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Methods and Approaches of Irrigated Area Mapping Using Remote Sensing (Paperback)
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Methods and Approaches of Irrigated Area Mapping Using Remote Sensing (Paperback)
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Methods and approaches of mapping irrigated areas at different
resolutions using remote sensing data. Irrigated areas were mapped
using: (a) AVHRR pathfinder 10-km data, (b) MODIS 500-m (c) MODIS
250-m and (d) Landsat 30-m data. The study was conducted in the
Krishna River, India using satellite sensor data for nominal year
2000. The methods analyzing multiple sensors data, time-series and
consisted of image segmentation approaches using SRTM data,
creation of mega-file data cube, spectral matching techniques,
ideal spectra data bank creation, class spectral generation, 2
dimensional brightness-greenness wetness (BGW) plot, space
time-spiral curves, comprehensive protocols for class
identification and labeling, resolving the mixed classes,
calculation of sub-pixel areas (SPAs), and fuzzy classification
accuracy assessments. The class identification protocols involved
matching class spectra with ideal spectra to group classes, use of
extensive ground truth data, innovative use of very high resolution
Google Earth Data, and secondary data. The results clearly showed
that finer the resolution greater was the irrigated areas.
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