Items where Subject is "Others > GIS Techniques/Remote Sensing"

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Group by: Creators | CRP | Item Type
Number of items: 17.

CGIAR Research Program on Climate Change, Agriculture and Food Security (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

Gumma, M K and Thenkabail, P S and Teluguntla, P G and Oliphant, A and Xiong, J and Giri, C and Pyla, V and Dixit, S and Whitbread, A M (2019) 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 & Remote Sensing (TSI). pp. 1-21. ISSN 1548-1603

CGIAR Research Program on Global Rice Science Partnership (GRiSP)

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

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

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

Gumma, M K and Thenkabail, P S and Teluguntla, P and Whitbread, A M (2019) Indo-Ganges River Basin Land Use/Land Cover (LULC) and Irrigated Area Mapping. In: Indus River Basin: Water Security and Sustainability. Elsevier Inc, pp. 203-228. ISBN 978-0-12-812782-7

Gumma, M K and Thenkabail, P S and Teluguntla, P G and Oliphant, A and Xiong, J and Giri, C and Pyla, V and Dixit, S and Whitbread, A M (2019) 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 & Remote Sensing (TSI). pp. 1-21. ISSN 1548-1603

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

Oliphant, A J and Thenkabail, P S and Teluguntla, P and Xiong, J and Gumma, M K and Congalton, R G and Yadav, K (2019) 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 (TSI), 81. pp. 110-124. ISSN 03032434

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

Amede, T and Van den Akker, E and Berdel, W and Ketter, C and Tilahun, G and Dejen, A and Legesse, G and Abebe, H and Getnet, M (2019) Flooding events turned into farming opportunities: Innovation transforms livelihoods of pastoralists in Ethiopia, Policy Brief 13. [Policy Briefs]

Anil Kumar, H and Irshad, M A and Whitbread, A M (2019) Estimation of Soil Moisture in Bare Soils of the Northern Dry Zone of the Deccan Plateau, Karnataka, using Sentinel-1 Band C imagery. In: world soils user consultation meeting, 2-3 July 2019, Rome, Italy.

Gumma, M K and Thenkabail, P S and Teluguntla, P and Whitbread, A M (2019) Indo-Ganges River Basin Land Use/Land Cover (LULC) and Irrigated Area Mapping. In: Indus River Basin: Water Security and Sustainability. Elsevier Inc, pp. 203-228. ISBN 978-0-12-812782-7

Gumma, M K and Thenkabail, P S and Teluguntla, P G and Oliphant, A and Xiong, J and Giri, C and Pyla, V and Dixit, S and Whitbread, A M (2019) 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 & Remote Sensing (TSI). pp. 1-21. ISSN 1548-1603

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

Irshad Ahmed, M and Anil Kumar, H and Laminou, S and Mohammed, I A and Bado, B V and Fatondji, D and Whitbread, A M (2019) Scaling up Land Restoration Approaches to Reclaim the Hardpans of Niger for Agriculture using Sentinel 2 Imagery. In: world soils user consultation meeting, 2-3 July 2019, Frascati (Rome), Italy. (Submitted)

Mensah, A A and Sarfo, D A and Partey, S T (2019) Assessment of vegetation dynamics using remote sensing and GIS: A case of Bosomtwe Range Forest Reserve, Ghana. The Egyptian Journal of Remote Sensing and Space Science (TSI), 22 (2). pp. 145-154. ISSN 11109823

Oliphant, A J and Thenkabail, P S and Teluguntla, P and Xiong, J and Gumma, M K and Congalton, R G and Yadav, K (2019) 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 (TSI), 81. pp. 110-124. ISSN 03032434

Pinjarla, B and Gumma, M K and Jameeruddin, S and Roy, P S (2019) High resolution Sentinel-2 crop type mapping 2018-2019 A case study in Ahmednagar district. Project Report. ICRISAT.

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