Detecting Spatiotemporal Differences in Cropland Abandonment and Reforestation Across the Three-North Region of China Based on Landsat Time Series
文献类型：期刊论文
| 作者 | Zhao, Xuan1; Wu, Taixia1; Wang, Shudong2; Liu, Kai3; Yang, Jingyu1 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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| 出版日期 | 2023 |
| 卷号 | 61页码:12 |
| ISSN号 | 0196-2892 |
| 关键词 | Automobiles Green products Earth Remote sensing Time series analysis Artificial satellites Forestry Change detection conversion of cropland to forests LandTrendr (LTR) normalized difference vegetation index (NDVI) phenological time series |
| DOI | 10.1109/TGRS.2023.3277491 |
| 通讯作者 | Wu, Taixia(wutx@hhu.edu.cn) |
| 英文摘要 | The Three-North region of China is an important ecological protection area. While the depopulation of rural areas and policy intervention has allowed cropland abandonment and reforestation (CAR), the spatial distribution and temporal differences underlying this landscape pattern have not been analyzed. CAR results in the gradual disappearance of the soil signal representing tilled or harvested crops, followed by a gradual increase in the interannual vegetation signal. This long-term gradual greening can be exploited to map the spatiotemporal distribution of CAR. In this study, Landsat-based detection of trends in disturbance and recovery (LandTrendr) was applied to the 1990-2020 Landsat-derived normalized difference vegetation index (NDVI) time series. The data were combined with a differential analysis of the phenological characteristics of the surveyed area to detect land-surface greening trends. The relationship with actual information on CAR was then determined. The results showed widespread long-term greening in the Three-North region, covering up to 80% of the region) during the annual growth (May-June) and harvest (September-October) periods. Together, these two periods indicated 7.5% of overall greening. The highest greening intensity was in areas where cropland had undergone conversion to forest, which strongly suggested CAR as the succession type. The average accuracy of CAR mapping was similar to 80% (a mapping accuracy of a greening intensity >0.4 was as high as 87%). This study demonstrates the utility of our method in studies of driving factors of CAR and ecological benefits of secondary forest restoration. |
| WOS关键词 | LOESS PLATEAU ; TEMPORAL SEGMENTATION ; FARMLAND ABANDONMENT ; FOREST DISTURBANCE ; INNER-MONGOLIA ; GREEN PROGRAM ; RIVER-BASIN ; NDVI ; RECULTIVATION ; TRENDS |
| 资助项目 | Carbon-Water Coupling Mechanism of Desertification in Ordos and Comprehensive Control Technology Demonstration[2022EEDSKJXM003] ; Inner Mongolia Autonomous Region Science and Technology Achievement Transformation Special Fund Project[2021CG0045] ; Specially Appointed Professor Program of Jiangsu Province and National Natural Science Foundation of China, China[42141007] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:001000693800006 |
| 资助机构 | Carbon-Water Coupling Mechanism of Desertification in Ordos and Comprehensive Control Technology Demonstration ; Inner Mongolia Autonomous Region Science and Technology Achievement Transformation Special Fund Project ; Specially Appointed Professor Program of Jiangsu Province and National Natural Science Foundation of China, China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/195142]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Taixia |
| 作者单位 | 1.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Jiangsu, Peoples R China 2.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Xuan,Wu, Taixia,Wang, Shudong,et al. Detecting Spatiotemporal Differences in Cropland Abandonment and Reforestation Across the Three-North Region of China Based on Landsat Time Series[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61:12. |
| APA | Zhao, Xuan,Wu, Taixia,Wang, Shudong,Liu, Kai,&Yang, Jingyu.(2023).Detecting Spatiotemporal Differences in Cropland Abandonment and Reforestation Across the Three-North Region of China Based on Landsat Time Series.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61,12. |
| MLA | Zhao, Xuan,et al."Detecting Spatiotemporal Differences in Cropland Abandonment and Reforestation Across the Three-North Region of China Based on Landsat Time Series".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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