INTEGRATION OF GEOSPATIAL MODELS FOR OPTIMUM LAND USE ALLOCATION IN THREE DIFFERENT SCENARIOS
Keywords:
Geospatial model, optimum land use allocation, land use and land cover change, CLUE-S model, Upper Lam Pra Pleong watershedAbstract
The study of land use and land cover simulation using the integration of geospatial models is very important in various aspects, especially sustainable use with minimum environmental impact. The main objectives of the study were: 1) to assess historical and recent LULC and its changes; 2) to simulate 3 different LULC scenarios using the CLUE-S model; 3) to assess soil erosion, water yield, and economic value and their changes; and 4) to allocate the optimum land use for 3 different scenarios. The 4 main components of the research methodology implemented here included: 1) data collection and preparation; 2) LULC simulation of 3 different scenarios; 3) soil erosion, water yield, and economic value assessment and their changes; and 4) the optimum land use allocation of 3 different scenarios. From the results of the LULC assessment between 2003 to 2013, urban and built-up land, cassava, sugarcane, water body, and miscellaneous land had increased while maize, perennial tree/orchard, and forest land had decreased. The most common important driving factor for location preference of the LULC types was population density. The simulation of 3 LULC scenarios in 2023 by the CLUE-S model revealed that urban and built-up land, cassava, sugarcane, water body and miscellaneous land would increase while maize, perennial tree/orchard, and forest land would decrease under Scenario I (Historical land use evolution). At the same time, the increase in cassava and sugarcane under Scenario II (Energy crop extension) came from maize, forest land, and miscellaneous land while most of the increasing forest land under Scenario III (Forest conservation and prevention) was converted from maize, sugarcane, and miscellaneous land. The optimum land use allocation of the 3 scenarios indicated that most of the agricultural land and forest land of Scenario I was allocated into the moderate and high suitability classes, respectively. In the meantime, most of the cassava and sugarcane as energy crops of Scenario II were located in the low and moderate suitability classes and moderate and high suitability classes, respectively, while the forest land with restriction rules was located in the high suitability class. Under Scenario III, the forest land was allocated in the moderate and high suitability classes and the agricultural land was distributed throughout all the suitability classes.
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