Remote sensing extraction of geothermal anomaly based on terrain effect correction

Taoyong ZHOU; Zhenghai WANG; Haoyang QIN; Yaqi ZENG

doi:10.11834/jrs.20208299

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Remote sensing extraction of geothermal anomaly based on terrain effect correction
Vol. 24, Issue 3, Pages: 265-276(2020)
Received：27 July 2018，

Published：07 March 2020
DOI： 10.11834/jrs.20208299
稿件说明：

移动端阅览

周桃勇,王正海,秦昊洋,曾雅琦.2020.地形效应校正的遥感地热异常提取.遥感学报,24(3): 265-276 DOI： 10.11834/jrs.20208299.

Zhou T Y, Wang Z H, Qin H Y and Zeng Y Q. 2020. Remote sensing extraction of geothermal anomaly based on terrain effect correction. Journal of Remot Sensing (Chinese), 24(3): 265-276 DOI： 10.11834/jrs.20208299.

摘要

在山地复杂地形条件下，利用热红外遥感获得的地表温度分布显著受到地形的影响，真实的地热异常信息往往难以识别，热红外遥感应用于山区地热勘探受到极大限制。以广东龙川地热勘查区为研究区，初步探讨了山地环境中如何抑制地形效应，以有效提取地热异常。首先，基于Landsat ETM+遥感数据反演地表温度，分析坡向和坡度两个地形因子与地表温度的关系；然后，在此基础上，将研究区的地表温度按坡向分成3个子区(阳坡、过渡坡和阴坡)，根据阳坡地表温度与坡向的线性拟合关系将其校正到水平坡度上；最后，结合地质构造分布和地表覆被情况，在3个子区识别了4处地热异常，并与已知地热点进行比较验证。结果表明：坡向分区和阳坡坡度校正能够有效抑制地形效应，提高遥感地热异常识别精度，为山区地热资源的预测评价提供新思路。

Abstract

Geothermal exploration in mountain regions strongly relies on the successful identification of thermal anomaly in the regions

which can be performed through the extraction of geothermal anomaly information from thermal infrared remote sensing data. However

changes in Land Surface Temperature (LST) in mountain regions are significantly affected by topography in addition to other factors

such as latitude and surface property. This effect strongly weakens the efficient identification of geothermal anomaly over the LST image retrieved from thermal infrared remote sensing data

which consequently limit the application of remote sensing technique to geothermal resource exploration in mountain regions with rough terrain. This study examines the effects of terrain on LST changes in the mountain region of Longchuan in Southern China to establish an efficient approach

which can correct the effects of terrain on the LST changes for the geothermal exploration in the region.

LST was retrieved using mono-window algorithm based on Landsat ETM+ remote sensing data. The effects of terrain on LST distribution were then analysed. The statistical analysis showed a parabolic relationship between LST and aspect. Moreover

the southeast-facing slope had the highest average LST and standard deviation

where LST was significantly and positively correlated with slope gradient. To reduce the impact of terrain on LST distribution

the area was divided into sunny slope

shady slope and transitional slope. The LST in the sunny slope was particularly corrected to its horizontal surface equivalent by the linear regression equation between LST and slope gradient. Geothermal anomalies were then extracted from the LST of these three subareas

with the consideration of geologic structure and land cover.

Results showed that the spatial variation amplitude of LST evidently decreased because the significant temperature difference among different terrain conditions has become small in subareas. Four possible geothermal anomalies were recognised in which high temperature areas were closely related to faults and showed little variability in land cover. Comparative analysis with known hot springs indicated that they were likely caused by geothermal activities.

In conclusion

topography mainly affects LST spatial distribution by controlling incoming solar radiation. The solution of aspect-based partition and gradient correction presented in this article can also effectively reduce topographic effects. It helps improve the recognition accuracy of geothermal anomalies with remote sensing technology. The solution may also provide an enlightening insight into the forecast evaluation of geothermal resources in mountain regions. Moreover

further analyses of the relationship between LST and other factors controlled by terrain are necessary in future research

especially the physical properties of underlying surfaces

such as land use

soil moisture and vegetation.

关键词

Keywords

references

Bai J , Liu S M and Hu G . 2008 . Inversion and verification of land surface temperature with remote sensing TM/ETM ＋ data . Transactions of the Chinese Society of Agricultural Engineering , 24 ( 9 ): 148 - 154

白洁 , 刘绍民 , 扈光 . 2008 . 针对TM/ETM + 遥感数据的地表温度反演与验证 . 农业工程学报 , 24 ( 9 ): 148-154 [ DOI: 10.3321/j.issn:1002-6819.2008.09.030 http://dx.doi.org/10.3321/j.issn:1002-6819.2008.09.030 ]

Bertoldi G , Notarnicola C , Leitinger G , Endrizzi S , Zebisch M , Della Chiesa S and Tappeiner U . 2010 . Topographical and ecohydrological controls on land surface temperature in an alpine catchment . Ecohydrology , 3 ( 2 ): 189 - 204 [ DOI: 10.1002/eco.129 http://dx.doi.org/10.1002/eco.129 ]

Chen G X , Qu Z C and Diao Y Y . 1991 . Energy Resources of China . Beijing : Popular Science Press : 155 - 157

陈国新 , 瞿正昌 , 刁一云 . 1991 . 中国能源资源 . 北京 : 科学普及出版社 : 155 - 157

Cheng Y , Chen L F , Liu Q H , Zhang H and Gu H F . 2006 . The Soil Moisture Detection for Different Vegetation Coverage Based on the MODIS Data . Journal of Remote Sensing , 10 ( 5 ): 783 - 788

程宇 , 陈良富 , 柳钦火 , 张颢 , 顾行发 . 2006 . 基于MODIS数据对不同植被覆盖下土壤水分监测的可行性研究 . 遥感学报 , 10 ( 5 ): 783-788 [ DOI: 10.11834/jrs.200605116 http://dx.doi.org/10.11834/jrs.200605116 ]

Huang M F , Xing X F , Wang P J and Wang C Z . 2006 . Comparison between three different methods of retrieving surface temperature from Landsat TM thermal infrared band . Arid Land Geography , 29 ( 1 ): 132 - 137

黄妙芬 , 邢旭峰 , 王培娟 , 王昌佐 . 2006 . 利用LANDSAT/TM热红外通道反演地表温度的三种方法比较 . 干旱区地理 , 29 ( 1 ): 132-137 [ DOI: 10.3321/j.issn:1000-6060.2006.01.022 http://dx.doi.org/10.3321/j.issn:1000-6060.2006.01.022 ]

Jiao C W , Zhao M D , Tang G A , Liu X J and Li X Y . 2005 . Relationship between vegetation spatial pattern and terrain using GIS techniques-A Case Study in Yaoxian County of Shaanxi Province . Bulletin of Soil and Water Conservation , 25 ( 6 ): 19 - 23

焦超卫 , 赵牡丹 , 汤国安 , 刘学军 , 李晓印 . 2005 . 基于GIS的植被空间格局特征与地形因子的相关关系——以陕西省耀县为例 . 水土保持通报 , 25 ( 6 ): 19-23 [ DOI: 10.3969/j.issn.1000-288X.2005.06.005 http://dx.doi.org/10.3969/j.issn.1000-288X.2005.06.005 ]

Li S L , Duan S B , Tang B H , Wu H , Ren H Z , Yan G J , Tang R L and Leng P . 2016 . Review of methods for land surface temperature derived from thermal infrared remotely sensed data . Journal of Remote Sensing , 20 ( 5 ): 899 - 920

李召良 , 段四波 , 唐伯惠 , 吴骅 , 任华忠 , 阎广建 , 唐荣林 , 冷佩 . 2016 . 热红外地表温度遥感反演方法研究进展 . 遥感学报 , 20 ( 5 ): 899-920 [ DOI: 10.11834/jrs.20166192 http://dx.doi.org/10.11834/jrs.20166192 ]

Lu S L , Shen X H , Zou L J , Zhang G F , Wu W Y , Li C J and Mao Y J . 2008 . Remote sensing image enhancement method of the fault thermal information based on scale analysis: a case study of Jiangshan-Shaoxing fault between Jinhua and Quzhou of Zhejiang Province, China . Chinese Journal of Geophysics , 51 ( 5 ): 1484 - 1493

卢善龙 , 沈晓华 , 邹乐君 , 章桂芳 , 吴文渊 , 李长江 , 毛燕军 . 2008 . 基于尺度分析的断层热信息遥感图像增强方法——以江山—绍兴断裂金衢段为例 . 地球物理学报 , 51 ( 5 ): 1484-1493 [ DOI: 10.3321/j.issn:0001-5733.2008.05.022 http://dx.doi.org/10.3321/j.issn:0001-5733.2008.05.022 ]

Meng P Y , Xu Y J and Chen X . 2015 . Influence of topography on the woodland surface temperature retrieved from thermal infrared remote sensing data . Geography and Geo-Information Science , 31 ( 1 ): 32 - 36

孟鹏燕 , 徐元进 , 陈曦 . 2015 . 地形对热红外数据反演林地表面温度的影响 . 地理与地理信息科学 , 31 ( 1 ): 32-36 [ DOI: 10.3969/j.issn.1672-0504.2015.01.007 http://dx.doi.org/10.3969/j.issn.1672-0504.2015.01.007 ]

Meng X H , Lu S H , Zhang Y and Zhang T T . 2007 . MODIS-based reversion of atmospheric water vapor content over Jinta Oasis . Advances in Water Science , 18 ( 2 ): 264 - 269

孟宪红 , 吕世华 , 张宇 , 张堂堂 . 2007 . 基于MODIS数据的金塔绿洲上空大气水汽含量反演研究 . 水科学进展 , 18 ( 2 ): 264-269 [ DOI: 10.3321/j.issn:1001-6791.2007.02.019 http://dx.doi.org/10.3321/j.issn:1001-6791.2007.02.019 ]

Qi S H , Wang C Y and Niu Z . 2003 . Evaluating soil moisture status in china using the Temperature/Vegetation Dryness Index( TVDI ) . Journal of Remote Sensing , 7 ( 5 ): 420 - 427

齐述华 , 王长耀 , 牛铮 . 2003 . 利用温度植被旱情指数( TVDI )进行全国旱情监测研究 . 遥感学报 , 7 ( 5 ): 420-427 [ DOI: 10.11834/jrs.20030513 http://dx.doi.org/10.11834/jrs.20030513 ]

Qin Z H , Li W J , Xu B , Chen Z X and Liu J . 2004 . The estimation of land surface emissivity for Landsat TM6. Remote Sensing for Land and Resources, (3): 28- 32 , 36 , 41

覃志豪 , 李文娟 , 徐斌 , 陈仲新 , 刘佳 . 2004 . 陆地卫星TM6波段范围内地表比辐射率的估计. 国土资源遥感, (3): 28- 32 , 36 , 41 [ DOI: 10.3969/j.issn.1001-070X.2004.03.007 http://dx.doi.org/10.3969/j.issn.1001-070X.2004.03.007 ]

Qin Z H , LI W J , ZHANG M H , Karnieli A and Berliner P . 2003 . Estimating of the Essential Atmospheric Parameters of Mono-window Algorithm for Land Surface Temperature Retrieval from Landsat TM6. Remote Sensing for Land and Resources, (2): 37 - 43

覃志豪 , LI W J , ZHANG M H , Karnieli A , Berliner P . 2003 . 单窗算法的大气参数估计方法. 国土资源遥感, (2): 37 - 43 [DOI: 10.3969/j.issn.1001-070X.2003.02.010]

Qin Z H , Zhang M H , Karnieli A and Berliner P . 2001 . Mono-window algorithm for retrieving land surface temperature from Landsat TM 6 data. Acta Geographica Sinica , 56 ( 4 ): 456 - 466

覃志豪 , Zhang M H , Karnieli A , Berliner P . 2001 . 用陆地卫星TM6数据演算地表温度的单窗算法 . 地理学报 , 56 ( 4 ): 456-466 [ DOI: 10.11821/xb200104009 http://dx.doi.org/10.11821/xb200104009 ]

Riaño D , Chuvieco E , Salas J and Aguado I . 2003 . Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types . IEEE Transactions on Geoscience and Remote Sensing , 41 ( 5 ): 1056 - 1061

Sun C F , Kong F H , Yin H W , Yan W J , Xu F and Ren Y J . 2014 . Analysis of factors affecting mountainous land surface temperature in the summer: a case study over Mount Tai . Acta Ecologica Sinica , 34 ( 12 ): 3396 - 3404

孙常峰 , 孔繁花 , 尹海伟 , 闫伟姣 , 许峰 , 任怡静 . 2014 . 山区夏季地表温度的影响因素——以泰山为例 . 生态学报 , 34 ( 12 ): 3396-3404 ） [ DOI: 10.5846/stxb201310312626 http://dx.doi.org/10.5846/stxb201310312626 ]

Tang C , Li K and Liu Y . 2017 . Temperature inversion of geothermal anomaly area in Tengchong area based on thermal infrared remote sensing technology . Geomatics and Spatial Information Technology , 40 ( 1 ): 36 - 39

唐超 , 李珂 , 刘宇 . 2017 基于热红外遥感技术的腾冲地区地热异常区温度反演研究 . 测绘与空间地理信息 , 40 ( 1 ): 36 - 39 ） [ DOI: 10.3969/j.issn.1672-5867.2017.01.010 http://dx.doi.org/10.3969/j.issn.1672-5867.2017.01.010 ]

Wang F , Qin Z H , Song C Y , Tu L L , Karnieli A and Zhao S H . 2015 . An improved mono-window algorithm for land surface temperature retrieval from Landsat 8 thermal infrared sensor data . Remote Sensing , 7 ( 4 ): 4268 - 4289 [ DOI: 10.3390/rs70404268 http://dx.doi.org/10.3390/rs70404268 ]

Wei S L , Chen Z B , Chen Z Q , Wang Q Y , Ma X L and Yan X Y . 2017 . Simulation of the total solar radiation over micro-landform and correlation between the solar radiation and the land surface temperature . Remote Sensing For Land and Resources , 29 ( 1 ): 1 29 - 135

魏胜龙 , 陈志彪 , 陈志强 , 王秋云 , 马秀丽 , 鄢新余 . 2017 . 微地形上太阳辐射模拟及与地表温度关系研究 . 国土资源遥感 , 29 ( 1 ): 129-135 ） [ DOI: 10.6046/gtzyyg.2017.01.20 http://dx.doi.org/10.6046/gtzyyg.2017.01.20 ]

Wen L J , Peng W F , Yang H R , Wang H Y , Dong L J and Shang X . 2017 . An analysis of land surface temperature (LST) and its influencing factors in summer in western Sichuan Plateau: a case study of Xichang City . Remote Sensing For Land and Resources , 29 ( 2 ): 207 - 214

文路军 , 彭文甫 , 杨华容 , 王怀英 , 董丽君 , 尚雪 . 2017 . 夏季川西高原地表温度的空间特征和影响因素——以西昌市大部分区域为例 . 国土资源遥感 , 29 ( 2 ): 207-214 ） [ DOI: 10.6046/gtzyyg.2017.02.30 http://dx.doi.org/10.6046/gtzyyg.2017.02.30 ]

Wu W Y . 2011 . Analyzing Method of Thermal Information Associated with Faults Based on Thermal Infrared Remote Sensing . Hangzhou : Zhejiang University : 45 - 46

吴文渊 . 2011 . 从热红外遥感获取断裂相关信息的分析方法研究 . 杭州 : 浙江大学 : 45 - 46

Xiong Y Z , Chen F and Huang S P . 2016 . Application of remote sensing technique to the identification of geothermal anomaly in Tengchong area, southwest China . Journal of Chengdu University of Technology (Science and Technology Edition) , 43 ( 1 ): 109 - 118

熊永柱 , 陈峰 , 黄少鹏 . 2016 . 基于遥感技术的腾冲地热异常区识别 . 成都理工大学学报(自科科学版) , 43 ( 1 ): 109-118 ） [ DOI: 10.3969/j.issn.1671-9727.2016.01.12 http://dx.doi.org/10.3969/j.issn.1671-9727.2016.01.12 ]

Xu J Q , Bai C J and Liu J Y . 2008 . Geothermal resource prognosis based on remote sensing technology in Changbaishan volcanic area . Remote Sensing for Land and Resources , ( 1 ): 68 - 71

许军强 , 白朝军 , 刘嘉宜 . 2008 . 基于遥感技术的长白山火山区地热预测研究. 国土资源遥感, (1): 68 - 71

Xue X J , Meng Q Y , Wang C M , Zheng L J , Wang L and Zhang Y . 2012 . Monitoring spatio-temporal changes of heat island effect in Beijing based on HJ-1B . Journal of Geo-Information Science , 14 ( 4 ): 474 - 480

薛晓娟 , 孟庆岩 , 王春梅 , 郑利娟 , 王靓 , 张瀛 . 2012 . 北京市热岛效应时空变化的HJ-1B监测分析 . 地球信息科学学报 , 14 ( 4 ): 474-480 ） [ DOI: 10.3724/SP.J.1047.2012.00474 http://dx.doi.org/10.3724/SP.J.1047.2012.00474 ]

Yang B , Wu D W , Lai J Q and Tang P K . 2003 . The Application of remote sensing technology to the study and forecast of terrestrial heat resources in southwestern Tengchong area, Yunnan province . Remote Sensing For Land and Resources , 15 ( 2 ): 23 - 26

杨波 , 吴德文 , 赖健清 , 唐攀科 . 2003 . 遥感技术在腾冲西南地区地热资源研究预测中的应用 . 国土资源遥感 , 15 ( 2 ): 23-26 ） [ DOI: 10.3969/j.issn.1001-070X.2003.02.006 http://dx.doi.org/10.3969/j.issn.1001-070X.2003.02.006 ]

Yang J M and Qiu J H . 2002 . A method for estimating precipitable water and effective water vapor content from ground humidity parameters . Chinese Journal of Atmospheric Sciences , 26 ( 1 ): 9 - 22

杨景梅 , 邱金桓 . 2002 . 用地面湿度参量计算我国整层大气可降水量及有效水汽含量方法的研究 . 大气科学 , 26 ( 1 ): 9-22 ） [ DOI: 10.3878/j.issn.1006-9895.2002.01.02 http://dx.doi.org/10.3878/j.issn.1006-9895.2002.01.02 ]

Zhai X D , Xing L X , Yuan N N , Wang X D , Gao Z Y and Chen X . 2015 . Application of thermal infrared remote sensing technology in extracting heat anomalies of geothermal . Journal of Anhui Agricultural Sciences , 43 ( 3 ): 358 - 360

翟锡丹 , 邢立新 , 元楠楠 , 王晓东 , 高志勇 , 陈潇 . 2015 . 热红外遥感在地热异常提取中的应用 . 安徽农业科学 , 43 ( 3 ): 358-360 ） [ DOI: 10.3969/j.issn.0517-6611.2015.03.121 http://dx.doi.org/10.3969/j.issn.0517-6611.2015.03.121 ]

Zhang P M and Zhang J L . 2006 . Identification of remote sensing information in geothermal abnormal area . Remote Sensing Information , ( 2 ): 42 - 45

张佩民 , 张金良 . 2006 . 地热异常区的遥感信息识别. 遥感信息, (2): 42 - 45 ） [DOI: 10.3969/j.issn.1000-3177.2006.02.013]

Zhang X , Zhang Y S and Zhang L F . 2016 . Research progress of satellite thermal infrared remote sensing in earthquake prediction and fault activity . Geological Review , 62 ( 2 ): 381 - 388

张璇 , 张元生 , 张丽峰 . 2016 . 卫星热红外遥感在地震预测和断层活动中的应用研究进展 . 地质论评 , 62 ( 2 ): 381-388 ） [ DOI: 10.16509/j.georeview.2016.02.012 http://dx.doi.org/10.16509/j.georeview.2016.02.012 ]

Zhao W , Li A N , Zhang Z J , Bian J H , Jin H A , Yin G F , Nan X and Lei G B . 2016 . A study on land surface temperature terrain effect over mountainous area based on Landsat 8 thermal infrared data. Remote Sensing Technology and Application , 31 ( 1 ): 63 - 73

赵伟 , 李爱农 , 张正健 , 边金虎 , 靳华安 , 尹高飞 , 南希 , 雷光斌 . 2016 . 基于Landsat8热红外遥感数据的山地地表温度地形效应研究 . 遥感技术与应用 , 31 ( 1 ): 63-73 [ DOI: 10.11873/j.issn.1004-0323.2016.1.0063 http://dx.doi.org/10.11873/j.issn.1004-0323.2016.1.0063 ]

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