Robert E. Griffin
Orcid: 0000-0001-5665-700X
According to our database1,
Robert E. Griffin
authored at least 16 papers
between 2017 and 2024.
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Bibliography
2024
Dense Time Series Generation of Surface Water Extents through Optical-SAR Sensor Fusion and Gap Filling.
Remote. Sens., April, 2024
Rice Yield Monitoring Using Satellite Data and AI for Food Security and Sustainable Landscapes in Myanmar.
Proceedings of the IGARSS 2024, 2024
2023
Remote. Sens., December, 2023
2022
A statistical evaluation of Earth-observation-based composite drought indices for a localized assessment of agricultural drought in Pakistan.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Remote. Sens., 2021
Estimating Forest Stand Height in Savannakhet, Lao PDR Using InSAR and Backscatter Methods with L-Band SAR Data.
Remote. Sens., 2021
Random Forest Classification of Inundation Following Hurricane Florence (2018) via L-Band Synthetic Aperture Radar and Ancillary Datasets.
Remote. Sens., 2021
Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
A LiDAR-optical data fusion approach for identifying and measuring small stream impoundments and dams.
Trans. GIS, 2020
An Assessment of Surface Water Detection Methods for Water Resource Management in the Nigerien Sahel.
Sensors, 2020
Assessment of a Spatially and Temporally Consistent MODIS Derived NDVI Product for Application in Index-Based Drought Insurance.
Remote. Sens., 2020
Statistical characterization of frost zones: Case of tea freeze damage in the Kenyan highlands.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2018
Historical and Operational Monitoring of Surface Sediments in the Lower Mekong Basin Using Landsat and Google Earth Engine Cloud Computing.
Remote. Sens., 2018
Mapping threats to agriculture in East Africa: Performance of MODIS derived LST for frost identification in Kenya's tea plantations.
Int. J. Appl. Earth Obs. Geoinformation, 2018
2017
Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas.
Remote. Sens., 2017