Articles with public access mandates - Kamini YadavLearn more
Available somewhere: 21
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
Mandates: US National Aeronautics and Space Administration
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
Mandates: US National Aeronautics and Space Administration
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
Mandates: US National Aeronautics and Space Administration
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
Mandates: US National Aeronautics and Space Administration
MODIS phenology-derived, multi-year distribution of conterminous US crop types
R Massey, TT Sankey, RG Congalton, K Yadav, PS Thenkabail, ...
Remote Sensing of Environment 198, 490-503, 2017
Mandates: US National Aeronautics and Space Administration, US National Oceanic and …
Mapping croplands of Europe, middle east, russia, and central asia using landsat, random forest, and google earth engine
AR Phalke, M Özdoğan, PS Thenkabail, T Erickson, N Gorelick, K Yadav, ...
ISPRS Journal of Photogrammetry and Remote Sensing 167, 104-122, 2020
Mandates: US National Aeronautics and Space Administration
Global food security support analysis data (GFSAD) at nominal 1 km (GCAD) derived from remote sensing in support of food security in the twenty-first century: Current …
P Teluguntla, PS Thenkabail, J Xiong, MK Gumma, C Giri, C Milesi, ...
CRC Press, 2015
Mandates: US National Aeronautics and Space Administration
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
Mandates: US National Aeronautics and Space Administration
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
Mandates: US National Aeronautics and Space Administration
Integrating cloud-based workflows in continental-scale cropland extent classification
R Massey, TT Sankey, K Yadav, RG Congalton, JC Tilton
Remote Sensing of Environment 219, 162-179, 2018
Mandates: US National Aeronautics and Space Administration
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
Mandates: US National Aeronautics and Space Administration
Accuracy assessment of global food security-support analysis data (GFSAD) cropland extent maps produced at three different spatial resolutions
K Yadav, RG Congalton
Remote Sensing 10 (11), 1800, 2018
Mandates: US National Aeronautics and Space Administration, US Department of Agriculture
Issues with large area thematic accuracy assessment for mapping cropland extent: a tale of three continents
K Yadav, RG Congalton
Remote Sensing 10 (1), 53, 2017
Mandates: US National Aeronautics and Space Administration, US Department of Agriculture
Post‐socialist cropland changes and abandonment in Mongolia
TT Sankey, R Massey, K Yadav, RG Congalton, JC Tilton
Land Degradation & Development 29 (9), 2808-2821, 2018
Mandates: US National Aeronautics and Space Administration
Emerging themes and future directions of multi-sector nexus research and implementation
Z Khan, E Abraham, S Aggarwal, M Ahmad Khan, R Arguello, ...
Frontiers in Environmental Science 10, 918085, 2022
Mandates: US National Science Foundation, US Department of Energy
An integrated food, energy, and water nexus, human well-being, and resilience (FEW-WISE) framework: New Mexico
K Yadav, HME Geli, AF Cibils, M Hayes, A Fernald, J Peach, ...
Frontiers in Environmental Science 9, 667018, 2021
Mandates: US National Science Foundation
Prediction of crop yield for New Mexico based on climate and remote sensing data for the 1920–2019 period
K Yadav, HME Geli
Land 10 (12), 1389, 2021
Mandates: US National Science Foundation
A cloud-based evaluation of the National land cover database to support New Mexico’s food–energy–water systems
MG Gedefaw, HME Geli, K Yadav, AJ Zaied, Y Finegold, KG Boykin
Remote Sensing 12 (11), 1830, 2020
Mandates: US National Science Foundation
Evaluating Sampling Designs for Assessing the Accuracy of Cropland Extent Maps in Different Cropland Proportion Regions
K Yadav, RG Congalton
Journal of Geography, Environment and Earth Science International 20 (4), 1-20, 2019
Mandates: US National Aeronautics and Space Administration, US Department of Agriculture
Prediction of Crop Yield for New Mexico Based on Climate and Remote Sensing Data for the 1920–2019 Period. Land 2021, 10, 1389
K Yadav, HME Geli
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021
Mandates: US National Science Foundation
Publication and funding information is determined automatically by a computer program