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Technical progress of China’s national remote sensing mapping:from mapping western China to national dynamic mapping

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Geo-Spatial Information Science 2021年第1期24卷 121-133,I0013页

作者： Jixian Zhang Haiyan Gu Wei Hou Chunquan Cheng National Quality Inspection and Testing Center for Surveying and mapping Products State BeijingChina Chinese Academy of Surveying and mapping BeijingChina

remote sensing mapping is an important research direction in the development of geographic surveying and mapping.In order to successfully implement the project of mapping Western China(MWC),a technical mapping system has been established.In this project,many problems have been solved through technological innovation,such as block adjustment with scarce control points,large-scale aerial/satellite image mapping,and intelligent interpretation of multi-source images.Several softwares were developed,e.g.PixelGrid for aerial/satellite image mapping in a large area,FeatureStation for the integration of multi-source data in the complex terrain areas,and an airborne multi-band and multi-polarization interferometric data acquisition system for SAR mapping.For the first time,full coverage of 1:50,000 topographic data of China’s land territory has been produced,which means the geospatial framework of digital China is basically completed.With the implementation of other key national plans and projects(i.***.national geographic conditions monitoring and national remote sensing mapping),the focus has changed from MWC to national dynamic mapping.Accordingly,a dynamic mapping system is established.The data acquisition capability has developed from a single source to multiple sources and multiple modalities.The mapping capability has developed into dynamic mapping,and the capability for database update shows the characteristics of collaboration.The national geographic condition monitoring creates a multi-scale index system for statistical analysis for various needs.A multi-level and multi-dimensional technical system for statistical computing and decision-making service is developed for the transformation from dynamic monitoring to information service.In this paper,we give a brief introduction about the recent development of remote sensing mapping in China with respect to data acquisition,map production,and information service.The purpose of this paper is to motivate the establishment of theory and method for remote sensing mapping,

关键词： remote sensing mapping mapping western China national dynamic monitoring data acquisition image interpretation information service

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The Massive Expansion and Spatial Transformation of Potentially Contaminated Land Across China in 1990–2020 Observed from remote sensing and Big-data

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Chinese Geographical Science 2022年第5期32卷 776-791页

作者： DOU Yinyin GUO Changqing KUANG Wenhui CHI Wenfeng LEI Mei Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China School of Resources and Environmental Economics Inner Mongolia University of Finance and EconomicsHohhot 010017China

Identifying and monitoring the spatiotemporal patterns of potentially contaminated land(PCL) in China is a key concern of ecological governance. However, the dynamics of PCL’s expansion remain unclear nationwide. Integrating high-resolution remote sensing images, a land-use/cover change database, crawler data from websites, and other multisource data, we produced a new dataset of China’s PCL in 1990, 2000, 2010, and 2020 using data fusion technology. Then we analyzed the spatiotemporal patterns of China’s PCL from 1990 to 2020. Our study shows that the acquired vector dataset of China’s PCL is of high quality and reliability, with an overall accuracy of 93.21%. The area of China’s PCL has kept growing for the past 30 years, and the growth rate was especially rapid during2000–2010, 2.32 and 6.13 times as rapid as that during 1990–2000 and 2010–2020, respectively. PCL has also been trending toward higher aggregation over markedly enlarged areas and has transferred progressively from north and southeast of China to northwest and southwest of China and Qinghai-Tibet Plateau. The patterns of China’s PCL have been driven by the joint factors of policies, mineral resources, economy, and others, among which policies and the economy have contributed more prominently to the long-term transition.Our study promotes the access to high-quality spatial data of PCL to facilitate environmental governance of mine wastes, pollution and land management.

关键词： potentially contaminated land(PCL) remote sensing mapping mining area ecological risk environmental governance

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Images Fusing in remote sensing mapping

Images Fusing in Remote Sensing Mapping

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2001 International Conferences on Info-tech and Info-net

作者： Qiming Qin Daping Liu Haitao Liu Institute of remote sensing and GIS Peking University

＜正＞The remote sensing images fusing is a method,which integrates multiform image data sets into a new data set by geometry matching,color transformation and other ways.During mapping the LiJiang county in YunNan province with high-resolution remote sensing image,we found that it is a good way to utilize the technique of image fusing,which includes image matching, image interpolation,edge enhancement,and imagery updating,to improve the mapping quality.After iterative experiments, we explored a new way to update and fuse based on TM image,SPOT panchromatic image and the air photos. In the fused image,various RS images information can supplement each other,so the fused image not only have abundant spectrum information,but also reserve high spatial resolution.It proves that imagery fusion is an important way to improve represent ability on map of imagery.

关键词： imagery fusing remote sensing mapping high-resolution remote sensing image

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Global cultivated land mapping at 30 m spatial resolution

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Science China Earth Sciences 2016年第12期59卷 2275-2284页

作者： CAO Xin CHEN XueHong ZHANG WeiWei LIAO AnPing CHEN LiJun CHEN ZhiGang CHEN Jin State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University National Geomatics Center of China College of Geomatics Anhui University of Science and Technology

Cultivated land is one of the most important types of land cover in the global mapping of land cover, and its variation influences economic development, food security, and ecological environment protection. Existing products of global cultivated land mapping have a low resolution, and high spatial resolution products are in demand. This study uses global remote sensing image datasets in 2000/2010 with a spatial resolution of 30 m(Landsat TM/ETM+, HJ-1), MODIS 250 m NDVI time-serial data, and many types of reference data. An three-layer extraction method based on pixels, objects, and knowledge(POK) was adopted to ease cultivated land extraction in global-scale 30 m images, i.e., cultivated land classification based on pixel-scale multi-feature optimization, cultivated land automatic identification based on objects, and interactive object processing based on information service and priori knowledge. Global 30 m cultivated land mapping was accomplished for the two reference years(2000 and 2010), and statistical analysis was conducted on the data. Results showed that the total cultivated land area was 1.903 billion ha and 1.960 billion ha, respectively. Accuracy assessments showed that overall accuracy of global cultivated land mapping are higher than 92% for both the two reference years. The global cultivated land products in 2000/2010 developed in this research are superior to their international counterparts in terms of spatial resolution and classification accuracy. They also provide significant basic data on global food security, ecological environment supervision, and global change.

关键词： Cultivated land global 30 m resolution remote sensing mapping NDVI time series

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