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Xinyuan Li
Xinyuan Li
University of Maryland, College Park
terpmail.umd.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Mapping global forest canopy height through integration of GEDI and Landsat data
P Potapov, X Li, A Hernandez-Serna, A Tyukavina, MC Hansen, ...
Remote Sensing of Environment 253, 112165, 2021
9552021
The global 2000-2020 land cover and land use change dataset derived from the Landsat archive: first results
P Potapov, MC Hansen, A Pickens, A Hernandez-Serna, A Tyukavina, ...
Frontiers in Remote Sensing 3, 856903, 2022
2962022
Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive
S Turubanova, P Potapov, MC Hansen, X Li, A Tyukavina, AH Pickens, ...
Remote Sensing of Environment 298, 113797, 2023
202023
Modeling disturbance intensity in degraded tropical forest landscapes to estimate biomass loss from primary forest degradation from 2001-2023
D Parker, M Hansen, P Potapov, S Turubanova, X Li, AH Pickens, ...
AGU24, 2024
2024
Mapping Woody Vegetation Structure Change in Latin America from 2015 to 2023
R Adzhar, P Potapov, S Turubanova, M Hansen, J Brandt, X Li, M Adami, ...
AGU24, 2024
2024
Defining and Mapping Tropical Dryland Woody Cover: A Comparative Study using Drone Data in Senegal
X Li, M Hansen, P Potapov, H Li, AJ Poulson
AGU24, 2024
2024
Mapping Leaf-longevity Type Using Multi-source Reference Data
X Li, M Hansen, A Lister, P Potapov, A Hernandez-Serna
AGU Fall Meeting Abstracts 2023, B41D-06, 2023
2023
Assessing the Impacts of Global Environmental Change on Progress Towards Malaria Elimination within the Scope of the SDG 3.3
TV Loboda, D Chen, V Shevade, X Li
AGU Fall Meeting Abstracts 2022, GC25C-09, 2022
2022
Tropical Forest Canopy Structure and Change Assessment Using Landsat, GEDI, and Airborne Lidar Data
P Potapov, X Li, A Hernandez-Serna, S Turubanova, A Tyukavina, ...
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 666-669, 2021
2021
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Makaleler 1–9