Estimating Crop Water Use via Remote Sensing Techniques vs. Conventional Methods in the South Platte River Basin, Colorado
We compared two methods of estimating crop water consumption to assess whether remote sensing techniques provide consumptive use (CU) estimates commensurate with conventional methods. Using available historical satellite and meteorological data, we applied Mapping EvapoTranspiration at high Resoluti...
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| Veröffentlicht in: | Journal of the American Water Resources Association 2013-06, Vol.49 (3), p.498-517 |
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| container_title | Journal of the American Water Resources Association |
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| creator | Burkhalter, J. Philip Martin, Timothy C. Allen, Richard G. Kjaersgaard, Jeppe Wilson, Erin Alvarado, Ray Polly, Jason S. |
| description | We compared two methods of estimating crop water consumption to assess whether remote sensing techniques provide consumptive use (CU) estimates commensurate with conventional methods. Using available historical satellite and meteorological data, we applied Mapping EvapoTranspiration at high Resolution using Internalized Calibration (METRIC) to 317,455 ha in the South Platte basin, in northeastern Colorado, for the 2001 irrigation season. We then compared these derived CU estimates with values calculated by using the Colorado Water Conservation Board's South Platte Decision Support System StateCU model. Evaluating the data by irrigation ditch service area, we disaggregated the output to allow for comparison by service area size, crop type, irrigation method, water supply source, and water availability. We concluded that METRIC is a suitable alternative to StateCU in the South Platte basin and could help to identify areas with inhibited crop growth or deficit irrigation practices. In addition, METRIC could be used as a complement to StateCU to refine StateCU model parameters, allowing for more accurate estimates of crop water shortages and groundwater recharge associated with irrigation delivery and application. |
| doi_str_mv | 10.1111/jawr.12051 |
| format | Article |
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Philip ; Martin, Timothy C. ; Allen, Richard G. ; Kjaersgaard, Jeppe ; Wilson, Erin ; Alvarado, Ray ; Polly, Jason S.</creator><creatorcontrib>Burkhalter, J. Philip ; Martin, Timothy C. ; Allen, Richard G. ; Kjaersgaard, Jeppe ; Wilson, Erin ; Alvarado, Ray ; Polly, Jason S.</creatorcontrib><description>We compared two methods of estimating crop water consumption to assess whether remote sensing techniques provide consumptive use (CU) estimates commensurate with conventional methods. Using available historical satellite and meteorological data, we applied Mapping EvapoTranspiration at high Resolution using Internalized Calibration (METRIC) to 317,455 ha in the South Platte basin, in northeastern Colorado, for the 2001 irrigation season. We then compared these derived CU estimates with values calculated by using the Colorado Water Conservation Board's South Platte Decision Support System StateCU model. Evaluating the data by irrigation ditch service area, we disaggregated the output to allow for comparison by service area size, crop type, irrigation method, water supply source, and water availability. We concluded that METRIC is a suitable alternative to StateCU in the South Platte basin and could help to identify areas with inhibited crop growth or deficit irrigation practices. In addition, METRIC could be used as a complement to StateCU to refine StateCU model parameters, allowing for more accurate estimates of crop water shortages and groundwater recharge associated with irrigation delivery and application.</description><identifier>ISSN: 1093-474X</identifier><identifier>EISSN: 1752-1688</identifier><identifier>DOI: 10.1111/jawr.12051</identifier><language>eng</language><publisher>Middleburg: Blackwell Publishing Ltd</publisher><subject>Basins ; Comparative analysis ; consumptive use ; crop water use ; Crops ; Estimates ; Estimating ; Evapotranspiration ; Freshwater ; Irrigation ; Mathematical models ; Remote sensing ; River basins ; Service areas ; Water supply ; water supply evaluation ; water supply planning ; Water use</subject><ispartof>Journal of the American Water Resources Association, 2013-06, Vol.49 (3), p.498-517</ispartof><rights>2013 American Water Resources Association</rights><rights>Copyright Blackwell Publishing Ltd. Jun 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4051-72ad06e4285e8bd1453918e89ea13d51d58faac12af05834dcf595b720ff330b3</citedby><cites>FETCH-LOGICAL-c4051-72ad06e4285e8bd1453918e89ea13d51d58faac12af05834dcf595b720ff330b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjawr.12051$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjawr.12051$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Burkhalter, J. Philip</creatorcontrib><creatorcontrib>Martin, Timothy C.</creatorcontrib><creatorcontrib>Allen, Richard G.</creatorcontrib><creatorcontrib>Kjaersgaard, Jeppe</creatorcontrib><creatorcontrib>Wilson, Erin</creatorcontrib><creatorcontrib>Alvarado, Ray</creatorcontrib><creatorcontrib>Polly, Jason S.</creatorcontrib><title>Estimating Crop Water Use via Remote Sensing Techniques vs. Conventional Methods in the South Platte River Basin, Colorado</title><title>Journal of the American Water Resources Association</title><addtitle>J Am Water Resour Assoc</addtitle><description>We compared two methods of estimating crop water consumption to assess whether remote sensing techniques provide consumptive use (CU) estimates commensurate with conventional methods. Using available historical satellite and meteorological data, we applied Mapping EvapoTranspiration at high Resolution using Internalized Calibration (METRIC) to 317,455 ha in the South Platte basin, in northeastern Colorado, for the 2001 irrigation season. We then compared these derived CU estimates with values calculated by using the Colorado Water Conservation Board's South Platte Decision Support System StateCU model. Evaluating the data by irrigation ditch service area, we disaggregated the output to allow for comparison by service area size, crop type, irrigation method, water supply source, and water availability. We concluded that METRIC is a suitable alternative to StateCU in the South Platte basin and could help to identify areas with inhibited crop growth or deficit irrigation practices. In addition, METRIC could be used as a complement to StateCU to refine StateCU model parameters, allowing for more accurate estimates of crop water shortages and groundwater recharge associated with irrigation delivery and application.</description><subject>Basins</subject><subject>Comparative analysis</subject><subject>consumptive use</subject><subject>crop water use</subject><subject>Crops</subject><subject>Estimates</subject><subject>Estimating</subject><subject>Evapotranspiration</subject><subject>Freshwater</subject><subject>Irrigation</subject><subject>Mathematical models</subject><subject>Remote sensing</subject><subject>River basins</subject><subject>Service areas</subject><subject>Water supply</subject><subject>water supply evaluation</subject><subject>water supply planning</subject><subject>Water use</subject><issn>1093-474X</issn><issn>1752-1688</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkUFP2zAYhqNpk2CMC7_A0i7TtBR_cZzYRyisgLqBCqi7WW7yZXWXxp3tlsGvx6Fshx3AF_vwPK_8fW-SHAAdQDyHC33nBpBRDm-SXSh5lkIhxNv4ppKleZn_2Enee7-gFDgItps8nPpgljqY7icZOrsiUx3QkVuPZGM0meDSBiTX2PmeuMFq3pnfa_Rk4wdkaLsNdsHYTrfkG4a5rT0xHQnzqNh1mJOrVofoT8wmhh7rGPIlWq11urYfkneNbj3uP997ye3X05vhWTq-HJ0Pj8Zplcc50jLTNS0wzwRHMash50yCQCFRA6s51Fw0WleQ6YZywfK6arjkszKjTcMYnbG95NM2d-Vs__WglsZX2La6Q7v2CiRIWbAM8tdRFmO5LHiPfvwPXdi1i4voKRkjOYUiUp-3VOWs9w4btXJx3e5eAVV9Y6pvTD01FmHYwnemxfsXSHVxNJ38ddKtY3zAP_8c7X6pomQlV9PvI3V1PB6zk2umRuwR_funFQ</recordid><startdate>201306</startdate><enddate>201306</enddate><creator>Burkhalter, J. Philip</creator><creator>Martin, Timothy C.</creator><creator>Allen, Richard G.</creator><creator>Kjaersgaard, Jeppe</creator><creator>Wilson, Erin</creator><creator>Alvarado, Ray</creator><creator>Polly, Jason S.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H97</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope></search><sort><creationdate>201306</creationdate><title>Estimating Crop Water Use via Remote Sensing Techniques vs. Conventional Methods in the South Platte River Basin, Colorado</title><author>Burkhalter, J. Philip ; Martin, Timothy C. ; Allen, Richard G. ; Kjaersgaard, Jeppe ; Wilson, Erin ; Alvarado, Ray ; Polly, Jason S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4051-72ad06e4285e8bd1453918e89ea13d51d58faac12af05834dcf595b720ff330b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Basins</topic><topic>Comparative analysis</topic><topic>consumptive use</topic><topic>crop water use</topic><topic>Crops</topic><topic>Estimates</topic><topic>Estimating</topic><topic>Evapotranspiration</topic><topic>Freshwater</topic><topic>Irrigation</topic><topic>Mathematical models</topic><topic>Remote sensing</topic><topic>River basins</topic><topic>Service areas</topic><topic>Water supply</topic><topic>water supply evaluation</topic><topic>water supply planning</topic><topic>Water use</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Burkhalter, J. Philip</creatorcontrib><creatorcontrib>Martin, Timothy C.</creatorcontrib><creatorcontrib>Allen, Richard G.</creatorcontrib><creatorcontrib>Kjaersgaard, Jeppe</creatorcontrib><creatorcontrib>Wilson, Erin</creatorcontrib><creatorcontrib>Alvarado, Ray</creatorcontrib><creatorcontrib>Polly, Jason S.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Journal of the American Water Resources Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Burkhalter, J. Philip</au><au>Martin, Timothy C.</au><au>Allen, Richard G.</au><au>Kjaersgaard, Jeppe</au><au>Wilson, Erin</au><au>Alvarado, Ray</au><au>Polly, Jason S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating Crop Water Use via Remote Sensing Techniques vs. Conventional Methods in the South Platte River Basin, Colorado</atitle><jtitle>Journal of the American Water Resources Association</jtitle><addtitle>J Am Water Resour Assoc</addtitle><date>2013-06</date><risdate>2013</risdate><volume>49</volume><issue>3</issue><spage>498</spage><epage>517</epage><pages>498-517</pages><issn>1093-474X</issn><eissn>1752-1688</eissn><abstract>We compared two methods of estimating crop water consumption to assess whether remote sensing techniques provide consumptive use (CU) estimates commensurate with conventional methods. Using available historical satellite and meteorological data, we applied Mapping EvapoTranspiration at high Resolution using Internalized Calibration (METRIC) to 317,455 ha in the South Platte basin, in northeastern Colorado, for the 2001 irrigation season. We then compared these derived CU estimates with values calculated by using the Colorado Water Conservation Board's South Platte Decision Support System StateCU model. Evaluating the data by irrigation ditch service area, we disaggregated the output to allow for comparison by service area size, crop type, irrigation method, water supply source, and water availability. We concluded that METRIC is a suitable alternative to StateCU in the South Platte basin and could help to identify areas with inhibited crop growth or deficit irrigation practices. In addition, METRIC could be used as a complement to StateCU to refine StateCU model parameters, allowing for more accurate estimates of crop water shortages and groundwater recharge associated with irrigation delivery and application.</abstract><cop>Middleburg</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/jawr.12051</doi><tpages>20</tpages></addata></record> |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Basins Comparative analysis consumptive use crop water use Crops Estimates Estimating Evapotranspiration Freshwater Irrigation Mathematical models Remote sensing River basins Service areas Water supply water supply evaluation water supply planning Water use |
| title | Estimating Crop Water Use via Remote Sensing Techniques vs. Conventional Methods in the South Platte River Basin, Colorado |
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