利用ASTER影像对慕士塔格公格尔山冰川解译与目录编制   总被引：11，自引：7，他引：4  

上官冬辉  刘时银  丁永建  丁良福  沈永平  张世强  鲁安新  李刚  蔡迪花  张勇 《冰川冻土》2005,27(3):344-351

以帕米尔东缘的慕士塔格公格尔山为试验区, 利用2001年ASTER遥感数据, 综合空间锐化增强处理、比值图像取阀值和目视判读等提取冰川边界; 利用ASTER的同轨立体像对提取DEM, 区分表碛覆盖的冰川范围; 自动、半自动和人工量算冰川的有关参数, 进行冰川解译和新的冰川目录编制. 与中国冰川编目数据对比分析, 1962/1966 -2001年间研究区冰川面积退缩了67.89 km2, 占总面积的(6.2±1.0)%. 结果表明, 运用高分辨率的ASTER遥感资料可快速、直观地实现基于GIS的冰川编目, 方便地观测冰川的动态变化, 从而节约冰川编目和观测冰川变化的时间和经费, 在实践上具有很大的优势.  相似文献   

巴基斯坦山达克矿区ASTER遥感数据蚀变信息提取及找矿预测     

刘磊  蒲小楠  洪俊  张辉善  YASIR Shaheen Khalil 《地质论评》2022,68(5):2022092008-2022092008

巴基斯坦查盖火山岩浆岩带属于特提斯成矿域的重要组成部分之一,是巴基斯坦境内最重要的斑岩型铜矿带,但目前其相关的遥感研究还较少,制约了对该成矿带的找矿潜力分析。本文以山达克矿床及其周边为研究区,对先进星载热辐射与反射辐射计(Advanced Spaceborne Thermal Emission and Reflection Radiometer, ASTER)数据进行RBD (Relative absorption band depth)比值假彩色合成、主成分分析、光谱角制图等处理,获得蚀变遥感异常信息分布特征,通过对蚀变特征和主要控矿要素进行遥感研究,建立了山达克矿床遥感找矿模型并开展成矿预测,为该成矿带矿产勘查提供借鉴。根据建立的遥感找矿模型,圈定了找矿预测靶区10处。对矿区东矿体和矿区北部的2个靶区进行野外验证,证实了提取结果与实际地质事实吻合较好,对矿区岩石样品进行光谱实测,表明样品实测光谱曲线与标准矿物光谱曲线的吸收特征位置高度相似,证实了研究区绢云母化、青磐岩化等蚀变较强且分布较广。结果表明本次研究提取的矿化蚀变结果可信度较高,可为后续找矿勘查工作提供参考。  相似文献   

2000—2020年兴都库什东部冰川区物质平衡变化及其影响因素     

骆建伟  柯长青  喻薛凝 《冰川冻土》2022,44(1):159-170

利用SRTM DEM和ASTER立体像对数据获取的DEM分析了2000—2020年兴都库什东部的冰川物质平衡,并结合CRU TS 4.04气象数据探讨了气温、降水、地形和冰湖对南、北冰川区物质平衡空间差异的影响。结果表明：2000—2020年兴都库什东部冰川区物质平衡为（-0.02±0.04） m w.e.·a^-1,冰川整体呈现微弱的负物质平衡状态。从坡向来看,南坡以正物质平衡冰川居多,北坡以负物质平衡冰川居多。从南、北两个子区域来看,北部冰川区物质平衡为（0.07±0.04） m w.e.·a^-1,南部冰川区物质平衡为（-0.32±0.04） m w.e.·a^-1。北部冰川面积规模大,所处海拔区间高,南部则相反。北部冰川区处于较高的海拔区间且冬季气温较低,导致夏季升温所产生的冰川消融的影响被削弱,冰川物质平衡的分布与降水分布在空间上具有一致性。南部冰川区出现的强烈物质亏损主要是由于夏季气温的急剧升高和冰川处于较低的海拔区间。南、北区域冰前湖和冰面湖面积不断扩大的空间差异性,也在一定程度上加剧了该地区冰川物质平衡的空间差异。  相似文献   

多源数据在甘肃山羊坝地区找矿勘查中的应用     

连琛芹  姚佛军  封志明  杨建民  贾祥祥 《现代地质》2022,36(6):1605-1612

针对单一遥感数据已难以满足地质找矿工作需求的问题,本次研究综合使用雷达数据、光学数据及其他非遥感数据共同服务于地质找矿。以甘肃山羊坝地区为研究区,选择ASTER多光谱遥感数据,采用植被抑制法+特征向量主成分分析法,提取研究区的蚀变信息;选择PALSAR雷达数据,采用聚焦、多视、滤波、辐射定标、地理编码和增强处理等一系列处理方法制作雷达强度图,提取研究区构造信息。最后利用GIS平台进行遥感、地质及化探等信息的集成与综合分析,最终圈定了具有找矿前景的矿产资源靶区,野外查证发现一处金矿点。此次研究获得了良好的找矿效果,表明同时使用雷达数据、光学数据及其他非遥感数据的综合找矿方法,对本地区金矿找矿勘查具有重要的指导作用。  相似文献   

遥感在大兴安岭森林覆盖区地质矿产调查中的应用——以黑龙江洛古河1:5万区域地质矿产调查工作为例     

周传芳  陈卓  孙彦峰  梁中恺  杨长保  姜平  冯嘉  杜海双 《地质与资源》2022,31(5):632-641

大兴安岭地区森林覆盖严重, 气候严寒, 交通极为不便, 野外有效工作时间短, 给区域地质矿产调查工作增加了难度, 急需遥感手段提高成果质量和效率. 在黑龙江大兴安岭洛古河等4幅1:5万区域地质矿产调查工作中, 利用SPOT7、Landsat7/8、ASTER等多种遥感数据开展地质矿产解译, 进行遥感影像分区, 建立地层、构造和侵入岩解译标志, 提取羟基和铁染蚀变异常, 结合水系沉积物测量成果划分了成矿有利区, 有效降低了地质矿产调查强度, 提高了调查效率, 增强了调查质量. 表明遥感技术在大兴安岭高植被覆盖区地质矿产调查过程中能够取得较好效果.  相似文献   

基于ASTER与Sentinel-2A融合数据的云南普朗铜矿化蚀变信息提取     

陈琪 《地质与勘探》2021,57(4):728-738

云南普朗铜矿区是我国提高战略性金属矿产铜矿资源的主要潜力地段,该矿区位于多云多雨山地高原区,采用传统地面调查方法开展找矿勘查工作受限较大,而遥感技术可在其中发挥重要作用。鉴于此,本研究选取ASTER和Sentinel-2A多光谱遥感数据,在光谱协同统一两种数据源的地表反射率基础上,采用高通滤波(High-Pass Filtering,HPF)的融合方法兼顾两种数据在短波红外波段和可见光近红外波段的优势,获取了具有高空间分辨率和高光谱保真度的ASTER-Sentinel-2A融合数据集;进而利用"比值+主成分分析法"与"主成分分析+能谱-面积法",开展了普朗铜矿区矿化遥感蚀变信息识别,并通过深入分析及野外验证,提出了对普朗铜矿蚀变信息分布特征及找矿潜力地带的新认识:(1)在原蚀变填图工作中判定为青磐岩化带的东部区域,重新进行了蚀变带的划分;(2)东部区域中新划分的钾化硅化带和绢英岩化带,具有较大找矿潜力。本研究可为普朗铜矿找矿勘查提供参考。  相似文献   

An approach of surface coal fire detection from ASTER and Landsat-8 thermal data: Jharia coal field,India     

《International Journal of Applied Earth Observation and Geoinformation》2015

Radiant temperature images from thermal remote sensing sensors are used to delineate surface coal fires, by deriving a cut-off temperature to separate coal-fire from non-fire pixels. Temperature contrast of coal fire and background elements (rocks and vegetation etc.) controls this cut-off temperature. This contrast varies across the coal field, as it is influenced by variability of associated rock types, proportion of vegetation cover and intensity of coal fires etc. We have delineated coal fires from background, based on separation in data clusters in maximum v/s mean radiant temperature (13th band of ASTER and 10th band of Landsat-8) scatter-plot, derived using randomly distributed homogeneous pixel-blocks (9 × 9 pixels for ASTER and 27 × 27 pixels for Landsat-8), covering the entire coal bearing geological formation. It is seen that, for both the datasets, overall temperature variability of background and fires can be addressed using this regional cut-off. However, the summer time ASTER data could not delineate fire pixels for one specific mine (Bhulanbararee) as opposed to the winter time Landsat-8 data. The contrast of radiant temperature of fire and background terrain elements, specific to this mine, is different from the regional contrast of fire and background, during summer. This is due to the higher solar heating of background rocky outcrops, thus, reducing their temperature contrast with fire. The specific cut-off temperature determined for this mine, to extract this fire, differs from the regional cut-off. This is derived by reducing the pixel-block size of the temperature data. It is seen that, summer-time ASTER image is useful for fire detection but required additional processing to determine a local threshold, along with the regional threshold to capture all the fires. However, the winter Landsat-8 data was better for fire detection with a regional threshold.  相似文献   

ASTER数据的煤矿区水体信息提取     

叶杰  王战卫  冯乃琦  刘冰  张斌  谷芳莹  白潍铭  王海侠 《测绘通报》2020,(7):82-87

为实现多光谱数据对煤矿区水体信息提取，以萍乡市芦新岭及周边煤矿为试验区，在国内外学者对水体指数法提取水体信息和应用的启发下，对试验区不同地物的波谱特征进行分析。本文首先利用数学统计方法建立一种ASTER数据综合归一化差异水体指数模型SWI ASTER_xy，然后利用这一模型对试验区进行水体信息提取。试验表明，该模型能够有效地提取矿区各类水体，还可以运用在ASTER数据（或其他多光谱数据）对不同区域不同地物的提取，在遥感地物定量提取上具有很好的效果和潜力，具有一定的推广价值。  相似文献   

基于ASTER数据和反射光谱分析的烃类微渗漏信息提取     

李娜  周萍 《地质力学学报》2015,21(2):218-227

选取陕西省榆林气田地区为研究区,利用ASTER数据多波段的优势,在研究区开展了基于波段运算和主成分分析的二价铁、黏土矿化以及碳酸盐矿化等烃类微渗漏蚀变信息提取,圈出4个有效靶区;并利用ASTER数据的热红外波段进行基于分裂窗简化算法的温度反演得到研究区的温度图像以验证靶区的有效性,温度反演结果中高温异常区和靶区范围基本吻合;最后对USGS光谱库中常见蚀变矿物光谱、研究区实测光谱以及原油光谱进行综合分析,进一步验证靶区有效性,多种方法相结合以提高烃类微渗漏蚀变信息提取精度。  相似文献   

Integration of ASTER and landsat TM remote sensing data for chromite prospecting and lithological mapping in Neyriz ophiolite zone,south Iran          下载免费PDF全文

Alireza Eslami  Majid Ghaderi  Sankaran Rajendran  Amin Beiranvand Pour  Mazlan Hashim 《Resource Geology》2015,65(4):375-388

Chromite deposits in Iran are located in the ophiolite complexes, which have mostly podiform types and irregular in their settings. Exploration for podiform chromite deposits associated with ophiolite complexes has been a challenge for the prospectors due to tectonic disturbance and their distribution patterns. Most of Iranian ophiolitic zones are located in mountainous and inaccessible regions. Remote sensing approach could be applicable tool for choromite prospecting in Iranian ophiolitic zones with intensely rugged topography, where systematic sampling and conventional geological mapping are limited. In this study, Landsat Thematic Mapper (TM) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data were used for chromite prospecting and lithological mapping in the Neyriz ophiolitic zone in the south of Iran. Image transformation techniques, namely decorrelation stretch, band ratio and principal component analysis (PCA) were applied to Landsat TM and ASTER data sets for lithological mapping at regional scale. The RGB decorrelated image of Landsat TM spectral bands 7, 5, and 4, and the principal components PC1, PC2 and PC3 image of ASTER SWIR spectral bands efficiently showed the occurrence of major lithological units in the study area at regional scale. The band ratios of 5/3, 5/1, 7/5 applied on ASTER VNIR‐SWIR bands were very useful for discriminating most of rock units in the study area and delineation of the transition zone and mantle harzburgite in the Neyriz ophiolitic complex. Spectral Angle Mapper (SAM) technique was implemented to ASTER VNIR‐SWIR spectral bands for detecting minerals of rock units and especially delineation of the transition zone and mantle harzburgite as potential zones with high chromite mineralization in the Neyriz ophiolitic complex. The integration of information extracted from the image processing algorithms used in this study mapped most of lithological units of the Neyriz ophiolitic complex and identified potential areas of high chromite mineralization (transition zone and mantle harzburgite) for chromite prospecting targets in the future. Furthermore, image processing results were verified by comprehensive fieldwork and laboratory analysis in the study area. Accordingly, result of this investigation indicate that the integration of information extracted from the image processing algorithms using Landsat TM and ASTER data sets could be broadly applicable tool for chromite prospecting and lithological mapping in mountainous and inaccessible regions such Iranian ophiolitic zones.  相似文献