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| Type: | Resource | |
| Storage: | The size of this resource is 6.0 GB | |
| Created: | Nov 24, 2022 at 6:20 p.m. | |
| Last updated: | Mar 16, 2024 at 4:52 p.m. | |
| DOI: | 10.4211/hs.cdb5fd97e0644a14b22e58d05299f69b | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Feature Content Geographic Raster Content |
| Sharing Status: | Published |
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| Views: | 1320 |
| Downloads: | 180 |
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Abstract
Here we present the first-available global dataset that quantifies human alterations in 15 million sq km floodplains along the world’s 520 major river basins. We developed these data using a comprehensive 27-year (1992-2019) analysis of remotely sensed land use change at 250-m resolution. This new dataset reveals that the world has lost ~600,000 sq km floodplains in 27 years (1992-2019), moving from natural forest, grassland, and wetland conditions to 460,000 sq km of new agricultural and 140,000 sq km of new developed areas.
To ensure the maximum reuse of this dataset, we also developed three web-based semi-automatic programming tools partly supported with data-driven tutorials and step-by-step audiovisual instructions.
(1) Floodplain Mapping Tool
- Web-based Python code that runs in any internet browser using Google's high performance computing resource: https://colab.research.google.com/drive/1xQlARZXKPexmDInYV-EMoJ-HZxmFL-eW?usp=sharing
- A tutorial developed and published through an online data-driven geoscience education platform: https://serc.carleton.edu/hydromodules/steps/246320.html
- A YouTube video with step-by-step instructions: https://youtu.be/TgMbkJdALig
(2) Land Use Change Tool
- Web-based Python code that runs in any internet browser using Google's high performance computing resource: https://colab.research.google.com/drive/1vmIaUCkL66CoTv4rNRIWpJXYXp4TlAKd?usp=sharing
- A tutorial developed and published through an online data-driven geoscience education platform: https://serc.carleton.edu/hydromodules/steps/241489.html
- A YouTube video with step-by-step instructions: https://youtu.be/wH0gif_y15A
(3) Human Alteration Tool
- Web-based Python code that runs in any internet browser using Google's high performance computing resource: https://colab.research.google.com/drive/1r2zNJNpd3aWSuDV2Kc792qSEjvDbFtBy?usp=sharing
Note, the floodplain dataset used in this analysis (GFPLAIN250m; Nardi et al., 2019) does not cover deserts and ice-covered regions. Hence, places like northern Africa, Persian Gulf, Tibetan plateau, and the region above 60 degrees north latitude are not included in this analysis.
This global floodplain alteration dataset is built off our recent work published in the Nature Scientific Data: Rajib et al. (2021). The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset. https://doi.org/10.1038/s41597-021-01048-w
Subject Keywords
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Spatial
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Data Services
Related Resources
| The content of this resource is derived from | Nardi, F., Annis, A., Di Baldassarre, G., Vivoni, E. R. & Grimaldi, S. GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains. Nature Scientific Data 6, 180309 https://doi.org/10.1038/sdata.2018.309 (2019). |
| The content of this resource references | Rajib, A. et al. The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset. Nature Scientific Data 8, 271, https://doi.org/10.1038/s41597-021-01048-w (2021). |
| The content of this resource is derived from | European Space Agency. Climate Change Initiative (CCI) Land Cover products, http://maps.elie.ucl.ac.be/CCI/viewer/download.php (2022). |
| The content of this resource is derived from | Global Runoff Data Centre, GRDC. Major River Basins of the World, 2nd, rev. ext. ed. https://www.bafg.de/GRDC/EN/02_srvcs/22_gslrs/221_MRB/riverbasins.html?nn=201570 (2020). |
| This resource is described by | Rajib, A., Zheng, Q., Lane, C.R. et al. Human alterations of the global floodplains 1992–2019. Nature Scientific Data 10, https://doi.org/10.1038/s41597-023-02382-x (2023). |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation (NSF) | CyberTraining for Open Science in Climate, Water, and Environmental Sustainability | 2230093 |
| National Aeronautics and Space Administration (NASA) | Land Information System Enabling Predictions of Aquatic Health for Comprehensive Water Security Assessment | 80NSSC 22K1661 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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