Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2015, Vol. 27 Issue (3) : 71-76     DOI: 10.6046/gtzyyg.2015.03.13
Technology and Methodology |
Remote sensing inversion of dissolution rate of limestone bedrock surface based on ecological parameters in Karst areas
CHEN Mengjie1,2, WU Hong1,2, LIU Chao3, ZHOU Minyue1, LU Dingge1, GUO Wei4
1. Institute of Remote Sensing Applications, School of Earth Sciences, Guilin University of Technology, Guilin 541006, China;
2. Spatial Information and Mapping Key Laboratory of Guangxi/School Surveying and Mapping, Guilin University of Technology, Guilin 541006, China;
3. Tangshan Caofeidian Area of Land and Resources Bureau, Tangshan 063000, China;
4. Central South Institute of Metallurgical Geology, Yichang 443000, China
Download: PDF(3706 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  To explore the correlation between the ecological parameters of Karst peaks and the dissolution rate of surface limestone bedrock, the authors selected the relevant ecological parameters to indirectly estimate the dissolution rate of limestone bedrock under the soil surface and, based on TM multi-band data of Landsat5, chose Karst area of Yaji Village in Guilin as the study area for the purpose of extracting its sensing parameters comprising NDVI, ground temperature and soil moisture. Using SPSS statistical software, the authors made a correlation analysis of these three factors with the limestone dissolution rate and obtained their correlation coefficients, which are-0.91, 0.85 and 0.93 respectively. A computing remote inversion model of limestone surface dissolution amount dissolution rate, which is covered by vegetation, was established by using NDVI to perform estimatation through regression analysis. The results show that NDVI and limestone dissolution rate have the maximum correlation. Therefore, the vegetation information is an indirect sign of dissolution of limestone bedrock surface. There is a linear relationship between the dissolution rate and the NDVI index. So long as the NDVI index is known in other parts of the study area, the limestone dissolution rate in this area can be estimated.
Keywords ZY-1 02C satellite data      remote sensing monitoring for mineral resources exploration      application study     
:  TP751.1  
Issue Date: 23 July 2015
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
AN Zhihong
NIE Hongfeng
WANG Hao
JING Qingqing
Cite this article:   
AN Zhihong,NIE Hongfeng,WANG Hao, et al. Remote sensing inversion of dissolution rate of limestone bedrock surface based on ecological parameters in Karst areas[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(3): 71-76.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.03.13     OR     https://www.gtzyyg.com/EN/Y2015/V27/I3/71
[1] 袁道先.现代岩溶学和全球变化研究[J].地学前缘,1997,4(1/2):23-27. Yuan D X.Modern Karstology and global change study[J].Earth Science Frontiers,1997,4(1/2):23-27.
[2] 袁道先,章程.岩溶动力学的理论探索与实践[J].地球学报,2008,29(3):355-365. Yuan D X,Zhang C.Karst dynamics theory in China and its practice[J].Acta Geoscientica Sinica,2008,29(3):355-365.
[3] 李恩香,蒋忠诚,曹建华,等.广西弄拉岩溶植被不同演替阶段的主要土壤因子及溶蚀率对比研究[J].生态学报,2004,24(6):1131-1139. Li E X,Jiang Z C,Cao J H,et al.The comparison of properties of Karst soil and Karst erosion ratio under different successional stages of Karst vegetation in Nongla,Guangxi[J].Acta Ecologica Sinica,2004,24(6):1131-1139.
[4] 曹建华,袁道先,潘根兴,等.不同植被下土壤碳转移对岩溶动力系统中碳循环的影响[J].地球与环境,2004,32(1):90-96. Cao J H,Yuan D X,Pan G X,et al.Influence of soil carbon transfer under different vegetations on carbon cycle of Karst dynamics system[J].Earth and Environment,2004,32(1):90-96.
[5] 李涛,赵东兴,张美良,等.土壤CO2、土壤水的动态特征及其对岩溶作用的驱动[J].热带地理,2013,33(5):575-581. Li T,Zhao D X,Zhang M L,et al.Dynamic characteristics of the soil CO2 and soil water chemistry,and their driving action on Karstification[J].Tropical Geography,2013,33(5):575-581.
[6] 于奭,李幼玲,林玉石,等.酸雨对碳酸盐岩的溶蚀能力及溶蚀表面微形态[J].桂林理工大学学报,2012,32(1):48-54. Yu S,Li Y L,Lin Y S,et al.Carbonate rock acid rain dissolution capacity and surface dissolution micromorphology[J].Journal of Guilin University of Technology,2012,32(1):48-54.
[7] 章程,蒋勇军,Lian Y Q,等.利用SWMM模型模拟岩溶峰丛洼地系统降雨径流过程——以桂林丫吉试验场为例[J].水文地质工程地质,2007,29(3):10-14. Zhang C,Jiang Y J,Lian Y Q,et al.Rainfall-runoff simulation of a typical Karst Fengcong depression system using SWMM model:A case study of the Yaji experimental site in Guilin[J].Hydrogeology Engineering Geology,2007,29(3):10-14.
[8] 李为,余龙江,李涛,等.岩溶生态系统土壤酶活性的时空动态及其与土壤肥力的关系——以桂林丫吉村岩溶试验场为例[J].农业环境科学学报,2008,27(1):260-266. Li W,Yu L J,Li T,et al.Seasonal and spatial dynamics of soil enzyme activities and its relationship to soil fertility in Karst ecosystem:A case study of Guilin Yaji Karst experimental site[J].Journal of Agro-Environment Science,2008,27(1):260-266.
[9] 吴虹,贾志强.遥感地质学实验教程[M].北京:地质出版社,2012:141-143. Wu H,Jia Z Q.Remote Sensing Geology Experiment Tutorial[M].Beijing:Geological,2012:141-143.
[10] 郑战辉.陆地卫星ETM+与IKONOS多光谱图像的融合研究[D].郑州:解放军信息工程大学,2004. Zheng Z H.The Landsat ETM+ and IKONOS Multi-spectral Image Fusion Research[D].Zhengzhou:Information Engineering University of the People's Liberation Army,2004.
[11] 何媛媛.岩溶生态系统中土壤及典型植物碳酸酐酶对岩溶作用的影响[D].桂林:广西师范大学,2010. He Y Y.Impact of Carbonic Anhydrase in Soil and Typical Plants on the Karst Process in the Karst Ecosystem[D].Guilin:Guangxi Normal University,2010.
[12] 梁保平,李艺,陈可宙.桂林市NDVI、地表温度的地物特征及相关性研究[J].遥感技术与应用,2012,27(3):429-435. Liang B P,Li Y,Chen K Z.A research on land features and correlation between NDVI and land surface temperature in Guilin City[J].Remote Sensing Technology and Application,2012,27(3):429-435.
[13] 曹建华,杨慧,康志强.区域碳酸盐岩溶蚀作用碳汇通量估算初探:以珠江流域为例[J].科学通报,2011,56(26):2181-2187. Cao J H,Yang H,Kang Z Q.Preliminary regional estimation of carbon sink flux by carbonate rock corrosion:A case study of the Pearl River Basin[J].Chinese Science Bulletin,2011,56(35):3766-3773.
[14] 曹翠.花山花岗岩型铀矿遥感热红外反演成矿要素研究[D].桂林:桂林理工大学,2012. Cao C.Study on Inversion of Alteration Mineral Information of Granite-type Uranium Deposits Using Thermal Infrared Remote Sensing Technique in Huashan Granite Body[D].Guilin:Guilin University of Technology,2012.
[1] AN Zhihong, NIE Hongfeng, WANG Hao, JING Qingqing. Study and analysis of application of ZY-1 02C satellite data to remote sensing monitoring technology for exploration of mineral resources[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(2): 174-182.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech