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1.
Snow cover depletion curves are required for several water management applications of snow hydrology and are often difficult to obtain automatically using optical remote sensing data owing to both frequent cloud cover and temporary snow cover. This study develops a methodology to produce accurate snow cover depletion curves automatically using high temporal resolution optical remote sensing data (e.g. Terra Moderate Resolution Imaging Spectroradiometer (MODIS), Aqua MODIS or National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR)) by snow cover change trajectory analysis. The method consists of four major steps. The first is to reclassify both cloud‐obscured land and snow into more distinct subclasses and to determine their snow cover status (seasonal snow cover or not) based on the snow cover change trajectories over the whole snowmelt season. The second step is to derive rules based on the analysis of snow cover change trajectories. These rules are subsequently used to determine for a given date, the snow cover status of a pixel based on snow cover maps from the beginning of the snowmelt season to that given date. The third step is to apply a decision‐tree‐like processing flow based on these rules to determine the snow cover status of a pixel for a given date and to create daily seasonal snow cover maps. The final step is to produce snow cover depletion curves using these maps. A case study using this method based on Terra MODIS snow cover map products (MOD10A1) was conducted in the lower and middle reaches of the Kaidu River Watershed (19 000 km2) in the Chinese Tien Shan, Xinjiang Uygur Autonomous Region, China. High resolution remote sensing data (charge coupled device (CCD) camera data with 19·5 m resolution of the China and Brazil Environmental and Resources Satellite (CBERS) data (19·5 m resolution), and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data with 15 m resolution of the Terra) were used to validate the results. The study shows that the seasonal snow cover classification was consistent with that determined using a high spatial resolution dataset, with an accuracy of 87–91%. The snow cover depletion curves clearly reflected the impact of the variation of temperature and the appearance of temporary snow cover on seasonal snow cover. The findings from this case study suggest that the approach is successful in generating accurate snow cover depletion curves automatically under conditions of frequent cloud cover and temporary snow cover using high temporal resolution optical remote sensing data. Copyright © 2007 John Wiley & Sons, Ltd. 相似文献
2.
基于实测高光谱数据的鄱阳湖湿地植被光谱差异波段提取 总被引：1，自引：0，他引：1
高光谱遥感技术的出现为有效解决湿地植被种类的精细识别和分类提供了可能.通过实地测取鄱阳湖湿地5种植被的高光谱数据,在对数据预处理的基础上,提出一种基于数据误差范围和植被光谱均值差的植被光谱差异波段提取方法.将该方法应用于包络线变换前后的光谱曲线提取植被的光谱差异波段,最后利用马氏距离法检验植被识别效果.结果表明:本文中的方法有效提取了植被光谱差异波段,其中变换前光谱差异波段分别为663~688 nm,变换后为581~636、660~695和1225~1236 nm.在光谱差异波段范围内,同种植被的马氏距离值小于异种植被的马氏距离值,可有效对植被进行识别.研究结果为湿地植被分类识别奠定了理论基础,同时为湖泊湿地植被以及湖泊生态环境的保护决策提供科学依据. 相似文献
3.
Swarm intelligence for classification of remote sensing data 总被引：2，自引：0，他引：2
This paper proposes a new method to classify remote sensing data by using Particle Swarm Optimization (PSO). This method is to generate classification rules through simulating the behaviors of bird flocking. Optimized intervals of each band are found by particles in multi-dimension space, linked with land use types for forming classification rules. Compared with other rule induction techniques (e.g. See5.0), PSO can efficiently find optimized cut points of each band, and have good convergence in the search process. This method has been applied to the classification of remote sensing data in Panyu district of Guangzhou with satisfactory results. It can produce higher accuracy in the classification than the See5.0 decision tree model. 相似文献
4.
Sun ZhongPing Shen WenMing Wei Bin Liu XiaoMan Su Wei Zhang Chao Yang JianYu 《中国科学:地球科学(英文版)》2010,53(1):34-44
The object-oriented information extraction technique was used to improve classification accuracy, and addressed the problem that HJ-1 CCD remote sensing images have only four spectral bands with moderate spatial resolution. We used two key techniques: the selection of optimum image segmentation scale and the development of an appropriate object-oriented information extraction strategy. With the principle of minimizing merge cost of merging neighboring pixels/objects, we used spatial autocorrelation index Moran’s I and the variance index to select the optimum segmentation scale. The Nearest Neighborhood (NN) classifier based on sampling and a knowledge-based fuzzy classifier were used in the object-oriented information extraction strategy. In this classification step, feature optimization was used to improve information extraction accuracy using reduced data dimension. These two techniques were applied to land cover information extraction for Shanghai city using a HJ-1 CCD image. Results indicate that the information extraction accuracy of the object-oriented method was much higher than that of the pixel-based method. 相似文献
5.
面向对象遥感分类方法在汶川地震震害提取中的应用 总被引：7，自引：0，他引：7
震后城市建筑物震害的自动识别与分类, 是遥感震害调查中的关键步骤, 其精度直接影响损失评估的结果. 而随着高分辨率遥感影像的发展, 传统基于像元的分类技术已不能满足需求, 引入面向对象的信息提取技术, 充分挖掘影像对象的纹理、形状和相互关系等信息, 能够有效的提高震害的分类精度. 该文阐述了面向对象的遥感震害提取思路和方法, 并应用汶川地震震后高分辨率航空遥感数据, 针对建筑物震害进行面向对象的快速提取与自动分类. 结果表明, 与基于像元分类比较, 面向对象的建筑物震害分类能够显著改善分类效果. 相似文献
6.
Wu ChuanQing Wang Qiao Zhang YongJun Li JunSheng Wu YuanFeng Zhu Li Yao YanJuan 《中国科学:地球科学(英文版)》2010,53(1):45-50
Remote sensing data collected by the Environment Satellite I are characterized by high temporal resolution, high spectral resolution and mid-high spatial resolution. We designed the Remote Sensing Application System for Water Environments (RSASWE) to create an integrated platform for remote sensing data processing, parameter information extraction and thematic mapping using both remote sensing and GIS technologies. This system provides support for regional water environmental monitoring, and prediction and warning of water pollution. Developed to process and apply data collected by Environment Satellite I, this system has automated procedures including clipping, observation geometry computation, radiometric calibration, 6S atmospheric correction and water quality parameter inversion. RSASWE consists of six subsystems: remote sensing image processing, basic parameter inversion, water environment remote sensing thematic outputs, application outputs, automated water environment outputs and a non-point source pollution monitoring subsystem. At present RSASWE plays an important role in operations at the Satellite Environment Center. 相似文献
7.
Caroline Petus Guillem Chust Francis Gohin David Doxaran Jean-Marie Froidefond Yolanda Sagarminaga 《Continental Shelf Research》2010
The Basque coastal waters (South Bay of Biscay) are directly influenced by the Adour River freshwater plume. The Adour outflow leads to important variations of suspended matter concentrations and turbidity, which in turn may affect biological productivity and water quality. This study aims at both developing specific algorithms and testing the efficiency of atmospherically corrected MODIS-Aqua 250-m surface reflectance product (MYD09) to map total suspended matter concentrations and turbidity within the Adour coastal region. First, regional empirical algorithms based on in-situ data were tested to retrieve the concentration of total suspended matter and turbidity from the remote sensing reflectance. Then, the respective sensitivity of MODIS surface reflectance bands 1 and 2 for water quality application was investigated as well as the quality of atmospheric corrections. Finally, selected algorithms were applied to the MYD09 product. The resulting 250-m resolution maps were then compared to 1000-m maps produced by IFREMER and comparisons between satellite measurements and in-situ sampling points were performed. Results show that MODIS-Aqua band 1 (620–670 nm) is appropriate for predicting turbidity and total suspended matter concentrations using polynomial regression models, whilst band 2 is unadapted. Comparison between total suspended matter concentration 250-m resolution maps and mineral suspended matter 1000-m maps (generated by IFREMER) produced consistent results. A high correlation was obtained between turbidity measured in-situ and turbidity retrieved from MODIS-Aqua satellite data. 相似文献
8.
本文系统分析了高分辨率遥感在活动断裂调查中应用的技术现状、工作流程,梳理了各类遥感数据的要求、适用条件和处理方法,总结了活动断裂的遥感解译方法、解译要素和测量参数,并通过实例解析了一些典型的断错地貌,给出了相应的遥感特征. 基于资源三号卫星的立体像对和影像,判读了大青山活动断裂的几何特征和活动特性. 结果表明: 人工改造较大的地区宜收集早期遥感影像,利用不同波段间地物光谱的差异来增强隐伏活动断裂的信息,使用空间增强方法来识别断层陡坎等线性构造;雷达数据多极化分解是检测隐伏构造信息的有效方法;由宏观信息向局部信息追踪是活动断裂解译的有效途径;将遥感影像与数字高程模型(DEM)联合可进行活动断层参数的高精度测量. 本文结果可为活动断裂大比例尺、定量调查提供参考. 相似文献
9.
The spectral characteristics of mangroves on the Beihai Coast of Guangxi, P. R. China are acquired on the basis of spectral data from field measurements. Following this, the 3‐layer reverse‐conversing neural networks (NN) classification technology is used to analyze the Landsat TM5 image obtained on January 8, 2003. It is detailed enough to facilitate the introduction of the algorithm principle and trains project of the neural network. Neural network algorithms have characteristics including large‐scale data handling and distributing information storage. This research firstly analyzes the necessity and complexity of this translation system, and then introduces the strong points of the neural network. Processing mangrove landscape characteristics by using neural network is an important innovation, with great theoretical and practical significance. This kind of neural network can greatly improve the classification accuracy. The spatial resolution of Landsat TM5 is high enough to facilitate the research, and the false color composite from 3‐, 4‐, and 5‐bands has a clear boundary and provides a significant quantity of information and effective images. On the basis of a field survey, the exported layers are defined as mangrove, vegetation, bare land, wetlands and shrimp pool. TM satellite images are applied to false color composites by using 3‐, 4‐, and 5‐bands, and then a supervised classification model is used to classify the image. The processing method of hyper‐spectrum remote sensing allows the spectral characteristics of the mangrove to be determined, and integrates the result with the NN classification for the false color composite by using 3‐, 4‐, and 5‐bands. The network model consists of three layers, i. e., the input layer, the hidden layer, and the output layer. The input layer number of classification is defined as 3, and the hidden layers are defined as 5 according to the function operation. The control threshold is 0.9. The training ratio is 0.2. The maximum permit error is 0.08. The classification precision reaches 86.86%. This is higher than the precision of maximal parallel classification (50.79%) and the spectrum angle classification (75.39%). The results include the uniformity ratio (1.7789), the assembly ratio (0.6854), the dominance ratio (–1.5850), and the fragmentation ratio (0.0325). 相似文献
10.
西藏中部申扎—定结地堑系北段中新世以来构造地貌学研究 总被引：1，自引：0，他引：1
利用ETM遥感影像与30 m分辨率的ASTER DEM数据, 构建申扎—定结地堑系北段遥感影像三维数字高程模型, 结合野外地质地貌调查结果, 对地堑系地貌特征进行总体分析。并根据对主要断裂的产状和活动性野外调查与活动断裂展布的遥感解译结果, 认为地堑系由一条东倾的铲式主要断裂和一系列同倾向和反倾向的次级断裂组成的半地堑构造。基于半地堑系模式, 将地堑系简化成书斜式模型, 根据地堑的沉降量和地堑宽度值, 计算地堑系的滑脱面深度在3.6～9.7 km之间, 因此地堑中地震震源深度也多集中于滑脱面附近。最后探讨地堑的形成机制, 表明在印度板块的挤压作用下, 高原上地壳与下地壳发生应力解耦, 上地壳在重力作用下, 向南向东发生滑脱, 形成东倾的半地堑构造。 相似文献
11.
利用三维可视化卫星遥感影像分析龙蟠-乔后断裂带的几何结构 总被引：1，自引：0，他引：1
本文对龙蟠-乔后断裂,采用1/5万数字高程模型和2.5m分辨率的ALOS遥感影像,在ENVI 4.5平台上将二者融合,获取三维可视化卫星遥感影像。从不同的角度、尺度,对三维影像进行构造地貌解译,获得断裂的展布和活动性质。之后选择部分场点考察验证,发现地质地貌体的断错特征与影像上分析的一致,说明三维影像的构造地貌解译在获得断裂几何展布研究中完全适用。本文应用该方法对龙蟠-乔后断裂的研究表明:龙蟠-乔后断裂由北向南依次经过老母增、龙蟠东、鸿文、雄古、北高寨、龙门邑、桃园、东富乐、岩峰场等;依据断裂几何不连续、走向变化、活动性质变化等,由北向南分为龙蟠段、鸿文段、九河段、剑川盆地段、东富乐段。龙蟠段与鸿文段为左旋左阶斜列;鸿文段与九河段为左旋左阶斜列,九河段走向相较鸿文段和南侧的剑川段逆时针旋转约5°,九河盆地的发育与走向变化相关;九河段与剑川盆地段为左旋右阶斜列,剑川盆地的发育不仅与龙蟠-乔后断裂相关,更可能与丽江-小金河断裂的活动也相关;剑川盆地段与东富乐段为左旋右阶斜列,斜列区为拉分性质的沙溪盆地。综上可知,龙蟠-乔后槽谷的形成与断裂最新几何结构和运动性质仅在部分段落上一致,从这个角度看槽谷的形成不排除古河道等其它因素的影响。 相似文献
12.
AnPing Liao LiJun Chen Jun Chen ChaoYing He Xin Cao Jin Chen Shu Peng FangDi Sun Peng Gong 《中国科学:地球科学(英文版)》2014,57(10):2305-2316
Land water, one of the important components of land cover, is the indispensable and important basic information for climate change studies, ecological environment assessment, macro-control analysis, etc. This article describes the overall study on land water in the program of global land cover remote sensing mapping. Through collection and processing of Landsat TM/ETM+, China’s HJ-1 satellite image, etc., the program achieves an effective overlay of global multi-spectral image of 30 m resolution for two base years, namely, 2000 and 2010, with the image rectification accuracy meeting the requirements of 1:200000 mapping and the error in registration of images for the two periods being controlled within 1 pixel. The indexes were designed and selected reasonably based on spectral features and geometric shapes of water on the scale of 30 m resolution, the water information was extracted in an elaborate way by combining a simple and easy operation through pixel-based classification method with a comprehensive utilization of various rules and knowledge through the object-oriented classification method, and finally the classification results were further optimized and improved by the human-computer interaction, thus realizing high-resolution remote sensing mapping of global water. The completed global land water data results, including Global Land 30-water 2000 and Global Land 30-water 2010, are the classification results featuring the highest resolution on a global scale, and the overall accuracy of self-assessment is 96%. These data are the important basic data for developing relevant studies, such as analyzing spatial distribution pattern of global land water, revealing regional difference, studying space-time fluctuation law, and diagnosing health of ecological environment. 相似文献
13.
Melanie J. Hellman Michael S. Ramsey 《Journal of Volcanology and Geothermal Research》2004,135(1-2):195
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Airborne Visible/IR Image Spectrometer (AVIRIS) data were used to characterize hot spring deposits in the Lower, Midway, and Upper Geyser Basins of Yellowstone National Park from the visible/near infrared (VNIR) to thermal infrared (TIR) wavelengths. Field observations of these basins provided the critical ground-truth for comparison with the remote sensing results. Fourteen study sites were selected based on diversity in size, deposit type, and thermal activity. Field work included detailed site surveys such as land cover analysis, photography, Global Positioning System (GPS) data collection, radiometric analysis, and VNIR spectroscopy. Samples of hot spring deposits, geyser deposits, and soil were also collected. Analysis of ASTER data provided broad scale characteristics of the hot springs and their deposits, including the identification of thermal anomalies. AVIRIS high spectral resolution short-wave infrared (SWIR) spectroscopy provided the ability to detect hydrothermally altered minerals as well as a calibration for the multispectral SWIR ASTER data. From the image analysis, differences in these basins were identified including the extent of thermal alteration, the location and abundance of alteration minerals, and a comparison of active, near-extinct, and extinct geysers. We determined the activity level of each region using a combination of the VNIR-SWIR-TIR spectral differences as well as the presence of elevated temperatures, detected by the TIR subsystem of ASTER. The results of this study are applicable to the exploration of extinct mineralized hydrothermal deposits on both Earth and Mars. 相似文献
14.
Bo Zhong Peng Ma AiHua Nie AiXia Yang YanJuan Yao WenBo Lü Hang Zhang QinHuo Liu 《中国科学:地球科学(英文版)》2014,57(8):1790-1799
It is very difficult to have remote sensing data with both high spatial resolution and high temporal frequency; thus, two categories of land-use mapping methodology have been developed separately for coarser resolution and finer resolution data. The first category uses time series of data to retrieve the variation of land surface for classification, which are usually used for coarser resolution data with high temporal frequency. The second category uses fine spatial resolution data to classify different land surface. With the launch of Chinese satellite constellation HJ-1in 2008, four 30 m spatial resolution CCDs with about 360 km coverage for each one onboard two satellites made a revisit period of two days, which brought a new type of data with both high spatial resolution and high temporal frequency. Therefore, by taking the spatiotemporal advantage of HJ-1/CCD data we propose a new method for finer resolution land cover mapping using the time series HJ-1/CCD data, which can greatly improve the land cover mapping accuracy. In our two study areas, the very high resolution remote sensing data within Google Earth are used to validate the land cover mapping results, which shows a very high mapping accuracy of 95.76% and 83.78% and a high Kappa coefficient of 0.9423 and 0.8165 in the Dahuofang area of Liaoning Province and the Heiquan area of Gansu Province respectively. 相似文献
15.
《地震研究进展（英文）》2021,1(4):100069
In order to improve the accuracy of building structure identification using remote sensing images, a building structure classification method based on multi-feature fusion of UAV remote sensing image is proposed in this paper. Three identification approaches of remote sensing images are integrated in this method: object-oriented, texture feature, and digital elevation based on DSM and DEM. So RGB threshold classification method is used to classify the identification results. The accuracy of building structure classification based on each feature and the multi-feature fusion are compared and analyzed. The results show that the building structure classification method is feasible and can accurately identify the structures in large-area remote sensing images. 相似文献
16.
为了提高建筑物震害信息提取的效率与准确度,针对震后高分辨率遥感影像,根据震害建筑物在遥感影像上的特征,以2010年海地MS7.0地震为例,通过尺度参数估计算法自动选择最优分割尺度对影像进行多尺度分割,并采用面向对象方法对海地高分辨率遥感影像进行建筑物震害信息提取,同时与基于像元的支持向量机、反向传播神经网络、基于分类回归算法的决策树分类方法进行比较。试验结果表明,面向对象的分类方法具有更好的目视效果和更高的分类精度,有利于地震后震害信息的准确提取和快速评估。 相似文献
17.
18.
Carsten Montzka Morton Canty Ralf Kunkel Gunter Menz Harry Vereecken Frank Wendland 《Journal of Hydrology》2008,353(3-4):322-334
Hydrological modelling of mesoscale catchments is often adversely affected by a lack of adequate information about specific site conditions. In particular, digital land cover data are available from data sets which were acquired on a European or a national scale. These data sets do not only exhibit a restricted spatial resolution but also a differentiation of crops and impervious areas which is not appropriate to the needs of mesoscale hydrological models. In this paper, the impact of remote sensing data on the reliability of a water balance model is investigated and compared to model results determined on the basis of CORINE (Coordination of Information on the Environment) Land Cover as a reference. The aim is to quantify the improved model performance achieved by an enhanced land cover representation and corresponding model modifications. Making use of medium resolution satellite imagery from SPOT, LANDSAT ETM+ and ASTER, detailed information on land cover, especially agricultural crops and impervious surfaces, was extracted over a 5-year period (2000–2004). Crop-specific evapotranspiration coefficients were derived by using remote sensing data to replace grass reference evapotranspiration necessitated by the use of CORINE land cover for rural areas. For regions classified as settlement or industrial areas, degrees of imperviousness were derived. The data were incorporated into the hydrological model GROWA (large-scale water balance model), which uses an empirical approach combining distributed meteorological data with distributed site parameters to calculate the annual runoff components. Using satellite imagery in combination with runoff data from gauging stations for the years 2000–2004, the actual evapotranspiration calculation in GROWA was methodologically extended by including empirical crop coefficients for actual evapotranspiration calculations. While GROWA originally treated agricultural areas as homogeneous, now a consideration and differentiation of the main crops is possible. The accuracy was determined by runoff measurements from gauging stations. Differences in water balances resulting from the use of remote sensing data as opposed to CORINE were analysed in this study using a representative subcatchment. Resulting Nash–Sutcliff model efficiencies improved from 0.372 to 0.775 and indicate that the enhanced model can produce thematically more accurate and spatially more detailed local water balances. However, the proposed model enhancements by satellite imagery have not exhausted the full potential of water balance modelling, for which a higher temporal resolution is required. 相似文献
19.
主成分监督分类及其在水质特征遥感图像识别中的应用 总被引：8，自引：0，他引：8
建立了一种水域水质状况图像识别的主成分监督分类方法。首先通过TM水域图像数据的主成分分析，将原有各波段图像的显著且独立的信息集中在数目尽可能少的合成图像中；再依据不同类型水体的光谱特性，分析各主成分图像的构成及其环境生态学含义，由此对整个研究区域内存在的不同标志类型及其分布特征有所了解；在此基础上，选定训练样本集，从而根据具有清楚的环境生态意义的标志类型，应用监督法得到较好的识别分类结果。分析表明，这一方法采用主成分分析确定标志类型，无需大量的现场调查，因而具有非监督聚类成本低的优点，分类结果则优于非监督法，且各类型的生态意义明显，分布特征与环境因子相互吻合，是水域水质环境图像识别的有效而实用的方法。 相似文献
20.
主成分监督分类及其在水质特征遥感图像识别中的应用 总被引：5，自引：1，他引：4
建立了一种水域水质状况图像识别的主成分监督分类方法,首先通过ＴＭ水域图像数据的主成分分析,将原有各波段图谱的显著且独立的信息集中在数目尽可能少的合成图象中,再依据不同类型水体的光谱特征,分析各主成分图像的构成及其环境生态学含义,由此对整个研究区域内存在的不同标志类型及其分布特征有所了解,在此基础上,选定训练样本集,从而人有清楚的环境生态意义的标志类型,应用监督法得到较好的识别分类结果,分析表明,这 相似文献