- Article
(2583 KB) - Metadata XML
- November 08, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-3-2024
https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-127-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-127-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
07 Nov 2024
| 07 Nov 2024
DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome
Juan Doblas
GlobEO, Toulouse, France
Mariane Souza Reis
INPE, São José Dos Campos, Brazil
Stéphane Mermoz
GlobEO, Toulouse, France
Claudio Aparecido Almeida
INPE, São José Dos Campos, Brazil
Thierry Koleck
CNES, Toulouse, France
IRD, Toulouse, France
Cassiano Gustavo Messias
INPE, São José Dos Campos, Brazil
Luciana Soler
INPE, São José Dos Campos, Brazil
Alexandre Bouvet
IRD, Toulouse, France
Sidnei J. S. Sant’Anna
INPE, São José Dos Campos, Brazil
Related authors
Marta Bottani, Laurent Ferro-Famil, Juan Doblas, Stéphane Mermoz, Alexandre Bouvet, and Thierry Koleck
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 43–49, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-43-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-43-2024, 2024
Thuy Le Toan, Ludovic Villard, Dinh Ho Tong Minh, Juan Doblas, Stephane Mermoz, Laurent Ferro-Famil, Thierry Koleck, Alexandre Bouvet, Milena Planells, and Laurent Polidori
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 287–293, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-287-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-287-2024, 2024
Carla N. Neves, Mabel X. Ortega Adarme, Raul Q. Feitosa, Juan Doblas Prieto, and Gilson A. Giraldi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 261–267, https://doi.org/10.5194/isprs-annals-X-3-2024-261-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-261-2024, 2024
L. S. Soler, D. E. Silva, C. Messias, T. C. Lima, B. M. P. Bento, J. J. de Souza, J. Doblas, D. Moraes, and C. Almeida
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 843–849, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-843-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-843-2021, 2021
J. Doblas, A. Carneiro, Y. Shimabukuro, S. Sant’Anna, and L. Aragão
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 493–498, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-493-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-493-2020, 2020
A. F. Carneiro, W. V. Oliveira, S. J. S. Sant'Anna, J. Doblas, and D. V. Vaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 259–265, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-259-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-259-2020, 2020
J. Doblas, A. Carneiro, Y. Shimabukuro, S. Sant’Anna, L. Aragão, and F. R. S. Pereira
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 89–96, https://doi.org/10.5194/isprs-annals-V-3-2020-89-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-89-2020, 2020
Gustavo Felipe Balué Arcoverde, Aline Rocha Silva, Renato Alves Pinto, Filipe Gomes Dias, Júlia Arantes Pereira, Ulisses Alencar Bezerra, Gabriela Alves Carreiro, Edgard Alves Bontempo e Silva, Luís Francico Mello Coelho, John Elton de Brito Leite Cunha, Marcelo Francisco Sestini, Cloves Vilas Boas, Luciana Soler, and Claudio Almeida
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 9–15, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-9-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-9-2024, 2024
Marta Bottani, Laurent Ferro-Famil, Juan Doblas, Stéphane Mermoz, Alexandre Bouvet, and Thierry Koleck
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 43–49, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-43-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-43-2024, 2024
Thuy Le Toan, Ludovic Villard, Dinh Ho Tong Minh, Juan Doblas, Stephane Mermoz, Laurent Ferro-Famil, Thierry Koleck, Alexandre Bouvet, Milena Planells, and Laurent Polidori
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 287–293, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-287-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-287-2024, 2024
Cassiano G. Messias, Mariane S. Reis, Vagner L. Camilotti, Luciana Soler, Silvana Amaral, Deborah L. Correia-Lima, Luciana V. Gatti, Marcos Adami, Haron Xaud, Maristela Xaud, João Felipe S. K. C. Pinto, Gilberto E. T. Oliveira, Luiz Henrique Gusmão, Guilherme S. Pinto, Noeli A. P. Moreira, Letícia P. Perez, Manoel R. R. Neto, Luis E. P. Maurano, and Cláudio A. Almeida
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 345–350, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-345-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-345-2024, 2024
Taise Farias Pinheiro, João Felipe Sobrinho Kneipp Cerqueira Pinto, Magog Araújo de Carvalho, Marcelo Francisco Sestini, Danilo Rocco Pettinati, Jacqueline Oliveira Santos, Sandra Benfica dos Santos, Luciana de Souza Soler, Andrea Daleffi Scheide, Cassiano Gustavo Messias, Claudio Aparecido Almeida, Silvana Amaral, Thayse Azevedo Moreira, Sérgio Lopes Dousseau, Diego da Cunha Moraes, Jonatas da Silva Costa, Joelma da Silva Costa, and Thiago de Moraes Nisimura
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 401–406, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-401-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-401-2024, 2024
Guilherme S. Pinto, Henrique Bernini, Cassiano G. Messias, Otávio A. S. Silva, Paulo W. Cunha, Paulo S. Victorino, and Fabiano Morelli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 407–412, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-407-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-407-2024, 2024
Carla N. Neves, Mabel X. Ortega Adarme, Raul Q. Feitosa, Juan Doblas Prieto, and Gilson A. Giraldi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 261–267, https://doi.org/10.5194/isprs-annals-X-3-2024-261-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-261-2024, 2024
Simon Boitard, Arnaud Mialon, Stéphane Mermoz, Nemesio J. Rodríguez-Fernández, Philippe Richaume, Julio César Salazar-Neira, Stéphane Tarot, and Yann H. Kerr
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-184, https://doi.org/10.5194/essd-2024-184, 2024
Revised manuscript under review for ESSD
Short summary
Short summary
Above Ground Biomass (AGB) is a critical component of the Earth carbon cycle. The presented dataset aims to help monitoring this essential climate variable with AGB time series from 2011 onward, derived with a carefully calibrated spatial relationship between the measurements of the Soil Moisture and Ocean Salinity (SMOS) mission and pre-existing AGB maps. The produced dataset has been extensively compared with other available AGB time series and can be used in AGB studies.
Wolfgang Knorr, Matthew Williams, Tea Thum, Thomas Kaminski, Michael Voßbeck, Marko Scholze, Tristan Quaife, Luke Smallmann, Susan Steele-Dunne, Mariette Vreugdenhil, Tim Green, Sönke Zähle, Mika Aurela, Alexandre Bouvet, Emanuel Bueechi, Wouter Dorigo, Tarek El-Madany, Mirco Migliavacca, Marika Honkanen, Yann Kerr, Anna Kontu, Juha Lemmetyinen, Hannakaisa Lindqvist, Arnaud Mialon, Tuuli Miinalainen, Gaetan Pique, Amanda Ojasalo, Shaun Quegan, Peter Rayner, Pablo Reyes-Muñoz, Nemesio Rodríguez-Fernández, Mike Schwank, Jochem Verrelst, Songyan Zhu, Dirk Schüttemeyer, and Matthias Drusch
EGUsphere, https://doi.org/10.5194/egusphere-2024-1534, https://doi.org/10.5194/egusphere-2024-1534, 2024
Short summary
Short summary
When it comes to climate change, the land surfaces are where the vast majority of impacts happen. The task of monitoring those across the globe is formidable and must necessarily rely on satellites – at a significant cost: the measurements are only indirect and require comprehensive physical understanding. We have created a comprehensive modelling system that we offer to the research community to explore how satellite data can be better exploited to help us see what changes on our lands.
Tatiana Mora Kuplich, Luciana Soler, Igor da Silva Narvaes, Daniela Peixoto, Patricia Trindade, Greice Silveira, and Claudio Almeida
Abstr. Int. Cartogr. Assoc., 6, 130, https://doi.org/10.5194/ica-abs-6-130-2023, https://doi.org/10.5194/ica-abs-6-130-2023, 2023
Emma Bousquet, Arnaud Mialon, Nemesio Rodriguez-Fernandez, Stéphane Mermoz, and Yann Kerr
Biogeosciences, 19, 3317–3336, https://doi.org/10.5194/bg-19-3317-2022, https://doi.org/10.5194/bg-19-3317-2022, 2022
Short summary
Short summary
Pre- and post-fire values of four climate variables and four vegetation variables were analysed at the global scale, in order to observe (i) the general fire likelihood factors and (ii) the vegetation recovery trends over various biomes. The main result of this study is that L-band vegetation optical depth (L-VOD) is the most impacted vegetation variable and takes the longest to recover over dense forests. L-VOD could then be useful for post-fire vegetation recovery studies.
C. Almeida, D. Silva, C. G. Messias, L. S. Soler, L. H. Gusmão, L. E. P. Maurano, T. Souza, I. Soares, D. Barradas, I. P. Cunha, E. Bastos, A. Belluzo, C. Quadros, B. Pechini, F. Pinheiro, and L. J. Silva
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1341–1348, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1341-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1341-2022, 2022
J. A. C. Martinez, M. X. O. Adarme, J. N. Turnes, G. A. O. P. Costa, C. A. De Almeida, and R. Q. Feitosa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 665–671, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-665-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-665-2022, 2022
Guillaume Marie, B. Sebastiaan Luyssaert, Cecile Dardel, Thuy Le Toan, Alexandre Bouvet, Stéphane Mermoz, Ludovic Villard, Vladislav Bastrikov, and Philippe Peylin
Geosci. Model Dev., 15, 2599–2617, https://doi.org/10.5194/gmd-15-2599-2022, https://doi.org/10.5194/gmd-15-2599-2022, 2022
Short summary
Short summary
Most Earth system models make use of vegetation maps to initialize a simulation at global scale. Satellite-based biomass map estimates for Africa were used to estimate cover fractions for the 15 land cover classes. This study successfully demonstrates that satellite-based biomass maps can be used to better constrain vegetation maps. Applying this approach at the global scale would increase confidence in assessments of present-day biomass stocks.
L. S. Soler, D. E. Silva, C. Messias, T. C. Lima, B. M. P. Bento, J. J. de Souza, J. Doblas, D. Moraes, and C. Almeida
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 843–849, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-843-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-843-2021, 2021
C. A. Almeida, D. M. Valeriano, L. Maurano, L. Vinhas, L. M. G. Fonseca, D. Silva, C. P. F. Santos, F. S. R. V. Martins, F. C. B. Lara, J. S. Maia, E. R. Profeta, L. O. Santos, F. C. O. Santos, and V. Ribeiro
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 47–52, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-47-2020, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-47-2020, 2020
J. Doblas, A. Carneiro, Y. Shimabukuro, S. Sant’Anna, and L. Aragão
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 493–498, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-493-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-493-2020, 2020
P. J. Soto, G. A. O. P. Costa, R. Q. Feitosa, P. N. Happ, M. X. Ortega, J. Noa, C. A. Almeida, and C. Heipke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1635–1643, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1635-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1635-2020, 2020
A. F. Carneiro, W. V. Oliveira, S. J. S. Sant'Anna, J. Doblas, and D. V. Vaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 259–265, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-259-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-259-2020, 2020
J. Doblas, A. Carneiro, Y. Shimabukuro, S. Sant’Anna, L. Aragão, and F. R. S. Pereira
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 89–96, https://doi.org/10.5194/isprs-annals-V-3-2020-89-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-89-2020, 2020
C. D. Girolamo-Neto, L. Y. Sato, I. D. Sanches, I. C. O. Silva, J. C. S. Rocha, and C. A. Almeida
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 453–460, https://doi.org/10.5194/isprs-annals-V-3-2020-453-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-453-2020, 2020
S. Ferrant, A. Selles, M. Le Page, A. AlBitar, S. Mermoz, S. Gascoin, A. Bouvet, S. Ahmed, and Y. Kerr
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 285–292, https://doi.org/10.5194/isprs-archives-XLII-3-W6-285-2019, https://doi.org/10.5194/isprs-archives-XLII-3-W6-285-2019, 2019
Nemesio J. Rodríguez-Fernández, Arnaud Mialon, Stephane Mermoz, Alexandre Bouvet, Philippe Richaume, Ahmad Al Bitar, Amen Al-Yaari, Martin Brandt, Thomas Kaminski, Thuy Le Toan, Yann H. Kerr, and Jean-Pierre Wigneron
Biogeosciences, 15, 4627–4645, https://doi.org/10.5194/bg-15-4627-2018, https://doi.org/10.5194/bg-15-4627-2018, 2018
Short summary
Short summary
Existing global scale above-ground biomass (AGB) maps are made at very high spatial resolution collecting data during several years. In this paper we discuss the use of a new data set from the SMOS satellite: the vegetation optical depth estimated from low microwave frequencies. It is shown that this new data set is highly sensitive to AGB. The spacial resolution of SMOS is coarse (40 km) but the new data set can be used to monitor AGB variations with time due to its high revisit frequency.
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org