A

Adami, M.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Almeida, C.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Almeida, C. A.

• DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome, pages 127–133
• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350
• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Alves, R. C. M.

• Multi-attribute decision-making model based on Remote Sensing to enhance the environmental auditing of Sustainable Forest Management in the Brazilian Amazon forest, pages 107–113

Amaral, S.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350
• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

An, L.

• Ice flow velocity of the Nioghalvfjerdsfjorden Glacier and Zachariæ Isstrøm, Northeast Greenland, in the 1960s from Historical Satellite Imagery, pages 101–106

Andrade-Miranda, G. X.

• Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical Biomes, pages 519–525

Andreucci, S.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Angeloni, R.

• High definition 3D models of small legume seed: a close up application to support ancient plant genomics, pages 17–24

Antoniou, C.

• StreamUR: Physics-informed Near Real-Time Underwater Image Restoration, pages 1–8

Aquilué, N.

• Estimating canopy fuels across Europe with satellite data and allometric equations, pages 279–285

Arcoverde, G. F. B.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Ariza-López, F. J.

• Influence of tree density and terrain slope on ground point density in LiDAR point clouds: a simulation-based study with Helios++, pages 197–202

Artist, D.

• Pixels relationship analysis for extracting building footprints, pages 141–146

Ayala-Hidalgo, S.

• Trends of Remote Sensing applications for Amazon monitoring, pages 393–399

Azañon, J. M.

• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

B

Bai, J.

• Discussion on the Management of spatio-temporal Data Security for Intelligent Connected Vehicles, pages 301–304

Balestra, M.

• High definition 3D models of small legume seed: a close up application to support ancient plant genomics, pages 17–24

Ballère, M.

• Assessment of land restoration from optical satellite image time-series, pages 25–33

Barco-Coyote, S.

• Understanding the Influence of Vegetation on Urban Open-Channel Flow: A Numerical Modeling Approach in Monterrey, Mexico, pages 453–458

Barra, A.

• Wide area maps of building differential deformations, pages 77–82
• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

Barreto, E. H. P.

• De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning, pages 387–392

Bedoya, D.

• Automatic Boundary Extraction from RADAR Images Using Artificial Intelligence Techniques, pages 295–300

Bellos, V.

• Enhancing Fluvial Modeling and Flood Prediction Accuracy through the Fusion of 3D Point Clouds, Multispectral, and RGB Data, pages 507–512

Beltrão, N. E. S.

• Monitoring Vegetation Cover in mining areas in the municipality of Ipixuna do Pará (PA), pages 115–120

Bernini, H.

• Assessment of active fire detection in Serra da Canastra National Park using MODIS and VIIRS sensors, pages 407–412

Bezerra, U. A.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Blanchard, E.

• Monitoring mangroves with multi-sensor Earth Observation data sets: from one-shot historical cartography to online and near-real-time monitoring tools, pages 35–41

Boas, C. V.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Bontempo e Silva, E. A.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Bottani, M.

• Advanced Bayesian Method for Timely Small-Scale Forest Loss Detection in the Brazilian Amazon and Cerrado with Sentinel-1 Time-Series, pages 43–49

Bou, P.-A.

• Tropical forest robust 3D description using advanced multidimensional SAR imaging: techniques and performance in the context of the upcoming BIOMASS mission, pages 163–168

Bouvet, A.

• Advanced Bayesian Method for Timely Small-Scale Forest Loss Detection in the Brazilian Amazon and Cerrado with Sentinel-1 Time-Series, pages 43–49
• DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome, pages 127–133
• Tackling high biomass in tropical forests through the BIOMASS mission, pages 287–293

Braga, D.

• Trends of Remote Sensing applications for Amazon monitoring, pages 393–399

Buongiorno, F.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Béjar-Pizarro, M.

• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

C

Camilotti, V. L.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Campos, M. B.

• Filtering Keypoints with ORB Features, pages 177–182

Cao, J.

• Generative 3D Reconstruction of Martian Surfaces using Monocular Images, pages 51–56

Cardoso, D. R. R. S.

• Mapping Selective Logging in the Amazon with Artificial Intelligence and Sentinel-2, pages 121–126

Carreiro, G. A.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Castanheiro, L. F.

• Experimental assessment of IMU data processing techniques for a backpack mobile laser scanning system, pages 57–62
• Filtering Keypoints with ORB Features, pages 177–182

Casu, M.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Catry, T.

• Monitoring mangroves with multi-sensor Earth Observation data sets: from one-shot historical cartography to online and near-real-time monitoring tools, pages 35–41

Celeste, J. Jr.

• Evaluation of multiple SAR speckling filter techniques performance in irrigated rice areas, pages 169–176

Chauhan, P.

• A Unified Framework for Analysis-Ready Data generation from Resourcesat-2/2A sensors, pages 257–264

Chen, D.

• Land use/land cover forecast and urban sprawl analysis in a Brazilian city in the Atlantic Forest Biome, pages 465–470

Chen, H.

• Discussion on the Management of spatio-temporal Data Security for Intelligent Connected Vehicles, pages 301–304

Cheng, I.

• Evaluation of multiple SAR speckling filter techniques performance in irrigated rice areas, pages 169–176

Cheriyanda Raveendra, H. A.

• Using Earth observation to support the predictive accuracy of species distribution models in ecological restoration: a case study of Poland beavers (Castor fiber), pages 63–70

Chiorato, A. F.

• Baselines for Calculating Crop Water Stress Index in Bean Cultivation, pages 501–506

Coelho, L. F. M.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Coladello, L. F.

• Use of HANTS algorithm in Sentinel-2 images for interpolation of missing data: a case-study for soy agricultural areas in periods of growth and harvesting, pages 71–76

Collu, C.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Correa, M.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Correia da Cunha, E. V.

• Assessment of Phytoplankton Biomass and Diversity in Northeast Brazil via Satellite Ocean Color Observation, pages 89–95

Correia-Lima, D. L.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Costa, J. D. S.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406
• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Crippa, B.

• Proposed Method for Improving PSI Capabilities in Ground Deformation Monitoring for The Application of Geo-Energy Projects, pages 459–464

Crosetto, M.

• Wide area maps of building differential deformations, pages 77–82
• A Low-Cost C-band Active Reflector for InSAR deformation monitoring, pages 319–324
• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356
• Proposed Method for Improving PSI Capabilities in Ground Deformation Monitoring for The Application of Geo-Energy Projects, pages 459–464

Csatho, B.

• Simultaneous Determination of Horizontal and Vertical Accuracy of ICESat-2 in McMurdo Dry Valleys, Antarctica, pages 83–88

Cuevas-González, M.

• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

Cunha, J. E. D. B. L.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Cunha, P. W.

• Assessment of active fire detection in Serra da Canastra National Park using MODIS and VIIRS sensors, pages 407–412

da Costa, G. A. O. P.

• Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical Biomes, pages 519–525

de Carvalho, M. A.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

de Castro Melo, P. A. M.

• Assessment of Phytoplankton Biomass and Diversity in Northeast Brazil via Satellite Ocean Color Observation, pages 89–95

D

Dadrass Javan, F.

• De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning, pages 387–392

Dai, L.

• Ice flow velocity of the Nioghalvfjerdsfjorden Glacier and Zachariæ Isstrøm, Northeast Greenland, in the 1960s from Historical Satellite Imagery, pages 101–106

Damasceno, C. D. S.

• Mapping Selective Logging in the Amazon with Artificial Intelligence and Sentinel-2, pages 121–126

Delaître, E.

• Monitoring mangroves with multi-sensor Earth Observation data sets: from one-shot historical cartography to online and near-real-time monitoring tools, pages 35–41

Dessì, F.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Dhote, P. R.

• Dam Breach Analysis and Damage Assessment of Nova Kakhovka Dam using Satellite data and 1D and 2D Hydrodynamic Modeling, pages 251–256

Dias, F. G.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Dill, R.

• Standardization of Performance Metrics for Benchmarking InSAR Parameter Estimation, pages 493–499

Doblas, J.

• Advanced Bayesian Method for Timely Small-Scale Forest Loss Detection in the Brazilian Amazon and Cerrado with Sentinel-1 Time-Series, pages 43–49
• DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome, pages 127–133
• Tackling high biomass in tropical forests through the BIOMASS mission, pages 287–293

Dousseau, S. L.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Dwivedi, S. K.

• Dam Breach Analysis and Damage Assessment of Nova Kakhovka Dam using Satellite data and 1D and 2D Hydrodynamic Modeling, pages 251–256

do Carmo, A. F. C.

• Use of HANTS algorithm in Sentinel-2 images for interpolation of missing data: a case-study for soy agricultural areas in periods of growth and harvesting, pages 71–76

E

Emelyanov, A.

• Pixels relationship analysis for extracting building footprints, pages 141–146

Escada, M. I. S.

• Evaluating Forest Disturbance Detection Methods based on Satellite Image Time Series for Amazon Deforestation Alerts, pages 357–364

Eskandari, R.

• Investigation on Miage/Brenva Glaciers in The Alps From 50s to-date Based on Remote-Sensing Data, pages 147–154

Espín-López, P. F.

• A Low-Cost C-band Active Reflector for InSAR deformation monitoring, pages 319–324

Esteves, R. J. Z.

• Land Use and Land Cover Change Analysis in Brazilian Urban centres: an approach using Cellular Automata and Neural Networks, pages 155–161

Ezquerro, P.

• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

F

Fantini, G.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Faria Junior, C. S.

• Use of HANTS algorithm in Sentinel-2 images for interpolation of missing data: a case-study for soy agricultural areas in periods of growth and harvesting, pages 71–76

Farias, G. B.

• Assessment of Phytoplankton Biomass and Diversity in Northeast Brazil via Satellite Ocean Color Observation, pages 89–95

Fattorini, F.

• High definition 3D models of small legume seed: a close up application to support ancient plant genomics, pages 17–24

Faure, J.-F.

• Monitoring mangroves with multi-sensor Earth Observation data sets: from one-shot historical cartography to online and near-real-time monitoring tools, pages 35–41

Feitosa, R. Q.

• Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical Biomes, pages 519–525

Ferreira, B. G.

• Secondary growth deforestation leakage in the Pará beef cattle purchasing zone, pages 371–376

Ferreira, K. R.

• Evaluating Forest Disturbance Detection Methods based on Satellite Image Time Series for Amazon Deforestation Alerts, pages 357–364

Ferro-Famil, L.

• Advanced Bayesian Method for Timely Small-Scale Forest Loss Detection in the Brazilian Amazon and Cerrado with Sentinel-1 Time-Series, pages 43–49
• Tropical forest robust 3D description using advanced multidimensional SAR imaging: techniques and performance in the context of the upcoming BIOMASS mission, pages 163–168
• Tackling high biomass in tropical forests through the BIOMASS mission, pages 287–293

Fonseca, E. L.

• Global and local endmembers spectral patterns to estimate the urban structure in Porto Alegre (Brazil) in Landsat images using the Linear Spectral Mixture Model procedure, pages 217–222

Fugazza, D.

• Investigation on Miage/Brenva Glaciers in The Alps From 50s to-date Based on Remote-Sensing Data, pages 147–154

G

Gallay, M.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Galve, J. P.

• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

Gao, Q.

• A Low-Cost C-band Active Reflector for InSAR deformation monitoring, pages 319–324

Garcia, A. D. B.

• Evaluation of multiple SAR speckling filter techniques performance in irrigated rice areas, pages 169–176

Garcia, E.

• Wetland Condition Change Index using remote sensing images and Google Earth Engine, pages 135–140

Garcia, T. A. C.

• Filtering Keypoints with ORB Features, pages 177–182

Garg, V.

• Dam Breach Analysis and Damage Assessment of Nova Kakhovka Dam using Satellite data and 1D and 2D Hydrodynamic Modeling, pages 251–256
• Variability of Hydro-Meteorological Fluxes in North West Himalayan Basins for Hydrological and Sustainability Studies, pages 427–435
• Detection of Onset of Melt and Freeze of Snow in the Upper Chenab Basin Using Remote Sensing Data, pages 477–486

Gatti, L. V.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Gavrilyuk, F.

• Reconstruction of partially destroyed structures using digital methods, pages 513–518

Genzano, N.

• Investigation on Miage/Brenva Glaciers in The Alps From 50s to-date Based on Remote-Sensing Data, pages 147–154

Georgievska, S.

• De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning, pages 387–392

Gevaert, C.

• De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning, pages 387–392

Ghivarry, G.

• Assessing the potential of polarimetric decomposition of Sentinel-1 SAR for the estimation of mangrove forest biomass, pages 183–190

Goncalves, N. B.

• Cloud shadow and uneven illumination detection and correction using the U-net architecture in near-surface images of complex forest canopies, pages 191–196

González-Olabarria, J. R.

• Estimating canopy fuels across Europe with satellite data and allometric equations, pages 279–285

González-Quiñones, J. J.

• Influence of tree density and terrain slope on ground point density in LiDAR point clouds: a simulation-based study with Helios++, pages 197–202

Granja, L. M.

• Enhanced Forest Inventories: A QGIS Plugin to incorporate R processing tools in forest management, pages 203–208

Guardiola, C.

• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

Guimarães, Y.

• Trends of Remote Sensing applications for Amazon monitoring, pages 393–399

Guo, X.

• A Scene Graph Generation Method for Historical District Street-view Imagery: A Case Study in Beijing, China, pages 209–216

Gusmão, L. H.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Góes, J. D. A.

• Baselines for Calculating Crop Water Stress Index in Bean Cultivation, pages 501–506

H

He, L.

• Optimal Design of Flexible Imaging Modes for Agile Optical Remote Sensing Satellites, pages 305–310

Helen, F.

• Assessment of land restoration from optical satellite image time-series, pages 25–33

Heudes, C.

• Assessment of land restoration from optical satellite image time-series, pages 25–33

Hirye, M. C. D. M.

• Global and local endmembers spectral patterns to estimate the urban structure in Porto Alegre (Brazil) in Landsat images using the Linear Spectral Mixture Model procedure, pages 217–222

Hnatushenko, V.

• Neural Network-Based Analysis of Forest Fire Aftermath in Class-Imbalanced Remote Sensing Earth Image Classification, pages 223–229
• Neural Network-Based Analysis of Forest Fire Aftermath in Class-Imbalanced Remote Sensing Earth Image Classification, pages 223–229

Ho Tong Minh, D.

• Tackling high biomass in tropical forests through the BIOMASS mission, pages 287–293

Hua, L.

• Identifying Forest Types and Distribution Patterns in Shennongjia National Park, pages 487–491

Huang, G.

• A Method for Removing Outlier Noise from ArrayInSAR Point Clouds based on Hybrid Filtering, pages 239–244

Huang, L.

• Discussion on the Management of spatio-temporal Data Security for Intelligent Connected Vehicles, pages 301–304

Huang, R.

• Generative 3D Reconstruction of Martian Surfaces using Monocular Images, pages 51–56

Huang, Y.

• Tropical forest robust 3D description using advanced multidimensional SAR imaging: techniques and performance in the context of the upcoming BIOMASS mission, pages 163–168

Hyyti, H.

• Experimental assessment of IMU data processing techniques for a backpack mobile laser scanning system, pages 57–62

I

Iescheck, A. L.

• Multi-attribute decision-making model based on Remote Sensing to enhance the environmental auditing of Sustainable Forest Management in the Brazilian Amazon forest, pages 107–113

Ishii, Y.

• Landslide Risk Assessment along Roads by Using Radar-driven Land Deformation and Rainfall Data, pages 231–237

J

Jacquin, A.

• Assessment of land restoration from optical satellite image time-series, pages 25–33

Ji, F.

• A Method for Removing Outlier Noise from ArrayInSAR Point Clouds based on Hybrid Filtering, pages 239–244

Jia, R.

• Shape-from-Shading Derived DEMs from ShadowCam Images in Permanently Shadowed Regions at the Lunar South Pole: A First Look, pages 245–250

Jiang, J.

• A Scene Graph Generation Method for Historical District Street-view Imagery: A Case Study in Beijing, China, pages 209–216

Jácome Paz, M. P.

• Understanding the Influence of Vegetation on Urban Open-Channel Flow: A Numerical Modeling Approach in Monterrey, Mexico, pages 453–458

K

Kadam, P. B.

• Dam Breach Analysis and Damage Assessment of Nova Kakhovka Dam using Satellite data and 1D and 2D Hydrodynamic Modeling, pages 251–256

Kanuk, J.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Kaplan, G.

• Exploring Ground-Level Ozone Distribution Across Different Land Covers in the Veneto Region, Italy, pages 331–335

Karantzalos, K.

• StreamUR: Physics-informed Near Real-Time Underwater Image Restoration, pages 1–8

Keerthi, V.

• A Unified Framework for Analysis-Ready Data generation from Resourcesat-2/2A sensors, pages 257–264

Kishida, K.

• Landslide Risk Assessment along Roads by Using Radar-driven Land Deformation and Rainfall Data, pages 231–237

Kniaz, V.

• Pixels relationship analysis for extracting building footprints, pages 141–146

Kniaz, V. V.

• Improving change detection performance with generative-adversarial augmentation of dataset, pages 265–271

Knyaz, V.

• Pixels relationship analysis for extracting building footprints, pages 141–146

Knyaz, V. A.

• Improving change detection performance with generative-adversarial augmentation of dataset, pages 265–271

Kochneva, D.

• Reconstruction of partially destroyed structures using digital methods, pages 513–518

Koleck, T.

• Advanced Bayesian Method for Timely Small-Scale Forest Loss Detection in the Brazilian Amazon and Cerrado with Sentinel-1 Time-Series, pages 43–49
• DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome, pages 127–133
• Tackling high biomass in tropical forests through the BIOMASS mission, pages 287–293

Kopsiaftis, G.

• Enhancing Fluvial Modeling and Flood Prediction Accuracy through the Fusion of 3D Point Clouds, Multispectral, and RGB Data, pages 507–512

Kourtis, I.

• Enhancing Fluvial Modeling and Flood Prediction Accuracy through the Fusion of 3D Point Clouds, Multispectral, and RGB Data, pages 507–512

Krówczyńska, M.

• Identification of asbestos-cement roofing with the use of remote sensing data in the capital city of Poland, pages 273–278

Ku, O.

• De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning, pages 387–392

Kukko, A.

• Experimental assessment of IMU data processing techniques for a backpack mobile laser scanning system, pages 57–62

Kurihara, A.

• Landslide Risk Assessment along Roads by Using Radar-driven Land Deformation and Rainfall Data, pages 231–237

Kutchartt, E.

• Assessing the potential of polarimetric decomposition of Sentinel-1 SAR for the estimation of mangrove forest biomass, pages 183–190
• Estimating canopy fuels across Europe with satellite data and allometric equations, pages 279–285

L

Leon, J.

• Automatic Boundary Extraction from RADAR Images Using Artificial Intelligence Techniques, pages 295–300

Li, R.

• Ice flow velocity of the Nioghalvfjerdsfjorden Glacier and Zachariæ Isstrøm, Northeast Greenland, in the 1960s from Historical Satellite Imagery, pages 101–106

Li, T.

• Optimal Design of Flexible Imaging Modes for Agile Optical Remote Sensing Satellites, pages 305–310

Li, Y.

• Discussion on the Management of spatio-temporal Data Security for Intelligent Connected Vehicles, pages 301–304

Li, Z.

• Optimal Design of Flexible Imaging Modes for Agile Optical Remote Sensing Satellites, pages 305–310

Liao, Q.

• Discussion on the Management of spatio-temporal Data Security for Intelligent Connected Vehicles, pages 301–304

Lima, I. F.

• Monitoring Vegetation Cover in mining areas in the municipality of Ipixuna do Pará (PA), pages 115–120

Liu, B.

• Optimal Design of Flexible Imaging Modes for Agile Optical Remote Sensing Satellites, pages 305–310

Liu, T.

• Optimal Design of Flexible Imaging Modes for Agile Optical Remote Sensing Satellites, pages 305–310

Liu, X.

• Ice flow velocity of the Nioghalvfjerdsfjorden Glacier and Zachariæ Isstrøm, Northeast Greenland, in the 1960s from Historical Satellite Imagery, pages 101–106
• A Scene Graph Generation Method for Historical District Street-view Imagery: A Case Study in Beijing, China, pages 209–216

Lobo Torres, D.

• Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical Biomes, pages 519–525

Lu, L.

• A Method for Removing Outlier Noise from ArrayInSAR Point Clouds based on Hybrid Filtering, pages 239–244

Lui, J.

• Identifying Forest Types and Distribution Patterns in Shennongjia National Park, pages 487–491

Luo, P.

• Monitoring Activity of the Subglacial Lake Mercer Based on CryoSat-2 and ICESat-2 Altimetry Data from 2011 to 2023, pages 311–318

Luzi, G.

• A Low-Cost C-band Active Reflector for InSAR deformation monitoring, pages 319–324
• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

de Lima, A. M. M.

• Assessment of Urban Heat Islands in an Eastern Amazonian city, pages 437–443

M

Machado, F. F.

• Monitoring Vegetation Cover in mining areas in the municipality of Ipixuna do Pará (PA), pages 115–120

Mahanti, P.

• Shape-from-Shading Derived DEMs from ShadowCam Images in Permanently Shadowed Regions at the Lunar South Pole: A First Look, pages 245–250
• Quantifying Topographic Influence on Irradiance Transfer in Permanently Shadowed Regions, pages 325–330

Mamić, L.

• Exploring Ground-Level Ozone Distribution Across Different Land Covers in the Veneto Region, Italy, pages 331–335

Mancini, A.

• High definition 3D models of small legume seed: a close up application to support ancient plant genomics, pages 17–24

Manju Sarma, M.

• A Unified Framework for Analysis-Ready Data generation from Resourcesat-2/2A sensors, pages 257–264

Mariappan, M.

• Assessment of land restoration from optical satellite image time-series, pages 25–33

Marsal, Q.

• Monitoring mangroves with multi-sensor Earth Observation data sets: from one-shot historical cartography to online and near-real-time monitoring tools, pages 35–41

Masiwal, A.

• Variability of Hydro-Meteorological Fluxes in North West Himalayan Basins for Hydrological and Sustainability Studies, pages 427–435

Mateos, R. M.

• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

Mathian, C.

• Assessment of land restoration from optical satellite image time-series, pages 25–33

Maurano, L. E. P.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Melis, M. T.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Mermoz, S.

• Advanced Bayesian Method for Timely Small-Scale Forest Loss Detection in the Brazilian Amazon and Cerrado with Sentinel-1 Time-Series, pages 43–49
• DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome, pages 127–133
• Tackling high biomass in tropical forests through the BIOMASS mission, pages 287–293

Messias, C. G.

• DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome, pages 127–133
• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350
• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406
• Assessment of active fire detection in Serra da Canastra National Park using MODIS and VIIRS sensors, pages 407–412

Miyazaki, Y.

• Landslide Risk Assessment along Roads by Using Radar-driven Land Deformation and Rainfall Data, pages 231–237

Monfort, M.

• A Low-Cost C-band Active Reflector for InSAR deformation monitoring, pages 319–324

Monserrat, O.

• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356
• Proposed Method for Improving PSI Capabilities in Ground Deformation Monitoring for The Application of Geo-Energy Projects, pages 459–464

Moraes, D. D. C.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Moreira, N. A. P.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Moreira, T. A.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Morelli, F.

• Assessment of active fire detection in Serra da Canastra National Park using MODIS and VIIRS sensors, pages 407–412

Mota, F. B. D. S.

• Evaluating Forest Disturbance Detection Methods based on Satellite Image Time Series for Amazon Deforestation Alerts, pages 357–364

Musacchio, M.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

de Macêdo, R. F.

• Multi-attribute decision-making model based on Remote Sensing to enhance the environmental auditing of Sustainable Forest Management in the Brazilian Amazon forest, pages 107–113

de Mello, K.

• Wetland Condition Change Index using remote sensing images and Google Earth Engine, pages 135–140
• Land use/land cover forecast and urban sprawl analysis in a Brazilian city in the Atlantic Forest Biome, pages 465–470

N

Naito, C.

• Projections of oil palm area in Malaysia and Indonesia to assess the relationship between plant growth and water consumption, pages 365–370

Naitza, S.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Nanni, L.

• High definition 3D models of small legume seed: a close up application to support ancient plant genomics, pages 17–24

Navarro, J.

• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

Nelson, B. W.

• Cloud shadow and uneven illumination detection and correction using the U-net architecture in near-surface images of complex forest canopies, pages 191–196

Neto, M. R. R.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Neumann, T.

• Simultaneous Determination of Horizontal and Vertical Accuracy of ICESat-2 in McMurdo Dry Valleys, Antarctica, pages 83–88

Nieto-Butrón, J. J.

• Understanding the Influence of Vegetation on Urban Open-Channel Flow: A Numerical Modeling Approach in Monterrey, Mexico, pages 453–458

Nisimura, T. D. M.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Noli, S.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Ntouskos, V.

• StreamUR: Physics-informed Near Real-Time Underwater Image Restoration, pages 1–8

O

Oba, T.

• Landslide Risk Assessment along Roads by Using Radar-driven Land Deformation and Rainfall Data, pages 231–237

Olea-Encina, P.

• Proposed Method for Improving PSI Capabilities in Ground Deformation Monitoring for The Application of Geo-Energy Projects, pages 459–464

Oliveira Junior, L.

• Secondary growth deforestation leakage in the Pará beef cattle purchasing zone, pages 371–376

Oliveira, G. E. T.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Oliveira, P. D. P.

• De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning, pages 387–392

Onacillova, K.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Onaopemipo Akintola, M.

• Enhancing Disaster Response and Resilience Through Near-Time GIS for Flood Monitoring and Analysis in Niger River Basin, Nigeria, pages 377–385

de Oliveira, F.

• De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning, pages 387–392

de Oliveira, S. M.

• Monitoring Vegetation Cover in mining areas in the municipality of Ipixuna do Pará (PA), pages 115–120

P

Pan, J.

• Optimal Design of Flexible Imaging Modes for Agile Optical Remote Sensing Satellites, pages 305–310

Papa, R.

• High definition 3D models of small legume seed: a close up application to support ancient plant genomics, pages 17–24

Pavlovsky, P.

• A Low-Cost C-band Active Reflector for InSAR deformation monitoring, pages 319–324

Pedro, A. A.

• De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning, pages 387–392

Pereira, J. A.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Pereira, M. D. A.

• Land Use and Land Cover Change Analysis in Brazilian Urban centres: an approach using Cellular Automata and Neural Networks, pages 155–161
• Trends of Remote Sensing applications for Amazon monitoring, pages 393–399

Perez, L. P.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Pestana, A. L. M.

• Mapping the water cover of a protected area in the Amazon using Sentinel 1A data, pages 97–100

Pettinati, D. R.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Peña-Villacreses, G.

• Trends of Remote Sensing applications for Amazon monitoring, pages 393–399

Picco, L.

• Using Earth observation to support the predictive accuracy of species distribution models in ecological restoration: a case study of Poland beavers (Castor fiber), pages 63–70

Pierdicca, R.

• High definition 3D models of small legume seed: a close up application to support ancient plant genomics, pages 17–24

Pinheiro, T. F.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Pinto, G. S.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350
• Assessment of active fire detection in Serra da Canastra National Park using MODIS and VIIRS sensors, pages 407–412

Pinto, J. F. S. K. C.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350
• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Pinto, R. A.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Pires, R. C. D. M.

• Baselines for Calculating Crop Water Stress Index in Bean Cultivation, pages 501–506

Pirotti, F.

• Using Earth observation to support the predictive accuracy of species distribution models in ecological restoration: a case study of Poland beavers (Castor fiber), pages 63–70
• Assessing the potential of polarimetric decomposition of Sentinel-1 SAR for the estimation of mangrove forest biomass, pages 183–190
• Enhanced Forest Inventories: A QGIS Plugin to incorporate R processing tools in forest management, pages 203–208
• Estimating canopy fuels across Europe with satellite data and allometric equations, pages 279–285
• Exploring Ground-Level Ozone Distribution Across Different Land Covers in the Veneto Region, Italy, pages 331–335
• Detection and correlation analysis of seasonal vertical ground movement measured from SAR and drought conditions, pages 413–420

Planells, M.

• Tackling high biomass in tropical forests through the BIOMASS mission, pages 287–293

Polidori, L.

• Influence of tree density and terrain slope on ground point density in LiDAR point clouds: a simulation-based study with Helios++, pages 197–202
• Tackling high biomass in tropical forests through the BIOMASS mission, pages 287–293

Popov, S.

• Monitoring Activity of the Subglacial Lake Mercer Based on CryoSat-2 and ICESat-2 Altimetry Data from 2011 to 2023, pages 311–318

Prado, D. F. S.

• Baselines for Calculating Crop Water Stress Index in Bean Cultivation, pages 501–506

Proisy, C.

• Monitoring mangroves with multi-sensor Earth Observation data sets: from one-shot historical cartography to online and near-real-time monitoring tools, pages 35–41

Prudente, V. H. R.

• Evaluation of multiple SAR speckling filter techniques performance in irrigated rice areas, pages 169–176

Pujatti, M. A. S.

• Land Use and Land Cover Change Analysis in Brazilian Urban centres: an approach using Cellular Automata and Neural Networks, pages 155–161

Pölönen, I.

• Firefront Forecasting in Boreal Forests: Machine Learning Approach to Predict Wildfire Propagation, pages 445–452

Q

Qiao, G.

• Monitoring Activity of the Subglacial Lake Mercer Based on CryoSat-2 and ICESat-2 Altimetry Data from 2011 to 2023, pages 311–318

Qu, Z.

• Monitoring Activity of the Subglacial Lake Mercer Based on CryoSat-2 and ICESat-2 Altimetry Data from 2011 to 2023, pages 311–318

Quille-Mamani, J. A.

• Multiseasonal analysis of rice crop yield prediction with Sentinel-2 time series and UAV imagery in Lambayeque (Peru), pages 421–426

R

Rabuffi, F.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Rachit

• Variability of Hydro-Meteorological Fluxes in North West Himalayan Basins for Hydrological and Sustainability Studies, pages 427–435

Radhika, T.

• A Unified Framework for Analysis-Ready Data generation from Resourcesat-2/2A sensors, pages 257–264

Raiol, L. L.

• Assessment of Urban Heat Islands in an Eastern Amazonian city, pages 437–443

Raita-Hakola, A.-M.

• Firefront Forecasting in Boreal Forests: Machine Learning Approach to Predict Wildfire Propagation, pages 445–452

Rallis, I.

• Enhancing Fluvial Modeling and Flood Prediction Accuracy through the Fusion of 3D Point Clouds, Multispectral, and RGB Data, pages 507–512

Ramlie, M. C.

• Proposed Method for Improving PSI Capabilities in Ground Deformation Monitoring for The Application of Geo-Energy Projects, pages 459–464

Ramos-Fernández, L.

• Multiseasonal analysis of rice crop yield prediction with Sentinel-2 time series and UAV imagery in Lambayeque (Peru), pages 421–426

Ramírez-Serrato, N. L.

• Understanding the Influence of Vegetation on Urban Open-Channel Flow: A Numerical Modeling Approach in Monterrey, Mexico, pages 453–458

Reinoso-Gordo, J. F.

• Influence of tree density and terrain slope on ground point density in LiDAR point clouds: a simulation-based study with Helios++, pages 197–202

Reis, M. S.

• DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome, pages 127–133
• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Ribeiro, M. P.

• Land use/land cover forecast and urban sprawl analysis in a Brazilian city in the Atlantic Forest Biome, pages 465–470

Richards, A.

• Wetland Condition Change Index using remote sensing images and Google Earth Engine, pages 135–140

Rivera, J. S.

• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

Robinson, M.

• Quantifying Topographic Influence on Irradiance Transfer in Permanently Shadowed Regions, pages 325–330

Rocha, Y. A. D. S.

• Assessment of Urban Heat Islands in an Eastern Amazonian city, pages 437–443

Romshoo, S.

• Variability of Hydro-Meteorological Fluxes in North West Himalayan Basins for Hydrological and Sustainability Studies, pages 427–435

Ruiz, L. A.

• Multiseasonal analysis of rice crop yield prediction with Sentinel-2 time series and UAV imagery in Lambayeque (Peru), pages 421–426

S

Salvat, Q.

• Assessment of land restoration from optical satellite image time-series, pages 25–33

Sanches, I. D.

• Evaluation of multiple SAR speckling filter techniques performance in irrigated rice areas, pages 169–176

Santhosh, A.

• Detection of Onset of Melt and Freeze of Snow in the Upper Chenab Basin Using Remote Sensing Data, pages 477–486

Santos, D. C. R.

• Assessment of Urban Heat Islands in an Eastern Amazonian city, pages 437–443

Santos, J. O.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Santos, M. R. D. S.

• Trends of Remote Sensing applications for Amazon monitoring, pages 393–399

Sant’Anna, S. J. S.

• DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome, pages 127–133

Sasak, J.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Scaioni, M.

• Investigation on Miage/Brenva Glaciers in The Alps From 50s to-date Based on Remote-Sensing Data, pages 147–154

Scheide, A. D.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Schenk, T.

• Simultaneous Determination of Horizontal and Vertical Accuracy of ICESat-2 in McMurdo Dry Valleys, Antarctica, pages 83–88

Schmitt, M.

• Standardization of Performance Metrics for Benchmarking InSAR Parameter Estimation, pages 493–499

Sedda, L.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Sestini, M. F.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15
• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Shahbazi, S.

• Wide area maps of building differential deformations, pages 77–82
• ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps, pages 351–356

Shi, L.

• Discussion on the Management of spatio-temporal Data Security for Intelligent Connected Vehicles, pages 301–304

Shi, W.

• Identifying Forest Types and Distribution Patterns in Shennongjia National Park, pages 487–491

Sica, F.

• Standardization of Performance Metrics for Benchmarking InSAR Parameter Estimation, pages 493–499

Silva, A. R.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15

Silva, O. A. S.

• Assessment of active fire detection in Serra da Canastra National Park using MODIS and VIIRS sensors, pages 407–412

Silveira, J. M. D. C.

• Baselines for Calculating Crop Water Stress Index in Bean Cultivation, pages 501–506

Silvestre, L. J.

• Land Use and Land Cover Change Analysis in Brazilian Urban centres: an approach using Cellular Automata and Neural Networks, pages 155–161

Silvestri, M.

• First results of the spectral characterisation of a salt flat in Europe: the Sal 'e Porcus salty pond, pages 337–343

Simonetti, A.

• Cloud shadow and uneven illumination detection and correction using the U-net architecture in near-surface images of complex forest canopies, pages 191–196

Singhal, G.

• Variability of Hydro-Meteorological Fluxes in North West Himalayan Basins for Hydrological and Sustainability Studies, pages 427–435

Singla, S.

• Variability of Hydro-Meteorological Fluxes in North West Himalayan Basins for Hydrological and Sustainability Studies, pages 427–435

Skamantzari, M.

• Enhancing Fluvial Modeling and Flood Prediction Accuracy through the Fusion of 3D Point Clouds, Multispectral, and RGB Data, pages 507–512

Skrypitsyna, T.

• Reconstruction of partially destroyed structures using digital methods, pages 513–518

Smirnov, E.

• Reconstruction of partially destroyed structures using digital methods, pages 513–518

Soares, F. D. S.

• Land use/land cover forecast and urban sprawl analysis in a Brazilian city in the Atlantic Forest Biome, pages 465–470

Soldatenko, D.

• Neural Network-Based Analysis of Forest Fire Aftermath in Class-Imbalanced Remote Sensing Earth Image Classification, pages 223–229

Soler, L.

• Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope, pages 9–15
• DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome, pages 127–133
• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Soler, L. D. S.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

Soto Vega, P. J.

• Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical Biomes, pages 519–525

Souza Jr., C. M.

• Mapping Selective Logging in the Amazon with Artificial Intelligence and Sentinel-2, pages 121–126

Souza Junior, C.

• Secondary growth deforestation leakage in the Pará beef cattle purchasing zone, pages 371–376

Spanos, S.

• StreamUR: Physics-informed Near Real-Time Underwater Image Restoration, pages 1–8

Stark, S. C.

• Cloud shadow and uneven illumination detection and correction using the U-net architecture in near-surface images of complex forest canopies, pages 191–196

Sui, H.

• Identifying Forest Types and Distribution Patterns in Shennongjia National Park, pages 487–491

Suresh Kumar, M.

• A Unified Framework for Analysis-Ready Data generation from Resourcesat-2/2A sensors, pages 257–264

Susaki, J.

• Landslide Risk Assessment along Roads by Using Radar-driven Land Deformation and Rainfall Data, pages 231–237

da Silva, F. S.

• Mapping the water cover of a protected area in the Amazon using Sentinel 1A data, pages 97–100

de Souza Filho, J. S.

• Mapping Selective Logging in the Amazon with Artificial Intelligence and Sentinel-2, pages 121–126
• Secondary growth deforestation leakage in the Pará beef cattle purchasing zone, pages 371–376

dos Santos Junior, E. R.

• Wetland Condition Change Index using remote sensing images and Google Earth Engine, pages 135–140

dos Santos, S. B.

• Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado, pages 401–406

T

Le Toan, T.

• Tackling high biomass in tropical forests through the BIOMASS mission, pages 287–293

Takeuchi, W.

• Projections of oil palm area in Malaysia and Indonesia to assess the relationship between plant growth and water consumption, pages 365–370

Tang, H.

• Optimal Design of Flexible Imaging Modes for Agile Optical Remote Sensing Satellites, pages 305–310

Tebaldini, S.

• Tropical forest robust 3D description using advanced multidimensional SAR imaging: techniques and performance in the context of the upcoming BIOMASS mission, pages 163–168

Thakur, P. K.

• Dam Breach Analysis and Damage Assessment of Nova Kakhovka Dam using Satellite data and 1D and 2D Hydrodynamic Modeling, pages 251–256
• Variability of Hydro-Meteorological Fluxes in North West Himalayan Basins for Hydrological and Sustainability Studies, pages 427–435
• Detection of Onset of Melt and Freeze of Snow in the Upper Chenab Basin Using Remote Sensing Data, pages 477–486

Toffah, F. E.

• Detection and correlation analysis of seasonal vertical ground movement measured from SAR and drought conditions, pages 413–420

Tommaselli, A. M. G.

• Experimental assessment of IMU data processing techniques for a backpack mobile laser scanning system, pages 57–62
• Filtering Keypoints with ORB Features, pages 177–182

Tong, X.

• Generative 3D Reconstruction of Martian Surfaces using Monocular Images, pages 51–56

Trasobares, A.

• Estimating canopy fuels across Europe with satellite data and allometric equations, pages 279–285

U

Ureña-Cámara, M. A.

• Influence of tree density and terrain slope on ground point density in LiDAR point clouds: a simulation-based study with Helios++, pages 197–202

V

Valbuena, M.

• Automatic Boundary Extraction from RADAR Images Using Artificial Intelligence Techniques, pages 295–300

Valente, R. A.

• Land use/land cover forecast and urban sprawl analysis in a Brazilian city in the Atlantic Forest Biome, pages 465–470

Vantrepotte, V.

• Assessment of Phytoplankton Biomass and Diversity in Northeast Brazil via Satellite Ocean Color Observation, pages 89–95

Velastegui-Montoya, A.

• Land Use and Land Cover Change Analysis in Brazilian Urban centres: an approach using Cellular Automata and Neural Networks, pages 155–161
• Trends of Remote Sensing applications for Amazon monitoring, pages 393–399
• Assessment of Urban Heat Islands in an Eastern Amazonian city, pages 437–443

Vellas, S.

• StreamUR: Physics-informed Near Real-Time Underwater Image Restoration, pages 1–8

Victorino, P. S.

• Assessment of active fire detection in Serra da Canastra National Park using MODIS and VIIRS sensors, pages 407–412

Villard, L.

• Tackling high biomass in tropical forests through the BIOMASS mission, pages 287–293

Viégas, V. S.

• Land use/land cover forecast and urban sprawl analysis in a Brazilian city in the Atlantic Forest Biome, pages 465–470

W

Wilk, E.

• Identification of asbestos-cement roofing with the use of remote sensing data in the capital city of Poland, pages 273–278

Wu, B.

• Shape-from-Shading Derived DEMs from ShadowCam Images in Permanently Shadowed Regions at the Lunar South Pole: A First Look, pages 245–250

X

Xaud, H.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Xaud, M.

• Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation, pages 345–350

Xu, Y.

• Generative 3D Reconstruction of Martian Surfaces using Monocular Images, pages 51–56

Y

Yamaguchi, K.

• Landslide Risk Assessment along Roads by Using Radar-driven Land Deformation and Rainfall Data, pages 231–237

Yang, S.

• A Method for Removing Outlier Noise from ArrayInSAR Point Clouds based on Hybrid Filtering, pages 239–244

Ye, Z.

• Generative 3D Reconstruction of Martian Surfaces using Monocular Images, pages 51–56

Yu, J.

• A Method for Removing Outlier Noise from ArrayInSAR Point Clouds based on Hybrid Filtering, pages 239–244

Yépez-Rincon, F. D.

• Understanding the Influence of Vegetation on Urban Open-Channel Flow: A Numerical Modeling Approach in Monterrey, Mexico, pages 453–458

Z

Zhang, C.

• Identifying Forest Types and Distribution Patterns in Shennongjia National Park, pages 487–491

Zhang, G.

• Identifying Forest Types and Distribution Patterns in Shennongjia National Park, pages 487–491

Zheltov, S. Yu.

• Improving change detection performance with generative-adversarial augmentation of dataset, pages 265–271

Zhou, Q.

• Identifying Forest Types and Distribution Patterns in Shennongjia National Park, pages 487–491

Zou, H.

• Discussion on the Management of spatio-temporal Data Security for Intelligent Connected Vehicles, pages 301–304