- Project Leader : Raghavan (Graduate School for Creative Cities, Osaka City University)
- Collaborators : Kono Yasuyuki (Center for Southeast Asian Studies, Kyoto University)
- : Shibayama Mamoru (Center for Southeast Asian Studies, Kyoto University)
- : Yonezawa Go (Graduate School for Creative Cities, Osaka City University)
- : Song Xianfeng (College of Resources and Environmental Sciences, Graduate University of Chinese Academy of Sciences)
Outline of Research
Soil erosion caused by deforestation and farming activities can change soil significantly within a short-term period, particularly in mountainous areas of Southeast Asia that have a heavy monsoon climate. It will be of great help for decision makers if they can understand soil changes and their dynamics both in time and space in the case of land use planning and water resource management. This research is focused on developing a framework for managing and sharing geospace, providing geo processing functionality to derive up-to-date information from Remote Sensing data for soil mapping, and execute spatial modeling algorithms to detect changes in soil dynamics. From the end users point-of-view, this system is an online framework, in which users can drive the system and produce a high quality soil map for a specific site by following a systematic geospatial processing workflow and feeding the system with the datasets that are acquired at present or the parameters that they are familiar with based on local knowledge.
The proposed system will consists of three parts. (1) The spatial databases that includes three categories – basic data, remote sensing data and in-situ measurements. (2) A geo processing engine to provide online image processing capabilities for parameterization of environmental factors related to soil change using remote sensing datasets, for example, detecting spatial and temporal variations in vegetation indices that have been found to be linked to prevailing climate, ecosystem, terrain and physical soil properties, estimating ground components (end members) through sub-pixel analysis with spectral mixture model, and mapping land cover through various image classifiers. (3) GIS is used to integrate geospatial database information derived from remote sensing and in-situ measurements for mapping soil dynamics using fuzzy logic based on the relationship between soil attributes, geomorphological and environmental conditions. The system will be tested with available geospatial data for Oudom area of Northern Laos, Luanping area of China and parts of the Red River basin in Vietnam. The SWAT (Soil and Water Assessment Tool) model will be used to predict the impact of land management practices on water, sediment and agricultural chemical yields in the above target areas.
DEM analysis using FOSS tools
Land cover analysis using remote sensing data