Budi Prasetyo Nugroho

LULC of the Downstream Area of the Ronkong Dam and Future Land Use Predictions

This project encompasses the analysis of land use and land cover in the downstream area of the Ronkong Dam, as well as predictions of future land use. The aim of the project is to provide a better understanding of land use changes and to assist in more effective spatial planning.

Project Description:

The project utilizes historical data to analyze land use changes over time in the downstream area of the Ronkong Dam. This data includes satellite imagery, topographic maps, and other field data collected over the past decades. Using digital image processing techniques and spatial analysis, land use changes are identified and classified into various categories such as agriculture, residential areas, forests, and open land.

Objectives:

• Understanding Land Use Changes: Analyze historical data to comprehend trends in land use changes over recent decades.
• Predicting Future Land Use: Employ predictive models based on historical data to forecast future land use changes.
• Effective Spatial Planning: Provide recommendations for more effective and sustainable spatial planning based on the analysis and predictions.

Methodology:

• Data Collection: Gather multi-temporal satellite imagery, topographic maps, and field data. Collect historical land use data from government sources and research institutions.
• Data Processing: Utilize GIS software to process and analyze satellite imagery. Classify land use using machine learning techniques such as Random Forest and Support Vector Machine (SVM).
• Data Analysis and Predictions: Analyze land use changes using Change Detection methods. Identify factors driving land use changes. Develop predictive models using historical data and driving factors to forecast future land use changes. These predictions will help guide future land use planning and policy decisions.