Tackling high biomass in tropical forests through the BIOMASS mission

Le Toan, Thuy; Villard, Ludovic; Ho Tong Minh, Dinh; Doblas, Juan; Mermoz, Stephane; Ferro-Famil, Laurent; Koleck, Thierry; Bouvet, Alexandre; Planells, Milena; Polidori, Laurent

doi:https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-287-2024

Spatial and temporal variation of water reflectance in an Amazonian estuary: a case study around Tatuoca Island

Matheus Dias de Aviz, Jean-Michel Martinez, and Laurent Polidori

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 29–37, https://doi.org/10.5194/isprs-annals-X-3-2024-29-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-29-2024, 2024

Terrain analysis in forested areas: consequences of using DSM instead of DTM

Carlos Rodrigo Tanajura Caldeira, Mhamad El Hage, and Laurent Polidori

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 45–52, https://doi.org/10.5194/isprs-annals-X-3-2024-45-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-45-2024, 2024

Potential of the upcoming Biomass P-band radar mission for digital terrain modelling beneath dense tropical forests: first accuracy assessment

Mhamad El Hage, Ludovic Villard, Laurent Ferro-Famil, and Laurent Polidori

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 125–130, https://doi.org/10.5194/isprs-annals-X-3-2024-125-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-125-2024, 2024

Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring

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

Above ground biomass dataset from SMOS L band vegetation optical depth and reference maps

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 accepted for ESSD

Short summary

A comprehensive land surface vegetation model for multi-stream data assimilation, D&B v1.0

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

MULTICRITERIA EVALUATION OF THE POTENTIAL OF P-BAND AIRBORNE RADAR DEMS FOR 3D CHARACTERISATION OF HYDROGRAPHY IN TROPICAL FORESTS

L. Polidori, C. R. T. Caldeira, L. dos Reis, N. Eco, and M. El Hage

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 249–254, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-249-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-249-2023, 2023

Monitoring post-fire recovery of various vegetation biomes using multi-wavelength satellite remote sensing

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

Constraining a land cover map with satellite-based aboveground biomass estimates over Africa

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

PROMISING ADVANCES OF AMAZONIAN MONITORING SYSTEMS THROUGHOUT VANGUARD TECHNOLOGY AND SCIENTIFIC KNOWLEDGE

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

ASSESSMENT OF RAINFALL INFLUENCE ON SENTINEL-1 TIME SERIES ON AMAZONIAN TROPICAL FORESTS AIMING DEFORESTATION DETECTION IMPROVEMENT

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

EXPLOITING SENTINEL-1 SAR TIME SERIES TO DETECT GRASSLANDS IN THE NORTHERN BRAZILIAN AMAZON

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

ON LAUSSEDAT’S CONTRIBUTION TO THE EMERGENCE OF PHOTOGRAMMETRY

L. Polidori

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 893–899, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-893-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-893-2020, 2020

STABILIZATION OF SENTINEL-1 SAR TIME-SERIES USING CLIMATE AND FOREST STRUCTURE DATA FOR EARLY TROPICAL DEFORESTATION DETECTION

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

SENTINEL-1&2 FOR NEAR REAL TIME CROPPING PATTERN MONITORING IN DROUGHT PRONE AREAS. APPLICATION TO IRRIGATION WATER NEEDS IN TELANGANA, SOUTH-INDIA

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

An evaluation of SMOS L-band vegetation optical depth (L-VOD) data sets: high sensitivity of L-VOD to above-ground biomass in Africa

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

1D-Var multilayer assimilation of X-band SAR data into a detailed snowpack model

X. V. Phan, L. Ferro-Famil, M. Gay, Y. Durand, M. Dumont, S. Morin, S. Allain, G. D'Urso, and A. Girard

The Cryosphere, 8, 1975–1987, https://doi.org/10.5194/tc-8-1975-2014,https://doi.org/10.5194/tc-8-1975-2014, 2014

Tackling high biomass in tropical forests through the BIOMASS mission

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