Published April 7, 2026 | Version v1
Dataset Open

Sinking City: Multidimensional Datasets for Modelling the Sinking Jakarta

Authors/Creators

  • 1. ROR icon King's College London
  • 2. EDMO icon University College London, Department of Geography
  • 3. Resilience Development Initiative
  • 4. EDMO icon King's College London Department of Geography

Description

Project: Empowering Resilience in a Sinking City
Location: DKI Jakarta, Indonesia
Time 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

Files

01 Land subsidence.zip

Files (148.3 MB)

Name Size Download all
md5:e2ed9e528247a8b1974980ad1273a957
67.7 MB Preview Download
md5:152f1bce39a1084afb6eefa433eaa2bf
33.1 MB Preview Download
md5:c4cb09b6ab845837eef5564ff53b5815
35.7 MB Preview Download
md5:30bc02651f6a7d6efc1664592f717923
4.3 MB Preview Download
md5:3091fd9acbc45b1814ab5c536d5d1b8b
7.5 MB Preview Download

Additional details

Funding

British Academy
British Academy ODA International Interdisciplinary Research Projects 2024 OIIRP230137

Dates

Available
2026-04-07

Software

Programming language
Python