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SPDSS_Task89-2_CropLandUseClassificationProcedures_20060929
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SPDSS_Task89-2_CropLandUseClassificationProcedures_20060929
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Last modified
4/17/2013 9:54:12 AM
Creation date
6/5/2008 9:24:41 AM
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Decision Support Systems
Title
SPDSS Task 89.2 - Crop and Land Use Classification Procedures for Year 2001
Description
This memorandum describes the activities conducted under Task 89: ‘Mapping of Irrigated Land Use and Irrigated Parcel Boundaries’ for year 2001 and complements the SPDSS Memoranda for Task 89.1 and Task 90.2. This memorandum also provides details on the methods used to conduct a number of Task 89 activities, including Task 89.3: Determine Irrigated Vs. Non-irrigated Lands, Task 89.4: Identify Crop Types In Each Polygon, Task 89.5: Review, Revision and Final Classification, and Task 89.6: Conduct Accuracy Assessment, as well as the results obtained from these activities for year 2001.
Decision Support - Doc Type
Task Memorandum
Date
9/29/2006
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 89.2 <br />Figure 16 shows the development of overall accuracy and Kappa Index of Agreement (KIA) of three <br />iterations of the classification refinement process. The Initial Classification (1) and the Refined <br />Classification (2) were conducted using the initial and optimized thresholds shown in Table 4 of Section <br />2.5.1. The `Final Classification' corresponds to the last iteration of the classification refinement process, <br />after manual delineation of irrigated parcel boundaries and edits from water user inputs. The overall <br />accuracy achieved in this classification was 96 percent. Notable is not only the progressive improvement <br />of overall accuracy and KIA with each refinement iteration but the diminishing gap between the KIA and <br />overall accuracy, indicating an improvement in the reliability of the results6. Error matrices and their <br />corresponding derived accuracy assessment parameters for all three classifications are presented in <br />Appendix D. <br />100% 1 <br /> <br />90% 0 <br />9 <br /> . <br />80% 0 <br />8 <br /> . <br /> sv <br />70% 0 <br />7 ~ <br /> . <br />~ ~ <br />60% 0 <br />6 Q <br />3 <br />~ . <br />. <br />~ <br />x <br />~ <br />Q 50% 0.5 0, <br /> <br />40% D <br />0 <br />4 <br /> . <br />O <br />30% fD <br />0 <br />3 ~ <br /> . <br /> rt <br />20% - 0.2 <br />10% 0.1 <br />0% 0 <br /> (1) Initial Classification (2) Refined ~3~ Final Classification <br /> Classification <br />(Overall Accuracy 68.42°k 76.54°k 96.16°k <br />~ KIA 0.37 0.53 0.92 <br />Figure 16. Overall Accuracy and Kappa Index of Agreement (KIA) for the Iterations of Irrigated Lands <br />Classification <br />The error matrices in Appendix D show an initial overestimation of irrigated lands in the first two <br />classifications. This overestimation was reduced in the classification refinement process as a result of the <br />improved calibration of the thresholds, manual delineation of parcels, and later on, with edits from <br />information obtained from water users. The overestimation can be explained in part by a decision made <br />by the analysts to be inclusive in the initial classification attempts and then proceed to eliminate the <br />identified errors gradually in the classification refinement process. Table 5 shows an evaluation of edits <br />made to the irrigated parcels data based on comments from water users. The purpose of this evaluation <br />was to corroborate results obtained with the accuracy assessment described above using a different <br />evaluation approach. From Table 5 it is evident that the amount of parcels eliminated was approximately <br />6 The Kappa Index of Agreement (KIA) is based on the difference between the actual agreement in the error matrix (i.e., the <br />agreement between the classification and the reference data as indicated by the major diagonal) and the chance agreement (i.e., <br />indicated by the marginals) (Congalton and Green 1999). The higher the KIA, the farther apart the classification results from a <br />classification resulting from chance. <br />Page 24 of 45 ~R~versfde FecAnotogy, fnc. <br />4'JaYer Resources Errgi~ecr:np an~i CansuFlrnp <br />
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