Data Analytics for Land-Use Processes
Observations of land-use processes are constantly made through the use of sensors in the sky and on the ground. The advent of social media as well as online platforms also provide a host of data sources which can be used to study land-use processes. Previously, we used publicly available satellite imagery in Google Earth Engine to map oil palm plantations in Aceh and the eastern coast of Sumatra. Using big data analysis, we are evaluating the drivers of fire activity at a global scale using the Global Fire Emissions Database (this work is led by Maple Wu) and exploring the use of online market platforms to map land prices in rural Indonesia (this work is developed together with Alejandro Coronado and OLX Indonesia).