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authFullName_s : Sassan Saatchi
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Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory

António Ferraz , Sassan Saatchi , Clément Mallet , Stéphane Jacquemoud , Gil Gonçalves , et al.
Remote Sensing, 2016, 8 (8), pp.653. ⟨10.3390/rs8080653⟩
Journal articles hal-02376108v1
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Canopy area of large trees explains aboveground biomass variations across neotropical forest landscapes

Victoria Meyer , Sassan Saatchi , David Clark , Michael Keller , Grégoire Vincent , et al.
Biogeosciences, 2018, 15 (11), pp.3377 - 3390. ⟨10.5194/bg-15-3377-2018⟩
Journal articles hal-01811188v1

Forest degradation and biomass loss along the Chocó region of Colombia

Victoria Meyer , Sassan Saatchi , António Ferraz , Liang Xu , Alvaro Duque , et al.
Carbon Balance and Management, 2019, 14 (1), ⟨10.1186/s13021-019-0117-9⟩
Journal articles hal-02401714v1

Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them

Maxime Réjou-Méchain , Nicolas Barbier , Pierre Couteron , Pierre Ploton , Grégoire Vincent , et al.
Surveys in Geophysics, 2019, 40 (4), pp.881-911. ⟨10.1007/s10712-019-09532-0⟩
Journal articles hal-02189103v1

In Situ Reference Datasets From the TropiSAR and AfriSAR Campaigns in Support of Upcoming Spaceborne Biomass Missions

Nicolas Labrière , Shengli Tao , Jérôme Chave , Klaus Scipal , Thuy Le Toan , et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (10), pp.3617-3627. ⟨10.1109/JSTARS.2018.2851606⟩
Journal articles hal-01932955v1
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A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests

Mélaine Aubry-Kientz , Raphaël Dutrieux , António Ferraz , Sassan Saatchi , Hamid Hamraz , et al.
Remote Sensing, 2019, 11 (9), pp.1086. ⟨10.3390/rs11091086⟩
Journal articles hal-02131202v1
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Linking tropical forest structure from regional-scale airborne lidar data to terrestrial ecosystem models

Marcos Longo , Sassan Saatchi , António Ferraz , Michael Keller , Kevin Bowman , et al.
XXV IUFRO World Congress, 2019, Curitiba, Brazil
Conference papers hal-02948891v1
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The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions

Temilola Fatoyinbo , John Armston , Marc Simard , Sassan Saatchi , Michael Denbina , et al.
Remote Sensing of Environment, 2021, 264, pp.112533. ⟨10.1016/j.rse.2021.112533⟩
Journal articles hal-03283894v1
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A simulation method to infer tree allometry and forest structure from airborne laser scanning and forest inventories

Fabian Jörg Fischer , Fabian Jörg Fischer , Nicolas Labrière , Grégoire Vincent , Bruno Hérault , et al.
Remote Sensing of Environment, 2020, 251, pp.112056. ⟨10.1016/j.rse.2020.112056⟩
Journal articles hal-03005989v1
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Increasing and widespread vulnerability of intact tropical rainforests to repeated droughts

Shengli Tao , Jérôme Chave , Pierre-Louis Frison , Thuy Le Toan , Philippe Ciais , et al.
Proceedings of the National Academy of Sciences of the United States of America, 2022, 119 (37), pp.2116626119. ⟨10.1073/pnas.2116626119⟩
Journal articles hal-03787959v1

Cartographie de la végétation

Gaëlle Viennois , Tariq Stévart , Jean P. Vande Weghe , Sassan Saatchi , Steven Schill , et al.
Jean P. Vande Weghe,; Tariq Stévart. Le delta de l'Ogooué, Agence Nationale des Parcs Nationaux, pp.199-222, 2017, 979-10-94862-01-8
Book sections hal-01614663v1
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Assessing the Predictive Power of Democratic Republic of Congo’s National Spaceborne Biomass Map over Independent Test Samples

Augustin Lamulamu , Pierre Ploton , Luca Birigazzi , Liang Xu , Sassan Saatchi , et al.
Remote Sensing, 2022, 14 (16), pp.4126. ⟨10.3390/rs14164126⟩
Journal articles hal-03811960v1
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Detecting vulnerability of humid tropical forests to multiple stressors

Sassan Saatchi , Marcos Longo , Liang Xu , Yan Yang , Hitofumi Abe , et al.
One Earth, 2021, 4 (7), pp.988-1003. ⟨10.1016/j.oneear.2021.06.002⟩
Journal articles hal-03310532v1
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A global long-term, high-resolution satellite radar backscatter data record (1992-2022+): merging C-band ERS/ASCAT and Ku-band QSCAT

Shengli Tao , Zurui Ao , Jean-Pierre Wigneron , Sassan Saatchi , Philippe Ciais , et al.
Earth System Science Data, 2023, 15 (4), pp.1577-1596. ⟨10.5194/essd-15-1577-2023⟩
Journal articles hal-04095888v1
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Impacts of Degradation on Water, Energy, and Carbon Cycling of the Amazon Tropical Forests

Marcos Longo , Sassan Saatchi , Michael Keller , Kevin Bowman , António Ferraz , et al.
Journal of Geophysical Research: Biogeosciences, 2020, 125 (8), ⟨10.1029/2020jg005677⟩
Journal articles hal-02948755v1

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Laura Duncanson , James Kellner , John Armston , Ralph Dubayah , David Minor , et al.
Remote Sensing of Environment, 2022, 270, pp.112845. ⟨10.1016/j.rse.2021.112845⟩
Journal articles hal-03516285v1

Carbon storage potential in degraded forests of Kalimantan, Indonesia

António Ferraz , Sassan Saatchi , Liang Xu , Stephen Hagen , Jérôme Chave , et al.
Environmental Research Letters, 2018, 13 (9), pp.095001. ⟨10.1088/1748-9326/aad782⟩
Journal articles hal-02403113v1

Satellite-observed pantropical carbon dynamics

Lei Fan , Jean-Pierre Wigneron , Philippe Ciais , Jérôme Chave , Martin Brandt , et al.
Nature Plants, 2019, 5 (9), pp.944-951. ⟨10.1038/s41477-019-0478-9⟩
Journal articles hal-02403129v1
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Ground Data are Essential for Biomass Remote Sensing Missions

Jérôme Chave , Stuart Davies , Oliver Phillips , Simon Lewis , Plinio Sist , et al.
Surveys in Geophysics, 2019, 40 (4), pp.863-880. ⟨10.1007/s10712-019-09528-w⟩
Journal articles hal-02403077v1