REMOTE SENSING FIRST: Service for the Technological Revolution and Innovation in Natural Resources Survey
LI Zhi-zhong1,2, MU Hua-yi1,2, LIU De-chang2,5, SUN Ping-ping1,2, DANG Fu-xing3, LIU Tuo1,2, JIA Jun1, WANG Jian-hua2,4, HAN Hai-hui1, MA Wei-feng2,6, TANG Xiao-jun2,7, LI Wen-ming1, ZHAO Jun1
1. Xi'an Center of China Geological Survey, Xi'an 710054, China; 2. Green Development Institute of Western China, CGS, Xi'an 710054, China; 3. Airborne Geophysical Prospecting and Remote Sensing Center for Natural Resources, CGS, Beijing 100083, China; 4. Aerospace Information Research Institute, CAS, Beijing 100101, China; 5. Beijing Institute of Uranium Geology, CNNC, Beijing 100029, China; 6. China University of Geosciences, Wuhan 430074, China; 7. School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China
Abstract:With the development of remote sensing(RS) technology and increasing demand for the application of RS in natural resources survey, RS is promoting the transformation of procedure and method in natural resources survey by means of prior-observation, prior-detection and prior-monitoring to enhance the acquisition of natural resources data and improve the accuracy and speed of survey. Based on the new changes of natural resources survey system in the new era, the paper puts forward the concept, goal and development direction of Remote Sensing First as follows:RS-first is an important part of the construction of natural resources survey and monitoring technology system, which can realize the total-factor, full-coverage, all-weather and full-scale survey and monitoring of natural resources; Through the innovation of RS technology and transformation/application of RS products, RS can play an important leading role in survey and monitoring of minerals, ecology, water, soil and disaster; The integrated satellite-aero-ground RS observation is the most effective technical means to promote the accurate and rapid survey of natural resources in western China, as well as monitoring of global-scale environmental problems.
李志忠, 穆华一, 刘德长, 孙萍萍, 党福星, 刘拓, 贾俊, 王建华, 韩海辉, 马维峰, 汤晓君, 李文明, 赵君. “遥感先行”服务自然资源调查技术变革与调整[J]. 地质与资源, 2021, 30(2): 153-160.
LI Zhi-zhong, MU Hua-yi, LIU De-chang, SUN Ping-ping, DANG Fu-xing, LIU Tuo, JIA Jun, WANG Jian-hua, HAN Hai-hui, MA Wei-feng, TANG Xiao-jun, LI Wen-ming, ZHAO Jun. REMOTE SENSING FIRST: Service for the Technological Revolution and Innovation in Natural Resources Survey. GEOLOGY AND RESOURCES, 2021, 30(2): 153-160.
安培浚, 张志强, 王立伟. 地球关键带的研究进展[J]. 地球科学进展, 2016, 31(12):1228-1234. An P J, Zhang Z Q, Wang L W. Review of earth critical zone research[J]. Advances in Earth Science, 2016, 31(12):1228-1234.
[2]
金谋顺, 高永宝, 李侃, 等. 伟晶岩型稀有金属矿的遥感找矿方法——以西昆仑大红柳滩地区为例[J]. 西北地质, 2019, 52(4):222-231. Jin M S, Gao Y B, Li K, et al. Remote sensing prospecting method for pegmatite type rare metal deposit-taking Dahongliutan area in western Kunlun for example[J]. Northwestern Geology, 2019, 52(4):222-231.
[3]
葛大庆. 地质灾害早期识别与监测预警中的综合遥感应用[J]. 城市与减灾, 2018(6):53-60. Ge D Q. The application of multi remote sensing technique on early warning and monitoring of landslides[J]. City and Disaster Reduction, 2018(6):53-60. (in Chinese)
[4]
许强. 对地质灾害隐患早期识别相关问题的认识与思考[J]. 武汉大学学报(信息科学版), 2020, 45(11):1651-1659. Xu Q. Understanding and consideration of related issues in early identification of potential geohazards[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11):1651-1659.
[5]
许强, 董秀军, 李为乐. 基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J]. 武汉大学学报(信息科学版), 2019, 44(7):957-966. Xu Q, Dong X J, Li W L. Integrated Space-Air-Ground early detection, monitoring and warning system for potential catastrophic geohazards[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7):957-966.
[6]
王立朝, 温铭生, 冯振, 等. 中国西藏金沙江白格滑坡灾害研究[J]. 中国地质灾害与防治学报, 2019, 30(1):1-9. Wang L C, Wen M S, Feng Z, et al. Researches on the Baige landslide at Jinshajiang River, Tibet, China[J]. The Chinese Journal of Geological Hazard and Control, 2019, 30(1):1-9.
[7]
陆会燕, 李为乐, 许强, 等. 光学遥感与InSAR结合的金沙江白格滑坡上下游滑坡隐患早期识别[J]. 武汉大学学报(信息科学版), 2019, 44(9):1342-1354. Lu H Y, Li W L, Xu Q, et al. Early detection of landslides in the upstream and downstream areas of the Baige landslide, the Jinsha river based on optical remote sensing and InSAR technologies[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9):1342-1354.
[8]
Zhang Y, Meng X M, Dijkstra T A, et al. Forecasting the magnitude of potential landslides based on InSAR techniques[J]. Remote Sensing of Environment, 2020, 241:111738.
[9]
张茂省, 贾俊, 王毅, 等. 基于人工智能(AI)的地质灾害防控体系建设[J]. 西北地质, 2019, 52(2):103-116. Zhang M S, Jia J, Wang Y, et al. Construction of geological disaster prevention and control system based on AI[J]. Northwestern Geology, 2019, 52(2):103-116.
[10]
翟富荣, 梁帅, 戴慧敏. 东北黑土地地球化学调查研究进展与展望[J]. 地质与资源, 2020, 29(6):503-509, 532. Zhai F R, Liang S, Dai H M. Geochemical survey of black land in Northeast China:progress and prospect[J]. Geology and Resources, 2020, 29(6):503-509, 532.
[11]
刘国栋, 杨泽, 戴慧敏, 等. 黑龙江省海伦市长发镇土地质量地球化学评价及开发建议[J]. 地质与资源, 2020, 29(6):533-542. Liu G D, Yang Z, Dai H M, et al. Geochemical evaluation of land quality and development suggestion of land in Hailun city, Heilongjiang province[J]. Geology and Resources, 2020, 29(6):533-542.
[12]
王建华, 陶培峰, 袁月, 等. PSR框架下的黑龙江省海伦市耕地质量评价[J]. 地质与资源, 2020, 29(6):525-532. Wang J H, Tao P F, Yuan Y, et al. PSR-based evaluation of the cultivated land quality in Hailun city of Heilongjiang province[J]. Geology and Resources, 2020, 29(6):525-532.
[13]
刘驰, 刘希瑶, 刘澎. 松辽平原典型黑土区有机质的变化及影响因素分析[J]. 地质与资源, 2020, 29(6):550-555. Liu C, Liu X Y, Liu P. Analysis on the changes of organic matters and their influencing factors of typical black soil areas in Songliao plain[J]. Geology and Resources, 2020, 29(6):550-555.
[14]
戴慧敏, 刘凯, 宋运红, 等. 东北地区黑土退化地球化学指示与退化强度[J]. 地质与资源, 2020, 29(6):510-517. Dai H M, Liu K, Song Y H, et al. Black soil degradation and intensity in Northeast China:geochemical indication[J]. Geology and Resources, 2020, 29(6):510-517.
[15]
Grooten M, Almond R E A. Living planet report-2018:aiming higher[R]. Gland, Switzerland:WWF, 2018.
[16]
侯增谦. 用战略思维推动基础研究[EB/OL]. http://www.iziran.net/shendu/20201015_128312.shtml,2020-10-15. Hou Z Q. Promoting basic research with strategic thinking[EB/OL]. http://www.iziran.net/shendu/20201015_128312.shtml,2020-10-15. (in Chinese)
[17]
王焰新. "同一健康"视角下医学地质学的创新发展[J]. 地球科学, 2020, 45(4):1093-1102. Wang Y X. Innovative development of medical geology:a one health perspective[J]. Earth Science, 2020, 45(4):1093-1102.