Browse by ICRISAT Creators

Asian Development Bank Institute

Bellam, P K and Gumma, M K and Panjala, P and Mohammed, I and Suzuki, A (2023) Mapping Shrimp Pond Dynamics: A Spatiotemporal Study Using Remote Sensing Data and Machine Learning. AgriEngineering, 5 (3). pp. 1432-1447. ISSN 2624-7402

CGIAR Trust Fund

Gumma, M K and Desta, G and Amede, T and Panjala, P and Smith, A P and Kassawmar, T and Tummala, K and Zeleke, G and Whitbread, A M (2021) Assessing the impacts of watershed interventions using ground data and remote sensing: a case study in Ethiopia. International Journal of Environmental Science and Technology (TSI). ISSN 1735-1472

Government of Japan through the Asian Development Bank (ADB)

Gumma, M K and Panjala, P and Dubey, S K and Ray, D K and Murthy, C S and Kadiyala, D M and Mohammed, I and Takashi, Y (2024) Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. Remote Sensing(TSI), 16 (15). pp. 1-18. ISSN 2072-4292

Institute on the Environment and WRI Land & Carbon Lab

Gumma, M K and Panjala, P and Dubey, S K and Ray, D K and Murthy, C S and Kadiyala, D M and Mohammed, I and Takashi, Y (2024) Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. Remote Sensing(TSI), 16 (15). pp. 1-18. ISSN 2072-4292

International Crops Research Institute for the Semi-Arid Tropics (ICRISAT).

Gumma, M K and Panjala, P and Teluguntla, P (2024) Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method. International Journal of Digital Earth, 17 (1). pp. 1-18. ISSN 1753-8947

Japanese Society of Promotion of Sciences KAKENHI

Bellam, P K and Gumma, M K and Panjala, P and Mohammed, I and Suzuki, A (2023) Mapping Shrimp Pond Dynamics: A Spatiotemporal Study Using Remote Sensing Data and Machine Learning. AgriEngineering, 5 (3). pp. 1432-1447. ISSN 2624-7402

Mahalano-bis National Crop Forecasting Centre (MNCFC)

Gumma, M K and Panjala, P and Dubey, S K and Ray, D K and Murthy, C S and Kadiyala, D M and Mohammed, I and Takashi, Y (2024) Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. Remote Sensing(TSI), 16 (15). pp. 1-18. ISSN 2072-4292

Tata-Cornell University

Murali Krishna, G and Panjala, P and Ismail, M and Pyla, V (2020) Crop type mapping using high-resolution Sentinel-2 Satellite Data– A case study on Gujarat State. Project Report. ICRISAT.

U.S. Geological Survey

Gumma, M K and Thenkabail, P S and Panjala, P and Teluguntla, P and Yamano, T and Mohammed, I (2022) 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 & Remote Sensing, 59 (1). pp. 1048-1077. ISSN 1943-7226