Robert E. Griffin

Orcid: 0000-0001-5665-700X

According to our database1, Robert E. Griffin authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Spatio-Temporal Dynamics of Total Suspended Sediments in the Belize Coastal Lagoon.
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
UAV LiDAR Survey for Archaeological Documentation in Chiapas, Mexico.
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


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