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Regression model estimation of early season crop proportions: North Dakota, some preliminary resultsTo estimate crop proportions early in the season, an approach is proposed based on: use of a regression-based prediction equation to obtain an a priori estimate for specific major crop groups; modification of this estimate using current-year LANDSAT and weather data; and a breakdown of the major crop groups into specific crops by regression models. Results from the development and evaluation of appropriate regression models for the first portion of the proposed approach are presented. The results show that the model predicts 1980 crop proportions very well at both county and crop reporting district levels. In terms of planted acreage, the model underpredicted 9.1 percent of the 1980 published data on planted acreage at the county level. It predicted almost exactly the 1980 published data on planted acreage at the crop reporting district level and overpredicted the planted acreage by just 0.92 percent.
Document ID
19820016676
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Lin, K. K. (Lockheed Engineering and Management Services Co., Inc. Houston, TX, United States)
Date Acquired
September 4, 2013
Publication Date
January 1, 1982
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
NASA-CR-167567
SR-L1-0415
E82-10274
LEMSCO-17156
JSC-17429
NAS 1.26:167567
Accession Number
82N24552
Funding Number(s)
PROJECT: PROJ. AGRISTARS
CONTRACT_GRANT: NAS9-15800
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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