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SPDSS_Task89-1_ImageryMethodsOrdering_20030708
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SPDSS_Task89-1_ImageryMethodsOrdering_20030708
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Last modified
4/17/2013 9:52:12 AM
Creation date
6/5/2008 9:09:29 AM
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Decision Support Systems
Title
SPDSS Task 89.1 - Finalize Methods and Order Imagery
Description
The purpose of this memo is to review relevant literature, including reports of researchers and previous State contractors engaged in mapping land use and crop types for water resources applications, and consequently describe the recommended technical approach for mapping current land use.
Decision Support - Doc Type
Task Memorandum
Date
7/8/2003
DSS Category
GIS
DSS
South Platte
Basin
South Platte
Contract/PO #
C153960
Grant Type
Non-Reimbursable
Bill Number
SB01-157, HB02-1152, SB03-110, HB04-1221, SB05-084, HB06-1313, SB07-122
Prepared By
Riverside Technology inc.
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MEMO -TASK 89.1 <br />Table 1: Summary of reviewed studies <br />No. Author Study Name C1asTficetion Study Area <br /> <br /> Irrigated Lands Assessment Irrigated lands <br /> Using Satellite Imagery in the 2 <br />1 Agro Engineering, Inc. 1,509 miles <br /> Rio Grande Basin of Crop types <br /> Colorado <br /> Western Slope Irrigated Irrigated lands <br /> Spatial Sciences and Refresh Project for the Approx. 39,000 <br />2 <br /> Imaging Colorado Decision Support Crop type miles <br /> System <br />3 Maxwell and Hoffer Mapping Agricultural Crops <br />with Multi-Date Landsat Data Crops types 256 miles2 <br /> An Examination of the <br />4 Vieira and Mather Effectiveness of <br />Multitemporal Crop Crop types Not specified <br /> Classification <br />5 NCWCD N/A Irrigation lands 23,500 miles <br /> Crop types <br /> Using Satellite Imagery to <br />6 Williams and Eckhardt Inventory Irrigated Lands in Irrigated lands 113 <br />000 miles <br /> the Upper Colorado River , <br /> Basin <br /> Mapping and Monitoring <br />7 Congalton et al. Agricultural Crops and Other Crop types Lower Colorado <br /> Land Cover in the Lower River Basin <br /> Colorado River Basin <br /> Automated Crop Type <br />8 Maxwell et al. Mapping from Landsat Corn 13,086 miles <br /> Imagery <br /> <br />9 Martinez-Beltran and Irrigated Crop Area <br />Estimation Using Landsat TM <br />Irrigated lands z <br />3 <br />125 miles <br /> Calera-Belmonte Imagery in La Mancha, Spain , <br /> Classification of Irrigated <br />10 Qi et al. Land Using Satellite Imagery, Irrigated lands 174,000 miles <br /> the High Plains Aquifer <br /> Mapping of Center Pivot <br /> Irrigation in Colorado. <br />11 Cipra et al. Colorado Water. Newsletter Irrigated lands 104,247 miles <br /> of the Water Center at <br /> Colorado State University <br />Spatial Sciences and Imaging (2002), classified irrigated parcels in the Western Slope Irrigated Refresh <br />Project for the Colorado Decision Support System, using a Tasseled Cap transformation (Kauth and <br />Thomas 1976, Crist and Cicone 1984) of single date Landsat 5 and 7 data. From the Tasseled Cap <br />transformation, spectral profiles were developed and thresholds were defined to separate irrigated from <br />non-irrigated lands. The results of this procedure were then used as a visual aid to manually map field <br />boundaries on high-resolution Digital Ortho Quads (DOQQ) or 15-meter panchromatic Landsat TM <br />satellite data. These boundary maps were provided to water commissioners who corrected the field <br />boundaries, and assigned crop type and water supply information to the fields. The crop information was <br />then used to develop spectral signatures in a Maximum Likelihood classification procedure for producing <br />field maps. The reported absolute overall accuracy for the irrigated classification ranged from 89 percent <br />to 93 percent for the western slope Water Divisions 4, 5, 6 and 7. In the case of the crop-type <br />Page 2 of 13 ~-~~versfde TecAnafagy, lnc. <br />W:rler Resources Frr~mec.•rng ,end L'nr+surlrn2 <br />
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