Adaption Study Of Multi-Source Remotely Sensed In Forest Magement Investigation

The experimental area is selected in Badaling region of Beijing with the destruction of forest aspect and complex topography. For this reason, the following multi-remote-sensing information sources are selected: ETM (including TM), spot4 (panchromatic), spots (panchromatic and multi spectral), IKONOS (panchromatic and multi-spectral) and digital aerial photographs. Also, through the spectral analysis in digital image processing, methods of geometric correction and accuracy analysis, strengthening of information and extraction of the feature information of emerging of ratio and information; the extraction of species and division into sub-compartment by using multi-supplementary information sources"; and from the identification ability of a compartment, division into sub-compartments, land type and species and the ability of accuracy of geomatric correction and map-drawing; they can be used as the comprehensive assessment of the ability of landscape planning and many other aspects, and determine the adaptiue faculty of different information sources in the forest management inventory.The study indicates that digital photographic aerial photo, IKONOS (panchromatic and multi-spectral), spots (panchromatic and multi-spectral) and the emerging map of spot4 (panchromatic) and ETM can all be used in the forest management inventory, whereas ETM (including TM) or the emerging map of ETM and spot4 (panchromatic) can be used to investigate forest resources and draw maps in the mountain area of better forest aspect, when the first three remote-sensing sources can be used in the investigation of urban resources and the demand on detailed investigation is higher or the map-drawing of 10,000 ratio scale.