Author Info
Name
Affiliation
Papers
PRASAD S. THENKABAIL
US Geol Survey, Flagstaff, AZ 86001 USA
22
Collaborators
Citations 
PageRank 
63
210
30.03
Referers 
Referees 
References 
785
280
88
Search Limit
100785
Title
Citations
PageRank
Year
New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification00.342022
A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades00.342020
Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud20.412019
10th Anniversary Best Paper Award.00.342019
A Bibliometric Profile of the Published by MDPI between 2009 and 2018.00.342019
Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine.00.342018
Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data.100.662017
Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine.201.092017
Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data.00.342016
Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning170.672015
Developing in situ Non-Destructive Estimates of Crop Biomass to Address Issues of Scale in Remote Sensing30.432015
Global Land Cover Mapping: A Review and Uncertainty Analysis312.052014
Selection of Hyperspectral Narrowbands (HNBs) and Composition of Hyperspectral Twoband Vegetation Indices (HVIs) for Biophysical Characterization and Discrimination of Crop Types Using Field Reflectance and Hyperion/EO-1 Data241.642013
An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data211.422012
Remote Sensing Open Access Journal: Leading a New Paradigm in Publishing00.342011
Improving Water Productivity for Agriculture - Predicting and Preventing Crisis in Irrigated Water Use in a Changing Climate00.342011
Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote-sensing data111.162011
A Holistic View of Global Croplands and Their Water Use for Ensuring Global Food Security in the 21st Century through Advanced Remote Sensing and Non-remote Sensing Approaches142.942010
Global Croplands and their Importance for Water and Food Security in the Twenty-first Century: Towards an Ever Green Revolution that Combines a Second Green Revolution with a Blue Revolution131.232010
Decadal Variations in NDVI and Food Production in India71.322010
Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics113.382009
A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing268.932009