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- Title
Detecting the moisture content of forest surface soil based on the microwave remote sensing technology.
- Authors
孙莎莎; 巩彪; 温丹; 王秀峰; 魏珉; 杨凤娟; 李岩; 史庆华
- Abstract
The moisture content of forest surface soil is an important parameter in forest ecosystems. It is practically significant for forest ecosystem related research to use microwave remote sensing technology for rapid and accurate estimation of the moisture content of forest surface soil. With the aid of TDR-300 soil moisture content measuring instrument, the moisture contents of forest surface soils of 120 sample plots at Tahe Forestry Bureau of Daxing'anling region in Heilongjiang Province were measured. Taking the moisture content of forest surface soil as the dependent variable and the polarization decomposition parameters of C band Quadpol SAR data as independent variables, two types of quantitative estimation models (multilinear regression model and BPneural network model) for predicting moisture content of forest surface soils were developed. The spatial distribution of moisture content of forest surface soil on the regional scale was then derived with model inversion. Results showed that the model precision was 86.0% and 89.4% with RMSE of 3.0% and 2.7% for the multilinear regression model and the BPneural network model, respectively. It indicated that the BPneural network model had a better performance than the multilinear regression model in quantitative estimation of the moisture content of forest surface soil. The spatial distribution of forest surface soil moisture content in the study area was then obtained by using the BP neural network model simulation with the Quad-pol SAR data.
- Publication
Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao, 2016, Vol 27, Issue 3, p785
- ISSN
1001-9332
- Publication type
Article
- DOI
10.13287/ j.1001-9332.201603.038