Analysis of the dynamics of shifting cultivation in the tropical forests of Northern Thailand using LANDSAT modeling and classification of LANDSAT imagery
There are no author-identified significant results in this report.
Miller, L. D.↗
Engineering topics
Nualchawee, K.
Publications and source records attributed to Nualchawee, K..
Remote sensing inputs to landscape models which predict future spatial land use patterns for hydrologic models
A tropical forest area of Northern Thailand provided a test case of the application of the approach in more natural surroundings. Remote sensing imagery subjected to proper computer analysis has been shown to be a very useful means of collecting spatial data for the science of hydrology. Remote sensing products provide direct input to hydrologic models and practical data bases for planning large and small-scale hydrologic developments. Combining the available remote sensing imagery together with available map information in the landscape model provides a basis for substantial improvements in these applications.
Miller, L. D.↗