1999International Journal of Remote SensingRequires access

Basic probability sampling designs for thematic map accuracy assessment

Stephen V. Stehman

Open publisher page 161 citations

Abstract

Choosing a sampling design for assessing thematic map accuracy requires the strength of a sampling design to be matched to the objectives and resources available for the accuracy assessment. The criteria to consider when planning the sampling design are that the sample should: (1) satisfy probability sampling protocol; (2) be simple to implement and analyse; (3) result in low variance for the key estimates of the assessment; (4) permit adequate variance estimation; (5) be spatially well distributed; and (6) be cost effective. Several basic probability sampling designs useful for accuracy assessment are reviewed, and recommendations are provided to guide the selection of an appropriate design.

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What this paper is about

Choosing a sampling design for assessing thematic map accuracy requires the strength of a sampling design to be matched to the objectives and resources available for the accuracy assessment. The criteria to consider when planning the sampling design are that the sample should: (1) satisfy probability sampling protocol; (2) be simple to implement and analyse; (3) result in low variance for the key estimates of the assessment; (4) permit adequate variance estimation; (5) be spatially well distributed; and (6) be cost effective. Several basic probability sampling designs useful for accuracy assessment are reviewed, and recommendations are provided to guide the selection of an appropriate design.

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Available abstract

Choosing a sampling design for assessing thematic map accuracy requires the strength of a sampling design to be matched to the objectives and resources available for the accuracy assessment. The criteria to consider when planning the sampling design are that the sample should: (1) satisfy probability sampling protocol; (2) be simple to implement and analyse; (3) result in low variance for the key estimates of the assessment; (4) permit adequate variance estimation; (5) be spatially well distributed; and (6) be cost effective. Several basic probability sampling designs useful for accuracy assessment are reviewed, and recommendations are provided to guide the selection of an appropriate design.

Key concepts: Sampling design, Sampling (signal processing), Thematic map, Computer science, Probability sampling, Selection (genetic algorithm), Protocol (science), Simple random sample

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