|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 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform|
P Teluguntla, PS Thenkabail, A Oliphant, J Xiong, MK Gumma, ...
ISPRS Journal of Photogrammetry and Remote Sensing 144, 325-340, 2018
|Extraction of lignocellulose and synthesis of porous silica nanoparticles from rice husks: a comprehensive utilization of rice husk biomass|
H Chen, W Wang, JC Martin, AJ Oliphant, PA Doerr, JF Xu, KM DeBorn, ...
ACS Sustainable Chemistry & Engineering 1 (2), 254-259, 2013
|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|
AJ Oliphant, PS Thenkabail, P Teluguntla, J Xiong, MK Gumma, ...
International Journal of Applied Earth Observation and Geoinformation 81 …, 2019
|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 …|
MK Gumma, PS Thenkabail, PG Teluguntla, A Oliphant, J Xiong, C Giri, ...
GIScience & Remote Sensing 57 (3), 302-322, 2020
|Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data|
P Teluguntla, PS Thenkabail, J Xiong, MK Gumma, RG Congalton, ...
International Journal of Digital Earth 10 (9), 944-977, 2017
|Reconstructing disturbance history for an intensively mined region by time-series analysis of Landsat imagery|
J Li, CE Zipper, PF Donovan, RH Wynne, AJ Oliphant
Environmental monitoring and assessment 187 (9), 1-17, 2015
|NASA Making Earth System Data Records for Use in Research Environments (MEASURES) Global Food Security-Support Analysis Data (GFSAD) Cropland Extent 2015 South Asia …|
MK Gumma, PS Thenkabail, P Teluguntla, A Oliphant, J Xiong, ...
NASA EOSDIS Land Processes DAAC, 2017
|Autumn olive (Elaeagnus umbellata) presence and proliferation on former surface coal mines in Eastern USA|
AJ Oliphant, RH Wynne, CE Zipper, WM Ford, PF Donovan, J Li
Biological Invasions 19 (1), 179-195, 2017
|Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system|
MK Gumma, PS Thenkabail, KC Deevi, IA Mohammed, P Teluguntla, ...
GIScience & Remote Sensing 55 (6), 926-949, 2018
|A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades|
DJ Foley, PS Thenkabail, IP Aneece, PG Teluguntla, AJ Oliphant
International Journal of Digital Earth 13 (8), 939-975, 2020
|Character analysis of mining disturbance and reclamation trajectory in surface coal-mine area by time-series NDVI|
J Li, C Zipper, S Li, P Donovan, R Wynne, A Oliphant, Q Xia
Transactions of the Chinese Society of Agricultural Engineering 31 (16), 251-257, 2015
|Nongye gongcheng xuebao|
J Li, CE Zipper, S Li, PF Donovan, R Wynne, A Oliphant, Q Xia
Transactions of the Chinese Society of Agricultural Engineering 31, 251-257, 2015
|Synthesis and colour prediction of stable pigments from rice husk biomass|
Z Wang, H Chen, L Xu, SQ Xu, CF Gao, AJ Oliphant, J Liu, Y Lu, W Wang, ...
Green Materials 3 (1), 10-14, 2015
|NASA MEaSUREs Global Food Security-Support Analysis Data (GFSAD) Crop Mask 2010 Global 1 km V001|
PS Thenkabail, P Teluguntla, J Xiong, A Oliphant, R Massey
NASA EOSDIS Land Processes DAAC, 2016
|Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on …|
PS Thenkabail, PG Teluguntla, J Xiong, A Oliphant, RG Congalton, ...
Professional Paper, 2021
|IDENTIFYING WOODY VEGETATION ON COAL SURFACE MINES USING PHENOLOGICAL INDICATORS WITH MULTITEMPORAL LANDSAT IMAGERY.|
AJ Oliphant, J Li, RH Wynne, PF Donovan, CE Zipper
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2014
|Mining disturbances in Virginia's southwestern coalfield, 1984-2011|
J Li, PF Donovan, CE Zipper, RH Wynne, AJ Oliphant
|Hyperspectral narrowband data propel gigantic leap in the earth remote sensing|
PS Thenkabail, I Aneece, P Teluguntla, A Oliphant
Photogrammetric Engineering & Remote Sensing 87 (7), 461-467, 2021
|Crop water productivity studies of leading world crops in California utilizing advanced multispectral remote sensing and modeling on the Google Earth Engine (GEE) cloud|
D Foley, P Thenkabail, A Oliphant, I Aneece, P Teluguntla