Revealing Annual Crop Type Distribution and Spatiotemporal Changes in Northeast China Based on Google Earth Engine
文献类型：期刊论文
| 作者 | Liu, Yaqun1,2; Wang, Jieyong1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 14期号:16页码:19 |
| 关键词 | annual crop classification remote sensing multi-dimensional features recursive feature elimination random forest Google Earth Engine sustainable agriculture development |
| DOI | 10.3390/rs14164056 |
| 通讯作者 | Wang, Jieyong(wjy@igsnrr.ac.cn) |
| 英文摘要 | Northeast China (NEC) produces 1/4 of the grain and 1/3 of the commercial grain in China, and is essential for food security and a sustainable socio-ecological system development. However, long-term annual crop type distribution in this vital area remains largely unknown, compromising the scientific basis for planting structure adjustment and sustainable agriculture management. To this end, we integrated 111-dimensional MOD09A1 features, feature optimization and random forest algorithms on the Google Earth Engine (GEE) platform to classify annual crop types in the NEC during 2000-2020, and adopted multi-source spatial data and geostatistical methods to reveal anthropogenic and natural characteristics of crop type changes. The results demonstrated that sample-based classification accuracies were 84.73-86.93% and statistics-based R-2 were 0.81-0.95. From 2000-2020, the sowing area of maize and rice increased by 11.92 x 10(6) ha (111.05%) and 4.03 x 10(6) ha (149.28%), whereas that of soybean and other crops decreased by 13.73 x 10(6) ha (-64.10%) and 1.03 x 10(6) ha (-50.94%), respectively. Spatially, maize expanded northwestward, rice expanded northeastward, and soybean demonstrated a south-north shrinkage. The soybean-to-maize shift was the main conversion type, and its area largely reduced from 8.68 x 10(6) ha in 2000-2010 to 4.15 x 10(6) ha in 2010-2020. Economic comparative benefit and climate change jointly affected crop types in NEC. Higher-benefits maize and rice were mainly planted in more convenient areas with more population and closer to settlements, roads and waterways. The planting of maize and rice required higher temperature and precipitation, and climate change in the NEC provided favorable conditions for their expansion toward high-latitude areas. The crop type changes in the NEC have boosted economic benefits, but increased water-carbon-energy costs. Thus, effective measures such as subsidy policies, ecological compensation, and knowledge-exchange should be implemented to aid crop type and rotation adjustment and ensure food-ecological security. |
| WOS关键词 | LAND-USE CHANGES ; PADDY RICE ; ZHANGYE CITY ; EXPANSION ; AGRICULTURE ; PLANTATIONS ; FARMLAND ; PLAINS ; REGION ; COVER |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28130400] ; National Natural Science Foundation of China[41931293] ; National Natural Science Foundation of China[42171266] ; China Postdoctoral Science Foundation[2021M700143] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000845282100001 |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/182080]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Jieyong |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Yaqun,Wang, Jieyong. Revealing Annual Crop Type Distribution and Spatiotemporal Changes in Northeast China Based on Google Earth Engine[J]. REMOTE SENSING,2022,14(16):19. |
| APA | Liu, Yaqun,&Wang, Jieyong.(2022).Revealing Annual Crop Type Distribution and Spatiotemporal Changes in Northeast China Based on Google Earth Engine.REMOTE SENSING,14(16),19. |
| MLA | Liu, Yaqun,et al."Revealing Annual Crop Type Distribution and Spatiotemporal Changes in Northeast China Based on Google Earth Engine".REMOTE SENSING 14.16(2022):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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