|Hyperspectral vegetation indices and their relationships with agricultural crop characteristics|
PS Thenkabail, RB Smith, E De Pauw
Remote sensing of Environment 71 (2), 158-182, 2000
|Free access to Landsat imagery.|
CE Woodcock, R Allen, M Anderson, A Belward, R Bindschadler, ...
SCIENCE VOL 320: 1011, 2008
|Hyperspectral remote sensing of vegetation|
PS Thenkabail, JG Lyon
CRC press, 2016
|Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications|
PS Thenkabail, EA Enclona, MS Ashton, B Van Der Meer
Remote sensing of environment 91 (3-4), 354-376, 2004
|Hyperspectral data processing: algorithm design and analysis|
John Wiley & Sons, 2013
|Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests|
PS Thenkabail, EA Enclona, MS Ashton, C Legg, MJ De Dieu
Remote sensing of environment 90 (1), 23-43, 2004
|Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium|
PS Thenkabail, CM Biradar, P Noojipady, V Dheeravath, Y Li, M Velpuri, ...
International Journal of Remote Sensing 30 (14), 3679-3733, 2009
|Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization|
PS Thenkabail, RB Smith, E De Pauw
Photogrammetric engineering and remote sensing 68 (6), 607-622, 2002
|Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data|
PS Thenkabail, M Schull, H Turral
Remote Sensing of Environment 95 (3), 317-341, 2005
|Remote sensing sensors and applications in environmental resources mapping and modelling|
AM Melesse, Q Weng, PS Thenkabail, GB Senay
Sensors 7 (12), 3209-3241, 2007
|Automated cropland mapping of continental Africa using Google Earth Engine cloud computing|
J Xiong, PS Thenkabail, MK Gumma, P Teluguntla, J Poehnelt, ...
ISPRS Journal of Photogrammetry and Remote Sensing 126, 225-244, 2017
|Global land cover mapping: A review and uncertainty analysis|
RG Congalton, J Gu, K Yadav, P Thenkabail, M Ozdogan
Remote Sensing 6 (12), 12070-12093, 2014
|A support vector machine to identify irrigated crop types using time-series Landsat NDVI data|
B Zheng, SW Myint, PS Thenkabail, RM Aggarwal
International Journal of Applied Earth Observation and Geoinformation 34 …, 2015
|The use of remote sensing data for drought assessment and monitoring in Southwest Asia|
PS Thenkabail, M Gamage
|Biomass estimations and carbon stock calculations in the oil palm plantations of African derived savannas using IKONOS data|
PS Thenkabail, N Stucky, BW Griscom, MS Ashton, J Diels, ...
International Journal of Remote Sensing 25 (23), 5447-5472, 2004
|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|
J Xiong, PS Thenkabail, JC Tilton, MK Gumma, P Teluguntla, A Oliphant, ...
Remote Sensing 9 (10), 1065, 2017
|A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing|
CM Biradar, PS Thenkabail, P Noojipady, Y Li, V Dheeravath, H Turral, ...
International journal of applied earth observation and geoinformation 11 (2 …, 2009
|Mapping rice areas of South Asia using MODIS multitemporal data|
MK Gumma, A Nelson, PS Thenkabail, AN Singh
Journal of applied remote sensing 5 (1), 053547, 2011
|Selection of hyperspectral narrowbands (HNBs) and composition of hyperspectral twoband vegetation indices (HVIs) for biophysical characterization and discrimination of crop …|
PS Thenkabail, I Mariotto, MK Gumma, EM Middleton, DR Landis, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
|Spectral matching techniques to determine historical land-use/land-cover (LULC) and irrigated areas using time-series 0.1-degree AVHRR pathfinder datasets|
P Thenkabail, P GangadharaRao, T Biggs, M Krishna, H Turral
Photogrammetric Engineering & Remote Sensing 73 (10), 1029-1040, 2007