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Continuous Discontinuous Irrigated Areas in China Dataset (CDIA) (2000-2022)

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posted on 2025-02-06, 01:51 authored by Xin TianXin Tian, Jianzhi Dong, Jianhong Zhou, Haoran Zhou, Dexing Zhao, Xi Chen, Shuangyan Jin, Yaxin Zhang, Lingna Wei

The Continuous Discontinuous Irrigated Areas in China dataset (CDIA) provides information on irrigated areas in China from 2000 to 2022. This dataset was generated using a novel sampling strategy, based on categorical triple collocation-based merger (CTCM) algorithm. It provides annual IA maps over China using 1688 area-specific random forest models. with remotely sensed data (e.g., vegetation indices, climate factors, and terrain factor), and government censored data (GCD) as ancillary inputs.

Key Features:

Temporal Coverage: 2000-2022

Spatial Resolution: 500 meters

Data Sources: Remotely sensed data, government censored data (GCD), and random forest model

Spatial Reference System: EPSG:4326 (WGS-1984)

File Type: TIFF:

Data Description:

This dataset depicts the spatial distribution of irrigated areas in China from 2000 to 2022. It provides insights into the dynamics of irrigation practices across different regions of China. Users can explore the temporal and spatial patterns of irrigated areas and conduct analyses to understand IA changes over time

Usage:

Researchers and policymakers can use this dataset for various purposes, including:

Monitoring temporal changes of irrigated areas over China

Assessing the effectiveness of irrigation management policies

Understanding the impact of climate change on irrigation practices

Integrating irrigation data into land use planning and agricultural development strategies

Conducting predictive modeling of irrigation demand or optimizing irrigation scheduling

License:

The CDIA dataset is made available under CC BY-NC 4.0 license. Users are encouraged to cite the dataset appropriately when used in publications or research projects.

Funding

National Natural Science Foundation of China (Grant No. U21A2004)

National Natural Science Foundation of China (Grant No. 52179021)

Tianjin University Graduate Outstanding Innovation Award Program for the year 2023 (Project No. B2-2023-010)

History