Your search found 2 records
1 Velpuri, N. M.; Thenkabail, P. S.; Gumma, Murali Krishna; Biradar, C.; Dheeravath, V.; Noojipady, P.; Yuanjie, L. 2009. Influence of resolution in irrigated area mapping and area estimation. Photogrammetric Engineering and Remote Sensing, 75(12):1383-1395.
Remote sensing ; Satellite surveys ; Mapping ; Irrigated sites ; Estimation ; River basins ; Surface irrigation ; Groundwater irrigation ; Conjunctive use / India / Krishna River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H043443)
(3.31 MB)
The overarching goal of this paper was to determine how irrigated areas change with resolution (or scale) of imagery. Specific objectives investigated were to (a) map irrigated areas using four distinct spatial resolutions (or scales), (b) determine how irrigated areas change with resolutions, and (c) establish the causes of differences in resolution-based irrigated areas. The study was conducted in the very large Krishna River basin (India), which has a high degree of formal contiguous, and informal fragmented irrigated areas. The irrigated areas were mapped using satellite sensor data at four distinct resolutions: (a) NOAA AVHRR Pathfinder 10,000 m, (b) Terra MODIS 500 m, (c) Terra MODIS 250 m, and (d) Landsat ETM 30 m. The proportion of irrigated areas relative to Landsat 30 m derived irrigated areas (9.36 million hectares for the Krishna basin) were (a) 95 percent using MODIS 250 m, (b) 93 percent using MODIS 500 m, and (c) 86 percent using AVHRR 10,000 m. In this study, it was found that the precise location of the irrigated areas were better established using finer spatial resolution data. A strong relationship (R2 0.74 to 0.95) was observed between irrigated areas determined using various resolutions. This study proved the hypotheses that “the finer the spatial resolution of the sensor used, greater was the irrigated area derived,” since at finer spatial resolutions, fragmented areas are detected better. Accuracies and errors were established consistently for three classes (surface water irrigated, ground water/conjunctive use irrigated, and nonirrigated) across the four resolutions mentioned above. The results showed that the Landsat data provided significantly higher overall accuracies (84 percent) when compared to MODIS 500 m (77 percent), MODIS 250 m (79 percent), and AVHRR 10,000 m (63 percent).
2 Laderach, P.; Merrey, D. J.; Schapendonk, F.; Dhehibi, B.; Ruckstuhl, Sandra; Mapedza, Everisto; Najjar, D.; Dessalegn, B.; Amarnath, Giriraj; Nangia, V.; Al-Zu'bi, Maha; Biradar, C.; Pacillo, G.; Govind, A.; Hakhu, A.; Yigezu, Y. A.; Gupta, T. D.; Madurga-Lopez, I.; Lahham, Nisreen; Cosgrove, B.; Joshi, Deepa; Grosjean, G.; Hugh, B.; Elmahdi, Amgad; Frija, A.; Udalagama, Upandha; Nicol, Alan. 2022. Strengthening climate security in the Middle East and North Africa Region. CGIAR FOCUS Climate Security. 80p. (Position Paper No. 2022/3)
Climate change ; Risk ; Agriculture ; Livelihoods ; Migration ; Food prices ; Transboundary waters ; Water management ; Water security ; Water scarcity ; Financing ; Monitoring ; Governance ; Gender equality ; Women's empowerment ; Capacity development / Middle East / North Africa / Morocco / Iran (Islamic Republic of) / Egypt / Jordan
(Location: IWMI HQ Call no: e-copy only Record No: H051658)
https://cgspace.cgiar.org/bitstream/handle/10568/117616/MENA%20Position%20Paper.pdf?sequence=5&isAllowed=y
https://vlibrary.iwmi.org/pdf/H051658.pdf
https://vlibrary.iwmi.org/pdf/H051658.pdf
(5.27 MB) (5.27 MB)
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