GSTDTAP  > 气候变化
DOI10.22617/WPS189279-2
Land Measurement Bias: Comparisons from Global Positioning System, Self-Reports, and Satellite Data
[unavailable]
2018-03-19
出版年2018
语种英语
国家国际
领域气候变化
英文摘要 Land Measurement Bias: Comparisons from Global Positioning System, Self-Reports, and Satellite Data

Using Google Earth in agricultural land measurements as an alternative technique produces land area estimates close to Global Positioning System (GPS) estimates at reduced fieldwork costs.

Traditionally, data on agricultural land size is collected through farmer self-reports in surveys, which has been shown to vary significantly from more accurate estimates derived from Global Positioning System (GPS). However, using GPS introduces significant time and financial costs. This paper proposes using Google Earth for land area measurement and compares estimates with GPS and farmer self-reports. Results show that Google Earth-based land area estimates are very similar to GPS measures, but reduce fieldwork costs by nearly 38%. As remotely sensed data becomes publicly available, it may become a less expensive alternative to link to survey data than rely on GPS measurement.

Contents 

  • Introduction
  • Study Area
  • Data Description
  • Econometric Strategy
  • Main Results
  • Conclusion
  • Appendix: Land Validation Techniques Implemented in the Study
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来源平台Asian Development Bank
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文献类型科技报告
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/234980
专题气候变化
推荐引用方式
GB/T 7714
[unavailable]. Land Measurement Bias: Comparisons from Global Positioning System, Self-Reports, and Satellite Data,2018.
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