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Mapping of groundwater potential zones across Ghana using remote sensing, geographic information systems, and spatial modeling

Environmental monitoring and assessment, 2013-04, Vol.185 (4), p.3561-3579

2013

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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

ISPRS journal of photogrammetry and remote sensing, 2018-10, Vol.144, p.325-340

2018

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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

International journal of applied earth observation and geoinformation, 2019-09, Vol.81, p.110-124

2019

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

ISPRS journal of photogrammetry and remote sensing, 2014-05, Vol.91, p.98-113

2014

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

ISPRS journal of photogrammetry and remote sensing, 2014-05, Vol.91, p.98-113

2014

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Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method

International journal of digital earth, 2024-12, Vol.17 (1)

2024

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Hyperspectral Remote Sensing of Vegetation and Agricultural Crops

Photogrammetric engineering and remote sensing, 2014-08, Vol.80 (8), p.697-709

THENKABAIL, Prasad S

2014

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Sorghum germplasm from West and Central Africa maintained in the ICRISAT genebank: Status, gaps,and diversity

The Crop journal, 2017-12, Vol.5 (6), p.518-532

2017

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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

GIScience and remote sensing, 2020-04, Vol.57 (3), p.302-322

2020

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Temporal changes in rice-growing area and their impact on livelihood over a decade: A case study of Nepal

Agriculture, ecosystems & environment, 2011-08, Vol.142 (3), p.382-392

2011

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Mapping rice areas of South Asia using MODIS multitemporal data

Journal of applied remote sensing, 2011-01, Vol.5 (1), p.53547

Gumma, Murali Krishna

2011

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Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security

GIScience and remote sensing, 2022-12, Vol.59 (1), p.1048-1077

2022

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Urban Sprawl and Adverse Impacts on Agricultural Land: A Case Study on Hyderabad, India

Remote sensing (Basel, Switzerland), 2017-11, Vol.9 (11), p.1136

2017

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Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002

Remote sensing (Basel, Switzerland), 2018-02, Vol.10 (2), p.244

2018

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Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data

Remote sensing (Basel, Switzerland), 2024-08, Vol.16 (15), p.2733

2024

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A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale

International journal of applied earth observation and geoinformation, 2024-02, Vol.126, p.103607, Article 103607

2024

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Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data

International journal of digital earth, 2016-10, Vol.9 (10), p.981-1003

2016

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Impacts of irrigation tank restoration on water bodies and croplands in Telangana State of India using Landsat time series data and machine learning algorithms

Geocarto international, 2023-12, Vol.38 (1)

2023

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Breeding Drought-Tolerant Pearl Millet Using Conventional and Genomic Approaches: Achievements and Prospects

Frontiers in plant science, 2022-04, Vol.13, p.781524

2022

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Impact of land use changes and management practices on groundwater resources in Kolar district, Southern India

Journal of hydrology. Regional studies, 2020-10, Vol.31, p.100732, Article 100732

2020

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Mapping Shrimp Pond Dynamics: A Spatiotemporal Study Using Remote Sensing Data and Machine Learning

AgriEngineering, 2023-09, Vol.5 (3), p.1432-1447

2023

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Role of groundwater in buffering irrigation production against climate variability at the basin scale in South-West India

Agricultural water management, 2012, Vol.103, p.78-87

2012

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A Review of the Available Land Cover and Cropland Maps for South Asia

Agriculture (Basel), 2018-07, Vol.8 (7), p.111

2018

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Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system

GIScience and remote sensing, 2018-11, Vol.55 (6), p.926-949

2018

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Crop Yield Assessment Using Field-Based Data and Crop Models at the Village Level: A Case Study on a Homogeneous Rice Area in Telangana, India

AgriEngineering, 2023-12, Vol.5 (4), p.1909-1924

2023

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Mapping of groundwater potential zones across Ghana using remote sensing, geographic information systems, and spatial modeling

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

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

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

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

Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method

Hyperspectral Remote Sensing of Vegetation and Agricultural Crops

Sorghum germplasm from West and Central Africa maintained in the ICRISAT genebank: Status, gaps,and diversity

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

Temporal changes in rice-growing area and their impact on livelihood over a decade: A case study of Nepal

Mapping rice areas of South Asia using MODIS multitemporal data

Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security

Urban Sprawl and Adverse Impacts on Agricultural Land: A Case Study on Hyderabad, India

Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002

Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data

A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale

Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data

Impacts of irrigation tank restoration on water bodies and croplands in Telangana State of India using Landsat time series data and machine learning algorithms

Breeding Drought-Tolerant Pearl Millet Using Conventional and Genomic Approaches: Achievements and Prospects

Impact of land use changes and management practices on groundwater resources in Kolar district, Southern India

Mapping Shrimp Pond Dynamics: A Spatiotemporal Study Using Remote Sensing Data and Machine Learning

Role of groundwater in buffering irrigation production against climate variability at the basin scale in South-West India

A Review of the Available Land Cover and Cropland Maps for South Asia

Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system

Crop Yield Assessment Using Field-Based Data and Crop Models at the Village Level: A Case Study on a Homogeneous Rice Area in Telangana, India

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