Evaluation of a segment-based Landsat full-frame approach to crop area estimation.

M. M. Hixson; S. M. Davis; M. E. Bauer

Evaluation of a segment-based Landsat full-frame approach to crop area estimation.

M. M. Hixson, S. M. Davis, M. E. Bauer

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Abstract

The objective of this study was to assess the effect of separating the functions of sampling for training and sampling for area estimation. Two classification and area estimation procedures were compared: 1) statistics developed on one segment were used to classify that segment, and 2) pooled statistics from the segments were used to classify a systematic sample of pixels in the stratum. Comparisons to USDA/ESCS estimates illustrate the potential of using a full-frame sampling approach. -from Authors

Original language	English (US)
Title of host publication	Purdue University, LARS Technical Report
Volume	062381
State	Published - 1981

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abstract = "The objective of this study was to assess the effect of separating the functions of sampling for training and sampling for area estimation. Two classification and area estimation procedures were compared: 1) statistics developed on one segment were used to classify that segment, and 2) pooled statistics from the segments were used to classify a systematic sample of pixels in the stratum. Comparisons to USDA/ESCS estimates illustrate the potential of using a full-frame sampling approach. -from Authors",

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N2 - The objective of this study was to assess the effect of separating the functions of sampling for training and sampling for area estimation. Two classification and area estimation procedures were compared: 1) statistics developed on one segment were used to classify that segment, and 2) pooled statistics from the segments were used to classify a systematic sample of pixels in the stratum. Comparisons to USDA/ESCS estimates illustrate the potential of using a full-frame sampling approach. -from Authors

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Evaluation of a segment-based Landsat full-frame approach to crop area estimation.

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