Monitoring irrigated dryland in China from 2000 to 2015 by integrating time series vegetation indices and environmental factors
Irrigated dryland in China, largely distributed and expanding in arid and semi-arid regions, always poses challenges to water resource and ecosystems, thus deeply impacts the implementation of SDG 2, 6, 15 and so on. Spatial-temporal patterns of irrigated dryland with high resolution help pinpoint h...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225002353 |
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| Summary: | Irrigated dryland in China, largely distributed and expanding in arid and semi-arid regions, always poses challenges to water resource and ecosystems, thus deeply impacts the implementation of SDG 2, 6, 15 and so on. Spatial-temporal patterns of irrigated dryland with high resolution help pinpoint hotspots and key issues worth to concern, however, are still lacking in research. This study developed a zonal-specific methodology to identify irrigated dryland and its changes from 2000 to 2015 at national scale with 30 m resolution. The whole China was divided into five zones based on cropping patterns. Key phases of remote sensing data and environmental factors were combined to generate zonal-specific methodologies for the identification of irrigated dryland. Meanwhile changes of features were employed to identify changes of irrigated dryland. Results show that the ratio of vegetation indices to environmental factors exhibits stronger stability in the classification of each zone. That being said, these of slope and texture varied from zone to zone. Moreover, using difference data between two periods for change information extraction demonstrated high accuracy. This method not only avoids the error accumulation caused by overlaying the direct classification results of two periods but also addresses the issue of insufficient classification accuracy due to the shortage of samples and data in historical periods. The average overall accuracy (the kappa coefficient) on generated maps of irrigated dryland in 2000 and 2015 are 88.28% (0.758) and 87.65% (0.744). The irrigated dryland had been increased by 8.84% from 2000 to 2015 and their distribution became denser and shifted towards north of China. With the advancement of economy and technology, the influence of human factors on the distribution of irrigated drylands has gradually intensified. The stable development of irrigated drylands ensures China’s food security and contributes to global food security. Meanwhile, it poses significant challenges to water resources and the ecological environment. This research developed methodologies to obtain accurate irrigated dryland data and its change information, supporting to identify the interaction between SDG 2, SDG 6, and SDG 15, especially in arid and semi-arid regions with vulnerable ecosystem in the world. |
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| ISSN: | 1569-8432 |