Study On Spectral Characteristics And Remote Sensing Information Extraction Methods Of Bamboo Forest

According to the deficiency of long time intervals, heavey human input, difficult to survey and low statistical accuracy of the traditional bamboo resources monitoring. Taking Shunchang county as study area, carried out the reflectance spectra features characteristic of bamboo and its surrounding ground objects with different phases, research on bamboo forest area extraction with remote sensing classification techniques and dynamic monitoring technology. The research results were as follow:(1) The spectral characteristic of Phyllostachys pubescens, cunninghamia lanceolata, Pinus massoniana, Schima superba,water body, farmland and cement pavement were measured respectively in November 2007, April 2008, July 2008 and October 2008. According to the spectral characteristic of Phyllostachys pubescens, Cunninghamia lanceolata, Pinus massoniana, Schima superba in four different phases, it was shown that bamboo can be compartmentation with other vegetation types. The distinction between 500 ~ 600nm in the visible band and 670 ~ 800nm in the near-infrared band is significantly, optimal distinction result appeared on 556nm and 718nm. In the aspect of selecting phase of the remote sensing information, the best one was pre and post spring-leaf stage ,followed by the fall. However, due to the impact of the the rainy season in south area, it was difficult to get the ideal data, so the fall was the key period to get remote images data.(2) The spectral characteristic of Phyllostachys pubescens, cunninghamia lanceolata, Pinus massoniana pure forest and bamboo mixed wide, bamboo mixed cunninghamia lanceolata, cunninghamia lanceolata mixed Schima superba were measured respectively in November 2007. Then makes the human simulation of the It also makes all types of spectral data according to TM1~4 bands resampled and similarity matrix analysis. The results showed that: bamboo and cunninghamia lanceolata can distinguish little degrees, and with other types was more.(3) The research relating to remote sensing classification extraction of bamboo forest areas was carried out with the ETM data which was acquried in October 2001.Based on three kinds of conventional methods which are ISODATA method, maximum likelihood method and sub-pixel classification categories, A new thematic information extraction method which called'Base on the spectral sheet and texture typeswas proposed'in this paper. The experimental results show that, the classification accuracy of this method can be 84.8%, and the total Kappa coefficient can be 0.8235, which can effectively solve the shadow problem caused by terrain factor. It was an effective way to improve the classification accuracy of the information about bamboo in mountain area.(4) Four phases of TM/ETM images between 1988 and 2007 in Shunchang country were selected to making research about dynamic monitoring of bamboo forest areas through post-classification comparison method.The results showed that there was wide range of bamboo resources in Shunchang county, which mainly located in remote mountainous areas and the central and north-west areas little. On the point of rising situation of the Bamboo area, the average annual growth between 1988 and 1992 was 0.0645 million hectares with the growth rate 2.2%.The average annual growth between 1992 and 2001 was 0.0262 million hectares with the growth rate 0.8%. The average annual growth between 2001 and 2007 was 0.1629 million hectares with the growth rate 4.8%.The third period was the rapid growing period of industrial development about bamboo in Shunchang County.Through measured the spectral characteristics of bamboo forest and surrounding surface features in different seasons, differences among bamboo, other vegetation and eco-environmental factors were determined to distinguish, and the spectroscopy theory of satellite images choice and information extraction were provide, and a scientific basis of remote sensing technology in the bamboo forest resources, growth, change and health monitoring was provided. By comparing the different extraction methods of bamboo forest area precision, provided technical support for bamboo resource inventory in China, and covering change, disaster forecasting and the surrounding ecological environment of the application of dynamic monitoring with remote sensing, and it was important to carry out the bamboo resource investigation and monitoring in China .