Sinking City: Multidimensional Datasets for Modelling the Sinking Jakarta

Project: Empowering Resilience in a Sinking CityLocation: DKI Jakarta, IndonesiaTime coverage: 2015–2024 (availability may vary)Data type: Multi-source geospatial datasets (vector, raster, and tabular) This repository compiles 5 spatial indicators related to land subsidence and urban morphology in DKI Jakarta. The data were produced as part of the British Academy-funded research project Empowering Resilience in a Sinking City and are intended to support analysis and policymaking around urban resilience. Each zipped folder contains geospatial files in standard formats (e.g., .shp, .tif, .csv). List of Datasets Data Temporal Scale Description Data Type Sources Land Subsidence 2016-2024 Land subsidence rates. Raster Copernicus NDVI and NDBI 2015-2024 Normalised Difference Vegetation Index (NDVI) maps showing green-covered areas and Normalised Difference Built-up Index (NDBI) maps highlighting urban areas. Raster Landsat Impervious Surface Area 2016-2024 Spatial layer showing the extent of impervious surfaces such as roads and buildings. Raster Sentinel-2 Proportion of Residential Area 2023 Proportion of land classified as residential at the RW (neighbourhood) level. Vector Google Open Buildings 2.5D Temporal Dataset The associated algorithms to generate these datasets are available at https://github.com/zarashabrina/Jakarta-Sinking-City.git