Human Alterations of the Global Floodplains: 1992 to 2019 (version 1)

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

本研究发布了全球首个量化全球520个主要流域沿岸1500万平方千米泛滥平原受人类活动改造程度的数据集。本数据集基于1992至2019年共计27年的250米分辨率遥感土地利用变化综合分析构建而成。该数据集显示，1992至2019年的27年间，全球泛滥平原已丧失约60万平方千米：原本的自然森林、草原与湿地转变为46万平方千米的新增农业用地与14万平方千米的新增建成区。

为推动本数据集的最大化复用，研究团队同步开发了三款基于网页的半自动编程工具，并配套数据驱动教程与分步视听操作指南。

(1) 泛滥平原制图工具（Floodplain Mapping Tool）
- 基于网页的Python代码，可依托谷歌高性能计算资源在任意互联网浏览器中运行：https://colab.research.google.com/drive/1xQlARZXKPexmDInYV-EMoJ-HZxmFL-eW?usp=sharing
- 依托在线数据驱动地球科学教育平台开发并发布的配套教程：https://serc.carleton.edu/hydromodules/steps/246320.html
- 含分步操作指南的YouTube视频教程：https://youtu.be/TgMbkJdALig

(2) 土地利用变化工具（Land Use Change Tool）
- 基于网页的Python代码，可依托谷歌高性能计算资源在任意互联网浏览器中运行：https://colab.research.google.com/drive/1vmIaUCkL66CoTv4rNRIWpJXYXp4TlAKd?usp=sharing
- 依托在线数据驱动地球科学教育平台开发并发布的配套教程：https://serc.carleton.edu/hydromodules/steps/241489.html
- 含分步操作指南的YouTube视频教程：https://youtu.be/wH0gif_y15A

(3) 人类活动改造评估工具（Human Alteration Tool）
- 基于网页的Python代码，可依托谷歌高性能计算资源在任意互联网浏览器中运行：https://colab.research.google.com/drive/1r2zNJNpd3aWSuDV2Kc792qSEjvDbFtBy?usp=sharing

注：本分析所用的泛滥平原数据集（GFPLAIN250m；Nardi等，2019）未覆盖沙漠与冰盖区域，因此北非、波斯湾、青藏高原以及北纬60度以北的区域均未纳入本次分析。

本全球泛滥平原改造数据集基于研究团队发表于《自然-科学数据》的最新成果构建：Rajib等（2021），《基于60年土地利用变化数据集揭示密西西比河流域泛滥平原的景观变迁》，https://doi.org/10.1038/s41597-021-01048-w