基于ASTER遥感数据的西藏多龙矿集区示矿信息的提取

矿化蚀变信息的提取对圈定成矿区具有重要意义。近年来,运用多光谱遥感数据进行示矿信息提取得到了长足的发展。常用的示矿信息提取技术方法包括优化的主成分分析方法、比值算法、光谱角算法等。选取西藏改则县多龙地区为研究区,以区内多不杂斑岩型铜矿为典型的已知矿床,基于ASTER遥感数据,运用多种示矿信息提取方法进行靶区圈定综合研究,多种技术方法相互印证,避免了单一算法的局限性,为成矿靶区的圈定提供了更为准确的遥感依据。     

Application of ASTER remote sensing data to geological mapping of basement domains in arid regions: a case study from the Central Anti-Atlas,Iguerda inlier,Morocco

Satellite remote sensing is shown to provide critical support for geological and structural mapping in semiarid and arid areas. In this work, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data were used to clarify the geological framework of the Precambrian basement of the Iguerda Proterozoic inlier in the Moroccan Central Anti-Atlas. In this study, the interpretation of the processed digital data has been ground truthed with geological field data collected during a reconnaissance-mapping program in the Central Anti-Atlas. The Iguerda inlier offers a deeply eroded Precambrian massif dominated by a Paleoproterozoic basement composed of supracrustal metasedimentary units intruded by various Eburnian granitoids. Impressive mafic dyke swarms mainly of Proterozoic age crosscut this basement. Eburnian basement rocks are unconformably overlain by Lower Ediacaran volcanosedimentary rocks of the Ouarzazate Group and Upper Ediacaran–Lower Cambrian carbonates. The applied ASTER analyses are particularly effective in the lithological differentiation and discrimination of geological units of the Iguerda inlier. The spectral information divergence (SID) classification algorithm coupled with spectral angle mapper and maximum likelihood classification effectively discriminates between metamorphic rocks, granitoid bodies, and carbonate cover. SID classification improves geologic map accuracy with respect to the spatial distribution of plutonic bodies and metamorphic units. In addition, Paleoproterozoic granitoids have been well discriminated into separate distinct suites of porphyritic granites, granodiorites, and peraluminous leucogranite suites. This discrimination was initially identified via remote sensing analysis and later ground truthed in the field. This methodology enhances geological mapping and illustrates the potential of ASTER data to serve as a vital tool in detailed geologic mapping and exploration of well-exposed basement of arid regions, such as the Proterozoic of the Anti-Atlas Mountains of Morocco.     

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

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。笔者等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。     

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

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.     

基于ASTER遥感数据的西藏多龙矿集区

矿化蚀变信息的提取对圈定成矿区具有重要意义。近年来,运用多光谱遥感数据进行示矿信息提取得到了长足的发展。常用的示矿信息提取技术方法包括优化的主成分分析方法、比值算法、光谱角算法等。选取西藏改则县多龙地区为研究区,以区内多不杂斑岩型铜矿为典型的已知矿床,基于ASTER遥感数据,运用多种示矿信息提取方法进行靶区圈定综合研究,多种技术方法相互印证,避免了单一算法的局限性,为成矿靶区的圈定提供了更为准确的遥感依据。     

Application of Bayesian networks for fire risk mapping using GIS and remote sensing data

This study estimates fire risk in Swaziland using geographic information system (GIS) and remote sensing data. Fire locations were identified in the study area from remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) active fire and burned area data for the period between April 2000 to December 2008 and January 2001 and December 2008, respectively. A total of thirteen biophysical and socio-economic explanatory variables were analyzed and processed using a Bayesian network (BN) and GIS to generate the fire risk maps. The interdependence of each of the factors was probabilistically determined using the expectation-maximization (EM) learning algorithm. The final probabilistic outputs were then used to classify the country into five fire risk zones for mitigation and management. Accuracy assessments and comparison of the fire risk maps indicate that the risk maps derived from the active fire and burned area data were 93.14 and 96.64% accurate, respectively, demonstrating sufficient agreement between the risk maps and the existing data. High fire risk areas are observed in the Highveld particularly plantation forests and grasslands and within the Lowveld sugarcane plantations. Land tenure and land cover are the dominant determinants of fire risk, the implications of which are discussed for fire management in Swaziland. Limitations of the data used and the modeling approach are also discussed including suggestions for improvements and future research.     

Groundwater risk intensity mapping in semi-arid regions using optical remote sensing data as an additional tool

Due to semi-arid to arid climatic conditions, Jordan has limited groundwater resources. As a result of agricultural activities and untreated wastewater, most of the groundwater in the karstic areas is microbiologically contaminated. Groundwater vulnerability, hazards, and risk intensity were mapped (scale 1:50,000) at a test site near the Jordan Rift Valley. The mapping included the use of optical remote sensing to complement conventional data in areas with poor data. LANDSAT ETM+ data, and colour and panchromatic aerial photographs at different scales were incorporated using visual image interpretation and digital image processing. The applicability of the different remote sensing data sources is discussed and recommendations for their usage are given. Information derived from digital images offers new opportunities for vulnerability and hazard assessment, particularly when related to land use, vegetation cover, urbanisation and infrastructure. The resulting maps indicate clearly the vulnerable areas and the “hot spots” of potential contamination in the test site and form an important basis for integrated groundwater management studies and the long-term planning of protective measures. The application and transferability of the European vulnerability approach (COST Action 620) to the test site in Jordan proved to be good, in general, although modifications were necessary to suit local conditions.

---

Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorised users.

---

Résumé La Jordanie ne dispose que de ressources limitées en eaux souterraines, étant donné le climat semi-aride à aride prévalant dans ce pays. La contamination microbiologique de la plupart des eaux souterraines des régions karstiques est due aux activités agricoles et l’absence de traitement des eaux usées. La vulnérabilité des eaux souterraines, et le danger et l’intensité du risque de leur contamination ont été cartographiés (à l’échelle de 1:50 000) pour un site d’étude situé près de la vallée du Rift du Jourdain. La cartographie inclut l’utilisation de données optiques de télédétection pour complémenter les sources de données conventionnelles, dans les zones où la couverture est déficiente. Des données de LANDSAT ETM+ et des photographies aériennes en couleur et panchromatiques à différentes échelles ont été incorporées en utilisant des méthodes d’interprétation visuelle et informatique de l’image. La qualité des différentes sources de données de télédétection est discutée et évaluée, et des recommandations pour leur utilisation sont suggérées. L’informations obtenue des images digitales offre de nouvelles opportunités pour l’évaluation des vulnérabilités et des dangers, surtout reliés à l’usage du sol, la couverture végétale, l’urbanisation et les diverses infrastructures. Les cartes ainsi obtenues indiquent clairement les zones vulnérables et les points critiques potentiels pour la contamination du site d’étude et forment une base importante pour l’étude de la gestion intégrée des eaux souterraines et pour la planification à long terme des mesures de protection. L’applicabilité de l’approche européenne de cartographie de la vulnérabilité et des risques (COST action 620) au site d’étude jordanien est généralement approprié, même si certaines modifications ont été nécessaires pour s’ajuster aux particularités régionales.

---

Resumen Los recursos hídricos subterráneos en Jordania son limitados debido principalmente a su clima semi árido. En la mayoría de las áreas kársticas, las aguas subterráneas están contaminadas microbiológicamente a consecuencia de la actividad agrícola y de las aguas residuales. Por ello, se han realizado mapas de peligro, vulnerabilidad e intensidad del riesgo (a escala 1/50.000) de un área piloto próxima al Rift en Jordania. Los mapas han sido elaborados con el apoyo de técnicas de teledetección en aquellas zonas donde la información era escasa. Se han utilizado imágenes del LANDSAT ETM+ a y fotografía aérea, de color y pancromática, a diferentes escalas para el procesamiento de las imágenes digitales y la fotointerpretación. En este trabajo se discute y se dan recomendaciones sobre la aplicabilidad de las diferentes imágenes de satélite en los análisis de teledetección. Los datos que se pueden derivar de las imágenes digitales son un avance para la evaluación de la vulnerabilidad y los peligros de contaminación, particularmente aquellos referidos a usos del suelos, cubierta vegetal e infraestructuras urbanas. Los mapas resultantes muestran claramente la vulnerabilidad y los peligros potenciales de contaminación en la zona de estudio, lo que genera una importante base para los estudios de gestión integrada de las aguas subterráneas y de planificación de las medidas protectoras. La aplicabilidad de la aproximación europea a los estudios de vulnerabilidad en karst (COST Action 620) en la zona de estudio (Jordania) es buena, aunque fueron necesarias algunas leves modificaciones de la metodología para ajustarla a las condiciones locales.

     

Flood monitoring, mapping and assessing capabilities using RADARSAT remote sensing, GIS and ground data for Bangladesh

Remote sensing is the most practical method available to managers of flood-prone areas for quantifying and mapping flood impacts. This study explored large inundation areas in the Maghna River Basin, around the northeastern Bangladesh, as determined from passive sensor LANDSAT data and the cloud-penetrating capabilities of the active sensors of the remote imaging microwave RADARSAT. This study also used passive sensor LANDSAT wet and dry images for the year 2000. Spatial resolution was 30 m by 30 m for comparisons of the inundation area with RADARSAT images. RADARSAT images with spatial resolution of 50 m by 50 m were used for frequency analysis of floods from 2000 to 2004. Time series images for 2004 were also used. RADARSAT remote sensing data, GIS data, and ground data were used for the purpose of flood monitoring, mapping and assessing. A supervised classification technique was used for this processing. They were processed for creating a maximum water extent map and for estimating inundation areas. The results of this study indicated that the maximum extent of the inundation area as estimated using RADARSAT satellite imaging was about 29, 900.72 km² in 2004, which corresponded well with the heavy rainfall around northeast region, as seen at the Bhairab Bazar station and with the highest water level of the Ganges–Brahmaputra–Meghna (GBM) Rivers. A composite of 5 years of RADARSAT inundation maps from 2000 to 2004, GIS data, and damage data, was used to create unique flood hazard maps. Using the damage data for 2004 and the GIS data, a set of damage maps was also created. These maps are expected to be useful for future planning and flood disaster management. Thus, it has been demonstrated that RADARSAT imaging data acquired over the Bangladesh have the ability to precisely assess and clarify inundation areas allowing for successful flood monitoring, mapping and disaster management.     

Detection of chromite bearing mineralized zones in Abdasht ophiolite complex using ASTER and ETM+ remote sensing data

Podiform chromite ore deposits in ultramafic parts of ophiolite rock complexes can be detected using remote sensing data. This study focuses on the discrimination of chromite bearing mineralized zones using Landsat TM and Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data in Abdasht ophiolite complex, south of Iran. Several image processing methods, including Log residual, Decorellation Stretch, Band ratio and Mixture-Tuned Matched-Filtering (MTMF) have been evaluated for lithological mapping using Landsat ETM and ASTER data. The outcome showed that TIR band ratios of ASTER can discriminate quartzite, carbonate and mafic–ultramafic rocks in the ophiolite complex. Log residual, Decorollation Stretch and MTMF methods were more capable than previous published ASTER methods specifically for lithological mapping at a regional scale. New geological map of Abdasht region was produced based on the interpretation of ASTER image processing results and field verification. Consequently, the proposed methods demonstrated the ability of ASTER and Landsat ETM data to provide information for detecting chromite host rock (serpentinized dunites) that is valuable for chromite prospecting in study area. Additionally, the techniques used in this study are subtle for exploration geologist and mine engineering to identify high-potential chromite-bearing zones in the ophiolite complex, minimizing costly and time-consuming field works.     

Reconnaissance assessment of the Stenian-Tonian granitoids of southern Tanzania for metal resources by using geological remote sensing and geochemical techniques

This study presents the use of geological remote sensing and geochemistry to determine spatial extents, geochemical characteristics and petrogenetic origin of Ndanda-Masasi metagranitoids in order to explore for important metals (Sn, W, Ta and Nb) in the metagranitoids. Geological remote sensing was done using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data, and major and trace elements were analysed using a combination of Inductively Coupled Plasma Mass Spectrometer (ICP-MS) and Inductively Coupled Plasma Emission Spectrometer (ICP-ES). It has been revealed that the metagranitoids and other rocks in the Ndanda-Masasi area crop out in a larger spatial coverage than how it is depicted in available geological maps. Moreover, the meta-granitoids have variable SiO₂ contents, low Mg, Ni and Cr concentrations and moderate to large Fe-numbers. They classify mainly as magnesian- and ferroan-type granites and minor granodiorite and quartz monzonite. The chondrite normalized Rare Earth Elements (REE) patterns of the rocks show slight to strong enrichment of light REE over middle REE and heavy REE ((La/Yb)_N = 4.2–289.1), due to their variable contents of MREE and HREE. The rocks show flat patterns of middle REE and heavy REE and have negative Eu-anomalies (mean Eu/Eu* = 0.7), with the exception few rocks in some localities yielding positive Eu-anomalies. They are characterised by variable Sr/Y (4.7–356.7), Nb/Ta (2.6–44.5) and well correlated trends with negative slopes of SiO₂ vs MgO, TiO₂, CaO, and Al₂O₃ diagrams. These geochemical features reflects a most likely magmatic formation of the rocks in the presence of plagioclase, hornblende, garnet and rutile, or/and fractionation of the phases at variable crustal depths. Numerous myrmekites forming convex grain boundaries around K-feldspar in the rocks indicate Ca- and Na-metasomatism as an important process affecting the rocks in their evolution. The omnipresent retrograde assemblage of titanite, chlorite, epidote and muscovite forming at the expense of plagioclase, hornblende, biotite and opaque (Fe-Ti-oxides?) reflects their formation during uplifting history of the rocks. Contrary to granitoids of similar age such as those of the Karagwe-Ankolean Belt, which are metalliferous, our reconnaissance survey found that the Ndanda-Masasi meta-granitoids have uneconomic concentration of most important metals.     

SPOT卫星遥感技术与上海地质制图

提出上海地质制图运用卫星遥感技术的思路；认为利用SPOT卫星遥感资料可快速更新地理底图和直接编制1：25000以上比例尺的现势性好，信息丰富的地质影象图。     

Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS

The main goal of this study is to investigate the application of the probabilistic-based frequency ratio (FR) model in groundwater potential mapping at Langat basin in Malaysia using geographical information system. So far, the approach of probabilistic frequency ratio model has not yet been used to delineate groundwater potential in Malaysia. Moreover, this study includes the analysis of the spatial relationships between groundwater yield and various hydrological conditioning factors such as elevation, slope, curvature, river, lineament, geology, soil, and land use for this region. Eight groundwater-related factors were collected and extracted from topographic data, geological data, satellite imagery, and published maps. About 68 groundwater data with high potential yield values of ≥11 m³/h were randomly selected using statistical software of SPSS. Then, the groundwater data were randomly split into a training dataset 70 % (48 borehole data) for training the model and the remaining 30 % (20 borehole data) was used for validation purpose. Finally, the frequency ratio coefficients of the hydrological factors were used to generate the groundwater potential map. The validation dataset which was not used during the FR modeling process was used to validate the groundwater potential map using the prediction rate method. The validation results showed that the area under the curve for frequency model is 84.78 %. As far as the performance of the FR approach is concerned, the results appeared to be quite satisfactory, i.e., the zones determined on the map being zones of relative groundwater potential. This information could be used by government agencies as well as private sectors as a guide for groundwater exploration and assessment in Malaysia.     

基于多源遥感数据的云南西双版纳地区地质构造解译

西双版纳地区地处云南横断山系纵谷南段西双版纳热带雨林区,常年高温多雨、植被茂密、地形复杂,出露地质信息少,给区域地质调查工作造成了很大的困难。为有效获取该地区更多的地质信息,配合使用Landsat 8 OLI、SPOT 6、Sentinel-1A雷达遥感数据和高程数据等多源数据,基于建立的解译标志,提取区内地质构造信息,大至宏观上的大地构造背景信息、小至露头尺度构造信息,并详细分析区内各类型线性断裂构造的遥感影像特征与地质意义。提取的构造结果表明,原地质构造与解译构造吻合度较高,同时新解译出大量的线性构造。研究成果为完善该地区的地质构造轮廓与特征认识提供了丰富的遥感基础资料。     

新疆乌什塔拉地区遥感、化探、地质综合找矿研究

新疆乌什塔拉地区位于中亚天山成矿带的东南部,该成矿带上已发现众多矿床。在乌什塔拉地区开展地质矿产调查时,为快速确定找矿靶区,以遥感技术为先导,利用ETM+自然彩色合成、最小噪声分离等方法解译岩体、断层;之后对ETM+数据采用掩膜技术剔除干扰后,利用主成分分析法提取矿化蚀变信息;并将地质、化探、遥感等多元信息叠合进行综合分析。结果表明,利用主成分分析法提取的蚀变信息与化探异常、岩体、断层吻合较好,蚀变信息在工作区西北部、北部(喀拉塔格附近)及南部(阿拉塔格附近)具有面状、带状分布特征,而在工作区西南部、中部(阿勒格乌拉西)及东南部(扎合布拉格北沟附近)等地具有线状特征。经综合分析、筛选,共圈定了19处找矿靶区,对其中5处重点部位进行野外检查,发现利用主成分分析法提取的蚀变异常多由岩脉、断层、夕卡岩化、黏土化、褐铁矿化等引起。对蚀变带取样化学分析,确定了金、铜、铁矿化点3处。     

Groundwater potentiality mapping in the Sinai Peninsula, Egypt, using remote sensing and GIS-watershed-based modeling

Systematic planning for groundwater exploration using modern techniques is essential for the proper utilization, protection and management of this vital resource. Enhanced Thematic Mapper Plus (ETM+) images, a geographic information system (GIS), a watershed modeling system (WMS) and weighted spatial probability modeling (WSPM) were integrated to identify the groundwater potential areas in the Sinai Peninsula, Egypt. Eight pertinent thematic layers were built in a GIS and assigned appropriate rankings. Layers considered were: rainfall, net groundwater recharge, lithology or infiltration, lineament density, slope, drainage density, depth to groundwater, and water quality. All these themes were assigned weights according to their relative importance to groundwater potentiality and their corresponding normalized weights were obtained based on their effectiveness factors. The groundwater potentiality map was finally produced by WSPM. This map comprises five gradational groundwater potentiality classes ranging from very high to very low. The validity of this unbiased GIS-based model was tested by correlating its results with the published hydrogeological map of Egypt and the actual borehole yields, where a concordant justification was reached. The map declared that the Sinai Peninsula is generally of moderate groundwater potentiality, where this class encompasses an area of 33,120?km² which represents 52% of its total area.     

Use of satellite remote sensing data in the mapping of global landslide susceptibility

Satellite remote sensing data has significant potential use in analysis of natural hazards such as landslides. Relying on the recent advances in satellite remote sensing and geographic information system (GIS) techniques, this paper aims to map landslide susceptibility over most of the globe using a GIS-based weighted linear combination method. First, six relevant landslide-controlling factors are derived from geospatial remote sensing data and coded into a GIS system. Next, continuous susceptibility values from low to high are assigned to each of the six factors. Second, a continuous scale of a global landslide susceptibility index is derived using GIS weighted linear combination based on each factor’s relative significance to the process of landslide occurrence (e.g., slope is the most important factor, soil types and soil texture are also primary-level parameters, while elevation, land cover types, and drainage density are secondary in importance). Finally, the continuous index map is further classified into six susceptibility categories. Results show the hot spots of landslide-prone regions include the Pacific Rim, the Himalayas and South Asia, Rocky Mountains, Appalachian Mountains, Alps, and parts of the Middle East and Africa. India, China, Nepal, Japan, the USA, and Peru are shown to have landslide-prone areas. This first-cut global landslide susceptibility map forms a starting point to provide a global view of landslide risks and may be used in conjunction with satellite-based precipitation information to potentially detect areas with significant landslide potential due to heavy rainfall.     

高光谱遥感技术在基岩区区域地质调查填图中的应用

高光谱遥感以其超高的光谱维数据优势,使对地物的精细识别和区分能力较传统多光谱遥感数据有质的提升.以HyMap高光谱数据和高分五号高光谱数据为数据源,选择中国西部基岩区区域开展了高光谱遥感岩性-构造解译工作.通过图像增强处理后,对研究区地层单元、岩体/脉、构造等进行了遥感地质解译.对比已有的地质调查结果,发现高光谱遥感数...     

基于ASTER数据的石头口门水库水质参数定量遥感反演

提出了一种基于神经网络和遥感图像相结合的水质反演模型,构建了含有一个隐含层的两层BP神经网络反演模型.以石头口门水库为例,采用ASTER数据分析了石头口门水库水质污染状况,通过波段的DN值和常规监测数据建立能反映水质状况的污染物监测模型.以ASTER数据的前三个波段的反射率作为输入,溶解氧(DO),生化需氧量(BOD),氨氮(NH3-N)含量浓度作为输出,反演了石头口门水库的水质参数浓度.并给出石头口门水库水质污染状况分析,得出污染物浓度随着远离上游而增加.     

Reflectance spectroscopy and remote sensing data for finding sulfide-bearing alteration zones and mapping geology in Gilgit-Baltistan,Pakistan

Gilgit-Baltistan region is covering the northern most part of Pakistan where the rocks of the Kohistan-Ladakh island arc and Karakoram plate are exposed. The area has greater potential for precious and base metals deposits which are needed to be explored through spectroscopy and remote sensing techniques. Minerals and rocks can nowadays be identified through the measurement of their absorption and reflectance features by spectroscopic analysis. Spectral reflectance analysis is also very important in selecting the appropriate spectral bands for remote-sensing data analysis of unknown or inaccessible areas. In this study, reflectance spectra in the spectral range of 0.35–2.5 μm of different types of unaltered and altered rocks found in the Machulu and Astor areas of northern Pakistan were obtained using an ASD spectroradiometer. The fresh rock samples showed low spectral reflectance as compared to the altered rock samples. The minerals jarosite, goethite, and hematite showed depth of absorption minima in the range of 0.4–1.15 μm due to the presence of iron (Fe), while jarosite and limonite showed absorption depth at 2.2 μm due to the presence of hydroxyl ions (OH^¯). The clay minerals montmorillonite and illite showed absorption depth at 1.93 and 2.1 μm, respectively. Muscovite showed depth of absorption minima at 1.4 and 1.9 μm in some samples. Calcite showed deep absorption minima at 2.32 μm, while anorthite showed absorption features at 1.4, 1.9, 2.24, and 2.33 μm. Olivine showed a slight depressed absorption feature at 1.07 μm. The copper-bearing phases malachite, chrysocolla, and azurite showed, respectively, a broad absorption feature in the range of 0.6–0.9 μm, a small absorption at 1.4 μm, and a deep absorption at 1.93 μm. The unmineralized samples exhibited high reflectance in the wavelength ranges of 0.6–0.8, 1.6–1.9, 2.0–2.3, 2.1–2.25, and 2.4–2.5 μm, respectively, while the mineralized samples showed reflectance bands in the wavelength ranges of 0.4–0.6, 1.3–1.8, and 2.1–2.2 μm. On this basis, the band ratio combinations 7/5–4/3–6/3 and 7/5–6/3–4/3 of Landsat 8 and 4/7–4/3–2/1 for ASTER data were found to be very effective in the lithological differentiation of major rock units.     

ASTER数据在遥感蚀变填图中的应用研究 ——以内蒙古花敖包特银铅锌多金属矿床为例

花敖包特是位于内蒙古西乌珠穆沁旗的一个大型脉状银铅锌多金属矿床,其矿区的蚀变矿物主要是黏土矿物、绿泥石和方解石,此外还可见孔雀石、萤石和赤铁矿等局部蚀变矿化.结合花敖包特矿床的地质特征,本研究利用高级星载热辐射和反射探测器(ASTER)获取的遥感数据进行蚀变矿物填图.利用ASTER可见光-近红外波段和短波红外波段,对校...