National Geographic Conditions Research Articles

RESEARCH ON EFFICIENT INDEXING OF LARGE-SCALE GEOSPATIAL DATA BASED ON MULTI-LEVEL GEOGRAPHIC GRID

Abstract. With the implementation of unified natural resource management in China, national geographic conditions monitoring data have been identified as fundamental data for natural resource survey and monitoring. The efficiency of information extraction from massive spatio-temporal data to support natural resource management has emerged as a critical indicator for maximizing the value of geographic conditions monitoring data and enhancing data-driven decision management. Traditional spatial indices are computationally intensive, and when confronted with immense data volume or uneven data scale, issues such as extensive index computations and poor scale adaptability arise, impeding the efficient retrieval of complex geospatial data. In response to the need for efficient indexing of massive geospatial monitoring data at a scale of 100 million, a multi-level geographic spatial index framework based on geographic grids is proposed. Within the geographic conditions spatio-temporal database, a three-level spatial index of "zone-grid-space" is constructed, utilizing massive land cover data for analysis and testing. The results demonstrate that the multi-level spatial index method exhibits excellent scale adaptability, and grid coding dimensionality reduction and numerical operations effectively reduce the computational load of spatial retrievals of complex vector patches. This method significantly improves the retrieval efficiency of large-scale national geographic conditions data, providing an efficient technique for lightweight information extraction of large-scale monitoring geospatial data within spatial computing systems. The method holds reference value for on-demand retrieval, analysis, and decision-making of natural resource spatio-temporal big data.

ANALYSIS OF QUALITY REVIEW OF LAND COVER CLASSIFICATION PRODUCT IN GEOGRAPHIC NATIONAL CONDITIONS MONITORING

Abstract. To the land cover classification product of geographic national conditions monitoring, how to scientifically and objectively inspect and evaluate the results is a problem that if quality review can play a key role in quality control. Based on the characteristics of the land cover classification product, it was carried out a quality inspection for important quality elements and key contents on the basis of quality acceptance to ensure the consistency and compliance of the national results. This paper put forward the content and method of review. The results over the years since the review showed that the classification accuracy was not only a difficulty but also a short board in quality control. Through summarizing the main problems of the land cover classification product found in the review, the causes were analyzed, and suggestions were put forward for production.

CALCULATING AND ANALYZING OF ECOSYSTEM SERVICE VALUE WITH BIG DATA BASED ON HIGH RESOLUTION LAND COVER INFORMATION

Abstract. With the development of economics and society, the degradation of natural resources and environment is aggravated globally. The values of ecological environment and ecosystem service have been paid more and more attention popularly. However, the spatial-temporal changes in ecosystem service value (ESV) and their hotspots in China are not well understood. Chinese government has integrated the construction of ecological civilization into all aspects and processes of economic construction, political construction, culture construction and social construction, and clearly puts forward that we should establish the concept of natural value and natural capital, also natural ecosystem is valuable. During 2012 to 2021, an important project of China's First National Geographic Conditions Census and Continuously Monitoring had been completed by Chinese government. In this project, high resolution land cover product all over the country had been generated, and would be updated continuously every year. This achievement had received more and more attention, which brought the possibility of big data computing. A calculating method of land’s ecosystem service value was proposed by using this achievement. The characters of data type, data time phase, and data structure for all the remote sensing information was analyzed. Based on this, a revised ecosystem service value assessment model was used for calculating. Combining the standard of terrestrial ecosystem in China and the equivalent value factor per unit ecosystem area, the specific calculating algorithm based on the big data was designed. Wuhan city, Hubei province, China was selected as the study area for validating the calculating method. The results showed that the total ecosystem service value in Wuhan city in 2015 was 9.42×1010 CNY, and the per capita ecosystem service value was 1.15×104 CNY. Specially, water supplied the most ecosystem service value which accounted for 79.95%, followed by forest, grassland, farmland, and desert. The research shows that high-precision quantification and spatialization ecosystem service value can be calculated and obtained by using the high resolution land cover product obtained in the project of China's First National Geographic Conditions Census and Continuously Monitoring; the independent research and development software has solved the problem of software requirements, and the operational efficiency and performance can meet the calculating needs; the big data calculating algorithm has solved the problems of design and computation of structured and unstructured big data computing models; The results of this study will help to maintain the sustainable development of an area, and supporting more effective decision-making around the implementation of ecological conservation policies.

ANALYSIS ON PROCESS QUALITY CONTROL TECHNOLOGY OF GEOGRAPHICAL NATIONAL CONDITIONS MONITORING

Abstract. The process quality inspection of geographic national conditions monitoring is an important means of quality control, and it is essential to improve the effectiveness of its role. Starting from the influencing factors and inspection methods of process quality control, the key points are designed and the content of process quality control is proposed. Based on this, combined with the practical application in the 2016–2020 geographic national conditions monitoring project, the problems existing in the geographic national conditions monitoring process are summarized and analysed.

QUALITY ASSESSMENT OF LAND COVER CLASSIFICATION PRODUCTS BASED ON THE FUZZY–AHP SYNTHESIS MODEL

Abstract. As one of the critical products National Geographic Conditions Monitoring Achievements (NGCMA), land cover dataset has great value for the practical needs of China natural resources investigation and monitoring. For providing This paper proposed a fuzzy-AHP synthesis model, for assessing the quality of land cover classification products, based on the current qualifications of inspection and acceptance as well the characteristics of the inspection process of this type of results. The model is practiced on a data set that is the inspection results from 27 surveying areas in northern China. By comparing the results to the results from minimum method (MinM) and weighted average methods (WAM), this study pay attention on giving the analysing of the reasonability and feasibility of this model on practical uses and to provide a technical reference for quality evaluation of the new-type of fundamental surveying and mapping products.

CLASSIFICATION AND IDENTIFICATION OF ARTIFICIAL LAKES BASED ON NATIONAL GEOGRAPHIC-CONDITIONS DATA

Abstract. In recent years, the issue of violations or over-exploitation in artificial lake projects have attracted gradual concern. In the initial stage, in order to determine whether there are violations or over-exploitation in the artificial lake project, it is necessary to accurately identify the status of artificial lakes. Because of the relative lack of water resources along the Yellow River, issues such as the contradiction between supply and demand as well as the protection of ecological environment have become increasingly prominent. Besides, the situation of development of artificial lakes along the Yellow River has become serious, increasing the pressure of utilizing water resources along the Yellow River. Therefore, the identification of status of artificial lake is of great significance in ecological supervision of the Yellow River.Under this context, this paper takes the Yellow River as the research area. Based on the land cover data in the multi-temporal geographic national conditions, using spatial analysis, automatic identification and manual differentiation etc., to develop a rapid classification system of artificial lakes to classify the artificial lakes along the Yellow River, tracking and analyzing its annual changes, and finally establishing an artificial lake classification database and an artificial lake change database. Realizing the effective identification and supervision of changes in the artificial lake. Through experiments and analysis of existing data, this paper summarizes a set of indicators for determining the characteristics of artificial lakes, and proposes a set of effective artificial lake identification approaches. It provides an important basis for the follow-up supervision of artificial lake, and also establishes a basic framework for identifying other surface geographic-conditions, which has important theoretical and practical significance in the application of national geographic-conditions data.

A CALCULATION METHOD OF ECOSYSTEM SERVICE VALUE BASED ON PRODUCT OF NATIONAL GEOGRAPHIC CONDITIONS MONITORING IN CHINA

Abstract. By 2015, Chinese government had completed the project of China's First National Geographic Conditions Census. In this project, high resolution land cover product all over the country had been generated, and would be updated continuously every year. On the basis of this excellent data source, a big data calculating method of land’s ecosystem service value was proposed, in which many other remote sensing information were used too, such as EVI (Enhanced Vegetation Index), NPP (Net Primary Productivity), vegetation growing season data derived from MODIS product. It analyzed the characters of data type, data time phase, and data structure for all the remote sensing information, also the big data’s engendering background and process. A revised ecosystem service value assessment model was used for calculating. Combining the classification system of terrestrial ecosystem in China and the equivalent value factor per unit ecosystem area, the big data calculating algorithm was designed. Shiyan city, Hubei province, China was selected as the study area for validating the calculating method. The results showed that the total ecosystem service value in Shiyan city in 2015 was 1.97 × 1011 CNY, and the per capita ecosystem service value was 5.69 × 104 CNY. Specially, forest supplied the most ecosystem service value which accounted for 78.54 %, followed by water, grassland, farmland, and desert. The research shows that on the basis of multi-source of remote sensing information mainly the high resolution land cover product obtained in the project of China's First National Geographic Conditions Census, high-precision quantification and spatialization ecosystem service value can be calculated and obtained; multi scale spatial display of the calculating results could be achieved to meet different spatial scaling demands; the big data calculating algorithm has solved the problems of design and computation of structured and unstructured big data computing models; the independent research and development software has solved the problem of software requirements, and the operational efficiency and performance can meet the calculating needs.

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

ABSTRACT 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.e. 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, technical and equipment in the smart mapping era, to improve the capability of perceiving, analyzing, mining, and applying geographic data, and to promote the intelligent development of geographic surveying and mapping.

Assessment of the reasonable number of physicians in Korea

The government argues that the expansion of the number of physicians is inevitable due to the absolute lack of practising physicians in Korea compared to members of the Organisation for Economic Co-operation and Development. Further, the government contends that poor medical access and adverse effects on the national health level require such an expansion. This study aimed to verify whether the government’s claims regarding the lack of physician manpower are reasonable by estimating the projected supply and demand of physicians by 2023 based on scenarios involving their productivity and number of working days. As a result, all scenarios indicated a projected oversupply, except for the scenario in which there are 255 working days and physicians’ productivity is the same as that of 2018. Even in scenario three, in which there are 255 working days and physicians’ productivity is the same as that of 2018, an oversupply was projected from 2027. Standards regarding the number of physicians vary from country to country, as they are affected by various factors including medical systems, demographic structures, national health levels, medical infrastructures, accessibility, medical finance and geographical conditions. This issue can be seen as resulting from the unbalanced regional distribution of physicians rather than from an absolute shortage of the number of physicians. The trickle-down effect of expanding the medical student enrollment cannot solve the problem of the unbalanced regional distribution of physicians.

QUALITY ANALYSIS AND IMPROVEMENT OF FUNDAMENTAL GEOGRAPHIC NATIONAL CONDITIONS MONITORING RESULTS

Abstract. With the integration and unification of natural resources, the application fields and application levels of geographic national condition monitoring results have also expanded and improved, and the data quality requirements for national condition monitoring have become higher and higher, especially the results of fundamental geographic national conditions monitoring, the quality of the results is the basis of monitoring and the life of monitoring. Based on the recent practice in fundamental geographic national conditions monitoring, this paper summarizes the quality requirements of monitoring results, analyzes typical quality problems and quality influencing factors, and three measures for improving the quality of the results are proposed: one is a problem-oriented quality inspection method; the other is the key points of quality control in the fundamental national condition monitoring process; the third is the preliminary exploration of the application of big data in monitoring.

RESEARCH ON QUALITY IMPROVEMENT OF GLOBELAND30 UPDATE DATA

Abstract. GlobeLand30 update data is one of the important products of the Construction Maintenance and Update of Geographic Information Resources Project (hereinafter referred to as the Update Project). It provides important basic information for national geographical conditions monitoring, eco-environmental assessment and global geographic information integrated services. Different from the land cover classification data in National Geoinformation Surveying and Monitoring Project, GlobeLand30 update data is a completely new type of scientific research outcomes with new setup of resolution, its data format and data structure are newly set according to the requirements of the Update Project. Therefore, current inspecting methods are of limitations and incompatibility and cannot be firmly reasonable for inspecting the accuracy of GlobeLand30 update data. Combining with the practice of quality control for the Update Project, this paper proposes a set of methods and processes for the quality inspection of the GlobeLand30 update data. It also summarizes the key points of its inspection and analyses the common errors found in the actual inspection practice of the Update Project from 2017 to 2018. It can provide a certain technical reference for the quality control and quality improvement of GlobeLand30 update data in the Update Project.

Design of cooperative update mechanism of national geographic conditions monitoring and basic surveying and mapping

Abstract. National geographic conditions monitoring and basic surveying and mapping are two important tasks of the surveying and mapping department, and they are similar in production organization and technology realization. In the process of operation, both of them need to carry out internal collection, base map production, field verification and so on. It is operationally feasible to carry out cooperative production of national geographic conditions monitoring and basic surveying and mapping. From the perspective of technical process and method, both of them are carried out by combination internal and field work. Firstly, based on remote sensing images and thematic geographic data, the internal work will perform image interpretation and obtain staged results data. Then, the field verification will be carried out to make judgments and adjustments. Finally, the results of the field verification will be transferred back to the internal work, and the data will be further edited and organized in the internal work to obtain the final data.Basic surveying and mapping focuses on abstract representation of the real world, but lacks comprehensive integration of information and in-depth knowledge mining. National geographic condition monitoring focuses on the spatial distribution, characteristics and interrelations of natural and human geographical elements on the surface. There are many differences between basic surveying and mapping and national geographic conditions monitoring in the content and index of data collection, data stratification and element attribute. But basic surveying and mapping results are the basic data for national geographic conditions monitoring and national geographic conditions monitoring data is an important update data source for basic surveying and mapping.On the one hand, part of the geographic information can be updated on the basis of extracting relevant basic geographic information element data and attribute information, On the other hand, timely basic geographic information data can be used as the direct basis for the collection of geographic information.This paper designs the technical methods and workflow of the cooperative update mechanism based on the relevant technical documents of national geographic conditions monitoring and basic surveying and mapping. It will enable one-time acquisition of data needed for the national geographic conditions monitoring and basic surveying and mapping, "one-time collection, classification and utilization". It will save a lot of time and effort, reduce workload and improve productivity.

Estimation of the forest stand mean height and aboveground biomass in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery

Accurate mapping the forest stand mean height (FSMH) and aboveground biomass (AGB) with a high spatial resolution are important for monitoring carbon stocks on Earth and the variability and trends of terrestrial carbon fluxes. The recently launched Sentinel-1 (SAR) and Sentinel-2 (multispectral) missions offers a new opportunity to map FSMH and AGB. Here we present a methodological framework to map the FSMH and AGB at a resolution of 10 m in Yichun, Northeast China, by integrating field plots, Sentinel imagery, topographic data, and national geographical conditions monitoring data. First, a spatial continuous FSMH product was retrieved using an empirical model, which adopts the backscattering of SAR Sentinel-1B and the fraction of vegetation cover (FVC) variable from multispectral Sentinel-2A imagery. Subsequently, three AGB estimation models were developed for different forest types to link the field measurements to the FSMH, biophysical variables, spectral vegetation index, and topographic variables using the random forest algorithm. The mapping results show that the FSMH estimated using SAR backscatter values from VH polarization is more robust and accurate than that based on VV polarization. Furthermore, the three AGB estimation models based on three different forest types perform better than the model built by grouping all forest types together. The determination coefficient (R2) and root-mean-squared error (RMSE) range from 0.69 to 0.74 and 23.38 Mg/ha to 24.21 Mg/ha, respectively. Overall, our study demonstrates that the proposed methodological framework can be used to map the FSMH and AGB products at a high spatial resolution utilizing freely accessible Sentinel-1 SAR and Sentinel-2 multispectral imagery.

Use of an E2SFCA Method to Measure and Analyse Spatial Accessibility to Medical Services for Elderly People in Wuhan, China.

Current studies on measuring the accessibility of medical services for the elderly (AMSE) have ignored the potential competition among supply and demand and the distance decay laws. Hence, an enhanced two-step floating catchment area (E2SFCA) method (i.e., the road network-based Gaussian 2SFCA method) is proposed to calculate AMSE scores after considering different types of roads, including urban rail transit, freeways, major roads, minor roads and rural roads. Based on the first National Geographic Conditions Monitoring (NGCM) data, this study took Wuhan, China, as a case study and assessed the variation of AMSE using two different threshold times (i.e., Platinum Ten and Golden Hour). Next, global (i.e., sensitivity and hot spot analysis) and local analyses (i.e., three regional area internal comparisons) of AMSE scores were conducted to accurately identify details in the variation of spatial accessibility. It was observed that the E2SFCA method could be easily applied to measure AMSE. The results showed that 48.63% of the elderly population in Wuhan had a higher or the highest level of medical accessibility in “Platinum Ten”, while 72.97% had a higher or the highest level in the “Golden Hour”, and hot spots of AMSE scores were located in central urban areas and presented an enclosure structure using both threshold travel times, which could provide guidance to governments or planners on issues of spatial planning and identifying elderly medical services shortage areas.

From big data to big analysis: a perspective of geographical conditions monitoring

ABSTRACTThe idea of the geographical condition focuses on the analysis, study and description of the national condition from a geographical perspective. The first Census of National Geographical Conditions has now been completed in China. This census is the first phase in Geographical Conditions Monitoring (GCM). As a strategic direction for geographical information development in the era of big data, GCM is now facing the problem of how to use the massive amounts of geographical data to reflect the geographical conditions and to be the basis for the government to make or implement national development strategies and policies. Under this background, the concept of Geographical Conditions Monitoring Big Analysis (GCMBA) was proposed in this article. GCMBA can provide a new way to achieve the transformation from geographical data to geographical information and geographical conditions. In order to elaborate how to realise big analysis from the perspective of geographical conditions, the comprehensive analysis of regional natural ecological quality was taken as an example. The results showed that GCMBA was effective and useful in the transformation process of geographical data–geographical information–geographical conditions. Finally, this article presents some thoughts on conducting GCMBA.

THE MONITORING AND SPATIAL-TEMPORAL EVOLUTION CHARACTERISTIC ANALYSIS FOR LAND SUBSIDENCE IN BEIJING

Abstract. At present the land subsidence has been the main geological disaster in the plain area of China, and became one of the most serious disaster that restrict the social and economic sustainable development, it also is an important content in the project of national geographic conditions monitoring. With the development of economy and society, Beijing as the capital of China has experienced significant population growth in the last few decades which led to over-exploitation of the ground water to meet the water demand of more than 20 million inhabitants, especially in the urban region with high population density. However, the rainfall and surface runoff can’t satisfy the need of aquifer recharge that product the land subsidence. As China’s political center and a metropolis, there are a lot of large constructions, underground traffic projects and complicated municipal pipeline network, and Beijing is also an important traffic hub for national railway and highway network, all of them would be threatened by the land subsidence disaster. In this article the author used twenty ENVISAT Synthetic Aperture Radar (SAR) images acquired in 2008 June–2010 August and ten TerraSAR images acquired in 2011 June–2012 September were processed with Small Baseline Subset SAR Interferometry (SBAS-InSAR) techniques, to investigate spatial and temporal patterns of land subsidence in the urban area of Beijing.

STUDY ON BIG DATABASE CONSTRUCTION AND ITS APPLICATION OF SAMPLE DATA COLLECTED IN CHINA'S FIRST NATIONAL GEOGRAPHIC CONDITIONS CENSUS BASED ON REMOTE SENSING IMAGES

Abstract. In the project of China's First National Geographic Conditions Census, millions of sample data have been collected all over the country for interpreting land cover based on remote sensing images, the quantity of data files reaches more than 12,000,000 and has grown in the following project of National Geographic Conditions Monitoring. By now, using database such as Oracle for storing the big data is the most effective method. However, applicable method is more significant for sample data’s management and application. This paper studies a database construction method which is based on relational database with distributed file system. The vector data and file data are saved in different physical location. The key issues and solution method are discussed. Based on this, it studies the application method of sample data and analyzes some kinds of using cases, which could lay the foundation for sample data’s application. Particularly, sample data locating in Shaanxi province are selected for verifying the method. At the same time, it takes 10 first-level classes which defined in the land cover classification system for example, and analyzes the spatial distribution and density characteristics of all kinds of sample data. The results verify that the method of database construction which is based on relational database with distributed file system is very useful and applicative for sample data’s searching, analyzing and promoted application. Furthermore, sample data collected in the project of China's First National Geographic Conditions Census could be useful in the earth observation and land cover’s quality assessment.

ESTIMATING HOUSING VACANCY RATE IN QINGDAO CITY WITH NPP-VIIRS NIGHTTIME LIGHT AND GEOGRAPHICAL NATIONAL CONDITIONS MONITORING DATA

Abstract. Accompanying China's rapid urbanization in recent decades, especially in the new millennium, the housing problem has become one of the most important issues. The estimation and analysis of housing vacancy rate (HVR) can assist decision-making in solving this puzzle. It is particularly significant to government departments. This paper proposed a practical model for estimating the HVR in Qingdao city using NPP-VIIRS nighttime light composed data, Geographic National Conditions Monitoring data (GNCMD) and resident population distribution data. The main steps are: Firstly, pre-process the data, and finally forming a series of data sets with 500*500 grid as the basic unit; Secondly, select 400 grids of different types within the city as sample grids for SVM training, and establish a reasonable HVR model; Thirdly, using the model to estimate HVR in Qingdao and employing spatial statistical analysis methods to reveal the spatial differentiation pattern of HVR in this city; Finally test the accuracy of the model with two different methods. The results conclude that HVR in the southeastern coastal area of Qingdao city is relatively low and the low-low clusters distributed in patches. Simultaneously, in other regions it shows the tendency of the low value accumulation in the downtown area and the increasing trend towards the outer suburbs. Meanwhile the suburban and scenery regions by the side of the sea and mountains are likely to be the most vacant part of the city.

STUDY ON CLASSIFICATION ACCURACY INSPECTION OF LAND COVER DATA AIDED BY AUTOMATIC IMAGE CHANGE DETECTION TECHNOLOGY

Abstract. The purpose of carrying out national geographic conditions monitoring is to obtain information of surface changes caused by human social and economic activities, so that the geographic information can be used to offer better services for the government, enterprise and public. Land cover data contains detailed geographic conditions information, thus has been listed as one of the important achievements in the national geographic conditions monitoring project. At present, the main issue of the production of the land cover data is about how to improve the classification accuracy. For the land cover data quality inspection and acceptance, classification accuracy is also an important check point. So far, the classification accuracy inspection is mainly based on human-computer interaction or manual inspection in the project, which are time consuming and laborious. By harnessing the automatic high-resolution remote sensing image change detection technology based on the ERDAS IMAGINE platform, this paper carried out the classification accuracy inspection test of land cover data in the project, and presented a corresponding technical route, which includes data pre-processing, change detection, result output and information extraction. The result of the quality inspection test shows the effectiveness of the technical route, which can meet the inspection needs for the two typical errors, that is, missing and incorrect update error, and effectively reduces the work intensity of human-computer interaction inspection for quality inspectors, and also provides a technical reference for the data production and quality control of the land cover data.

DEVELOPMENT AND APPLICATION OF THE KEY TECHNOLOGIES FOR THE QUALITY CONTROL AND INSPECTION OF NATIONAL GEOGRAPHICAL CONDITIONS SURVEY PRODUCTS

Abstract. The First National Geographical Condition Survey is a predecessor task to dynamically master basic situations of the nature, ecology and human activities on the earth’s surface and it is the brand-new mapping geographic information engineering. In order to ensure comprehensive, real and accurate survey results and achieve the quality management target which the qualified rate is 100 % and the yield is more than 80 %, it is necessary to carry out the quality control and result inspection for national geographical conditions survey on a national scale. To ensure that achievement quality meets quality target requirements, this paper develops the key technology method of “five-in-one” quality control that is constituted by “quality control system of national geographical condition survey, quality inspection technology system, quality evaluation system, quality inspection information management system and national linked quality control institutions” by aiming at large scale, wide coverage range, more undertaking units, more management levels, technical updating, more production process and obvious regional differences in the national geographical condition survey and combining with novel achievement manifestation, complicated dependency, more special reference data, and large data size. This project fully considering the domestic and foreign related research results and production practice experience, combined with the technology development and the needs of the production, it stipulates the inspection methods and technical requirements of each stage in the quality inspection of the geographical condition survey results, and extends the traditional inspection and acceptance technology, and solves the key technologies that are badly needed in the first national geographic survey.