Soil moisture spatial heterogeneity and its remote sensing scale analysis in arid area

Qing Zhang; Kefa Zhou; Wei Gao

doi:10.1117/12.898519

16 December 2011 Soil moisture spatial heterogeneity and its remote sensing scale analysis in arid area

Qing Zhang, Kefa Zhou, Wei Gao

Proceedings Volume 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII; 81560U (2011) https://doi.org/10.1117/12.898519
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

For the characteristics of soil moisture in arid areas existence space heterogeneity, soil moisture remote sensing shall be based on what scales can meets the requirements do not break again operability being a big problem. The paper analyzes scale features of water heat energy parameters, introduces the scale curve. Then we analyze the relationship of spatial scale between spatial heterogeneity of surface parameters and remote sensing observational ability; believe that the intersection curve is helpful to determine the remote sensing observation scale of regional soil moisture. Therefore, study the spatial scale characteristics of surface parameters; in particular test the critical point of key parameters which is possible existence is very important. From case study, we quantitatively test the spatial scale from four aspects: Polygon scale analysis of land cover, pixel scale analysis of land cover, spatial semi-variance analysis of land attributes, multi-Scale consistency index; the suitable spatial scale is less than 1km,250m,1km and 240-480m. Integrated its results, the optimum soil moisture remote sensing research scale is between 300-1000m in arid area.

Citation Download Citation

Qing Zhang, Kefa Zhou, and Wei Gao "Soil moisture spatial heterogeneity and its remote sensing scale analysis in arid area", Proc. SPIE 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, 81560U (16 December 2011); https://doi.org/10.1117/12.898519

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KEYWORDS

Remote sensing

Soil science

Heat flux

Analytical research

Environmental sensing

MODIS

Surface properties

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