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Estimation of forest volumes by integrating Landsat tm imagery and forest inventory data

Science China(Technological Sciences) 2006年第Z1期49卷 54-62页

作者： GU Huiyan, DAI Limin, WU Gang, XU Dong, WANG Shunzhong &WANG Hui Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China School of Forestry, Northeast Forestry University, Harbin 150040, China State Key Lab of Systems Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China Graduate University of Chinese Academy of Sciences, Beijing 100039, China Institute of Applied Ecology Chinese Academy of Sciences Shenyang China School of Forestry Northeast Forestry University Harbin China State Key Lab of Systems Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing China Graduate University of Chinese Academy of Sciences Beijing China

Accurate information about forest volumes is essential for forest management planning. The survey interval of the Forest Resource Inventory of China (FRIC) is too long to meet the demand for timely decision-making required for forest protection, management, and utilization. Analysis of satellite imagery provides good potential for more frequent reporting of forest parameters. In this study, we describe an application of the k-nearest neighbors (kNN) method to Landsat tm imagery for improving estimation of forest volumes. Several spectral features were tested and compared in forest volume estimations, including normalized difference vegetation index, environmental vegetation index, and the combination of the spectral features. The combined index resulted in the most accurate volume estimations. The kNN estimator and the combined index were then used in forest volume estimation. The estimation error (RMSE) of the total volume was44.2%, much lower than those for Larix forest (the RMSE was 51.7%) and those for the Korean pine and broadleaved forests (the estimation errors were over 71.7% and 88.19%,respectively). This preliminary study demonstrates the potential of forest volume estimations with remote sensing data to provide useful information for forest management if only limited ground information is available.

关键词： forest inventory, landsat tm, k-nearest neighbors, spectral extraction.

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Remote sensing parameterization of the processes of energy and water cycle over desertification areas

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Science China Earth Sciences 2002年第Z1期45卷 47-53页

作者：马耀明 Tsukamoto Osamu Ishikawa Hirohiko Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China Faculty Sciences Okayama University Okayama 700 Japan Disaster Prevention Research Institute Kyoto University Uji Kyoto 611 Japan

In order to understand the processes of land surface-atmosphere interaction over de-sertification area, it is indispensable to utilize of satellite remote sensing. Two scenes of Landsattm were used to produce a set of maps of surface reflectance, MSAVI, vegetation coverage, sur-face temperature, net radiation, soil heat flux, sensible heat flux and latent heat flux. Statisticalanalysis based on these maps revealed some quantitative significant land surface *** developments of the method are also discussed.

关键词： energy and water cycle, desertification area, Landsat tm, field observation.

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