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地物波谱信息是多光谱遥感的基础、光谱信息所具有的特征反映了地物本身的存在、变化和差异。作为花岗岩岩石物理特性研究的一部分，笔者选择了广东早古生代两类花岗岩为研究对象测定并分析了两类花岗石及其围岩的反射光谱特征，并且依据它们光谱特性的差异。确定了遥感图象处理的技术和方法，为下一步该地区遥感图象识别花岗岩奠定了基础。 相似文献
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高光谱遥感是一种利用成像光谱仪同时获取地物目标辐射、光谱和空间等多重信息遥感的技术,水文地质是高光谱遥感重要的应用领域之一,通过高光谱遥感图像分析,能够提取大区域包气带及含水系统的水文地质信息,可为水文地质环境的识别及实时监测、地下水资源高效管理、地下水数值模型构建等提供科学数据。通过调研凝练了高光谱遥感基本原理方法及其在水文地质方面的应用研究,重点总结了地下水环境污染和水文信息反演方面的高光谱遥感应用研究进展,分析了高光谱遥感水文地质应用所面临的挑战,并展望了高光谱遥感水文地质应用研究的发展趋势,主要包括:通过土壤和植被的光谱信息实现对研究区包气带土壤重金属污染状况的大面积、短周期连续快速监测;在高光谱图像中提取构造、地层岩性等地质和水文地质特征,以环境指示因子（如植被）为有效补充,获取饱和带地下水环境信息;通过高光谱图像识别植被类型、计算植被覆盖度、分析叶片反射光谱特征并建立模型反演土壤含水量和地下水位,为研究和保护缺水地区生态环境提供数据支撑。 相似文献
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新疆西准噶尔包古图斑岩铜矿蚀变岩石的光谱特征及其意义 总被引：2，自引：1，他引：1
地物的光谱特征是遥感识别地物的主要依据,不同地物的反射光谱具有其特定的吸收特征谱带。利用ASD和PIMA反射光谱测试仪对新疆西准噶尔包古图斑岩铜矿Ⅱ号、Ⅴ号斑岩铜矿岩体的蚀变围岩(地表采样与钻井采样)进行测试,并对结果进行分析总结。根据反射光谱特征谱带获得蚀变矿物的种类,确定了岩体的蚀变矿物组合,得到反射光谱的吸收谷在ASTER数据中所处的波段;对反射光谱曲线进行数学积分,获得ASTER数据中的强吸收波段。将以上2种分析得到的吸收性波段组合应用于蚀变遥感异常信息提取,结果表明蚀变遥感异常与野外地质特征吻合程度较高。反射光谱分析表明确定岩石矿物的反射光谱特征谱带是进行遥感信息提取工作的前提,波段组合选取对提取蚀变遥感异常信息非常重要。 相似文献
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多光谱遥感找矿技术在荒漠戈壁滩地区已取得显著成效,但遥感技术在低山丘陵地带的使用资料较少,鉴于此,本论文以低山丘陵地貌类型的新疆阿勒泰的阿巴宫多金属矿带的铅锌矿床为研究区,研究矿区的蚀变信息的反射光谱特征,及在多光谱数据中各个波段的吸收性;利用ASTER多光谱遥感数据提取阿巴宫铅锌矿的构造信息,及岩性信息及蚀变异常信息,提取的各类信息与实际地质情况相吻合;对研究区的地质、化探、遥感找矿信息进行综合分析,遥感异常与地质资料信息吻合性较高,化探异常范围表现出"面"性特点,遥感异常表现为"点"性特点,遥感技术具有快速准确地缩小矿产勘查范围的优势。 相似文献
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高光谱遥感在土壤重金属污染监测中的应用 总被引：1，自引：0，他引：1
高光谱技术的快速发展为宏观、快速获取土壤中的重金属元素信息提供了有力支撑。选择云南大红山铜矿作为研究区,对其土壤进行采样,其中水样、底泥样和土壤样各30个,共90个样本。使用ASD光谱仪对样品进行光谱分析,借助ENVI软件对原始测量数据进行平滑与去噪处理,利用与重金属相关的官能团在VNIR和SWIR波段光谱吸收特征的变化提取光谱吸收特征参数。通过与预处理后研究区的HyMap遥感图像数据进行光谱相似度及光谱参数相似度的对比,验证了将ASD实测光谱与HyMap高光谱遥感数据结合监测研究区重金属污染的可行性。认为高光谱遥感在土壤重金属监测方面有着广泛的应用前景。 相似文献
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赋存于地下的油气藏(田)一般都存在向地表微渗漏,油气藏上方烃类垂向微渗漏可引起近地表物质的物理与化学性质变化,形成地物反射光谱特征异常,这为航空高光谱技术用于探测烃类微渗漏信息成为可能,成为油气选区调查和寻找油气的有效技术方法。在准东2500 km2范围内开展航空高光谱油气探测技术研究,获取了研究区CASI/SASI/TASI航空高光谱遥感数据,提取了与油气及与油气相关的粘土、碳酸盐、二价铁等信息,通过与已发现的油气藏(田)高光谱油气异常信息的对比研究,在准东地区落实了柳树河子和三台镇2个油气有利区。 相似文献
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新疆卡拉塔格地区位于东天山成矿带,地质矿产资源丰富,铜金及多金属矿床集中,找矿潜力较大。铜金矿床地表矿化蚀变现象明显,发育的褐铁矿化+黄钾铁矾化+绢云母化形成地物反射光谱特征,为高光谱遥感地空综合预测方法用于探测铜金矿化蚀变信息成为可能,并成为寻找铜金矿床的有效技术方法。本文在卡拉塔格地区开展了航空高光谱和地面高光谱在铜金多金属矿床找矿研究,分别采用Hy Map航空成像光谱仪和Field Spec Pro FR光谱仪,获取了研究区Hy Map航空高光谱数据、地面准同步定标数据、地面高光谱数据,提取并筛选了基于Hy Map航空高光谱影像的成矿有利蚀变信息,在此基础上对该区红山铜金矿床航空-地面高光谱提取的蚀变信息进行了综合剖析,并结合矿区地质背景,建立了红山铜金矿床高光谱遥感地空综合找矿模型,经对比分析在该区圈定了2处找矿预测区。说明高光谱遥感地空综合预测方法在该区得到了很好的应用效果。 相似文献
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Extracting desertification from Landsat TM imagery based on spectral mixture analysis and Albedo-Vegetation feature space 总被引：1，自引：0，他引：1
Land desertification has been a worldwide environmental problem. Desertification monitoring and evaluation are very important content in desertification context. Scientific and accurate evaluation of desertification can provide scientific basis for decision making in mitigating desertification. Because of the advantage of large amount of information, short cycle and broad scope of data, less restrictions on the human and material resources and so on, remote sensing has become an important technology to monitor land desertification in the past 30 years. Desertification is the most typical and serious form of desertification in China, especially in the oasis zone distributed along inland rivers or in the lower reaches of inland rivers in northwestern China. Quantitative evaluation of the current desertification remote sensing methods used is mostly obtained through the vegetation index and vegetation cover, to gain information on the extent of desertification. As the arid and semiarid sparse vegetation cover, soil and soil moisture on the most common vegetation index have a greater effect. First, based on the spectral mixture analysis model, three kinds of endmember consisting of vegetation, water and bare soil were selected. The image dimensionality was reduced by the minimum noise fraction (MNF). The pixel purity index transformation was used to narrow the range of the endmember. On the scatter plot of MNF, three kinds of endmember were selected, and relative abundance distribution of each component was obtained by using linear spectral mixture model. Second, a spectral feature space composed of vegetation component and land surface albedo retrieved from Landsat TM Imagery was constructed to evaluate desertification present condition and degree quantificationally. Last, an empirical study was carried out taking the middle reaches of Heihe River as an example. Results indicated that this method makes full use of multi-dimensional remote sensing information, reflecting the desertification land cover, water, thermal environment and its changes, with a clear biophysical significance, and the index is simple, easy to obtain, high precision, and is conducive to quantitative analysis, monitoring and desertification assessment of desertification. It was rather ideal to assess desertification on the basis of Albedo-Vegetation feature space: correct prediction proportion of testing samples reached 90.3 %. This method was beneficial to the desertification quantitative analysis and monitoring with the characteristics of simple index, easy accessibility and high accuracy. 相似文献
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青海湖地区生态环境动态变化遥感监测 总被引：9，自引：0，他引：9
由于青海湖地区的生态环境较为脆弱，且人类活动进一步加剧，人口、资源与环境的矛盾日渐突出，因此，近年来．青海湖及其周边地区的生态环境出现了明显变化，主要表现在水位下降及水域面积减小、草原退化、沙质荒漠化土地面积扩大等。文章采用1975年MSS卫星图像及1987、2000年TM卫星图像作为遥感信息源，并结合地理信息系统方法，旨在查明青海满地区耕地、沙质荒漠化土地和水域等生态环境要素的时空演化规律，为青海湖地区实现资源开发与环境协调发展提供科学依据。监测结果表明，25a来，青海湖地区的耕地及沙质荒漠化土地面积出现明显的扩大，而水域面积出现明显缩小，同时由于湖周各河流土壤侵蚀的加剧，在部分河流入湖处泥沙淤积较为严重，生态环境出现明显恶化。 相似文献
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Wetlands play an important role in water conservation, environmental protection, and biodiversity conservation. Remote sensing is an economical and efficient technique for wetland monitoring which can limit disturbance in sensitive areas and support wetland conservation. In this paper, we used three phases of Thematic Mapper/Enhanced Thematic Mapper plus (TM/ETM+) remote sensing images from October 1989, October 1999, and October 2009 to study wetlands in Xingzi County. The images were segmented using the object-oriented remote sensing image interpretation software eCognition Developer 8.64, then segmented images were classified by slope, digital elevation model (DEM) data, Normalized Difference Vegetation Index (NDVI), Specific Leaf Area Vegetation Index (SLAVI), and Land and Water Masks (LWM) index to produce land type classification maps. Land use change information was obtained by analyzing the superposition of two classification maps of the wetland area from different years. The results showed that landscape patches in Xingzi County displayed fragmentation in their spatial distribution over time. Based on an index of changes in landscape patches, the fastest growing landscape type is grassland, while the fastest decreasing type is irrigated land. Dominant driving factors of changes in Xingzi County’s wetland landscape are population growth and policy changes. 相似文献
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基于RS和GIS的南汀河流域石漠化评价 总被引：3，自引：2，他引：1
以南汀河流域ETM、DEM和地质岩性数据为基础数据,应用遥感和地理信息技术提取了石漠化评价因子,构建石漠化评价指标并对石漠化强度进行评价。运用空间叠加分析和统计分析方法对石漠化信息进行分析,得到流域岩溶区石漠化强度分级特征,利用土地利用数据及石漠化信息与土地利用/覆盖类型的相关关系以分析土地利用方式对石漠化的影响。结果表明（1）研究区石漠化强度为:中度石漠化>轻度石漠化>潜在石漠化>强度石漠化>无石漠化>极强度石漠化。（2）强度石漠化区和极强度石漠化区主要分布在以耕地和疏林地为主要覆盖类型的区域。说明了造成石漠化的因素除裸岩率、植被、坡度、岩性等主要影响因子外,人们利用土地的方式对石漠化也具有很大促进作用。 相似文献
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面向对象的喀斯特地区石漠化遥感信息提取研究——以贵州省大方地区为例 总被引：1，自引：1，他引：0
针对现有基于像素的监督和非监督分类方法在地质环境复杂、地形起伏较大、阴影明显的喀斯特石漠化地区难以满足石漠化信息提取精度要求的问题,采用基于纹理特征数据和地形数据辅助面向对象方法进行喀斯特地区石漠化信息的提取。该方法首先依据石漠化分布在TM/ETM+影像面积大小不均匀的特征,利用纹理和地形因子计算最优分割参数进行多尺度分割;然后根据植被覆盖率、岩石裸露率以及坡度因子构建石漠化分级指标;最后参照石漠化分级标准、光谱信息以及纹理特征等建立的分类规则提取喀斯特地区石漠化信息。选取贵州省石漠化严重的大方县时序TM/ETM+影像进行石漠化信息提取试验,结果表明:与基于像素的监督分类和非监督分类方法相比,基于面向对象的分类可以有效地减少因复杂地形导致石漠化信息提取结果"椒盐化"现象,提取精度明显优于基于像素的监督分类和非监督分类方法。 相似文献
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基于遥感和GIS的塔里木河下游土地荒漠化的动态变化 总被引：7，自引：0，他引：7
塔里木河下游是土地荒漠化发展变化的典型区域.以遥感(RS)、地理信息系统(GIS)作为荒漠化信息获取与分析的工具,利用2个不同时段的遥感影像对塔里木河下游10年土地荒漠化进行了动态监测.结合区域环境特点,对土地荒漠化的动态变化规律进行了系统研究.结果显示该地区轻度荒漠化的土地面积有所减少,但总的荒漠化程度却有所增加.其主要原因是由于近年来的大量开荒造田,以及对塔里木河水资源的不合理利用,导致中下游天然植被大面积衰败和死亡,尤其是胡杨林面积锐减,致使荒漠化程度加重. 相似文献
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Kaixiang Zhang Xueling Wu Ruiqing Niu Ke Yang Lingran Zhao 《Environmental Earth Sciences》2017,76(11):405
Landslide susceptibility mapping is an indispensable prerequisite for landslide prevention and reduction. At present, research into landslide susceptibility mapping has begun to combine machine learning with remote sensing and geographic information system (GIS) techniques. The random forest model is a new integrated classification method, but its application to landslide susceptibility mapping remains limited. Landslides represent a serious threat to the lives and property of people living in the Zigui–Badong area in the Three Gorges region of China, as well as to the operation of the Three Gorges Reservoir. However, the geological structure of this region is complex, involving steep mountains and deep valleys. The purpose of the current study is to produce a landslide susceptibility map of the Zigui–Badong area using a random forest model, multisource data, GIS, and remote sensing data. In total, 300 pre-existing landslide locations were obtained from a landslide inventory map. These landslides were identified using visual interpretation of high-resolution remote sensing images, topographic and geologic data, and extensive field surveys. The occurrence of landslides is closely related to a series of environmental parameters. Topographic, geologic, Landsat-8 image, raining data, and seismic data were used as the primary data sources to extract the geo-environmental factors influencing landslides. Thirty-four layers of causative factors were prepared as predictor variables, which can mainly be categorized as topographic, geological, hydrological, land cover, and environmental trigger parameters. The random forest method is an ensemble classification technique that extends diversity among the classification trees by resampling the data with replacement and randomly changing the predictive variable sets during the different tree induction processes. A random forest model was adopted to calculate the quantitative relationships between the landslide-conditioning factors and the landslide inventory map and then generate a landslide susceptibility map. The analytical results were compared with known landslide locations in terms of area under the receiver operating characteristic curve. The random forest model has an area ratio of 86.10%. In contrast to the random forest (whole factors, WF), random forest (12 major factors, 12F), decision tree (WF), decision tree (12F), the final result shows that random forest (12F) has a higher prediction accuracy. Meanwhile, the random forest models have higher prediction accuracy than the decision tree model. Subsequently, the landslide susceptibility map was classified into five classes (very low, low, moderate, high, and very high). The results demonstrate that the random forest model achieved a reasonable accuracy in landslide susceptibility mapping. The landslide hazard zone information will be useful for general development planning and landslide risk management. 相似文献
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Feng Zhang Ying Li Sihan Liu Shaohua Zhao Yanting Wu 《Journal of Earth System Science》2014,123(2):319-328
Landscape patterns and ecological processes have been in long-term research focus in the field of landscape ecology, but how to measure their quantitative relations is still open. This work chooses the Hulunbeier grassland as the study area where ecosystem shows high vulnerability, frequent evolvement of landscape patterns and ecological processes. With remote sensing technology, the relationships between landscape patterns and ecological processes were analyzed quantitatively from multi-scale, multi-temporal and time series perspective. Firstly, the information about the current situation and change of landscape patterns and ecological processes are obtained from HJ-1 (Environmental and Disaster Small Satellite) and LANDSAT TM (Thermal Mapper) data. Secondly, SPOT NDVI (Normalized Difference Vegetation Index) data during 2000–2008 are used to analyze the dynamic changes of ecological processes, and to simulate its inter-annual variety at pixel scale. Finally, the dynamic change trends of ecological processes of grassland vegetation are described. The results indicate that the unchanged ecosystem types account for most of the study area, unused land in the central part expands continuously which results in the increase of desertification, and most ecosystem types in the eastern part are changed to grassland and woodland. Furthermore, the vegetation vulnerability is the highest in the grassland-dominated region, the second in grassland–farmland–woodland transition, and the smallest in the woodland-dominated region, where the stability is enhanced in turn. Due to the dynamic change of vegetation, it can be concluded that the study area underwent ecological processes of vegetation cover with a negative trend and a changed phenology. 相似文献