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Surface Water Transitions 1984-2022: A Global Dataset at Annual Resolution

Surface Water Transitions 1984-2022: A Global Dataset at Annual Resolution
Surface Water Transitions 1984-2022: A Global Dataset at Annual Resolution
This dataset provides a comprehensive global analysis of surface water dynamics, mapping areas where water has advanced or receded and capturing the timing of these transitions at annual resolution. Using Landsat time series data from 1984 to 2022, this dataset tracks long-term changes in rivers, lakes, reservoirs, and other water bodies, offering critical insights into hydrological shifts driven by natural and anthropogenic factors. The dataset is structured to include: Water Transition Data – Raster files indicating areas of water advance and recession, along with the year in which these changes occurred. Statistical Summary (GeoJSON) – A spatial file containing aggregated statistics, including the magnitude and direction of water transitions for specific regions or water bodies. Code (TXT) – The Google Earth Engine (GEE) Javascript used to process Landsat imagery and generate the dataset. This dataset is intended for use by researchers, policymakers, water resource managers, and conservationists seeking to understand water dynamics on a global scale. It can support studies on river meandering, wetland monitoring, floodplain dynamics, and the impacts of climate change on surface water distribution. The Water Transition image consists of two bands: Band 1 (b1) represents water advance, while Band 2 (b2) represents water recession.
University of Southampton
Nagel, Gustavo Willy
802314b0-95c5-4c78-b250-0778913c0d9b
Nagel, Gustavo Willy
802314b0-95c5-4c78-b250-0778913c0d9b

Nagel, Gustavo Willy (2025) Surface Water Transitions 1984-2022: A Global Dataset at Annual Resolution. University of Southampton doi:10.5258/SOTON/D3792 [Dataset]

Record type: Dataset

Abstract

This dataset provides a comprehensive global analysis of surface water dynamics, mapping areas where water has advanced or receded and capturing the timing of these transitions at annual resolution. Using Landsat time series data from 1984 to 2022, this dataset tracks long-term changes in rivers, lakes, reservoirs, and other water bodies, offering critical insights into hydrological shifts driven by natural and anthropogenic factors. The dataset is structured to include: Water Transition Data – Raster files indicating areas of water advance and recession, along with the year in which these changes occurred. Statistical Summary (GeoJSON) – A spatial file containing aggregated statistics, including the magnitude and direction of water transitions for specific regions or water bodies. Code (TXT) – The Google Earth Engine (GEE) Javascript used to process Landsat imagery and generate the dataset. This dataset is intended for use by researchers, policymakers, water resource managers, and conservationists seeking to understand water dynamics on a global scale. It can support studies on river meandering, wetland monitoring, floodplain dynamics, and the impacts of climate change on surface water distribution. The Water Transition image consists of two bands: Band 1 (b1) represents water advance, while Band 2 (b2) represents water recession.

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28138643.zip - Dataset
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thesis_dataset_readme_D3792.txt - Text
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More information

Published date: 17 December 2025

Identifiers

Local EPrints ID: 508226
URI: http://eprints.soton.ac.uk/id/eprint/508226
PURE UUID: 9e0d120e-1043-40ad-9091-20cf6d130133
ORCID for Gustavo Willy Nagel: ORCID iD orcid.org/0000-0002-8060-0772

Catalogue record

Date deposited: 14 Jan 2026 18:07
Last modified: 15 Jan 2026 03:01

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