Large-area monitoring of agricultural land incorporating Landsat and sampling techniques

Huamao Zhou; Genong Yu; Liangxiu Zeng; Dingchang Liu; Chi Zhang

doi:10.1117/12.317799

17 August 1998 Large-area monitoring of agricultural land incorporating Landsat and sampling techniques

Huamao Zhou, Genong Yu, Liangxiu Zeng, Dingchang Liu, Chi Zhang

Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317799
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

Abstract

This paper discusses procedures and techniques involved in a research project on present land use investigation by using Landsat data and sampling technology. which has a special emphasis on present land type stratification. sampling procedures fit for the application of satellite remote sensing. sample design. database management. statistical summary and extrapolation. statistical analysis and precision evaluation. A sampling system fit for investigation and monitoring of agricultural land use type. A framework for stratified sampling was achieved through the detennination of parameters. like sample size, sampling rate. sample number and location. The methodology was extended to be used in the •whole Sichuan province in the scale of I : 100,000. which is classified as 7 strata or 25 sub-strata. has I 18 samples of IOKmX 10km. and 2.00/t in tenns of sampling rate. Project results suggest that the method is feasible. operational. repeatable and effective both in time and cost. The accuracy is acceptable for macro-scale survey in moderate or small mapping scale, especially with well stratified strata and extensive incorporation of remote sensing and GIS. The methodology is detailed in this paper.

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Huamao Zhou, Genong Yu, Liangxiu Zeng, Dingchang Liu, and Chi Zhang "Large-area monitoring of agricultural land incorporating Landsat and sampling techniques", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317799

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KEYWORDS

Agriculture

Earth observing sensors

Landsat

Remote sensing

Statistical analysis

Geographic information systems

Satellites

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