My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
SPDSS_Task89-1_ImageryMethodsOrdering_20030708
CWCB
>
Decision Support Systems
>
DayForward
>
SPDSS_Task89-1_ImageryMethodsOrdering_20030708
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
4/17/2013 9:52:12 AM
Creation date
6/5/2008 9:09:29 AM
Metadata
Fields
Template:
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.
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
13
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
Show annotations
View images
View plain text
MEMO -TASK 89.1 <br />5.3 Irrigated parcels map <br />The classification of agricultural crops will begin with an irrigated parcels map manually interpreted and <br />drawn using the NDVI composite described in the previous section. A mask will be produced to eliminate <br />areas not classified as potentially irrigated. This will eliminate errors associated with spectral similarities <br />between crops and other land cover types (e.g., riparian vegetation). <br />5.4 Reference data acquisition <br />Ground truth data will be collected from primary and secondary sources. The primary source will be field <br />observations conducted by RTi personnel of permanent cover types like rangeland, wetlands, deciduous <br />trees, urban areas, etc., and semi-permanent cover types like irrigated meadows and hay fields, dry land <br />agriculture, etc. Secondary sources correspond to reference data obtained from other sources like the <br />Farm Service Agency (FSA) Colorado State University, etc. The main source of ground truth data will be <br />the FSA's annual delineation of crop types provided by producers on high-resolution aerial photographs, <br />which cover approximately 50 percent of farmlands in the study area. <br />Approximately fifty percent of the "ground truth" reference data described above will be used to develop <br />spectral signatures of the agricultural and other cover types to be classified. The other fifty percent will be <br />set aside for the accuracy assessment. <br />The information will be selected following standard statistical sampling procedures as much as practical. <br />As recommended in the literature (Jensen 1996, Congalton and Green 1999), these data will include at a <br />minimum 50 field polygons for each major crop type. <br />Page 10 of 13 ~,~tversFde TecAnafagy, lnc. <br />4'J:.fr: !?es'ourccs Frrr~mec.•r.?g ~~nd L'nr+suilrnq <br />Figure 5: Resolution merge of NDVI classification and DOQQ <br />
The URL can be used to link to this page
Your browser does not support the video tag.