An overview of applying high resolution remote sensing to natural resources survey
Ling CHEN1, Jia JIA2, Haiqing WANG1
1.China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China 2.Henan College of Surveying and Mapping, Zhengzhou 451464, China
With the launch of high-resolution satellites, their applications in geological survey become more prominent. Based on the introduction of various kinds of high resolution data which include high spatial resolution satellite remote sensing, high temporal resolution satellite remote sensing, high spectral resolution satellite remote sensing and high radiation resolution satellite remote sensing, this paper gives a review of the application of optical high resolution images to geological survey, mainly in the aspects of dynamic monitoring of land use, basic geological and resources survey, mineral resources development and ecological monitoring, ecological environment investigation, geological disaster and emergency investigation. It is found that high resolution remote sensing images have great potential in natural resources survey,and collaborative application of multi-source multi-scale high resolution remote sensing data will play an increasingly important role in natural resources survey in the future.
Filion R, Bernier M, Paniconi C , et al.Remote sensing for mapping soil moisture and drainage potential in semi-arid regions:Applications to the Campidano plain of Sardinia, Italy[J].Science of the Total Environment, 2016, 543, Part B: 862-876.
doi: 10.1016/j.scitotenv.2015.07.068
pmid: 26254021
Wang R S . On the development strategy of remote sensing technology in geology[J]. Remote Sensing for Land and Resources, 2008,20(1):1-12.doi: 10.6046/gtzyyg.2008.01.01.
Zhang D, Zheng Y Q . Hyperspectral remote sensing and its development and application review[J]. Optics and Precision Engineering, 2013,11(3):67-73.
[4]
Li M M, Stein A, Bijker W , et al. Urban land use extraction from very high resolution remote sensing imagery using a Bayesian network[J]. International Society for Photogrammetry and Remote Sensing Journal of Photogrammetry and Remote Sensing, 2016,122:192-205.
doi: 10.1016/j.isprsjprs.2016.10.007
[5]
Wu M Q, Huang W J, Niu Z , et al. Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas[J]. Computers and Electronics in Agriculture, 2017,139(Supplement C):1-9.
doi: 10.1016/j.compag.2017.05.003
[6]
Zhou Q B, Yu Q Y, Liu J , et al. Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring[J]. Journal of Integrative Agriculture, 2017,16(2):242-251.
doi: 10.1016/S2095-3119(16)61479-X
[7]
Zhang X L, Xiao P F, Feng X Z , et al. Separate segmentation of multi-temporal high-resolution remote sensing images for object-based change detection in urban area[J]. Remote Sensing of Environment, 2017,201(Supplement C):243-255.
doi: 10.1016/j.rse.2017.09.022
Sun Z H, Wu C B . Land dynamic monitoring system based on “One Land Map”[J].Bulletin of Survey and Mapping, 2012(6):22-24,100.
[9]
Asner G P, Heidebrecht K B . Imaging spectroscopy for desertification studies:Comparing AVIRIS and EO-1 Hyperion in Argentina drylands[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003,41(6):1283-1296.
doi: 10.1109/TGRS.2003.812903
[10]
Okin G S, Murray B, Schlesinger W H . Degradation of sandy arid shrubland environments:Observations, process modelling,and management implications[J]. Journal of Arid Environments, 2001,47(2):123-144.
doi: 10.1006/jare.2000.0711
Wang J, He T, Li Y H . Studying on extraction for land quality information based on hyperspectral data[J]. Journal of Remote Sensing, 2005,9(4):438-445.
Yang J Z, Nie H F, Jing Q Q . Preliminary analysis of mine geo-environment status and existing problems in China[J]. Remote Sensing for Land and Resources, 2017,29(2):1-7.doi: 10.6046/gtzyyg.2007.02.01.
Wu Y N, Dai J J, Zhou P . Research of rare earth minerals monitoring based on high resolution remote sensing[J]. Journal of the Chinese Society of Rare Earths, 2017,35(2):262-271.
Wang Y B, Luo W, Li M Y , et al. Mine development monitoring based on high-resolution remote sensing images[J]. Tropical Geography, 2011,31(4):377-382.
Chen S B, Xie M H, Lu P , et al. Restoration potential of abandoned soil at Dexing mine of Jiangxi Province based on Hyperion data[J]. Earth Science, 2015,40(8):1353-1358.
Li W L, Gan F P . Progress in hyperspectral research and monitoring in mine environment[J]. Remote Sensing for Land and Resources, 2016,28(2):1-7.doi: 10.6046/gtzyyg.2016.02.01.
[17]
Chen N H, Dong J J, Chen J Y , et al. Geometry and emplacement of the Late Cretaceous mafic dyke swarms on the islands in Zhejiang Province,Southeast China:Insights from high-resolution satellite images[J]. Journal of Asian Earth Sciences, 2014,79:302-311.
doi: 10.1016/j.jseaes.2013.10.001
Wang X P, Yang Z Q, Kang G F , et al. Application of WorldView-2 data to remote sensing geological survey in Tashkurgan Area at west Kunlun[J]. Contributions to Geology and Mineral Resources Research, 2014,29(3):428-432.
Ren G L, Yang J L, Yang M , et al. Application of hyperspectral remote sensing anomaly information on metallogenic prediction in the Jintanzi—Mingjingou area of Beishan,Gansu[J]. Geotectonica et Metaalogenia, 2013,37(4):765-776.
Wang R S, Xiong S Q, Nie H F , et al. Remote sensing technology and its application in geological exploration[J]. Acta Geological Sinica, 2011,85(11):1699-1743.
Hu P, Tian Q J, Yan B K . The application of hyperspectral remote sensing to the identification of hydrocarbon alteration minerals in Qaidam basin[J]. Remote Sensing for Land and Resources, 2009,21(2):54-61.doi: 10.6046/gtzyyg.2009.02.12.
[23]
Xu D Q, Ni G Q, Jiang L L , et al. Exploring for natural gas using reflectance spectra of surface soils[J]. Advances in Space Research, 2008,41(11):1800-1817.
doi: 10.1016/j.asr.2007.05.073
[24]
Willis K S . Remote sensing change detection for ecological monitoring in United States protected areas[J]. Biological Conservation, 2015,182:233-242.
doi: 10.1016/j.biocon.2014.12.006
Teng M J, Zeng L X, Xiao W F , et al. Research progress on remote sensing of ecological and environmental changes in the Three Gorges[J]. Chinese Journal of Applied Ecology, 2014,25(12):3683-3693.
Han Y, Qin W C, Wang Y Q . Study on the polarized reflectance hyperspectral characteristics and models of typical saline soil in the west of Jilin Province,China[J]. Spectroscopy and Spectral Analysis, 2014,34(6):1640-1644.
[27]
Chu T A, Guo X L, Takeda K . Remote sensing approach to detect post-fire vegetation regrowth in Siberian boreal larch forest[J]. Ecological Indicators, 2016,62:32-46.
doi: 10.1016/j.ecolind.2015.11.026
[28]
Garni R, Tran A, Guis H , et al. Remote sensing,land cover changes, and vector-borne diseases:Use of high spatial resolution satellite imagery to map the risk of occurrence of cutaneous leishmaniasis in Ghardaia,Algeria[J]. Infection,Genetics and Evolution, 2014,28:725-734.
doi: 10.1016/j.meegid.2014.09.036
pmid: 25305006
[29]
Jiang S, Wen B P, Zhao C , et al. Kinematics of a giant slow-moving landslide in Northwest China:Constraints from high resolution remote sensing imagery and GPS monitoring[J]. Journal of Asian Earth Sciences, 2016,123:34-46.
doi: 10.1016/j.jseaes.2016.03.019
Su F H, Liu H J, Han Y S . The extraction of mountain hazard induced by Wenchuan earthquake and analysis of its distributing characteristic[J]. Journal of Remote Sensing, 2008,12(6):956-963.
Zhu J, Tang C . An overview of remote sensing applications for landslides research in China[J]. Remote Sensing Technology and Application, 2012,27(3):458-464.
2019, Vol. 31 
