Geospatial Data Processing

• AutoWindLoc: Precise Localization of Wind Turbines in High-Resolution Orthophotos for Enhanced Registers, pages 35–42

A

AI

• Exploring the Relation of Livability Mapping and Flood Exposure Analysis by Combining Remote Sensing and Citizen Science, pages 215–220

Aerial Imagery

• Adapting Semi-Supervised Segmentation methods to Multimodal Remote Sensing Data, pages 21–28

Aerial sensor

• Radiometric Cross-Calibration of an Aerial Sensor with Satellite Top-of-Atmosphere Reflectance, pages 49–55

Agriculture

• Standard To Validate Innovations in Agricultural Testing, pages 189–193

Artificial Intelligence for Earth observation

• Structuring Thesis Topics within the Copernicus Master in Digital Earth: Preparing Alumni for Future-Oriented Careers in the Space Industry, pages 89–96

Automated Localization

• AutoWindLoc: Precise Localization of Wind Turbines in High-Resolution Orthophotos for Enhanced Registers, pages 35–42

airborne

• HyTIR – an airborne hyperspectral imaging research platform in the LWIR wavelength range, pages 157–162

atmospheric radiative transfer simulation

• Radiometric Cross-Calibration of an Aerial Sensor with Satellite Top-of-Atmosphere Reflectance, pages 49–55

B

Bare soil composite

• Evaluating Different Methods for the Estimation of Bare Soil Surface Reflectance Using Multispectral Satellite Image Time Series, pages 207–214

Biomass

• The Role of Land Use Intensity on Vegetation Recovery Gradients After Land Abandonment in the Semiarid SE Alentejo, Portugal, pages 75–80

Boulder detection

• Exploration of Large language model assisted boulder detection from Lidar data, pages 57–65

Bridging Research and Practice

• Toward a Collaborative Framework: Integrating Remote Sensing Research with Forestry Practice, pages 291–297

Building Segmentation

• Segment Anything Model with LiDAR based images for building segmentation in forest areas, pages 13–19

C

CUSUM

• Detecting Bark Beetle-Induced Changes in Coniferous Alpine Forests Using Sentinel-2 Time Series and In-Situ Felling Data, pages 283–289

Carbon monitoring

• Standard To Validate Innovations in Agricultural Testing, pages 189–193

Change Detection

• Dimension Expansion-based Spatiotemporal Land Cover Change Detection: A Study Case Using Sentinel-2 Satellite Time Series, pages 29–34
• SenForFlood: A New Global Dataset for Flooded Area Detection, pages 97–102

Citizen Science

• Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums, pages 229–236

City trees

• Urban Trees for Changing Climates: Insights for Bavarian Cities, pages 267–273

Classification

• Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms, pages 1–6

Claude 3.7 Sonnet

• Exploration of Large language model assisted boulder detection from Lidar data, pages 57–65

Climate Smart

• Standard To Validate Innovations in Agricultural Testing, pages 189–193

Climate change monitoring

• Harmonizing satellite thermal data with ground-based observations for climate long-term monitoring, pages 127–132

Climate envelopes

• Urban Trees for Changing Climates: Insights for Bavarian Cities, pages 267–273

Consistency Regularization

• Adapting Semi-Supervised Segmentation methods to Multimodal Remote Sensing Data, pages 21–28

Contrastive Learning

• Adapting Semi-Supervised Segmentation methods to Multimodal Remote Sensing Data, pages 21–28

Convolutional Neural Network

• Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms, pages 1–6
• Multi-model Approach for Tree Detection and Classification in Wallonia Region (Belgium), pages 259–265

Convolutional Neural Networks

• Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches, pages 169–179

Czech Republic

• Reflectance Spectroscopy as a Tool for Identification of Historic Stone, pages 163–168

change detection

• Evaluating Flood Damages using Land Cover Changes Detection, pages 103–111

climate adaption

• How much Urban Green do Bavarian cities need to cool by 1 degree?, pages 7–12

climate change

• Exploring the Relation of Livability Mapping and Flood Exposure Analysis by Combining Remote Sensing and Citizen Science, pages 215–220

collision avoidance

• SEADETECT: Multi-sensor Cetacean Collision Prevention in the Pelagos Area of the Mediterranean Sea, pages 141–148

correlation analysis

• Multi-year multi-crop correlation analysis in Brasov area, pages 195–200

crop identification

• Multi-year multi-crop correlation analysis in Brasov area, pages 195–200

cross-calibration

• Radiometric Cross-Calibration of an Aerial Sensor with Satellite Top-of-Atmosphere Reflectance, pages 49–55

cultural landscapes

• Advancing the Monitoring of Traditional Meadow Orchards: Current Approaches and Future Directions, pages 133–139

D

Data Augmentation

• Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches, pages 169–179

Dataset

• SenForFlood: A New Global Dataset for Flooded Area Detection, pages 97–102

Deep Learning

• Streamlining urban tree data collection: a case study on Olomouc housing estates, pages 181–188
• TreePseCo: Scaling Individual Tree Crown Segmentation using Large Vision Models, pages 275–282

Digital Surface Model

• Segment Anything Model with LiDAR based images for building segmentation in forest areas, pages 13–19

Dimension Expansion

• Dimension Expansion-based Spatiotemporal Land Cover Change Detection: A Study Case Using Sentinel-2 Satellite Time Series, pages 29–34

data quality

• Innovative Data Solutions for Inclusive Cities: The IDEAtlas User Portal, pages 237–243

deep learning dataset

• Detecting Bark Beetle-Induced Changes in Coniferous Alpine Forests Using Sentinel-2 Time Series and In-Situ Felling Data, pages 283–289

deep-learning

• Innovative Data Solutions for Inclusive Cities: The IDEAtlas User Portal, pages 237–243

deprivation

• Exploring the Relation of Livability Mapping and Flood Exposure Analysis by Combining Remote Sensing and Citizen Science, pages 215–220

E

ECOSTRESS

• Harmonizing satellite thermal data with ground-based observations for climate long-term monitoring, pages 127–132

Earth Observation

• Structuring Thesis Topics within the Copernicus Master in Digital Earth: Preparing Alumni for Future-Oriented Careers in the Space Industry, pages 89–96

Earth Observation Data

• Devastating natural hazard observation with the combination of optical and microwave remote sensing datasets, Valencia 2025 flood, pages 121–126

Economic well-being

• Assessment of economic well-being in South Africa based on remote sensing transfer learning, pages 253–258

Education

• Educational Aspects of Using Google Earth Engine: Training Course for Educators by the Junior Academy of Sciences of Ukraine, pages 81–87

EnMap

• Satellite imagery for bauxite mine waste mapping in the frame of the m4mining project, pages 113–120

Environmental monitoring

• Harmonizing satellite thermal data with ground-based observations for climate long-term monitoring, pages 127–132

Erasmus Mundus Joint Master

• Structuring Thesis Topics within the Copernicus Master in Digital Earth: Preparing Alumni for Future-Oriented Careers in the Space Industry, pages 89–96

Evolutionary Algorithms

• Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms, pages 1–6

F

Features Learning

• Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms, pages 1–6

Flood Analysis

• Devastating natural hazard observation with the combination of optical and microwave remote sensing datasets, Valencia 2025 flood, pages 121–126

Flood Mapping

• SenForFlood: A New Global Dataset for Flooded Area Detection, pages 97–102

Forest Monitoring

• TreePseCo: Scaling Individual Tree Crown Segmentation using Large Vision Models, pages 275–282

Forest Products

• Toward a Collaborative Framework: Integrating Remote Sensing Research with Forestry Practice, pages 291–297

flood model

• Exploring the Relation of Livability Mapping and Flood Exposure Analysis by Combining Remote Sensing and Citizen Science, pages 215–220

forest

• Digital Forest Inventory Using Fused UAV and PLS Point Cloud Data, pages 299–304

G

GIS

• Addressing Cultural Heritage Challenges: Applications of Open-Access Remote Sensing Datasets for Monitoring Threats, pages 67–74

Gaussian Process

• Dimension Expansion-based Spatiotemporal Land Cover Change Detection: A Study Case Using Sentinel-2 Satellite Time Series, pages 29–34

Gemini 2.5 Pro

• Exploration of Large language model assisted boulder detection from Lidar data, pages 57–65

Geodata

• Educational Aspects of Using Google Earth Engine: Training Course for Educators by the Junior Academy of Sciences of Ukraine, pages 81–87

Geodata Science

• Structuring Thesis Topics within the Copernicus Master in Digital Earth: Preparing Alumni for Future-Oriented Careers in the Space Industry, pages 89–96

Geoinformatics

• Structuring Thesis Topics within the Copernicus Master in Digital Earth: Preparing Alumni for Future-Oriented Careers in the Space Industry, pages 89–96

Geovisualisation

• Structuring Thesis Topics within the Copernicus Master in Digital Earth: Preparing Alumni for Future-Oriented Careers in the Space Industry, pages 89–96

Google 2.5D Dataset

• Understanding Informal Settlement Transformation through Google’s 2.5D Dataset and Street View based Validation, pages 245–251

Google Street View

• Understanding Informal Settlement Transformation through Google’s 2.5D Dataset and Street View based Validation, pages 245–251

Greenery

• Streamlining urban tree data collection: a case study on Olomouc housing estates, pages 181–188

Ground-based thermal sensors

• Harmonizing satellite thermal data with ground-based observations for climate long-term monitoring, pages 127–132

gas detection

• HyTIR – an airborne hyperspectral imaging research platform in the LWIR wavelength range, pages 157–162

H

High-Resolution Orthophoto Analysis

• AutoWindLoc: Precise Localization of Wind Turbines in High-Resolution Orthophotos for Enhanced Registers, pages 35–42

Hyperspectral data

• Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms, pages 1–6

heritage preservation

• Addressing Cultural Heritage Challenges: Applications of Open-Access Remote Sensing Datasets for Monitoring Threats, pages 67–74

hyperspectral

• HyTIR – an airborne hyperspectral imaging research platform in the LWIR wavelength range, pages 157–162

I

Image Classification

• Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches, pages 169–179

Informal Settlements

• Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums, pages 229–236

Intra-Urban Heat Islands

• Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums, pages 229–236

Italy

• Aligning Evapotranspiration from MOD16A2.061 Product to Ground Estimates in Piemonte (NW Italy): an analysis of temporal and spatial biases, pages 201–206

imaging

• HyTIR – an airborne hyperspectral imaging research platform in the LWIR wavelength range, pages 157–162

informal settlements

• Innovative Data Solutions for Inclusive Cities: The IDEAtlas User Portal, pages 237–243

inventory

• Digital Forest Inventory Using Fused UAV and PLS Point Cloud Data, pages 299–304

K

Karlovo floods

• Evaluating Flood Damages using Land Cover Changes Detection, pages 103–111

Knowledge Distillation

• Large Scale Mowing Event Detection on Dense Time Series Data Using Deep Learning Methods and Knowledge Distillation, pages 43–48

L

LWIR

• HyTIR – an airborne hyperspectral imaging research platform in the LWIR wavelength range, pages 157–162

Land Degradation

• Land Restoration Effectiveness Assessed by Satellite-Based Remote Sensing Technologies as A New Monitoring Approach, pages 149–155

Land Use

• Large Scale Mowing Event Detection on Dense Time Series Data Using Deep Learning Methods and Knowledge Distillation, pages 43–48

Land Use Change

• The Role of Land Use Intensity on Vegetation Recovery Gradients After Land Abandonment in the Semiarid SE Alentejo, Portugal, pages 75–80

Landsat 8

• Harmonizing satellite thermal data with ground-based observations for climate long-term monitoring, pages 127–132
• Evaluating Different Methods for the Estimation of Bare Soil Surface Reflectance Using Multispectral Satellite Image Time Series, pages 207–214

Large Scale Monitoring

• Large Scale Mowing Event Detection on Dense Time Series Data Using Deep Learning Methods and Knowledge Distillation, pages 43–48

Large Vision Models

• TreePseCo: Scaling Individual Tree Crown Segmentation using Large Vision Models, pages 275–282

Large language model

• Exploration of Large language model assisted boulder detection from Lidar data, pages 57–65

LiDAR

• Segment Anything Model with LiDAR based images for building segmentation in forest areas, pages 13–19

Lidar data

• Exploration of Large language model assisted boulder detection from Lidar data, pages 57–65

Low-Cost Sensors

• Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums, pages 229–236

land cover

• Evaluating Flood Damages using Land Cover Changes Detection, pages 103–111

land surface temperature

• How much Urban Green do Bavarian cities need to cool by 1 degree?, pages 7–12

lidar

• Digital Forest Inventory Using Fused UAV and PLS Point Cloud Data, pages 299–304

M

MOD16A2GF

• Aligning Evapotranspiration from MOD16A2.061 Product to Ground Estimates in Piemonte (NW Italy): an analysis of temporal and spatial biases, pages 201–206

MODIS

• Harmonizing satellite thermal data with ground-based observations for climate long-term monitoring, pages 127–132

Machine Learning

• Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms, pages 1–6

Mediterranean

• Land Restoration Effectiveness Assessed by Satellite-Based Remote Sensing Technologies as A New Monitoring Approach, pages 149–155

Mine Wastes

• Satellite imagery for bauxite mine waste mapping in the frame of the m4mining project, pages 113–120

Mixed-Forests

• Multi-model Approach for Tree Detection and Classification in Wallonia Region (Belgium), pages 259–265

Mowing Event Detection

• Large Scale Mowing Event Detection on Dense Time Series Data Using Deep Learning Methods and Knowledge Distillation, pages 43–48

Mud Volcano

• Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches, pages 169–179

Multi-Component Samples

• SenForFlood: A New Global Dataset for Flooded Area Detection, pages 97–102

Multidimensional poverty

• Assessment of economic well-being in South Africa based on remote sensing transfer learning, pages 253–258

Multimodal Fusion

• Adapting Semi-Supervised Segmentation methods to Multimodal Remote Sensing Data, pages 21–28

maritime situation awareness

• SEADETECT: Multi-sensor Cetacean Collision Prevention in the Pelagos Area of the Mediterranean Sea, pages 141–148

meadow orchards

• Advancing the Monitoring of Traditional Meadow Orchards: Current Approaches and Future Directions, pages 133–139

multi-sensor automated detection

• SEADETECT: Multi-sensor Cetacean Collision Prevention in the Pelagos Area of the Mediterranean Sea, pages 141–148

N

NDVI time series

• Multi-year multi-crop correlation analysis in Brasov area, pages 195–200

NDWI

• Devastating natural hazard observation with the combination of optical and microwave remote sensing datasets, Valencia 2025 flood, pages 121–126

Nairobi

• Understanding Informal Settlement Transformation through Google’s 2.5D Dataset and Street View based Validation, pages 245–251

Negative Sampling

• AutoWindLoc: Precise Localization of Wind Turbines in High-Resolution Orthophotos for Enhanced Registers, pages 35–42

Norway Spruce

• Detecting Bark Beetle-Induced Changes in Coniferous Alpine Forests Using Sentinel-2 Time Series and In-Situ Felling Data, pages 283–289

Nutrient Testing

• Standard To Validate Innovations in Agricultural Testing, pages 189–193

O

Object Detection

• Multi-model Approach for Tree Detection and Classification in Wallonia Region (Belgium), pages 259–265

OpenAI o1

• Exploration of Large language model assisted boulder detection from Lidar data, pages 57–65

Outreach

• Toward a Collaborative Framework: Integrating Remote Sensing Research with Forestry Practice, pages 291–297

P

Penman-Monteith

• Aligning Evapotranspiration from MOD16A2.061 Product to Ground Estimates in Piemonte (NW Italy): an analysis of temporal and spatial biases, pages 201–206

Piemonte

• Aligning Evapotranspiration from MOD16A2.061 Product to Ground Estimates in Piemonte (NW Italy): an analysis of temporal and spatial biases, pages 201–206

PlanetScope

• Devastating natural hazard observation with the combination of optical and microwave remote sensing datasets, Valencia 2025 flood, pages 121–126

Pokljuka

• Detecting Bark Beetle-Induced Changes in Coniferous Alpine Forests Using Sentinel-2 Time Series and In-Situ Felling Data, pages 283–289

Pseudo-labeling

• Adapting Semi-Supervised Segmentation methods to Multimodal Remote Sensing Data, pages 21–28

platform

• HyTIR – an airborne hyperspectral imaging research platform in the LWIR wavelength range, pages 157–162

R

RUSLE

• Addressing Cultural Heritage Challenges: Applications of Open-Access Remote Sensing Datasets for Monitoring Threats, pages 67–74

Reference evapotranspiration

• Aligning Evapotranspiration from MOD16A2.061 Product to Ground Estimates in Piemonte (NW Italy): an analysis of temporal and spatial biases, pages 201–206

Reflectance spectroscopy

• Reflectance Spectroscopy as a Tool for Identification of Historic Stone, pages 163–168

Remote Sensing

• Segment Anything Model with LiDAR based images for building segmentation in forest areas, pages 13–19
• Educational Aspects of Using Google Earth Engine: Training Course for Educators by the Junior Academy of Sciences of Ukraine, pages 81–87
• Streamlining urban tree data collection: a case study on Olomouc housing estates, pages 181–188
• TreePseCo: Scaling Individual Tree Crown Segmentation using Large Vision Models, pages 275–282
• Toward a Collaborative Framework: Integrating Remote Sensing Research with Forestry Practice, pages 291–297

Remote sensing

• Addressing Cultural Heritage Challenges: Applications of Open-Access Remote Sensing Datasets for Monitoring Threats, pages 67–74
• Assessment of economic well-being in South Africa based on remote sensing transfer learning, pages 253–258

Restoration actions

• Land Restoration Effectiveness Assessed by Satellite-Based Remote Sensing Technologies as A New Monitoring Approach, pages 149–155

reflectance

• Radiometric Cross-Calibration of an Aerial Sensor with Satellite Top-of-Atmosphere Reflectance, pages 49–55

remote sensing

• Advancing the Monitoring of Traditional Meadow Orchards: Current Approaches and Future Directions, pages 133–139
• Digital Forest Inventory Using Fused UAV and PLS Point Cloud Data, pages 299–304

S

SAM

• Segment Anything Model with LiDAR based images for building segmentation in forest areas, pages 13–19
• Satellite imagery for bauxite mine waste mapping in the frame of the m4mining project, pages 113–120

SDG 11

• Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint and Road Data (Version 1), pages 221–228
• Innovative Data Solutions for Inclusive Cities: The IDEAtlas User Portal, pages 237–243

Sandstone

• Reflectance Spectroscopy as a Tool for Identification of Historic Stone, pages 163–168

Satellite Image Time Series

• Dimension Expansion-based Spatiotemporal Land Cover Change Detection: A Study Case Using Sentinel-2 Satellite Time Series, pages 29–34

Satellite Imagery

• Land Restoration Effectiveness Assessed by Satellite-Based Remote Sensing Technologies as A New Monitoring Approach, pages 149–155

Secondary Succession

• The Role of Land Use Intensity on Vegetation Recovery Gradients After Land Abandonment in the Semiarid SE Alentejo, Portugal, pages 75–80

Sentinel-1

• Devastating natural hazard observation with the combination of optical and microwave remote sensing datasets, Valencia 2025 flood, pages 121–126

Sentinel-2

• Dimension Expansion-based Spatiotemporal Land Cover Change Detection: A Study Case Using Sentinel-2 Satellite Time Series, pages 29–34
• Radiometric Cross-Calibration of an Aerial Sensor with Satellite Top-of-Atmosphere Reflectance, pages 49–55
• Satellite imagery for bauxite mine waste mapping in the frame of the m4mining project, pages 113–120
• Exploring the Relation of Livability Mapping and Flood Exposure Analysis by Combining Remote Sensing and Citizen Science, pages 215–220

Sentinel-2 data

• Multi-year multi-crop correlation analysis in Brasov area, pages 195–200

Sentinel-3

• Harmonizing satellite thermal data with ground-based observations for climate long-term monitoring, pages 127–132

Slovenia

• Detecting Bark Beetle-Induced Changes in Coniferous Alpine Forests Using Sentinel-2 Time Series and In-Situ Felling Data, pages 283–289

Slum Dynamics

• Understanding Informal Settlement Transformation through Google’s 2.5D Dataset and Street View based Validation, pages 245–251

Slums

• Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint and Road Data (Version 1), pages 221–228

Soil

• Evaluating Different Methods for the Estimation of Bare Soil Surface Reflectance Using Multispectral Satellite Image Time Series, pages 207–214

Spatial Deep Learning

• Multi-model Approach for Tree Detection and Classification in Wallonia Region (Belgium), pages 259–265

Spatial modeling

• Urban Trees for Changing Climates: Insights for Bavarian Cities, pages 267–273

Spectral reflectance

• Evaluating Different Methods for the Estimation of Bare Soil Surface Reflectance Using Multispectral Satellite Image Time Series, pages 207–214

Stakeholder

• Toward a Collaborative Framework: Integrating Remote Sensing Research with Forestry Practice, pages 291–297

Stone Provenance

• Reflectance Spectroscopy as a Tool for Identification of Historic Stone, pages 163–168

Surveys

• Educational Aspects of Using Google Earth Engine: Training Course for Educators by the Junior Academy of Sciences of Ukraine, pages 81–87

Sustainability

• Standard To Validate Innovations in Agricultural Testing, pages 189–193

satellite imagery

• Evaluating Flood Damages using Land Cover Changes Detection, pages 103–111

ship strikes

• SEADETECT: Multi-sensor Cetacean Collision Prevention in the Pelagos Area of the Mediterranean Sea, pages 141–148

slums

• Innovative Data Solutions for Inclusive Cities: The IDEAtlas User Portal, pages 237–243

soil erosion

• Addressing Cultural Heritage Challenges: Applications of Open-Access Remote Sensing Datasets for Monitoring Threats, pages 67–74

T

Time series Analysis

• Large Scale Mowing Event Detection on Dense Time Series Data Using Deep Learning Methods and Knowledge Distillation, pages 43–48

Top-of-Atmosphere

• Radiometric Cross-Calibration of an Aerial Sensor with Satellite Top-of-Atmosphere Reflectance, pages 49–55

Training

• Educational Aspects of Using Google Earth Engine: Training Course for Educators by the Junior Academy of Sciences of Ukraine, pages 81–87

Transfer Learning

• Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches, pages 169–179

Transfer learning

• Assessment of economic well-being in South Africa based on remote sensing transfer learning, pages 253–258

Tree Crown Delineation

• TreePseCo: Scaling Individual Tree Crown Segmentation using Large Vision Models, pages 275–282

Tree Mapping

• Streamlining urban tree data collection: a case study on Olomouc housing estates, pages 181–188

Tree Species classification

• Multi-model Approach for Tree Detection and Classification in Wallonia Region (Belgium), pages 259–265

U

U-Net

• Segment Anything Model with LiDAR based images for building segmentation in forest areas, pages 13–19

UAS

• Streamlining urban tree data collection: a case study on Olomouc housing estates, pages 181–188

UAV

• The Role of Land Use Intensity on Vegetation Recovery Gradients After Land Abandonment in the Semiarid SE Alentejo, Portugal, pages 75–80

UAV Imagery

• Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches, pages 169–179

UAV-imaging

• Advancing the Monitoring of Traditional Meadow Orchards: Current Approaches and Future Directions, pages 133–139

Unplanned Urbanization

• Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint and Road Data (Version 1), pages 221–228

Urban Change Detection

• Understanding Informal Settlement Transformation through Google’s 2.5D Dataset and Street View based Validation, pages 245–251

Urban Deprivation

• Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint and Road Data (Version 1), pages 221–228

Urban Morphometrics

• Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint and Road Data (Version 1), pages 221–228

Urban green

• Urban Trees for Changing Climates: Insights for Bavarian Cities, pages 267–273

Urban heat

• Urban Trees for Changing Climates: Insights for Bavarian Cities, pages 267–273

uls

• Digital Forest Inventory Using Fused UAV and PLS Point Cloud Data, pages 299–304

urban green

• How much Urban Green do Bavarian cities need to cool by 1 degree?, pages 7–12

urban heat island

• How much Urban Green do Bavarian cities need to cool by 1 degree?, pages 7–12

V

Vertical Densification

• Understanding Informal Settlement Transformation through Google’s 2.5D Dataset and Street View based Validation, pages 245–251

W

WV3

• Satellite imagery for bauxite mine waste mapping in the frame of the m4mining project, pages 113–120

Wind Turbine Detection

• AutoWindLoc: Precise Localization of Wind Turbines in High-Resolution Orthophotos for Enhanced Registers, pages 35–42

wildlife protection

• SEADETECT: Multi-sensor Cetacean Collision Prevention in the Pelagos Area of the Mediterranean Sea, pages 141–148