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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
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
Tsusaka, T W and Velasco, M L and Yamano, T and Pandey, S (2015) Expert Elicitation for Assessing Agricultural Technology Adoption: The Case of Improved Rice Varieties in South Asian Countries. Asian Journal of Agriculture and Development, 12 (01). pp. 19-33. ISSN 1656-4383
Yamano, T and Gumma, M K and Panjala, P and Haq, N U and Fahad, M and Sato, N and Arif, B W and Saeed, U (2024) Applying Spatial Analysis to Assess Crop Damage: A Case Study of the Pakistan 2022 Floods. Working Paper. ADB publications, Philippines.