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Record Details

Record 45 of 26136
Estimating optimal sampling unit sizes for satellite surveys
External Online Source: doi:10.1016/0034-4257(84)90014-2
Author and Affiliation:
Hallum, C. R.(Houston, University, Clear Lake City, TX, United States)
Perry, C. R., Jr.(U.S. Department of Agriculture, Statistical Reporting Service, Houston, TX, United States)
Abstract: This paper reports on an approach for minimizing data loads associated with satellite-acquired data, while improving the efficiency of global crop area estimates using remotely sensed, satellite-based data. Results of a sampling unit size investigation are given that include closed-form models for both nonsampling and sampling error variances. These models provide estimates of the sampling unit sizes that effect minimal costs. Earlier findings from foundational sampling unit size studies conducted by Mahalanobis, Jessen, Cochran, and others are utilized in modeling the sampling error variance as a function of sampling unit size. A conservative nonsampling error variance model is proposed that is realistic in the remote sensing environment where one is faced with numerous unknown nonsampling errors. This approach permits the sampling unit size selection in the global crop inventorying environment to be put on a more quantitative basis while conservatively guarding against expected component error variances.
Publication Date: Jan 01, 1984
Document ID:
19840039605
(Acquired Nov 28, 1995)
Accession Number: 84A22392
Subject Category: EARTH RESOURCES AND REMOTE SENSING
Document Type: Journal Article
Publication Information: Remote Sensing of Environment (ISSN 0034-4257); 14; 183-196
Publisher Information: United States
Contract/Grant/Task Num: NAS9-16815
Financial Sponsor: NASA; United States
Organization Source: Houston Univ.; Clear Lake, TX, United States
Department of Agriculture; Houston, TX, United States
Description: 14p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: CROP IDENTIFICATION; DATA SAMPLING; REMOTE SENSING; SATELLITE SOUNDING; ANALYSIS OF VARIANCE; ERROR ANALYSIS; LANDSAT SATELLITES; LARGE AREA CROP INVENTORY EXPERIMENT; OPTIMIZATION
Imprint And Other Notes: Remote Sensing of Environment (ISSN 0034-4257), vol. 14, Jan. 1984, p. 183-196.
Availability Source: Other Sources
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