![]() | |
---|---|
![]() |
100,685,000 Yen (FY1997;33,980,000 Yen)
This project investigates new techniques for wetland monitoring using remotely sensed images, with a special emphasis on wetland vegetation mapping. There are 3 major original contributions in this thesis: First is the development of new spectral indices, such as Perpendicular Vegetation Index, Water Turbidity Index, and Vegetation-Soil-Water Index.
Second is the development of a new unmixing method called the subspace method. Third is the development of a new classification method using multi-temporal satellite images.
Remote Sensing, Wetland, Classification, Multi-temporal, Unmixing