USING REMOTE SENSING AND GIS TO ANALYZE LULC CHANGE FOR ITS IMPACT ON ES
The major objectives of this study are to: 1) Combine supervised classification and visual interpretation to classify and map the historical vs. current LULC changes; 2) Use post-classification comparisons to determine LULC change patterns over a 24-year period; 3) Quantify the economic value of ES changes across LULC changes in terms of US dollars; and 4) Gain a better understanding on how LULC changes impact the provisioning of ES, as well as provide evidence for policy makers to make sound decisions on resource management.
Methods: 1. Analyze LULC change pattern and statistics; 2. Calculate net amount of each ecosystem service change; 3. Display each ecosystem service on an individual map.
Results & Discussions: 1. The gain and loss in specific LULC classes present a serious problem in the delivery of ES; 2.The major driver for LULC change pattern in Butler is due to rapid urbanization and rural exploration; 3. Trade-offs was seen among four ES. 4. Cropland and urban areas could not reliably provide ES; 5. Understanding the drivers of changes in LULC and subsequently in ES is essential.