共查询到20条相似文献，搜索用时 31 毫秒
1.
Validating gap-filling of Landsat ETM+ satellite images in the Golestan Province,Iran 总被引：2，自引：0，他引：2
M. Mohammdy H. R. Moradi H. Zeinivand A. J. A. M. Temme H. R. Pourghasemi H. Alizadeh 《Arabian Journal of Geosciences》2014,7(9):3633-3638
The Landsat series of satellites provides a valuable data source for land surface mapping and monitoring. Unfortunately, the scan line corrector (SLC) of the Landsat7 Enhanced Thematic Mapper plus (ETM+) sensor failed on May 13, 2003. This problem resulted in about 22 % of the pixels per scene not being scanned and has seriously limited the scientific applications of ETM+ data. A number of methods have been developed to fill the gaps in the incorrect images. Most of these methods have problems in heterogeneous landscapes. We applied and validated a simple and effective gap-fill algorithm developed by the US Geological Survey to a study area in the Golestan Province in the north of Iran. This algorithm operates under the assumption that the same-class neighboring pixels around the unscanned pixels have similar spectral characteristics, and that these neighboring and unscanned pixels share patterns of spectral differences between dates. For validation, unsupervised land use classification was performed on both gap-filled SLC-off data and the original “sound” data set. Classification results and accuracies were very comparable. 相似文献
2.
基于Landsat-7ETM+SLC-OFF影像的山地冰川流速提取与评估——以Karakoram锡亚琴冰川为例 总被引：7，自引：6，他引：1
Landsat-7机载扫描行校正器（Scan Line Corrector,SLC）失效后的ETM+影像（SLC-OFF影像）约有22%的数据缺失,严重限制了该影像在冰川研究中的应用,特别对长期缺乏高质量遥感影像的高亚洲地区冰川运动连续监测产生较大影响。以Karakoram 中部最大的锡亚琴冰川为例,初步评估了Landsat-7 ETM+SLC-OFF影像在山地冰川表面流速提取方面的适用性和可行性。选取2009年和2010年两景SLC-OFF影像,运用局部直方图匹配法（Local Linear Histogram Match,LLHM）和加权线性回归法（Weighted Liner Regression,WLR）修复缺失数据条带,并利用亚像元互相关方法对修复后两景影像进行冰川表面流速估算。结果表明,LLHM和WLR两种方法均能有效修复冰川区Landsat-7 SLC-OFF影像,其冰流估算结果与同期Landsat-5TM 影像的冰流结果较为一致,三者冰流速估算精度分别为±5.9m ·a-1、±6.3m ·a-1和±4.0m ·a-1,验证了Landsat-7 SLC-OFF 影像在山地冰川流速监测中的应用潜力。 相似文献
3.
卫星遥感在西藏安多幅1∶25万区域第四纪地质调查中的应用 总被引：7，自引：3，他引：4
对西藏安多县1∶25万图幅的ETM+图像进行几何精校正和镶嵌后,选取ETM+7、ETM+4、ETM+3波段进行假彩色合成并与全色波段融合,获得研究区1∶25万ETM+影像图;根据不同地质体的影像特征并结合野外踏勘,建立了遥感解译标志;对沉积物、地貌、水系及新构造等进行了初步目视解译,编制了1∶25万第四纪遥感解译图;结合野外地质调查,对研究区的第四纪沉积物的成因类型和分布范围、地貌特征及分区、新构造运动等方面进行了研究。区内分布最广的是晚更新世的冰水、冰碛物及冲洪积物;区内不仅存在晚更新世冰蚀谷,而且发育规模较大的中更新世古冰蚀谷;通过线性影像、水系及洪积扇的偏转等特征,对区内新构造进行了识别及活动性质的初步判断。此研究不但较好地体现了遥感技术在高原区域第四纪地质调查中应用的优点,而且为青藏高原隆升及其环境变迁的研究提供了参考资料。 相似文献
4.
This study examines linear spectral unmixing technique for mapping the surface soil types using field spectroscopy data as the reference spectra. The investigated area is located in North Sinai, Egypt. The study employed data from the Landsat 7 ETM+ satellite sensor with improved spatial and spectral resolution. Mixed remotely sensed image pixels may lead to inaccurate classification results in most conventional image classification algorithms. Spectral unmixing may solve this problem by resolving those into separate components. Four soil type end-members were identified with minimum noise fraction and pixel purity index analyses. The identified soil types are calcareous soils, dry sabkhas, wet sabkhas, and sand dunes. Soil end-member reference spectra were collected in the field using an ASD FieldSpec Pro spectrometer. Constrained sum-to-one and non-negativity linear spectral unmixing model was applied and the soil types map was produced. The results showed that linear spectral unmixing model can be a useful tool for mapping soil types from ETM+ images. 相似文献
5.
随着时间的推移,卫星传感器的老化会使得原有的辐射定标参数文件(CPF)失效。最典型的当属Landsat-5卫星,该卫星自1984年发射以来,已经进行了多次CPF修正;而Landsat-7卫星的CPF也经过了数次修改,以保证辐射校正结果的准确性。以Landsat TM/ETM+遥感影像为例,分别以2003、2009年的CPF对它们进行辐射校正,并对结果进行对比。结果表明,除ETM+的绿光波段外,TM、ETM+影像基于2009年CPF计算的各波段均值都要小于2003年。而这一变化也使得由此计算的指数产生差异：归一化植被指数(NDVI)间的差异可达0.48%,建筑用地指数(IBI)间的差异可达5.94%。 相似文献
6.
Coastline detection has been of major interest for environmentalists and many methods have been introduced to detect coastline automatically. Remote Sensing techniques are the most promising ones to deliver a satisfactory result in this regard. In our study, the objective was to retrieve performance level of certain image processing techniques vigorously used for the purpose to delineate coastline automatically and they were tested against two images acquired almost on the same period by LISS III and LANDSAT ETM+ sensors. The algorithms used in the study are Water Index, NDVI, Complex Band Ratio, ISODATA, Thresholding, ISH Transfirmation techniques. Accuracy of the shoreline detection by classifying the image in land and water has been tried to be estimated in three ways, firstly with comparison to the visually interpreted high resolution google earth image, secondly field collected GCP data of reference points of classes and thirdly the raw image itself. But problem in temporal disparity caused the constraint doing accuracy assessment from the first two reference data and maps along the coast. As a whole although four techniques among six, show satisfactory results namely density slicing, ISODATA classification, Water Index and ISH transformation technique, in the case of LISS-III and ETM+, Water Index (with kappa value being 0.95 for LISS-III and 0.97 for ETM+) and Intensity-Hue-Saturation transformation techniques give better performance. Sensor to sensor variation might have introduced certain differences in shoreline detection in images of same season with similar tidal influence. 相似文献
7.
Extraction of soil moisture from RADARSAT-1 and its role in the formation of the 6 December 2008 landslide at Bukit Antarabangsa,Kuala Lumpur 总被引：2，自引：0，他引：2
Abdalhaleem Abdalla Hassaballa Omar F. Althuwaynee Biswajeet Pradhan 《Arabian Journal of Geosciences》2014,7(7):2831-2840
Active microwave has a huge potential in the estimation of soil moisture especially over large areas where the meteorological observations are seldom. The large contrast in dielectric constant between different types of soil is considered as the main factor for measuring the moisture content. This study is aimed at the extraction of soil moisture over the areas of Bukit Antarabangsa, Malaysia using active microwave remote sensing technique in order to examine the impact of moisture content dynamically on landslides occurrence, which have been a basic challenge that threaten Bukit Antarabangsa area, particularly in falling of monsoon seasons. This study addressed a specific event that took place in 6 December 2008 due to a very high level of precipitation that resulted in a raise in ground water table causing the occurrence of landslide. One Radarsat-1 image acquired in July 2008 before the landslide was used for generating the moisture content map. The resultant moisture content map showed a reasonable distribution of the moisture concentrated over the forest areas which has previous records landslides. Moreover, it was found that the previous landslide events were within the high moisture zone indicating the presence of high moisture content. Subsequently, three moisture maps were extracted from Landsat-7 ETM+, which were then used for validation process. A statistically based validation technique was used by calculating area under the curve that correlates the high moisture values of three images. In order to validate the Landsat-7 ETM+ moisture content, monthly rainfall data was plotted against the high moisture values derived from three Landsat-7 images. The validation result indicated an acceptable compatibility. The spatial relation between high moisture areas in Landsat-7 ETM+ images along the year resulted in a good fitting in the high–low moisture distribution areas with sensitivity ranged of 60–70 %. Finally, the moisture content map generated by Radarsat-1 was validated using a landslide inventory map. The resultant validation produced an area under curve of 0.704 (70 %). 相似文献
8.
选择黑龙江省扎龙湿地自然保护区作为研究区,开展了基于Dempster-Shafer理论的证据推理方法(ER)湿地遥感空间分类研究,提出了一种针对ETM+多波段遥感影像的计算证据支持度的新算法,利用证据推理方法集成研究区5个时相的ETM+影像。研究表明,证据推理方法能有效集成多时相ETM+影像实现湿地空间分类,其总体分类精度比基于任一单时相影像的最大似然法(MLC)分类精度都高,提高幅度约为2%~12%。 相似文献
9.
The Rockhole area, Northern Territory, Australia, hosts a number of Proterozoic unconformity-related uranium deposits. The geology of the area features within Paleoproterozoic rocks of the Pine Creek Orogen, near the unconformity with overlying platform cover sandstone of the Paleo- to Mesoproterozoic McArthur Basin. Landsat Enhanced Thematic Mapper plus (ETM+) data was used in the Rockhole area to assist in mapping geological structures and lithology, and to identify anomalous concentrations of ferrous minerals, the product of alteration, which can be indicators of buried uranium mineralization. Several image-processing procedures were applied to the ETM+ data to identify, isolate and enhance mineralogical information as simple and complex false color composites. ETM+ 754 shown as red green and blue respectively was the best simple image. Overall, complex images based on Principal Component Analysis proved to be the most useful products. Sandstone, shale and siltstone, the target lithologies, Koolpin Formation, the target stratigraphic unit, and bleaching pattern due to the removal of iron(II) compounds, the target alteration pattern, were confidently mapped to provide information required by the mineral emplacement model, which ultimately identified areas of likely uranium mineralization. Thus the contrasting behavior of the two principle oxidation states of uranium and iron can be utilized to map/delineate bleached alteration zones associated with economic concentrations of uranium using multispectral sensors like Landsat or better hyperspectral sensors. 相似文献
10.
甲玛铜多金属矿经过一年的勘探工作,发现矿区外围工业矿体仍未圈闭,其找矿潜力巨大。为了验证在周边区域存在矿化的可能性,笔者运用遥感技术对矿区及其周边区域进行成矿预测研究,力图能为甲玛的进一步勘查提供依据。文中运用ETM+图像进行主成分分析、比值分析、MNF变换,通过蒙赛尔变换,形成HLS图像,根据Fe3+、Si、OH-在解译图像中显示出高亮度反射的特点,设定阈值,从而提取遥感矿化蚀变信息。解译结果与矿区IKONOS图像的蚀变、岩性解译结果相吻合,蚀变提取形态一致,从而确定了ETM+图像信息提取结果的正确性,证实了在甲玛及其外围采用ETM+图像提取与矿化有关的信息是可行的。引入ETM+图像TM6波段,合成746假彩色图像进行构造信息的解译,并综合构造的、蚀变的、地质的研究成果,利用GIS技术进行信息的分层提取和叠加分析,在甲玛铜多金属矿矿区周边圈定了6个找矿远景区,这些远景区主要分布在甲玛矿区的周围及其北部一定的辐射范围内,是甲玛矿区外围找矿的重点。目前该研究区域除甲玛、驱龙外,其他地方的勘查程度均较低,但文中采用ETM+图像提取各种成矿信息,再用高空间分辨率的IKONOS图像提取成矿信息,开展对比研究,验证了圈定的找矿远景区的客观性和正确性,从而可用于指导甲玛的外围及冈底斯成矿带的区域找矿勘查实践。 相似文献
11.
从分析ETM各波段图像的信息特征入手,在黄土覆盖等环境因素干扰严重的地区,利用遥感技术对其铀矿化的信息进行了提取.在ERDAS软件的支持下,应用图像融合、波段比值、主成分分析、光谱指数等技术方法,对ETM遥感影像数据进行增强处理.其中,图像融合与传统的图像融合略有不同,是在进行图像融合前将原始图像（ETM1～5,7）进行低通滤波处理,使得融合后的图像既保留高分辨率数据的空间信息,又保留低分辨率数据的光谱信息.在对研究区的遥感数据进行增强处理后,选取有利波段组合,圈定了有利铀成矿的远景区. 相似文献
12.
Ramesh Sivanpillai X. Ben Wu R. Srinivasan Charles T. Smith Michael G. Messina 《GeoJournal》2008,71(4):211-220
Comparing satellite data derived map products are affected by differences in data characteristics, image acquisition dates,
processing techniques, and classification schemes used for assigning pixels to a thematic class. By comparing two forest maps
generated from Landsat Enhanced Thematic Mapper Plus (ETM+) and Advanced Very High Resolution Radiometer (AVHRR) images acquired
on the same day, and processed using identical classification scheme and methods these differences were minimized. The ETM+
derived map had higher classification accuracy values and more precise area estimates than the AVHRR derived map. In the ETM+
derived map, 87 of the 599 verification data were misclassified, whereas in the AVHRR derived map, 155 of the 469 verification
data were misclassified. Detailed error analyses by land cover class revealed that a land use based definition of forest accounted
for 74% (64 out of 87) and 57% (89 out of 155) of the classification errors in ETM+ and AVHRR derived maps, respectively. 相似文献
13.
介绍了天然气水合物的遥感探测方法,即:首先选择适当的ETM+、ASTER以及Quickbird等遥感图像,分析可见光、短波红外、热红外波段的影像特征,反演地表温度;然后结合野外调查和前人资料,寻找天然气水合物的直接和间接遥感解译标志,进行遥感解译。研究结果表明,青藏高原天然气远景区出现的几种遥感解译标志包括:地表上空高温异常(尤其是水体上空)、泥火山、沼泽地水体中大量气泡和棕黄色沉淀物,以及碳酸盐化、粘土化等指示信息。本研究为进一步开展大规模天然气水合物遥感调查和圈定靶区提供了基础方法。 相似文献
14.
15.
遥感技术是地质填图工作的重要辅助技术方法。针对内蒙古额济纳旗地区的荒漠戈壁地貌景观特点,在地质填图中选取国产资源三号卫星遥感数据和ETM+遥感数据作为遥感解译的数据源,并分别对获取的遥感数据进行数据融合、几何校正（或精校正）、图像校正和镶嵌等数据处理。鉴于测区植被不发育,地表多以基岩和戈壁滩为主,资源三号遥感图像颜色单调。特将校正的资源三号图像与ETM+图像进行图像融合,融合后的图像既具有ETM+图像的丰富色彩信息,又保证了资源三号卫星图像的高空间分辨率,便于实施人机交互地质矿产信息提取。根据遥感影像特征,建立了地层、侵入体和构造的解译标志,提取了与岩性和构造相关的各类信息,结合地质资料进行综合判别解译,提高了地质填图工作的准确性,为荒漠戈壁地貌区的地质填图提供了技术支持。 相似文献
16.
Komeil Rokni Tajul Ariffin Musa Sharifeh Hazini Anuar Ahmad Karim Solaimani 《Natural Hazards》2015,78(1):219-230
The aim of this paper was to investigate the suitability of the pixel-level and product-level image fusion approaches to detect surface water changes. In doing so, firstly, the principal component analysis technique was applied to Landsat TM 2010 multispectral image to generate the PC components. Several pixel-level image fusion techniques were then performed to merge the Landsat ETM+ 2000 panchromatic with the PC1PC2PC3 band combination of Landsat TM 2010 imagery to highlight the surface water changes between the two images. The suitability of the resulting fused images for surface water change detection was evaluated quantitatively and visually. Finally, the support vector machine (SVM) technique was applied to the qualified fused images to map the highlighted changes. Furthermore, a product level fusion (PLF) approach based on various satellite-derived indices was employed to detect the surface water changes between ETM+ 2000 and TM 2010 images. The accuracy of the resulting change maps was assessed based on a reference change map produced using visual interpretation. The results demonstrated the effectiveness of the proposed approaches for surface water change detection, especially using the Gram Schmidt-SVM, PLF-NDWI, and PLF-NDVI methods which improved the accuracy of change detection over 99.70 %. 相似文献
17.
Jacques Rivoirard 《Mathematical Geology》2002,34(7):797-808
Kriging with external drift allows one to estimate a target variable, accounting for a densely sampled auxiliary variable. Contrary to cokriging, kriging with external drift does not make explicit the structural link between target variable and auxiliary variable, for the latter is considered to be deterministic. In this paper, we show that kriging with external drift assumes implicitly an absence of spatial dependence between the auxiliary variable and the residual of the linear regression of target variable on auxiliary variable at same point. This is the simple model with orthogonal residual, where cokriging is collocated and coincides with kriging of the residual. In this model, the cross-structure is proportional to the structure of the auxiliary variable, and the linear regression of target variable on auxiliary variable does not depend on the support. 相似文献
18.
以滇东北地区为例，通过对遥感地质异常的综合信息矿产预测方法进行了研究。在滇东北地区对ETM遥感图像进行岩性及构造的解译、遥感光谱异常提取等手段获得7项遥感地质异常信息因子，在GIS软件中，利用缓冲带（buffer zone）等方法将线性地质异常转化为面状异常，并通过空间分析确定各种遥感异常与已知矿产当量的关系，计算各主因子的二级因子得分，形成成矿预测栅格图像。通过栅格图像各通道间的复合运算分析进行遥感综合异常的定量圈定，最终在工作区圈定了多个不同级别的遥感综合异常。 相似文献
19.
A. Markandeyulu I. Patra B. V. S. N. Raju A. K. Chaturvedi P. S. Parihar 《Journal of the Geological Society of India》2012,80(3):382-392
The Paleo-Meso Proterozoic Gwalior basin (E - W), lying to NW fringe of Bundelkhand massif is represented by litho-package of lower arenaceous Par Formation and upper chemogenic Morar Formation. It is bounded by Indo-Gangetic alluvium in north and east, Kaimur sediments in west and Bundelkhand granitoids in south. Gwalior Basin has been the exploration target for uranium mineralization right from early 60’s. Surface radioactivity anomalies due to uranium has been reported in both Par and Morar Formations of Gwalior Group and Vindhyan sediments. Besides presence of syngenetic uranium in the system, presence of post-depositional faults and fractures are the favorable factors. Aeromagnetic survey was carried out by AMD in 2002 with N-S lines of 500 m interval covering 9406 line km. The data with sampling interval of 0.1 sec was corrected for spikes, diurnal variation, IGRF, heading and lag. Final processed images are prepared after suitable leveling and gridding. First vertical derivative of TMI-RTP and tilt-angle derivative images are used to map the litho-contacts, lineaments and structural features. Numerous NE-SW trending low amplitude and NW-SE trending high amplitude magnetic linears corroborate with quartz reefs and basic dykes respectively. Besides, E-W to WNW-ESE and ENE-WSW trending fractures are also evident from the processed image maps. Further, the Euler’s depth solution of gridded aeromagnetic data calculated for structural indices of 0 and 1 are very consistent in locating the position of the causative sources. Based on the amplitude and textural character of processed aeromagnetic data, alteration zone is delineated well within the Morar Formation. Enhanced Thematic Mapper (ETM+) image with 30m resolution was merged with IRS PAN 1D (5.8 m resolution) for better spatial/radiometric resolution to extract litho-contacts and lineament patterns. Merged PAN band-4 after linear contrast and edge enhancement techniques deciphered detailed lineament pattern, which corroborate the magnetic data. Merged ETM+ (RGB 751) and PC (PC1-PC2-PC5) images depict litho-logical contrast. Integration of aeromagnetic and satellite imagery data helped in understanding the structural fabric of the Gwalior Basin and to identify favorable loci of uranium mineralization. 相似文献
20.
J. Amanollahi C. Tzanis A. M. Abdullah M. F. Ramli S. Pirasteh 《International Journal of Environmental Science and Technology》2013,10(6):1245-1254
Particulate matter concentration and assessment of its movement pattern is crucial in air pollution studies. However, no study has been conducted to determine the PM10 concentration using atmospheric correction of thermal band by temperature of nearest dark pixels group (TNDPG) of this band. For that purpose, 16 Landsat Enhanced Thematic Mapper plus ETM+ images for Sanandaj and Tehran in Iran were utilized to determine the amount of PM10 concentration in the air. Thermal infrared (band 6) of all images was also used to determine the ground station temperature (GST b6) and temperature of nearest dark pixels group. Based on atmospheric correction of images using temperature retrieval from Landsat ETM+, three empirical models were established. Non-linear correlation coefficient with polynomial equation was used to analyze the correlations between particulate matter concentration and the ground station temperature for the three models. Similar analyses were also undertaken for three stations in Klang Valley, Malaysia, using 11 Landsat ETM+ images to show the effectiveness of the model in different region. The data analysis indicated a good correlation coefficient R = 0.89 and R = 0.91 between the trend of the result of temperature of nearest dark pixels group b6 ? (GST b6 ? GST) model and the trend of PM10 concentration in Iran and Malaysia, respectively. This study reveals the applicability of the thermal band of Landsat TM and ETM+ to determine the PM10 concentration over large areas. 相似文献