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SPDSS Memorandum-Final <br />To: Ray Alvarado, Ray Bennett <br />From: Riverside Technology, inc., Claudio Schneider, Timothy Martin, and Chris Woodward <br />Subject: SPDSS Draft Memorandum 89.2 -Crop and Land Use Classification Procedures for Year 2001 <br />Date: September 29, 2006 <br />1. Introduction <br />The Spatial Systems Integration component of the South Platte Decision Support System (SPDSS) is <br />mapping and classifying current and historic land use, irrigated lands, and irrigation service areas for both <br />ground and surface water. This memorandum describes the activities conducted under Task 89: <br />`Mapping of Irrigated Land Use and Irrigated Parcel Boundaries' for year 2001 and complements the <br />SPDSS Memoranda for Task 89.1 and Task 90.2. This memorandum also provides details on the <br />methods used to conduct a number of Task 89 activities, including Task 89.3: Determine Irrigated Vs. <br />Non-irrigated Lands, Task 89.4: Identify Crop Types In Each Polygon, Task 89.5: Review, Revision and <br />Final Classification, and Task 89.6: Conduct Accuracy Assessment, as well as the results obtained from <br />these activities for year 2001. Task 93 Mapping Historic Land Use will be described in a separate memo <br />building upon procedures described under Task 89: Mapping of Current Land Use and Irrigated Field <br />Boundaries. Per the Scope of Work for Phase 1 and 2 of SPDSS, Spatial System Integration Component, <br />page 2, the objective of Task 89 involves the following: <br />Current land use--including irrigated areas and major crop types will be mapped using <br />multiple satellite images from the 2001 season and applicable GIS data. Also, general <br />classes of natural vegetation will be mapped for the groundwater modeling areas. <br />More details on the specific objectives of Tasks 89.3, 89.4, 89.5, and 89.6 are in the Phase 4 SPDSS <br />Scope of Work (page 3). <br />2. Methodology <br />2.1 Overview <br />Classification procedures conducted under SPDSS-including preprocessing, reference data collection, <br />interpretation, and classification, and evaluation and validation, along with their corresponding project <br />subtasks-are shown in Figure 1. The procedures followed a hierarchical approach starting with the <br />classification of irrigated lands and continuing with the classification of irrigated crops. Iterative error <br />reduction techniques were applied in every classification step to improve the accuracy of the <br />classification. <br />2.2 Preprocessing of Landsat Data <br />2.2.1 Landsat Data Import <br />Landsat data acquired on CDs from the United States Geological Survey (USGS) were imported from the <br />National Land Archive Production System (NEAPS) format into ERDAS Imagine using the import <br />utilities included in the software (for more details on Landsat data acquired for this project please refer to <br />SPDSS Memorandum 89.1). Two procedures were used to import the different formats of Landsat 5 and <br />Landsat 7 data. In the case of Landsat 5, all seven bands were imported at once in their corresponding <br />order into an image composite. Once the composite was generated, Band 6, the thermal band was <br />removed because it was not required for the image analysis and classification procedures applied in this <br />project. In the case of Landsat 7, the thermal band can only be imported separately. Thus, there was no <br />need to remove the thermal band from the image composite after importing the main six reflective bands. <br />Page 1 of 45 ~RFversfde TecAnotogy, fnc. <br />4'JaYCr Resources Errgi~ecr:np an~i CansaFlrnp <br />