Items where Author is "Gumma, M K"

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Jump to: Asian Development Bank Institute | Bill & Melinda Gates Foundation | Bill & Melinda Gates Foundation (BMGF)-supported Tropical Legumes III project | Bill and Melinda Gates Foundation | CGIAR Research Program on Grain Legumes and Dryland Cereals (GLDC) | CGIAR Research Program on Water, Land and Ecosystems (WLE) | CGIAR Trust Fund | Consultative Group for International Agricultural Research | Government of Japan through the Asian Development Bank (ADB) | Indian Council of Agricultural Research | Institute on the Environment and WRI Land & Carbon Lab | International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). | International Water management Institute | Japanese Society of Promotion of Sciences KAKENHI | Mahalano-bis National Crop Forecasting Centre (MNCFC) | Mahalanobis National Crop Forecast Center | Ministry of Environment, Forest and Climate Change, Govt. of India under The National Adaptation Fund for Climate Change (NAFCC) | NASA MEaSUREs (Making Earth System Data Records for Use in Research Environments) | Open Access funded by Institute of Crop Sciences | Stress-Tolerant Rice for Africa and South Asia” (STRASA), CRP-GRISP and CRP-CCAFS | Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS) | Swiss Agency for Development and Cooperation (SDC), | This research was supported by the CGIAR Research Programme on Dryland systems and Dryland Cereals lead by ICRISAT | This research was supported by the Livelihood and Food Security Trust Fund (LIFT) of the United Nations Office | This research was supported by two CGIAR Research Programs: Dryland Cereals, Grain Legumes and WLE | This work is supported the United States Department of Energy | This work was supported by the United States Agency for International Development. | U.S. Geological Survey

Number of items: 33.

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

Bill & Melinda Gates Foundation

Kadiyala, M D M and Nedumaran, S and Padmanabhan, J and Gumma, M K and Gummadi, S and Srigiri, S R and Robertson, R and Whitbread, A M (2021) Modeling the potential impacts of climate change and adaptation strategies on groundnut production in India. Science of The Total Environment (TSI), 776. pp. 1-11. ISSN 0048-9697

Gumma, M K and Nelson, A and Yamano, T (2019) Mapping drought-induced changes in rice area in India. International Journal of Remote Sensing (TSI), 40. pp. 8146-8173. ISSN 0143-1161

Kumara Charyulu, D and Moses Shyam, D and Kadiyala, M D M and Gumma, M K and Bantilan, M C S and Nedumaran, S and Srinivasa, S (2016) Measuring Sustainable Intensification of Agricultural Productivity in Semi-Arid Tropics (SAT) of India – Case studies Synthesis Report. Technical Report. ICRISAT, Patancheru, Telangana, India.

Bill & Melinda Gates Foundation (BMGF)-supported Tropical Legumes III project

Gumma, M K and Tsusaka, T W and Mohammed, I and Chavula, G and Ganga Rao, N V P R and Okori, P and Ojiewo, C O and Varshney, R K and Siambi, M and Whitbread, A M (2019) Monitoring Changes in the Cultivation of Pigeonpea and Groundnut in Malawi Using Time Series Satellite Imagery for Sustainable Food Systems. Remote Sensing (TSI), 11(12) (1475). pp. 1-23. ISSN 2072-4292

Bill and Melinda Gates Foundation

Gumma, M K and Mohanty, S and Nelson, A and Arnel, R and Irshad Ahmed, M and Das, S R (2015) Remote sensing based change analysis of rice environments in Odisha, India. Journal of Enviroment Management, 148. pp. 31-41. ISSN 0301-4797

Gumma, M K and Thenkabail, P S and Maunahan, A and Islam, S and Nelson, A (2014) 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, 91. pp. 98-113. ISSN 0924-2716

CGIAR Research Program on Grain Legumes and Dryland Cereals (GLDC)

CGIAR Research Program on Water, Land and Ecosystems (WLE)

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

Gumma, M K and Tummala, K and Dixit, S and Collivignarelli, F and Holecz, F and Kolli, R N and Whitbread, A M (2020) Crop type identification and spatial mapping using Sentinel-2 satellite data with focus on field-level information. Geocarto International (TSI). pp. 1-17. ISSN 1010-6049

Gumma, M K and Amede, T and Getnet, M and Pinjarla, B and Pranay, P and Legesse, G and Tilahun, G and Van den Akker, E and Berdel, W and Keller, C and Siambi, M and Whitbread, A M (2020) Assessing potential locations for flood-based farming using satellite imagery: a case study of Afar region, Ethiopia. Renewable Agriculture and Food Systems (TSI). pp. 1-15. ISSN 1742-1705

Consultative Group for International Agricultural Research

Haileslassie, A and Craufurd, P Q and Blummel, M and Gumma, M K and Palanisami, K and Nageswara Rao, V (2013) Drivers and major changes in agricultural production systems in drylands of South Asia: assessing implications for key environmental indicators and research needs. In: 11th International Conference on Dryland Development : “Global Climate Change and its Impact on Food & Energy Security in the Dry lands” , 18-23 March 2013, Beijing, China.

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

Indian Council of Agricultural Research

Thenkabail, P S and Dheeravath, V and Biradar, C M and Gangalakunta, O R P and Noojipady, P and Gurappa, C and Velpuri, M and Gumma, M K and Li, Y (2009) Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics. Remote Sensing , 1 (2). pp. 50-67. ISSN 2072-4292

Institute on the Environment and WRI Land & Carbon Lab

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

International Water management Institute

Velpuri, N M and Thenkabail, P S and Gumma, M K and Biradar, C M and Dheeravath, V and Noojipady, P and Yuanjie, L (2009) Influence of Resolution in Irrigated Area Mapping and Area Estimation. Photogrammetric Engineering & Remote Sensing , 75 (12). pp. 1383-1395. ISSN 0099-1112

Japanese Society of Promotion of Sciences KAKENHI

Mahalano-bis National Crop Forecasting Centre (MNCFC)

Mahalanobis National Crop Forecast Center

Gumma, M K Pilot studies on GP level Rice Crop yield estimation using Technology (Kharif 2020) using Sentinel 1&2 Satellite data. Project Report. ICRISAT. (Submitted)

Ministry of Environment, Forest and Climate Change, Govt. of India under The National Adaptation Fund for Climate Change (NAFCC)

Kadiyala, M D M and Gummadi, S and Irshad, M A and Palanisamy, R and Gumma, M K and Whitbread, A M (2020) Assessment of climate change and vulnerability in Indian state of Telangana for better agricultural planning. Theoretical and Applied Climatology (TSI). ISSN 0177-798X

NASA MEaSUREs (Making Earth System Data Records for Use in Research Environments)

Xiong, J and Thenkabail, P S and Tilton, J and Gumma, M K and Teluguntla, P and Oliphant, A and Congalton, R and Yadav, K and Gorelick, N (2017) 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. Remote Sensing, 9(10) (1065). pp. 1-27. ISSN 2072-4292

Open Access funded by Institute of Crop Sciences

Upadhyaya, H D and Narsimha Reddy, K and Vetriventhan, M and Irshad Ahmed, M and Gumma, M K and Thimma Reddy, M and Singh, S K (2017) Sorghum germplasm from West and Central Africa maintained in the ICRISAT genebank: Status, gaps, and diversity. The Crop Journal, 5 (6). pp. 518-532. ISSN 22145141

Stress-Tolerant Rice for Africa and South Asia” (STRASA), CRP-GRISP and CRP-CCAFS

Gumma, M K and Nelson, A and Yamano, T (2019) Mapping drought-induced changes in rice area in India. International Journal of Remote Sensing (TSI), 40. pp. 8146-8173. ISSN 0143-1161

Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)

Gumma, M K and Mohammad, I and Nedumaran, S and Whitbread, A M and Lagerkvist, C (2017) Urban Sprawl and Adverse Impacts on Agricultural Land: A Case Study on Hyderabad, India. Remote Sensing, 9 (11) (1136). pp. 1-16. ISSN 2072-4292

Swiss Agency for Development and Cooperation (SDC),

This research was supported by the CGIAR Research Programme on Dryland systems and Dryland Cereals lead by ICRISAT

Gumma, M K and Kumara Charyulu, D and Mohammed, I and Varshney, R K and Gaur, P M and Whitbread, A M (2016) Satellite imagery and household survey for tracking chickpea adoption in Andhra Pradesh, India. International Journal of Remote Sensing, 37 (08). pp. 1955-1972. ISSN 1366-5901

This research was supported by the Livelihood and Food Security Trust Fund (LIFT) of the United Nations Office

Feyisa, G L and Palao, L K and Nelson, A and Gumma, M K and Paliwal, A and Win, K T and Nge, K H and Johnson, D E (2020) Characterizing and mapping cropping patterns in a complex agro-ecosystem: An iterative participatory mapping procedure using machine learning algorithms and MODIS vegetation indices. Computers and Electronics in Agriculture (TSI), 175. pp. 1-11. ISSN 0168-1699

This research was supported by two CGIAR Research Programs: Dryland Cereals, Grain Legumes and WLE

Gumma, M K and Thenkabail, P S and Teluguntla, P and Rao, M N and Mohammed, I A and Whitbread, A M (2016) 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, 09 (10). pp. 981-1003. ISSN 1753-8947

This work is supported the United States Department of Energy

Xu, X and Shrestha, S and Gilani, H and Gumma, M K and Siddiqui, B N and Jain, A K (2020) Dynamics and drivers of land use and land cover changes in Bangladesh. Regional Environmental Change (TSI), 20 (2). pp. 1-11. ISSN 1436-3798

This work was supported by the United States Agency for International Development.

Mwema, C M and Wangari, C and Anitha, S and Muendo, C and Nyaga, Simon and Siambi, M and Gumma, M K and Panjala, P and Kane-Potaka, J (2021) Measuring and Influencing Behavior Change in Dietary Intake: Integrated Photovoice Approach in Nutrition Interventions in Eastern Kenya. Ecology of Food and Nutrition (TSI), 61 (2). pp. 215-234. ISSN 1543-5237

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

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