[DOWNLOAD] "Hyperspectral Remote Sensing for Tropical Rain Forest (Report)" by American Journal of Applied Sciences " Book PDF Kindle ePub Free
eBook details
- Title: Hyperspectral Remote Sensing for Tropical Rain Forest (Report)
- Author : American Journal of Applied Sciences
- Release Date : January 01, 2009
- Genre: Engineering,Books,Professional & Technical,
- Pages : * pages
- Size : 71 KB
Description
INTRODUCTION Tropical rain forests represent some of the most biological diverse, structurally complex ecosystem on Earth. The identification of tree species is a key element in the definition of habitats of key fauna that use specific trees for food and shelter. Remote sensing is beginning to play amore active role in efforts to detect, monitor and manage forests. Monitoring forest health and stress from remotely sensed images is of concern for forest management. The art monitoring system aimed at forest tree species identification using airborne and the spaceborne sensors are potentially key tools for the development of sustainable development policies. Spectrally continuous hyperspectral remote sensing data can provide information on forest biochemical contents, which are important for study vegetation stress, nutrient cycling, productivity and species recognition etc. Remote sensing measurements have the potential to provide a cost effective means to examine the complexity of forest and generalize findings from plot scale. Broad band measurements collected by satellite sensors such as SPOT HRV and Landsat TM can be used to distinguished broad groups of communities level different stages of succession, but lack the capability to perform identification of individual species. The introduction of hyperspectral sensors which produce much more complex data and provide much enhanced abilities to extract useful information from conventional data stream. However, it is also demand more complex and sophisticated data analysis procedures of their full potential to be achieved.