基于卫片执法数据的土地利用变化分析——以惠州市惠阳区为例

doi:10.19788/j.issn.2096-6369.230119

Abstract

Abstract:

the data of law enforcement of land satellite images can reflect the change of land use in a given region, and provide a basis for the optimal allocation of land resources and land management. In recent years, with the coming out and implementation of our country's satellite law enforcement policy, it makes the long-time sequence data set more available for a certain area. Based on the 2017-2021 data from Huiyang District, Huizhou, the paper analyzed land use change in the region. The study shows that in Huiyang District, land use in the 2021 has increased significantly from 2017 to 2017, with the proportion of land used for transportation, industrial and mining storage increasing. A certain amount of arable land is still occupied every year, the transportation land and industrial and mining storage land near Shenzhen Street, such as Danshui Street, Qiuchang Street, Xinwei, Meizhou Street and Zhenlong town, have obvious regional significance, and the spatial distribution of land use has obvious effect of gathering near depth. The paper suggests that the local government should strengthen the land use type optimization layout, the balanced development and the cultivated land protection work.

Key words: satellite law enforcement, land use, Huiyang District

LIU Huan, JIA Jiangang. Analysis of Land Use Change Based on Satellite Law Enforcement Data: Taking Huiyang District, Huizhou as An Example[J].Journal of Agricultural Big Data, 2023, 5(1): 108-115.

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References 11

[1]	王宁娜, 杨如军, 李双青, 等. 国产高分辨率卫星影像在省级国土监察中的应用研究[J]. 测绘与空间地理信息, 2018, 41(4): 80-83, 89.
	Wang N N, Yang R J, Li S, et al. Application of Chinese high- resolution remote sensing satellite image in land supervision[J]. Geomatics & Spatial Information Technology, 2018, 41(4): 80-83, 89.
[2]	中华人民共和国自然资源部. 自然资源部办公厅关于开展2020年卫片执法工作的通知. http://gi.mnr.gov.cn/202002/t20200226_2499850.html.
[3]	中华人民共和国自然资源部. 自然资源部办公厅关于开展2021年卫片执法工作的通知. http://gi.mnr.gov.cn/202103/t20210326_2618374.html.
[4]	中华人民共和国自然资源部. 自然资源部办公厅关于印发《土地卫片执法图斑合法性判定规则》的通知. http://gi.mnr.gov.cn/202112/t20211210_2711078.html.
[5]	白海江. 卫片数据视角下的土地利用研究——以日喀则市为例[J]. 西藏科技, 2020(7): 19-20,38.
	Bai H J. Land use research from the perspective of satellite image data—a case study of Xigaze city[J]. Tibet Science and Technology, 2020(7): 19-20,38.
[6]	徐馨裔, 刘志有, 董露, 等. 国土空间规划视角下产业结构与土地利用结构相互关系研究——以新疆乌鲁木齐市为例[J]. 生态经济, 2020, 36(4): 69-74.
	Xu X Y, Liu Z Y, Dong L, et al. Research on the mutual relationship between industrial structure and land utilization structure from the perspective of national land space planning—taking Urumqi of Xinjiang as an example[J]. Ecological Economy, 2020, 36(4): 69-74.
[7]	包卫兵, 徐培华. 年度土地卫片执法检查中的问题与建议[J]. 国土资源, 2013 (3): 54-55.
	Bao W B, Xu P H. Problems and suggestions in the annual land satellite image law enforcement inspection[J]. Land Resources, 2013 (3): 54-55.
[8]	岳秋丽, 严士清, 罗黎, 等. 基于遥感和统计分析的土地利用变化研究[J]. 河南理工大学学报, 2010, 29(2): 201-205.
	Yue Q L, Yan S Q, Luo L, et al. Land use change based on RS and statistic analysis[J]. Journal of Henan University of Technology, 2010, 29(2): 201-205.
[9]	刘桃菊, 蔡海生, 邵建英, 等. 鄱阳湖区的土地利用结构定量分析[J]. 江西农业大学学报, 2003(6): 934-938.
	Liu T J, Cai H S, Shao J Y, et al. Quantitative analysis of land use structure in Poyang Lake area[J]. Acta Agriculturae Universitatis Jiangxiensis, 2003(6): 934-938.
[10]	陈国平, 赵俊三, 李红波, 等. 滇中城市群土地利用空间结构差异性分析[J]. 河南理工大学学报(自然科学版), 2017, 36(2) : 68-74.
	Chen G P, Zhao J S, Li H B, et al. Analysis on the difference of land use spatial structure of urban agglomeration in Central Yunnan[J]. Journal of Henan University of Technology (natural science edition), 2017, 36(2): 68-74.
[11]	王馨艺, 王静文. 海淀区中关村海淀园中心区:北京城市商业用地布局的区位分析[J]. 北京规划建设, 2022 (1): 143-146.
	Wang X Y, Wang J W. Central area of Haidian Park, Zhongguancun, Haidian District: Location analysis of urban commercial land layout in Beijing[J]. Beijing Planning and Construction, 2022 (1): 143-146.

年份	宗数(宗)	面积S1 (hm²)	耕地占用面积S2 (hm²)	耕地占用面积占比 (S2/S1)
2017	950	8469.74	1353.79	15.98%
2018	1326	6235.89	1252.04	20.08%
2019	499	7359.95	944.40	12.83%
2020	1709	15 845.01	1519.62	9.59%
2021	1701	12 559.36	1400. 15	11.15%

镇街名称	交通运输用地	商服用地	公共管理与公共服务用地	住宅用地	其他土地	工矿仓储用地
淡水街道	1.2963	0.7930	1.1012	1.0297	1.8746	0.5071
良井镇	1.9675	0.2319	0.4540	0.5854	0.5398	0.9008
平潭镇	1.3130	0.3148	0.2831	0.5420	1.6757	1.0703
秋长街道	1. 1129	0.8592	0.4216	1.4962	0.6124	0.7818
三和街道	0.4453	0.8469	1.9995	1.2255	0.9068	1.1202
沙田镇	1.0571	0.6801	3.1441	1.0593	0.9009	0.7684
新圩镇	1.1364	1.4875	0.5441	0.5653	0.5019	1.3887
永湖镇	0.2830	1.7191	0.7269	0.5156	0.4973	1.2437
镇隆镇	0.4957	1.8037	0.7956	0.7729	1.1297	1.3948

Analysis of Land Use Change Based on Satellite Law Enforcement Data: Taking Huiyang District, Huizhou as An Example

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