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State level crop area estimation using satellite data in a regression estimator

Permanent URL:
http://handle.nal.usda.gov/10113/21788
File:
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Abstract:
The USDA's National Agricultural Statistics Service (NASS) estimates state level crop acreage in the Mississippi Delta region using area frame survey data and Landsat Thematic Mapper (TM) satellite data. Five general steps produce these acreage estimates. First, a sample of TM pixel data is clustered by land cover. Second, sampled TM pixels are assigned to a land cover class using maximum likelihood classification. Third, classified sample pixels are regressed with reported crop acreages. Fourth, TM scenes are classified. Finally, acreage is estimated with a regression estimator using classified pixel counts as ancillary information to the' ground survey' data. The potential· benefit is mainly a reduction in variance with some adjustment of the state acreage estimates.
Author(s):
Graham, M.L.
Note:
In the series analytic: Survey methods for businesses, farms, and institutions. I. Paper presented at the International Conference on Establishment Surveys, June 28-30, 1993, Buffalo, New York.
Source:
SRB research report Sept 1993. (93-10)
Language:
English
Year:
1993
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Rights:
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.