Key technical problems on quality inspection of the land cover achievement of the natural resources survey and monitoring

doi:10.13474/j.cnki.11-2246.2022.0017

Abstract

Abstract: As an important spatial data in the unified natural resources survey and monitoring system, the land cover achievement will play a fundamental supporting role for all kinds of natural resource survey and monitoring projects. Hence, data quality of the land cover achievement will be related to the correctness and reliability for the statistics, analysis and evaluation results of various natural resources. According to the practice of quality control of major survey and mapping projects, to ensure the quality of the final achievement, it is important to formulate scientific, reasonable and unified quality evaluation criterion for the achievement, and conducts comprehensive, efficient and accurate data quality inspection on the achievement. This paper analyzes current situation of quality inspection and evaluation for the land cover achievement in some typical ongoing natural resources survey and monitoring projects, such as the geographical conditions monitoring project and the national land survey. Furthermore, this paper discusses uses quantitative index evaluation method for the quality evaluation criterion, using latest intelligent remote sensing image information extraction technologies for quality inspection of the classification accuracy, and uses latest remote and enhanced field verification method for the field quality inspection of the land cover achievement, which can provide technical references for quality control of the unified natural resources survey and monitoring.

Key words: land cover achievement, natural resources survey and monitoring, geographical conditions monitoring, land survey, quality evaluation, quality inspection

CLC Number:

CHEN Haipeng, ZHANG Li, LI Miao, XIE Wenjun, QIU Bo. Key technical problems on quality inspection of the land cover achievement of the natural resources survey and monitoring[J]. Bulletin of Surveying and Mapping, 2022, 0(1): 96-99.

References

[1] 自然资源部.自然资源调查监测体系构建总体方案[EB/OL].2020-01-17[2020-04-15].http://www.gov.cn:8080/zhengce/zhengceku/2020-01/18/content_5470398.htm.
[2] 陈军,陈晋,廖安平,等. 全球30m地表覆盖遥感制图的总体技术[J]. 测绘学报,2014,43(6):551-557.
[3] 李维森.地理国情监测与测绘地理信息事业的转型升级[J].地理信息世界,2013,20(5):11-14.
[4] 刘稳,詹庆明,司瑶,等. 地理国情数据与国土调查数据的衔接对比研究[J].测绘科学,2020,45(9):132-140.
[5] 张继贤,赵有松,罗伏军,等. 地理国情普查质量控制体系构建及效果分析[J]. 测绘通报,2017(7):72-75.
[6] 陈海鹏,张莉,赵有松,等. 地表覆盖分类成果的质检方法与实践[J]. 测绘科学,2018,43(9):58-62.
[7] 陈海鹏. 地理国情监测中地表覆盖分类成果的质量检查与评价[C]//自然资源部人事司.测绘地理信息青年学术和技术带头人报告文集2017.北京:测绘出版社,2018:35-39.
[8] 自然资源部. 第三次全国国土调查技术规程:TD/T 1055-2019[S]. 北京:地质出版社, 2019.
[9] 国务院第三次全国国土调查领导小组办公室. 第三次全国国土调查成果国家级核查方案[EB/OL].2019-03-02[2020-11-15].http://www.gov.cn/xinwen/2019-03/02/content_5369928.htm.
[10] 陈海鹏,张莉,郭婧,等. 地表覆盖分类数据成果质量检查技术与方法[J].测绘与空间地理信息,2018,41(7):72-74.
[11] 中国国家标准化管理委员会. 数字测绘成果质量检查与验收:GB/T 18316-2008[S]. 北京:中国标准出版社, 2008.
[12] 邓国庆,肖学年,马晓萍,等. 数字测绘成果质量评定模型及方法的研究[J]. 测绘标准化,2008,24(1):1-6.
[13] 睢海刚,冯文卿,李文卓,等. 多时相遥感影像变化检测方法综述[J]. 武汉大学学报(信息科学版),2018,43(12):1885-1898.
[14] 刘建军,陈军,张俊,等. 智能化时代下的地理信息动态监测[J].武汉大学学报(信息科学版),2019,44(1):92-96.

[1]	LIU Li, DONG Xianmin, LIU Juan, WEN Xuehu. A new method of remote sensing interpretation production based on integration of human-machine and intelligence [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 118-123,137.
[2]	HAN Wenli, ZHANG Jixian, CHEN Haipeng, HUANG Haiying, ZHANG Libo, GE Juan, SHEN Jing, LU Yao. Discussion on quality inspection technology for new fundamental surveying and mapping [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 148-153.
[3]	CHEN Genliang. Quality evaluation method of wetland resources:a case study the international important wetlands of East Dongting Lake in Hunan province [J]. Bulletin of Surveying and Mapping, 2022, 0(3): 28-31,82.
[4]	QIANG Xinlin, JIANG Sheng, WANG Ji, QIAN Chengyang, FANG Xuan. Surveying and mapping quality inspection system and demonstration for Z-5 unmanned helicopter aerial survey [J]. Bulletin of Surveying and Mapping, 2022, 0(2): 136-139.
[5]	WU Qinshu, ZHU Yuexia, ZHAO Zhuowen, ZHANG Shizhi. Analysis on regional spatial difference of railway transportation service: a case study of Jiangsu Provina [J]. Bulletin of Surveying and Mapping, 2021, 0(5): 116-119.
[6]	ZHANG Weiliang, LIU Qi, WU Changbin, YANG Guangdi. Annual change detection of land use status based on siamese neural network [J]. Bulletin of Surveying and Mapping, 2021, 0(3): 91-95,104.
[7]	LI Zhiyu, TAN Junhui. Map signs of land type analysis of common identification problems in the third national land survey [J]. Bulletin of Surveying and Mapping, 2021, 0(3): 147-151.
[8]	ZHANG Libo, ZHANG Jixian, HAN Wenli, GE Juan, SHEN Jing, LU Yao. On the quality inspection software system of surveying and mapping geographic information achievements under “five dimensional synergy” [J]. Bulletin of Surveying and Mapping, 2021, 0(2): 131-135,143.
[9]	ZHANG Shaoping, ZHAI Yongcong, WANG Liuzhao, MAO Mingkai. Feasibility of the vehicle laser measurement system in quality inspection [J]. Bulletin of Surveying and Mapping, 2021, 0(12): 110-114.
[10]	LI Hai, ZHOU Jin, YAN Qingqing, CHEN Chunxi. Consistency quality inspection methods of geographic conditions element data [J]. Bulletin of Surveying and Mapping, 2021, 0(12): 115-119.
[11]	CHEN Genliang, DONG Shengguang. Multi-feature collaborative extraction of canopy coverage in building area for geographical condition monitoring [J]. Bulletin of Surveying and Mapping, 2021, 0(10): 73-77.
[12]	XIE Wenjun, CHEN Haipeng, GUO Jing, CHEN Yuheng, PENG Kaidi, LÜ Linbing. Quality inspection for GlobeLand30 update data and common problems analysis [J]. Bulletin of Surveying and Mapping, 2020, 0(9): 114-118.
[13]	LI Guohua. Making slope map of the third national land survey based on high-precision DEM of 2 m grid cloud data [J]. Bulletin of Surveying and Mapping, 2020, 0(8): 117-121.
[14]	WANG Xiaoyan. Quality evaluation of generalization of linear features in land use map [J]. Bulletin of Surveying and Mapping, 2020, 0(4): 116-120.
[15]	ZHANG Liren, FENG Ran, QI Zhonghua, LI Deyuan. Research on natural resources based on the third national land survey [J]. Bulletin of Surveying and Mapping, 2020, 0(4): 130-133,138.