Biomass Estimation of Five Kinds of Mangrove Community with the KNN Method Based on the Spectral Information and Textural Features of TM Images

CAO Qing-xian; XU Da-ping; JU Hong-bo

In order to research the biomass of mangrove based on remote sensing, the biomass of mangrove with the method of KNN was estimated by extracting spectral information and textural features from TM images, combining the field survey biomass data and compared with that of multiple regression analysis. The results showed that with KNN method, the accuracy increased with the extension of the scale, and K=10 was better than K=5 in the accuracy. Estimating biomass of mangrove in the pixel scale, the multiple regression analysis was better than that by using KNN method.

1. Guangxi Mangrove Research Center, Guangxi Key Lab for Mangrove Conservation, Beihai 536000, Guangxi, China

2. Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, Guangdong, China

3. Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

Received Date: 2010-03-31

Abstract: In order to research the biomass of mangrove based on remote sensing, the biomass of mangrove with the method of KNN was estimated by extracting spectral information and textural features from TM images, combining the field survey biomass data and compared with that of multiple regression analysis. The results showed that with KNN method, the accuracy increased with the extension of the scale, and K=10 was better than K=5 in the accuracy. Estimating biomass of mangrove in the pixel scale, the multiple regression analysis was better than that by using KNN method.

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Biomass Estimation of Five Kinds of Mangrove Community with the KNN Method Based on the Spectral Information and Textural Features of TM Images

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