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Proceedings Paper

Large-area monitoring of agricultural land incorporating Landsat and sampling techniques
Author(s): Huamao Zhou; Genong Yu; Liangxiu Zeng; Dingchang Liu; Chi Zhang
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Paper 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.

Paper Details

Date Published: 17 August 1998
PDF: 5 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317799
Show Author Affiliations
Huamao Zhou, Chengdu Subctr. of Agricultural Remote Sensing (China)
Genong Yu, Chengdu Subctr. of Agricultural Remote Sensing (China)
Liangxiu Zeng, Chengdu Subctr. of Agricultural Remote Sensing (China)
Dingchang Liu, Chengdu Subctr. of Agricultural Remote Sensing (China)
Chi Zhang, Chengdu Subctr. of Agricultural Remote Sensing (China)

Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

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