Delineating the rice crop activities in Northeast China through regional parametric synthesis using satellite remote sensing time-series data from 2000 to 2015
Accurate rice area extraction and yield simulations are important for understanding how national agricultural policies and environmental issues affect regional spatial changes in rice farming. In this study, an improved regional parametric syntheses approach, that is, the rice zoning adaptability cr...
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KeAi Communications Co., Ltd.
2021-02-01
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| 叢編: | Journal of Integrative Agriculture |
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| 在線閱讀: | http://www.sciencedirect.com/science/article/pii/S209531192063458X |
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| author | Dan CAO Jian-zhong FENG Lin-yan BAI Lan XUN Hai-tao JING Jin-ke SUN Jia-hua ZHANG |
| author_facet | Dan CAO Jian-zhong FENG Lin-yan BAI Lan XUN Hai-tao JING Jin-ke SUN Jia-hua ZHANG |
| author_sort | Dan CAO |
| collection | DOAJ |
| description | Accurate rice area extraction and yield simulations are important for understanding how national agricultural policies and environmental issues affect regional spatial changes in rice farming. In this study, an improved regional parametric syntheses approach, that is, the rice zoning adaptability criteria and dynamic harvest index (RZAC-DHI), was established, which can effectively simulate the rice cultivation area and yield at the municipal level. The RZAC was used to extract the rice area using Moderate Resolution Imaging Spectroradiometer time-series data and phenological information. The DHI was calculated independently, and then yield was obtained based on the DHI and net primary productivity (NPP). Based on the above results, we analyzed the spatial–temporal patterns of the rice cultivation area and yield in Northeast China (NEC) during 2000–2015. The results revealed that the methods established in this study can effectively support the yearly mapping of the rice area and yield in NEC, the average precisions of which exceed 90 and 80%, respectively. The rice planting areas are mainly located on the Sanjiang, Songnen and Liaohe plains, China, which are distributed along the Songhua and Liaohe rivers. The rice cultivation area and yield in this region increased significantly from 2000 to 2015, with increases of nearly 58 and 90%, respectively. The rice crop area and yield increased the fastest in Heilongjiang Province, China, whereas small changes occurred in Jilin and Liaoning provinces, China. Their gravity centers exhibited evident northward and eastward shifts, with offset distances of 107 and 358 km, respectively. Moreover, Heilongjiang Province has gradually become the new main rice production region. The methodologies used in this study provide a valuable reference for other related studies, and the spatial-temporal variation characteristics of the rice activities have raised new attention as to how these shifts affect national food security and resource allocation. |
| format | Article |
| id | doaj-art-ef8e2579875649cdae32be68c99bd4d2 |
| institution | Matheson Library |
| issn | 2095-3119 |
| language | English |
| publishDate | 2021-02-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj-art-ef8e2579875649cdae32be68c99bd4d22025-08-02T22:58:43ZengKeAi Communications Co., Ltd.Journal of Integrative Agriculture2095-31192021-02-01202424437Delineating the rice crop activities in Northeast China through regional parametric synthesis using satellite remote sensing time-series data from 2000 to 2015Dan CAO0Jian-zhong FENG1Lin-yan BAI2Lan XUN3Hai-tao JING4Jin-ke SUN5Jia-hua ZHANG6Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, P.R.China; University of Chinese Academy of Sciences, Beijing 100094, P.R.ChinaAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, P.R.China; University of Chinese Academy of Sciences, Beijing 100094, P.R.China; Correspondence BAI Lin-yanKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, P.R.China; University of Chinese Academy of Sciences, Beijing 100094, P.R.ChinaSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, P.R.ChinaSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, P.R.ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, P.R.China; University of Chinese Academy of Sciences, Beijing 100094, P.R.ChinaAccurate rice area extraction and yield simulations are important for understanding how national agricultural policies and environmental issues affect regional spatial changes in rice farming. In this study, an improved regional parametric syntheses approach, that is, the rice zoning adaptability criteria and dynamic harvest index (RZAC-DHI), was established, which can effectively simulate the rice cultivation area and yield at the municipal level. The RZAC was used to extract the rice area using Moderate Resolution Imaging Spectroradiometer time-series data and phenological information. The DHI was calculated independently, and then yield was obtained based on the DHI and net primary productivity (NPP). Based on the above results, we analyzed the spatial–temporal patterns of the rice cultivation area and yield in Northeast China (NEC) during 2000–2015. The results revealed that the methods established in this study can effectively support the yearly mapping of the rice area and yield in NEC, the average precisions of which exceed 90 and 80%, respectively. The rice planting areas are mainly located on the Sanjiang, Songnen and Liaohe plains, China, which are distributed along the Songhua and Liaohe rivers. The rice cultivation area and yield in this region increased significantly from 2000 to 2015, with increases of nearly 58 and 90%, respectively. The rice crop area and yield increased the fastest in Heilongjiang Province, China, whereas small changes occurred in Jilin and Liaoning provinces, China. Their gravity centers exhibited evident northward and eastward shifts, with offset distances of 107 and 358 km, respectively. Moreover, Heilongjiang Province has gradually become the new main rice production region. The methodologies used in this study provide a valuable reference for other related studies, and the spatial-temporal variation characteristics of the rice activities have raised new attention as to how these shifts affect national food security and resource allocation.http://www.sciencedirect.com/science/article/pii/S209531192063458XRZACdynamic HIrice cultivation areayieldspatial-temporal change |
| spellingShingle | Dan CAO Jian-zhong FENG Lin-yan BAI Lan XUN Hai-tao JING Jin-ke SUN Jia-hua ZHANG Delineating the rice crop activities in Northeast China through regional parametric synthesis using satellite remote sensing time-series data from 2000 to 2015 Journal of Integrative Agriculture RZAC dynamic HI rice cultivation area yield spatial-temporal change |
| title | Delineating the rice crop activities in Northeast China through regional parametric synthesis using satellite remote sensing time-series data from 2000 to 2015 |
| title_full | Delineating the rice crop activities in Northeast China through regional parametric synthesis using satellite remote sensing time-series data from 2000 to 2015 |
| title_fullStr | Delineating the rice crop activities in Northeast China through regional parametric synthesis using satellite remote sensing time-series data from 2000 to 2015 |
| title_full_unstemmed | Delineating the rice crop activities in Northeast China through regional parametric synthesis using satellite remote sensing time-series data from 2000 to 2015 |
| title_short | Delineating the rice crop activities in Northeast China through regional parametric synthesis using satellite remote sensing time-series data from 2000 to 2015 |
| title_sort | delineating the rice crop activities in northeast china through regional parametric synthesis using satellite remote sensing time series data from 2000 to 2015 |
| topic | RZAC dynamic HI rice cultivation area yield spatial-temporal change |
| url | http://www.sciencedirect.com/science/article/pii/S209531192063458X |
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