参考文献/References:
[1] 周彦儒.热红外遥感技术在地热资源调查中的应用与潜力[J].国土资源遥感,1998,10(4):30-34. ZHOU Y R.The application of thermal infrared remote sensing techniques in geothermal surveying[J]. Remote Sensing for Land & Resources,1998,10(4):30-34.
[2] 边宇,杨永鹏,李萌,等.热红外遥感技术在地热资源调查中的应用[J].中国矿业,2021,30(S2):153-157. BIAN Y,YANG Y P,LI M, et al. Application of thermal infrared remote sensing techniques in geothermal resources surveying[J].China Mining Magazine,2021,30(S2):153-157.
[3] FREEK M, CHRISTOPH H, FRANK R,et al. Geologic remote sensing for geothermal exploration:a review[J].International Journal of Applied Earth Observation and Geoinformation,2014,33:255-269.
[4] 白宇,郑志忠,修连存,等.无人机高光谱遥感技术在自然资源调查中的应用进展[J].华东地质,2022,43(4):527-538. BAI Y,ZHENG Z Z,XIU L C, et al.UAV hyperspectral remote sensing technology and its application progress in natural resources survey [J]. East China Geology,2022,43(4):527-538.
[5] 许军强,白朝军,刘嘉宜.基于遥感技术的长白山火山区地热预测研究[J].国土资源遥感,2008,20(1):68-71. XU J Q,BAI C J,LIU J Y. Geothermal resouece prognosis based on remote sensing technology in Changbaishan vocanic area[J]. Remote Sensing for Land & Resources,2008,20(1):68-71.
[6] 杨波,吴德文,赖健清,等.遥感技术在腾冲西南地区地热资源研究预测中的应用[J].国土资源遥感,2003,15(2):23-26. YANG B,WU D W,LAI J Q, et al. The application of remote sensing technology to the study and forecast of terrestrial heat resources in southwestern Tengchong area Yunnan province [J]. Remote Sensing for Land & Resources,2003,15(2):23-26.
[7] WANG K, JIAN Q G, YU D H, et al. Detecting daytime and nighttime land surface temperature anomalies using thermal infrared remote sensing in Dandong geothermal prospect.[J].International Journal of Applied Earth Observation & Geoinformation,2019,80: 196-205
[8] XIONG Y, HE J X, MA N, et al. Land surface temperature retrieval based on thermal infrared remotely sensed data of aster(conference paper)[J].IOP Conference Series: Earth and Environmental Science,2019,300(2): 022027
[9] 任正情,方泓锦,王学平.热红外遥感技术在江西寻乌地区地热勘查中的应用[J].地质学刊,2021,45(3):277-282. REN Z Q,FANG H J,WANG X P. Application of thermal infrared remote sensing in exploration of geothermal resources in Xunwu area,Jiangxi Province [J]. Journal of Geology,2021,45(3):277-282.
[10] 杨俊颖,温夏伟,谭红兵.西藏尼木地区遥感数据地温反演与地热异常预测[J].地质论评,2021,67(6):1770-1779. YANG J Y,WEN X W,TAN H B. Land surface temperature using remote sensing data inversion and prediction of geothermal anomaly area in Nimu,Xizang(Tibet) [J].Geological Review,2021,67(6):1770-1779.
[11] SAIBI H, MIA M B, BIERRE M, et al. Application of remote sensing techniques to geothermal exploration at geothermal fields in the United Arab Emirates[J]. Arabian Journal of Geosciences,2021,14(13):1251.
[12] 闫佰忠,邱淑伟,肖长来,等.长白山玄武岩区地热异常区遥感识别[J].吉林大学学报(地球科学版),2017,47(6):1819-1828. YAN B Z,QIU S W,XIAO C L, et al. Potential geothermal field remote sensing identification in Changbai mountain basalt area[J].Journal of Jilin University(Earth Science Edition),2017,47(6):1819-1828.
[13] 姚金,李静荣,凌造.粤北地热资源遥感调查探测模式与应用[J].地球信息科学学报,2011,13(1):144-150. YAO J,LI J R,LING Z. Using remote sensing technique to investigate geothermal water in north of Guangdong Province, China[J]. Journal of Geo-information Science,2011,13(1):144-150.
[14] 熊永柱,陈峰,黄少鹏.基于遥感技术的腾冲地热异常区识别[J].成都理工大学学报(自然科学版),2016,43(1):109-118. XIONG Y Z,CHEN F,HUANG S P. Application of remote sensing technique to the identification of geothermal anomaly in Tengchong area,southwest China[J]. Journal of Chengdu University of Technology(Science & Technology Edition),2016,43(1):109-118.
[15] SARA M, ABUZIED, MONA F, et al. Multi-criteria decision support for geothermal resources exploration based on remote sensing, GIS and geophysical techniques along the Gulf of Suez coastal area, Egypt[J]. Geothermics,2020,88: 101893.
[16] DANI M, AGUNG S, AGUNG H. Revealing geothermal potential areas with remote sensing analysis for surface temperature and lineament density:case study in south Bajawa, NTT, Indonesia[J].IOP Conference Series:Earth and Environmental Science,2020,417(Conference 1):012009.
[17] 陈喆,董庆,陈建平,等.基于热红外遥感的川藏铁路昌都—林芝段地热异常区定量预测评价研究[J].遥感技术与应用,2021,36(3):1-11. CHEN Z,DONG Q,CHEN J P, et al. Research on quantitative prediction and evaluation of geothermal anomaly area in Qamdo-Nyingchi section of Sichuan-Tibet Railway [J]. Remote Sensing Technology and Application,2021,36(3):1-11.
[18] 辛磊,刘新星,张斌.遥感影像地表温度反演与地热资源预测——以石家庄地区为例[J].地质力学学报,2021,27(1):40-51. XIN L,LIU X X,ZHANG B. Land surface temperature retrieval and geothermal resources prediction by remote sensing image: A case study in the Shijiazhuang area,Hebei province [J]. Journal of Geomechanics,2021,27(1):40-51.
[19] 郝明,高彦彦,王青,等.证据理论融合多视角遥感信息的地热异常探测[J/OL].(2022-06-08). https://9.cglhub.com/detail_38502727e7500f26709d536cfa7c17918a06a6c888f023991921b0a3ea255101fc1cf1fbb4666ae6d8747e8ea5a004e616f04e7e5dfbf4d3d8df932c195333ed78cde4863682e360fa7e662bd7eb6d28?&apistrclassfy=0_14_3. HAO M,GAO Y Y,WANG Q, et al. Geothermal anomaly detection based on evidence theory integrating multi-view remote sensing information [J/OL]. (2022-06-08). https://9.cglhub.com/detail_38502727e7500f26709d536cfa7c17918a06a6c888f023991921b0a3ea255101fc1cf1fbb4666ae6d8747e8ea5a004e616f04e7e5dfbf4d3d8df932c195333ed78cde4863682e360fa7e662bd7eb6d28?&apistrclassfy=0_14_3.
[20] 江西省地质矿产勘查开发局. 江西省环境地质志[M]. 北京:地质出版社, 2017. Jiangxi Bureau of Geology & Mineral Exploration. Environmental geology of Jiangxi Province [M]. Beijing: Geological Publishing House, 2017.
[21] 刘伟,黄运翠瑶,范超.江西省宁都县陂下地热地质特征及资源评价[J].华东地质,2020,41(4):375-380. LIU W,HUANG Y C Y,FAN C. Geological characteristics and resource evalution of Pixia geotherm in Ningdu county,Jiangxi Province [J]. East China Geology,2020,41(4):375-380.
[22] 姜光政,高堋,饶松,等.中国大陆地区大地热流数据汇编(第四版)[J].地球物理学报,2016,59(8):2892-2910. JIANG G Z,GAO P,RAO S, et al. Compilation of heat flow date in the continental area of China (4th edition) [J].Chinese Journal of Geophysics,2016,59(8):2892-2910.
[23] 林乐夫,王安东,孙占学,等.江西省实测地表热流值及特征[J].能源研究与管理,2017(3):91-94. LIN L F,WANG A D,SUN Z X, et al. Surface heat flow values and characteristics, Jiangxi[J].Energy Research and Management,2017(3):91-94.
[24] 刘峰,王贵玲,张薇,等.江西宁都县北部大地热流特征及地热资源成因机制[J].地质通报,2020,39(12):1883-1890. LIU F,WANG G L,ZHANG W, et al. Terrestrial heat flow and geothermal genesis mechanism of geothermal resources in northern Ningdu County,Jiangxi Province[J]. Geological Bulletin of China,2020,39(12):1883-1890.
[25] 黄长生,侯保全,易秤云,等.赣南地热水形成条件分析与赣县区地热水勘查靶区圈定[J].华南地质,2021,37(1):64-74. HUANG C S,HOU B Q,YI C Y, et al. Discussion on the formation conditions of geothermal water in southern jiangxi province and the target area of geothermal water exploration in ganxian district[J]. South China Geology,2021,37(1):64-74.
[26] 赵平,汪集,汪缉安,等.中国东南地区岩石生热率分布特征[J].岩石学报,1995,11(3):292-305. ZHAO P,WANG J,WANG J A, et al. Characteristics of heat production distribution in SE China [J]. Acta Petrologica Sinica,1995,11(3):292-305.
[27] 翟锡丹.长白山地区地表温度异常遥感研究[D].长春:吉林大学,2015. ZHAI X D. ChangBai Mountain area surface temperature anomaly of remote sensing research [D]. Changchun: Jilin University,2015.
[28] 王宏,范英霞,李晓青.基于遥感技术的新疆大南湖一带地区矿化蚀变信息提取[J].测绘与空间地理信息,2018,41(10):24-26. WANG H,FAN Y X,LI X Q. Extraction of mineralized alteration information in the area of Xinjiang Dananhu based on remote sensing technology [J]. Geomatics & Spatial Information Technology,2018,41(10):24-26.
[29] 王烜,雷广新,江洋.基于主成分分析法对遥感蚀变异常提取——以内蒙古伊和诺尔地区1∶5万矿调为例[J].地质与资源,2014,23(S1):122-128. WANG X,LEI G X,JIANG Y. Extraction of alteration anomalies from remote sensing data based on principal component analysis:a case study of the 1∶50000 mineral geological survey in Yihenuoer area, Inner Mongolia [J]. Geology and Resources,2014,23(S1):122-128.
[30] 朱骏. 植被干扰区蚀变信息遥感提取方法研究[D].杭州:浙江大学,2012. ZHU J. A study on remote sensing alteration information extraction in vegetation area[D]. Hangzhou: Zhejiang University,2012.
[31] 罗浩,王红,施长惠.黄河三角洲地区地下水埋深遥感反演[J].国土资源遥感,2013,25(3): 145-152. LUO H,WANG H,SHI C H. Retrieving groundwater in Yellow River delta area using remote sensing [J]. Remote Sensing for Land & Resources,2013,25(3): 145-152.
[32] 杨树聪,沈彦俊,郭英,等.基于表观热惯量的土壤水分监测[J].中国生态农业学报, 2011,19(5): 1157-1161. YANG S C,SHEN Y J,GUO Y, et al. Monitoring soil moisture by apparent thermal inertia method [J]. Chinese Journal of Eco-Agriculture, 2011,19(5): 1157-1161.
[33] 赵鑫,王萍,马力.基于遥感数据的矿区土壤湿度信息提取及影响因素分析[J].中国科技论文,2019,14(9): 991-997. ZHAO X,WANG P,MA L. Exraction of soil moisture information based on remote sensing date and analysis of influencing factors[J]. China Sciencepaper,2019,14(9): 991-997.
[34] 孔辉,孙增慧,石磊,等.在ArcGIS软件下利用DEM数据提取流域水系网[J].数字技术与应用,2018,36(9):76-78. KONG H,SUN Z H,SHI L, et al. Extracting watershed network from DEM data under arcgis software [J].Digital Technology & Apllication,2018,36(9):76-78.
[35] 罗大游,温兴平,沈攀,等.基于DEM的水系提取及集水阈值确定方法研究[J].水土保持通报,2017,37(4):189-194. LUO D Y,WEN X P,SHEN P, et al. Information extraction of river networks and determination of drainage area threshoud using DEM date[J]. Bulletin of Soil and Water Conservation,2017,37(4):189-194.
[36] 吴恩政.基于GIS的证据权法在矿产资源评价中的应用——以内蒙古白音希勒地区为例[D].北京:中国地质大学(北京),2014. WU E Z. Application of weights-of-evidence method based on GIS on copper and gold mineral resources assessment——a case of Baiyinxile Inner Mongolia [D]. Beijing: China University of Geosciences (Beijing),2014.
[37] 方捷,张晓东,张定源,等.基于证据权法的安徽东溪金矿大比例尺成矿预测与评价[J].华东地质,2017,38(1):37-44. FANG J,ZHANG X D,ZHANG D Y, et al. Prediction and evalution of large scale metallogeny in the Dongxi gold deposit of Anhui Province based on the weights of evidence methodology[J]. East China Geology,2017,38(1):37-44.
[38] 刘亚洲,申维.基于GIS的证据权法在铁力—二股地区铅锌多金属矿床预测中的应用[J].地质与勘探,2018,54(1):59-68. LIU Y Z,SHEN W. Application of the evidence-weight method based on GIS to the prediction of the lead-zinc polymetallic deposit in the Tieli—Ergu area [J]. Geology and Exploration,2018,54(1):59-68.
[39] 王勇,陈邦国.找矿信息量法在铜山铜矿成矿预测中的应用[J].地质与勘探,2002,38(3):49-51. WANG Y,CHEN B G.The application of prospecting-information contents in metallogenic prognosis at Tongshan copper deposit[J]. Geology and Exploration,2002,38(3):49-51.
[40] 游远航,杨建中,胡明,等.找矿信息量法在成矿预测中的应用——以武当西缘铅锌铜矿预测为例[J].地质找矿论丛,2006,21(1):58-62. YOU Y H,YANG J Z,HU M, et al. Application of prospecting-information contents method for metallogenic prediction:a case study on prediction of lead-zinc-copper deposit in western Wudang area [J]. Contributions to Geology and Mineral Resources Research,2006,21(1):58-62.
[41] 浦路平,朱国器,尹意求,等.与找矿信息量法结合的含矿网格单元蒙特卡洛矿产资源潜力评价方法的原理及应用[J].矿产与地质,2016,30(3):491-496. PU L P,ZHU G Q,YIN Y Q, et al. Principles and application of ore-bearing-grid-cell-based monte-carlo method for mineral resource potential assessment combined with prospecting information method[J]. Mineral Resource and Geology,2016,30(3):491-496.
[42] 娄德波,肖克炎,丁建华,等.矿产资源评价系统(MRAS)在全国矿产资源潜力评价中的应用[J].地质通报,2010,29(11):1677-1684. LOU D B,XIAO K Y,DING J H, et al. Application of MRAS in national mineral resource potential assessment[J]. Geological Bulletin of China,2010,29(11):1677-1684.
[43] 陈芳,杜建国,许卫,等.基于MRAS的特征分析法在霍邱式沉积变质型铁矿预测中的应用[J].矿床地质,2010,29(S1):733-734. CHEN F,DU J G,XU W, et al. Application of MRAS-based feature analysis in prediction of Huoqiu sedimentary metamorphic iron deposits [J]. Mineral Deposits,2010,29(S1):733-734.
[44] 吴传军,许德如,周迎春,等.基于特征分析法的琼南矽卡岩型矿床成矿预测研究[J].大地构造与成矿学,2015,39(3):528-541. WU C J,XU D R,ZHOU Y C, et al. Metallogenic prognosis for skarn-type deposits based on characteristic analysis in southern Hainan island [J]. Geotectonica et Metallogenia,2015,39(3):528-541.
[45] 李建明.基于证据权重法对中国地热的预测研究[D].长春:吉林大学,2012. LI J M.Geothermal prediction and research of China based on the method of evidence weight[D]. Changchun: Jilin University,2012.
[46] 陈喆.川藏铁路沿线及邻区地热异常区定量预测评价研究[D].北京:中国地质大学(北京),2021. CHEN Z. Quantitative prediction and evaluation of geothermal anomaly area along Sichuan-Tibet railway and adjacent areas[D]. Beijing: China University of Geosciences (Beijing),2021.