Prasad S. Thenkabail

Elizabeth M. Middleton, Karl Fred Huemmrich, Prasad S. Thenkabail, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Review of Machine Learning Approaches forBiomass and Soil Moisture Retrievals fromRemote Sensing Data

Maxim Neumann, Claudia Notarnicola, Jelena Stamenkovic, 2015 .

Mapping Irrigated Areas of Ghana Using Fusion of 30 m and 250 m Resolution Remote-Sensing Data

Prasad S. Thenkabail, Andrew Nelson, Muralikrishna Gumma, 2011, Remote. Sens..

Global Land Cover Mapping: A Review and Uncertainty Analysis

Russell G. Congalton, Prasad S. Thenkabail, Kamini Yadav, 2014, Remote. Sens..

Remote Sensing Open Access Journal of MDPI: Current Progress and Future Vision

Prasad S. Thenkabail, P. Thenkabail, 2020, Remote. Sens..

A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing

Yuanjie Li, Xiangming Xiao, Prasad S. Thenkabail, 2009, Int. J. Appl. Earth Obs. Geoinformation.

Spatial models for selecting the most suitable areas of rice cultivation in the Inland Valley Wetlands of Ghana using remote sensing and geographic information systems

Regassa E. Namara, Prasad S. Thenkabail, Murali Krishna Gumma, 2009 .

Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm

Rick Mueller, James P. Verdin, Prasad S. Thenkabail, 2014 .

Erratum: Bircher, S.; et al. L-Band Relative Permittivity of Organic Soil Surface Layers - A New Dataset of Resonant Cavity Measurements and Model Evaluation. Remote Sens. 2016, 8, 1024

Prasad S. Thenkabail, 2017, Remote. Sens..

Developing in situ Non-Destructive Estimates of Crop Biomass to Address Issues of Scale in Remote Sensing

Michael Marshall, Prasad S. Thenkabail, P. Thenkabail, 2015, Remote. Sens..

Erratum: Kromer, R.A.; et al. A 4D Filtering and Calibration Technique for Small-Scale Point Cloud Change Detection with a Terrestrial Laser Scanner. Remote Sensing 2015, 7, 13029-13052

Prasad S. Thenkabail, 2015, Remote. Sens..

Remote Sensing Open Access Journal: Leading a New Paradigm in Publishing

Prasad S. Thenkabail, 2011, Remote. Sens..

Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics

Yuanjie Li, Prasad S. Thenkabail, Muralikrishna Gumma, 2009, Remote. Sens..

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 Cloud

Russell G. Congalton, Jun Xiong, Prasad S. Thenkabail, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Spaceborne Hyperspectral EO-1 Hyperion Data Pre-Processing

Alfredo Huete, John G. Lyon, Prasad S. Thenkabail, 2018, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation.

The spatial data and knowledge gateways at the International Water Management Institute (IWMI)

Prasad S. Thenkabail, Jagath Vithanage, Chandrashekhar M. Biradar, 2006, Geoinformatics.

A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades

Prasad S. Thenkabail, Daniel J. Foley, A Oliphant, 2020, Int. J. Digit. Earth.

CropRef: Reference Datasets and techniques to improve global cropland mapping

Russell G. Congalton, Prasad S. Thenkabail, Kamini Yadav, 2017 .

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 Revolution

Prasad S. Thenkabail, P. Thenkabail, 2010, Remote. Sens..

Remote Sensing Best Paper Award for the Year 2015

Prasad S. Thenkabail, 2015, Remote. Sens..

Remote Sensing Open Access Journal: Increasing Impact through Quality Publications

Prasad S. Thenkabail, 2014, Remote. Sens..

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

Prasad S. Thenkabail, Itiya Aneece, P. Thenkabail, 2018, Remote. Sens..

Improving Water Productivity for Agriculture - Predicting and Preventing Crisis in Irrigated Water Use in a Changing Climate

Prasad S. Thenkabail, P. Thenkabail, 2011, 2011 IEEE Global Humanitarian Technology Conference.

Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine Learning on the Cloud

Prasad S. Thenkabail, Itiya Aneece, P. Thenkabail, 2021, Remote. Sens..

DESIS and PRISMA: A study of a new generation of spaceborne hyperspectral sensors in the study of world crops

Prasad S. Thenkabail, Itiya P. Aneece, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Optimal hyperspectral narrowbands for discriminating agricultural crops

Prasad S. Thenkabail, P. Thenkabail, 2001 .

Hyperspectral narrowband and multispectral broadband indices for remote sensing of crop evapotranspiration and its components (transpiration and soil evaporation)

Prasad S. Thenkabail, Trent W. Biggs, Michael Marshall, 2016 .

Land Resources Monitoring, Modeling, and Mapping with Remote Sensing

Prasad S. Thenkabail, P. Thenkabail, 2015 .

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Alfredo Huete, Prasad S. Thenkabail, John G. Lyon, 2018 .

Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud

Prasad S. Thenkabail, Chandra Giri, Murali Krishna Gumma, 2019, GIScience & Remote Sensing.

Spectral and Spatial Methods of Hyperspectral Image Analysis for Estimation of Biophysical and Biochemical Properties of Agricultural Crops

Prasad S. Thenkabail, John G. Lyon, J. G. Lyon, 2016 .

Regional characterization of inland valley agroecosystems in West and Central Africa using high-resolution remotely sensed data.

Prasad S. Thenkabail, John G. Lyon, J. G. Lyon, 2003 .

Features of River Flow in Inland Valleys in Semi-Deciduous Forest Zone in Ghana

Regassa E. Namara, Prasad S. Thenkabail, Wasantha Kulawardhana, 2009 .

Nondestructive Estimation of Foliar Pigment (Chlorophylls, Carotenoids, and Anthocyanins) Contents: Evaluating a Semianalytical Three-Band Model

Prasad S. Thenkabail, John G. Lyon, J. G. Lyon, 2016 .

Remote Sensing of Global Croplands for Food Security

Prasad S. Thenkabail, John G. Lyon, Hugh Turral, 2009 .

Spectral Bioindicators of Photosynthetic Efciency and Vegetation Stress

Prasad S. Thenkabail, John G. Lyon, J. G. Lyon, 2016 .

Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Validation 30 m V001

Russell G. Congalton, Prasad S. Thenkabail, Kamini Yadav, 2017 .

Remote Sensing Estimation of Crop Biophysical Characteristics at Various Scales

Prasad S. Thenkabail, John G. Lyon, 2016 .

Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine

Russell G. Congalton, Prasad S. Thenkabail, Noel Gorelick, 2020 .

Influence of Resolution in Irrigated Area Mapping and Area Estimation

Prasad S. Thenkabail, Chandrashekhar M. Biradar, Venkateswarlu Dheeravath, 2009 .

A Global Irrigated Area Map (GIAM) using remote sensing at the end of the last millennium

Prasad S. Thenkabail, Mitchell A. Schull, Jagath Vithanage, 2008 .

Fifty-Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation—Summary, Insights, and Highlights of Volume I

Alfredo Huete, Prasad S. Thenkabail, John G. Lyon, 2018, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation.

Fast Segmentation and Classification of Very High Resolution Remote Sensing Data Using SLIC Superpixels

Prasad S. Thenkabail, P. Thenkabail, 2017 .

Handbook of Remote Sensing, Global Food Security Support Analysis Data at Nominal 1 km (GFSAD1km) Derived from Remote Sensing in Support of Food Security in the Twenty-First Century: Current Achievements and Future Possibilities

Prasad S. Thenkabail, Murali K. Gumma, Chandra Giri, 2015 .

Water Productivity Mapping (WPM) Using Landsat ETM+ Data for the Irrigated Croplands of the Syrdarya River Basin in Central Asia

Yafit Cohen, Eyal Ben-Dor, Victor Alchanatis, 2008, Sensors.

Crop Dominance Mapping with IRS-P6 and MODIS 250-m Time Series Data

Prasad S. Thenkabail, Irshad A. Mohammed, Murali Krishna Gumma, 2014 .

Biophysical and yield information for precision farming from near-real-time and historical Landsat TM images

Prasad S. Thenkabail, P. Thenkabail, 2003 .

Mapping Irrigated Areas Using MODIS 250 Meter Time-Series Data: A Study on Krishna River Basin (India)

Prasad S. Thenkabail, Andrew Nelson, Murali Krishna Gumma, 2011 .

Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data

Prasad S. Thenkabail, Mitchell A. Schull, Hugh Turral, 2005 .

NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security Support Analysis Data (GFSAD) Crop Dominance 2010 Global 1 km V001

Cristina Milesi, Russell G. Congalton, James C. Tilton, 2016 .

Remote sensing of global croplands for food security: Way forward: Chapter 20

Prasad S. Thenkabail, John G. Lyon, 2009 .

Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010

Prasad S. Thenkabail, Andrew Nelson, Saidul Islam, 2014 .

Hyperspectral Remote Sensing for Terrestrial Applications

Prasad S. Thenkabail, Murali Krishna Gumma, P Teluguntla, 2015 .

Estimation of Nitrogen Content in Crops and Pastures Using Hyperspectral Vegetation Indices

Prasad S. Thenkabail, John G. Lyon, J. G. Lyon, 2016 .

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation Hyperspectral Remote Sensing of Vegetation

Alfredo Huete, Prasad S. Thenkabail, John G. Lyon, 2019 .

Hyperspectral Data Mining

Prasad S. Thenkabail, John G. Lyon, J. G. Lyon, 2016 .

UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas

Uwe Rascher, Pablo J. Zarco-Tejada, Georg Bareth, 2014 .

Inter-sensor relationships between IKONOS and Landsat-7 ETM+ NDVI data in three ecoregions of Africa

Prasad S. Thenkabail, P. Thenkabail, 2004 .

Establishing the best spectral bands and timing of imagery for land use – land cover (LULC) class separability using Landsat ETM+ and Terra MODIS data

Prasad S. Thenkabail, Jagath Vithanage, Chandrashekhar M. Biradar, 2007 .

MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types

Russell G. Congalton, Andrew J. Sánchez Meador, Prasad S. Thenkabail, 2017 .

Water productivity studies from earth observation data: characterization, modeling and mapping water use and water productivity

Janice Freitas Leivas, Prasad S. Thenkabail, Morris Scherer-Warren, 2015 .

Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India)

I. V. Muralikrishna, Prasad S. Thenkabail, Venkateswarlu Dheeravath, 2011 .

LULC and irrigated area mapping in Ganges

Prasad S. Thenkabail, Hugh Turral, Mitch Schull, 2004 .

A GLOBAL MAP OF IRRIGATED AREA AT THE END OF THE LAST MILLENNIUM USING MULTI-SENSOR, TIME-SERIES SATELLITE SENSOR DATA *

Prasad S. Thenkabail, Mitchell A. Schull, Hugh Turral, 2005 .

Seasonal variations in phenology and productivity of a tropical dry deciduous forest from MODIS and Hyperion.

Rama Rao Nidamanuri, Prasad S. Thenkabail, Ankur R. Desai, 2015 .

Global Cropland Area Database (GCAD) derived from Remote Sensing in Support of Food Security in the Twenty-first Century: Current Achievements and Future Possibilities

Cristina Milesi, James C. Tilton, Prasad S. Thenkabail, 2015 .

Automated Cropland Classification Algorithm (ACCA) for California Using Multi-sensor Remote Sensing

James P. Verdin, Prasad S. Thenkabail, Zhuoting Wu, 2014 .

Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies

Prasad S. Thenkabail, John G. Lyon, J. G. Lyon, 2016 .

Spectral Sensing from Ground to Space in Soil Science: State of the Art, Applications, Potential, and Perspectives

Prasad S. Thenkabail, P. Thenkabail, 2018, Remote Sensing Handbook - Three Volume Set.

Evaluation of the Wetland Mapping Methods using Landsat ETM+ and SRTM Data

Prasad S. Thenkabail, Jagath Vithanage, Chandrashekhar M. Biradar, 2008 .

Advances in hyperspectral remote sensing of vegetation and agricultural croplands: Chapter 1

Alfredo Huete, Prasad S. Thenkabail, John G. Lyon, 2011 .

Remote Sensing of Land Resources: Monitoring, Modeling, and Mapping Advances over the Last 50 Years and a Vision for the Future

Prasad S. Thenkabail, 2018, Remote Sensing Handbook - Three Volume Set.

Characterization on Pastures Using Field and Imaging Spectrometers

Prasad S. Thenkabail, John G. Lyon, J. G. Lyon, 2016 .

Landsat-5 Thematic Mapper models of soybean and corn crop characteristics

Prasad S. Thenkabail, A. D. Ward, J. G. Lyon, 1994 .

Tracking Fallow Land in California Using USDA's Cropland Data Layer

Rick Mueller, James P. Verdin, Prasad S. Thenkabail, 2013 .

Biomass modeling of four water intensiveleading world crops using hyperspectral narrowbands in support of HyspIRI Mission

Prasad S. Thenkabail, Michael Marshall, P. Thenkabail, 2014 .

Fallow-land Algorithm based on Neighborhood and Temporal Anomalies (FANTA) to map planted versus fallowed croplands using MODIS data to assist in drought studies leading to water and food security assessments

Prasad S. Thenkabail, Jesus R. Rodriguez, P. Thenkabail, 2017 .

Irrigated areas of India derived using MODIS 500 m time series for the years 2001–2003

Prasad S. Thenkabail, Chandrashekhar M. Biradar, Venkateswarlu Dheeravath, 2010 .

Detecting floristic structure and pattern across topographic and moisture gradients in a mixed species Central African forest using IKONOS and Landsat-7 ETM+ images

Prasad S. Thenkabail, Mark S. Ashton, David Harris, 2003 .

NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Southeast Asia 30 m V001

Russell G. Congalton, Prasad S. Thenkabail, Kamini Yadav, 2017 .

Thematic mapper vegetation indices for determining soybean and corn growth parameters

Prasad S. Thenkabail, John G. Lyon, A. D. Ward, 1994 .

Context, need: the need and scope for mapping global irrigated and rain-fed areas: Chapter 1

Prasad S. Thenkabail, John G. Lyon, Hugh Turral, 2009 .

Evaluation of Narrowband and Broadband Vegetation Indices for Determining Optimal Hyperspectral Wavebands for Agricultural Crop Characterization

Prasad S. Thenkabail, P. Thenkabail, 2002 .

Monitoring of Evapotranspiration in a Semi-Arid Inland River Basin by Combining Microwave and Optical Remote Sensing Observations

Prasad S. Thenkabail, P. Thenkabail, L. Jia, 2015, Remote. Sens..

Global Croplands and Their Water Use from Remote Sensing and Nonremote Sensing Perspectives

Prasad S. Thenkabail, Munir A. Hanjra, Venkateswarlu Dheeravath, 2011 .

Mapping Croplands of Southeast Asia, Japan, and North and South Korea using Landsat 30-m time-series, random forest algorithm

Russell G. Congalton, Prasad S. Thenkabail, Kamini Yadav, 2017 .

Estimating the surface temperature of Lake Malawi using AVHRR and MODIS satellite imagery

Marvin E. Bauer, Prasad S. Thenkabail, Geoffrey Chavula, 2009 .