Research on Technical Methods for Quality Assurance of Natural Resources Survey and Monitoring Results

Abstract. This paper is based on the core task of comprehensively ensuring the quality of natural resources survey and monitoring results. Combining the team's research achievements over the years in unifying the quality management methods, processes, and requirements for survey and monitoring, as well as standardizing quality control methods, inspection technologies, and evaluation indicators, it strengthens quality management by continuously enhancing full-chain process quality inspections, strictly implementing result quality acceptance procedures, and continuously improving the technical capabilities for result quality control to ensure the quality of results. At the same time, focusing on the application in the quality control project of the dynamic full-coverage remote sensing monitoring project for land use, it summarizes and analyzes the designed full-chain process quality inspection contents, the formulated result quality inspection contents and evaluation indicators, as well as the development and application of the result quality inspection software. The results show that it can comprehensively ensure the authenticity, accuracy, and reliability of the results.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2025-11-26
DOI
https://doi.org/10.5194/isprs-archives-xlviii-4-w14-2025-39-2025
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Research on Technical Methods for Quality Assurance of Natural Resources Survey and Monitoring Results

Bingquan Yao, Shuai Dong, Chenni Lu, Chang Liu et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Remote Sensing and Land Use
article

Research on Technical Methods for Quality Assurance of Natural Resources Survey and Monitoring Results

Bingquan Yao, Shuai Dong, Chenni Lu, Chang Liu, Hai Li, Wenchao Gao
article en

Abstract

Abstract. This paper is based on the core task of comprehensively ensuring the quality of natural resources survey and monitoring results. Combining the team's research achievements over the years in unifying the quality management methods, processes, and requirements for survey and monitoring, as well as standardizing quality control methods, inspection technologies, and evaluation indicators, it strengthens quality management by continuously enhancing full-chain process quality inspections, strictly implementing result quality acceptance procedures, and continuously improving the technical capabilities for result quality control to ensure the quality of results. At the same time, focusing on the application in the quality control project of the dynamic full-coverage remote sensing monitoring project for land use, it summarizes and analyzes the designed full-chain process quality inspection contents, the formulated result quality inspection contents and evaluation indicators, as well as the development and application of the result quality inspection software. The results show that it can comprehensively ensure the authenticity, accuracy, and reliability of the results.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-4/W14-2025
National Quality Inspection and Testing Center for Surveying and Mapping Products (CN)
Openalex Percentile: Top 59%
Remote Sensing and Land Use
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Research on Technical Methods for Quality Assurance of Natural Resources Survey and Monitoring Results — Bingquan Yao, Shuai Dong, et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2025) | TGRS Research Map | TGRS