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Herve B. Kashongwe
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Year
The impact of geolocation uncertainty on GEDI tropical forest canopy height estimation and change monitoring
DP Roy, HB Kashongwe, J Armston
Science of Remote Sensing 4, 100024, 2021
632021
Will land use land cover change drive atmospheric conditions to become more conducive to wildfires in the United States?
S Zhong, T Wang, P Sciusco, M Shen, L Pei, J Nikolic, K McKeehan, ...
International Journal of Climatology 41 (6), 3578-3597, 2021
92021
Democratic Republic of the Congo tropical Forest canopy height and aboveground biomass estimation with Landsat-8 operational land imager (OLI) and airborne LiDAR data: the …
HB Kashongwe, DP Roy, JRB Bwangoy
Remote Sensing 12 (9), 1360, 2020
92020
The impact of geolocation uncertainty on GEDI tropical forest canopy height estimation and change monitoring. Science of Remote Sensing 4, 100024
DP Roy, HB Kashongwe, J Armston
62021
Examination of the amount of GEDI data required to characterize central Africa tropical forest aboveground biomass at REDD+ project scale in Mai Ndombe province
HB Kashongwe, DP Roy, DL Skole
Science of Remote Sensing 7, 100091, 2023
12023
Remote Sensing Assessment of Tropical Forest Canopy Height, Aboveground Biomass, and Regrowth in Mai Ndombe Province, Democratic Republic of the Congo
H Kashongwe
Michigan State University, 2023
12023
An Examination of the Amount of GEDI Data Required to Reliably Characterize Central Africa Tropical Forest Aboveground Biomass at REDD+ Project Scale
H Kashongwe, D Roy, DL Skole
AGU Fall Meeting Abstracts 2022, GC42E-0762, 2022
2022
Tropical Forest Canopy Height and Aboveground Biomass Estimation Using Airborne Lidar and Landsat-8 Data, a Sensitivity Study with Respect to Landsat-8 Data Temporal …
HB Kashongwe
South Dakota State University, 2019
2019
Science of Remote Sensing
HB Kashongwe, DP Roy, DL Skole
Science of Remote Sensing
DP Roy, HB Kashongwe, J Armston
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