Influence of resolution in irrigated area mapping and area estimation

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 (...

Descripción completa

Detalles Bibliográficos
Autores principales: Velpuri, Naga Manohar, Thenkabail, Prasad S., Gumma, Murali K., Biradar, Chandrashekhar M., Dheeravath, Venkateswarlu, Noojipady, P., Yuanjie, L.
Formato: Journal Article
Lenguaje:Inglés
Publicado: 2009
Materias:
Acceso en línea:https://hdl.handle.net/10568/40675
_version_ 1855522546049351680
author Velpuri, Naga Manohar
Thenkabail, Prasad S.
Gumma, Murali K.
Biradar, Chandrashekhar M.
Dheeravath, Venkateswarlu
Noojipady, P.
Yuanjie, L.
author_browse Biradar, Chandrashekhar M.
Dheeravath, Venkateswarlu
Gumma, Murali K.
Noojipady, P.
Thenkabail, Prasad S.
Velpuri, Naga Manohar
Yuanjie, L.
author_facet Velpuri, Naga Manohar
Thenkabail, Prasad S.
Gumma, Murali K.
Biradar, Chandrashekhar M.
Dheeravath, Venkateswarlu
Noojipady, P.
Yuanjie, L.
author_sort Velpuri, Naga Manohar
collection Repository of Agricultural Research Outputs (CGSpace)
description 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).
format Journal Article
id CGSpace40675
institution CGIAR Consortium
language Inglés
publishDate 2009
publishDateRange 2009
publishDateSort 2009
record_format dspace
spelling CGSpace406752024-01-17T12:58:34Z Influence of resolution in irrigated area mapping and area estimation Velpuri, Naga Manohar Thenkabail, Prasad S. Gumma, Murali K. Biradar, Chandrashekhar M. Dheeravath, Venkateswarlu Noojipady, P. Yuanjie, L. remote sensing satellite surveys mapping irrigated sites estimation river basins surface irrigation groundwater irrigation conjunctive use 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). 2009 2014-06-13T14:48:10Z 2014-06-13T14:48:10Z Journal Article https://hdl.handle.net/10568/40675 en Limited Access 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.
spellingShingle remote sensing
satellite surveys
mapping
irrigated sites
estimation
river basins
surface irrigation
groundwater irrigation
conjunctive use
Velpuri, Naga Manohar
Thenkabail, Prasad S.
Gumma, Murali K.
Biradar, Chandrashekhar M.
Dheeravath, Venkateswarlu
Noojipady, P.
Yuanjie, L.
Influence of resolution in irrigated area mapping and area estimation
title Influence of resolution in irrigated area mapping and area estimation
title_full Influence of resolution in irrigated area mapping and area estimation
title_fullStr Influence of resolution in irrigated area mapping and area estimation
title_full_unstemmed Influence of resolution in irrigated area mapping and area estimation
title_short Influence of resolution in irrigated area mapping and area estimation
title_sort influence of resolution in irrigated area mapping and area estimation
topic remote sensing
satellite surveys
mapping
irrigated sites
estimation
river basins
surface irrigation
groundwater irrigation
conjunctive use
url https://hdl.handle.net/10568/40675
work_keys_str_mv AT velpurinagamanohar influenceofresolutioninirrigatedareamappingandareaestimation
AT thenkabailprasads influenceofresolutioninirrigatedareamappingandareaestimation
AT gummamuralik influenceofresolutioninirrigatedareamappingandareaestimation
AT biradarchandrashekharm influenceofresolutioninirrigatedareamappingandareaestimation
AT dheeravathvenkateswarlu influenceofresolutioninirrigatedareamappingandareaestimation
AT noojipadyp influenceofresolutioninirrigatedareamappingandareaestimation
AT yuanjiel influenceofresolutioninirrigatedareamappingandareaestimation