The quantitative relationship between the Normalised difference Vegetation Index (NDVI) data of Landsat and ASTER sensors has not yet been examined though they have been frequently used in medium-scale vegetation observations. To meet this need, this paper investigated the relationship of the NDVI measurements between Landsat-7 ETM+ and ASTER. The study examined how well ASTER sensor vegetation observations replicate ETM+ vegetation observations, and more importantly, the differences between the two sensors in the NDVI-based vegetation observations. Three date-coincident image pairs of the two sensors were used in this comparison study. The digital numbers of the image pairs were converted to at-satellite reflectance. The regression analysis of the scatterplots of ETM+ NDVI versus ASTER NDVI was carried out to reveal their quantitative relationship. The model for the conversion of NDVI data between the two sensors was also obtained by the regression. The results show that there are differences between the NDVI data of the two sensors despite a very strong positive linear relationship between them. The ASTER sensor generally produces lower NDVI measurements than ETM+.
{"title":"Comparison of Landsat-7 ETM+ and ASTER NDVI measurements","authors":"Hanqiu Xu, Tiejun Zhang","doi":"10.1117/12.910397","DOIUrl":"https://doi.org/10.1117/12.910397","url":null,"abstract":"The quantitative relationship between the Normalised difference Vegetation Index (NDVI) data of Landsat and ASTER sensors has not yet been examined though they have been frequently used in medium-scale vegetation observations. To meet this need, this paper investigated the relationship of the NDVI measurements between Landsat-7 ETM+ and ASTER. The study examined how well ASTER sensor vegetation observations replicate ETM+ vegetation observations, and more importantly, the differences between the two sensors in the NDVI-based vegetation observations. Three date-coincident image pairs of the two sensors were used in this comparison study. The digital numbers of the image pairs were converted to at-satellite reflectance. The regression analysis of the scatterplots of ETM+ NDVI versus ASTER NDVI was carried out to reveal their quantitative relationship. The model for the conversion of NDVI data between the two sensors was also obtained by the regression. The results show that there are differences between the NDVI data of the two sensors despite a very strong positive linear relationship between them. The ASTER sensor generally produces lower NDVI measurements than ETM+.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132482330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Long Wang, A. Dou, Xiaoqing Wang, Yanfang Dong, X. Ding, Zhi Li, Xiaoxiang Yuan, Yurong Qiu
This paper introduces the procedure of emergency remote sensing assessment for Haiti earthquake happened on Jan 12 2010. The procedure is divided into 4 steps: data preparation, data processing, information extraction and damage assessment, and contains three key targets which are damage information extraction, quantitative assessment and estimation of casualties and economic losses. In the first stage, the damage information of the buildings is the basis, and the other information, including building type, damage grade, built-over area, would be extracted by visual interpretation and automatically statistic with human-computer interaction from the high resolution disaster imageries. Then the remote sensing damage index and equivalent ground damage index of building could be counted in the second stage. According to this result, the specialists sketch a more exact intensity distribution in different regions of the metropolis. At last, the number of casualties is estimated by an empirical model adapting to worldwide earthquake as the detailed construction damage has been known. To assess the economic losses, we use a macro economic-based model which only needs population, per capita GDP and statistical macro-economic fragility related to seismic intensity. In this case, it is the first time to implement the methods of remote sensing assessment in foreign serious earthquake emergency, which is proven of being applicable outside China.
{"title":"Damage assessment of Haiti earthquake emergency using high resolution remote sensing imagery","authors":"Long Wang, A. Dou, Xiaoqing Wang, Yanfang Dong, X. Ding, Zhi Li, Xiaoxiang Yuan, Yurong Qiu","doi":"10.1117/12.910416","DOIUrl":"https://doi.org/10.1117/12.910416","url":null,"abstract":"This paper introduces the procedure of emergency remote sensing assessment for Haiti earthquake happened on Jan 12 2010. The procedure is divided into 4 steps: data preparation, data processing, information extraction and damage assessment, and contains three key targets which are damage information extraction, quantitative assessment and estimation of casualties and economic losses. In the first stage, the damage information of the buildings is the basis, and the other information, including building type, damage grade, built-over area, would be extracted by visual interpretation and automatically statistic with human-computer interaction from the high resolution disaster imageries. Then the remote sensing damage index and equivalent ground damage index of building could be counted in the second stage. According to this result, the specialists sketch a more exact intensity distribution in different regions of the metropolis. At last, the number of casualties is estimated by an empirical model adapting to worldwide earthquake as the detailed construction damage has been known. To assess the economic losses, we use a macro economic-based model which only needs population, per capita GDP and statistical macro-economic fragility related to seismic intensity. In this case, it is the first time to implement the methods of remote sensing assessment in foreign serious earthquake emergency, which is proven of being applicable outside China.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127248776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanyou Qiao, Yuanfei Chang, Ying Zhang, Weigou Li, Jun Jian
This paper introduces the design and development of the field investigation system anddiscusses its application. The system can gather multiple messages simultaneously and transfer to the servers in time. Moreover, it can customize the investigation form with the technology of dynamic form that makes it be easily applied in various industries. Compared with the common embedded geographic information system, this system has fully considered the actual operation flow, thus is suitable for application in the field investigation.
{"title":"Field investigation system and its application in forest pest survey","authors":"Yanyou Qiao, Yuanfei Chang, Ying Zhang, Weigou Li, Jun Jian","doi":"10.1117/12.910360","DOIUrl":"https://doi.org/10.1117/12.910360","url":null,"abstract":"This paper introduces the design and development of the field investigation system anddiscusses its application. The system can gather multiple messages simultaneously and transfer to the servers in time. Moreover, it can customize the investigation form with the technology of dynamic form that makes it be easily applied in various industries. Compared with the common embedded geographic information system, this system has fully considered the actual operation flow, thus is suitable for application in the field investigation.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121304249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Combined with traditional image information and spectral information, hyperspectral remote sensing could not only get the space information about the surface of the earth, but also obtain continuous spectrum of single pixel. Spectral matching technique is one of the key technologies of imaging spectroscopy remote sensing classification and target detection. Spectral characteristics can be used to identify surface features category in hyperspectral remote sensing. The traditional method of spectral matching includes the minimum Euclidean distance matching, spectral angle matching and spectral similarity matching. SAM (spectral angle matching) is better than others, but the discrimination is not high, and usually could not get a satisfactory result. This paper gives a proposal that introducing and using the hidden Markov model to describe the pixel spectral characteristics, and then compare this method with several commonly used methods by using the standard USGS spectral library data in the experiment.
{"title":"Spectral matching based on hidden Markov model","authors":"Jing Fu, Ning Shu, Xiangbing Kong","doi":"10.1117/12.910404","DOIUrl":"https://doi.org/10.1117/12.910404","url":null,"abstract":"Combined with traditional image information and spectral information, hyperspectral remote sensing could not only get the space information about the surface of the earth, but also obtain continuous spectrum of single pixel. Spectral matching technique is one of the key technologies of imaging spectroscopy remote sensing classification and target detection. Spectral characteristics can be used to identify surface features category in hyperspectral remote sensing. The traditional method of spectral matching includes the minimum Euclidean distance matching, spectral angle matching and spectral similarity matching. SAM (spectral angle matching) is better than others, but the discrimination is not high, and usually could not get a satisfactory result. This paper gives a proposal that introducing and using the hidden Markov model to describe the pixel spectral characteristics, and then compare this method with several commonly used methods by using the standard USGS spectral library data in the experiment.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122597604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, methods to locate the sunglints from geostationary meteorological satellite images are discussed, and then an algorithm for moving the sunglints from the satellite images is described. Based on the correlation between different channels of the sensor, data from the IR channel which is seldom affected by solar specular reflection is used to correct the grayscale value of the sunglint area in the visible band images. The algorithm for moving the sunglints is tested by using regression method upon the MODIS remote sensing images and proved to be effectual.
{"title":"Methods to locate and eliminate the solar specular reflection point in the meteorological satellite images","authors":"Wei Li, Bingbing Huang, Jie Bai, Xiaoting Wang","doi":"10.1117/12.910372","DOIUrl":"https://doi.org/10.1117/12.910372","url":null,"abstract":"In this paper, methods to locate the sunglints from geostationary meteorological satellite images are discussed, and then an algorithm for moving the sunglints from the satellite images is described. Based on the correlation between different channels of the sensor, data from the IR channel which is seldom affected by solar specular reflection is used to correct the grayscale value of the sunglint area in the visible band images. The algorithm for moving the sunglints is tested by using regression method upon the MODIS remote sensing images and proved to be effectual.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128509152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Based on the relationship between the net reflectivity value of Aster data and geochemical index of trace elements, a statistical model had been established in Jinchuan Nickel-copper Mining area, Gansu province, China. The remote sensing geochemical anomalies over the areas extending towards south and northwest had been enclosed by analysing the geochemical surface sampling, surveying spectrum at corresponding points in field, determing spectrum characteristic spectral range and the threshold value of different element anomalies or different lithological section, as well as making line No.55 of remote sensing ,geology exploration and geochemical section as a benchmark. The study shows that the zones of remote sensing-geochemistry anomaly calculated by the statistical models consistent with the known mining areas, and there are traditional geochemical anomaly within the remote sensing geochemical anomaly in the parts of the unknown area, which is also validated by remote sensing geochemical anomalies distributed in periphery. By analyzing both remote sensing geochemical anomaly and regional geological data, the predictions achieve better effects than that by using the information of remote sensing and geochemical anomalies only.
{"title":"The statistical prediction model for prospecting Nickel-Copper deposit based on aster remote sensing-geochemistry data in JinChuan and its peripheral","authors":"Sanming Chen, Hong Wu, Jianping Chen","doi":"10.1117/12.910434","DOIUrl":"https://doi.org/10.1117/12.910434","url":null,"abstract":"Based on the relationship between the net reflectivity value of Aster data and geochemical index of trace elements, a statistical model had been established in Jinchuan Nickel-copper Mining area, Gansu province, China. The remote sensing geochemical anomalies over the areas extending towards south and northwest had been enclosed by analysing the geochemical surface sampling, surveying spectrum at corresponding points in field, determing spectrum characteristic spectral range and the threshold value of different element anomalies or different lithological section, as well as making line No.55 of remote sensing ,geology exploration and geochemical section as a benchmark. The study shows that the zones of remote sensing-geochemistry anomaly calculated by the statistical models consistent with the known mining areas, and there are traditional geochemical anomaly within the remote sensing geochemical anomaly in the parts of the unknown area, which is also validated by remote sensing geochemical anomalies distributed in periphery. By analyzing both remote sensing geochemical anomaly and regional geological data, the predictions achieve better effects than that by using the information of remote sensing and geochemical anomalies only.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128796241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Due to the indistinction of land boundary and the confusion of categories in wetland as well as the big spectral difference of high-resolution remote sensing images, how to segment land boundaries exactly and maintain homogeneity in one category as much as possible are the difficult points of wetland information extraction of remote sensing images. In this paper, Xixi Wetland in Hangzhou is taken as research object and QuickBird high-resolution image as research data. Two approaches for wetland information accurate extraction based on Markov random field (MRF) theory are explored. The experimental results showed that this method has a good effect on exact segmentation of land boundaries and Inhibition of classification noises, and has higher accuracy and speed compared with other MRF methods.
{"title":"Wetland information extraction of remote sensing imagery based on Markov random field theory","authors":"Dengrong Zhang, Yang Wu","doi":"10.1117/12.910425","DOIUrl":"https://doi.org/10.1117/12.910425","url":null,"abstract":"Due to the indistinction of land boundary and the confusion of categories in wetland as well as the big spectral difference of high-resolution remote sensing images, how to segment land boundaries exactly and maintain homogeneity in one category as much as possible are the difficult points of wetland information extraction of remote sensing images. In this paper, Xixi Wetland in Hangzhou is taken as research object and QuickBird high-resolution image as research data. Two approaches for wetland information accurate extraction based on Markov random field (MRF) theory are explored. The experimental results showed that this method has a good effect on exact segmentation of land boundaries and Inhibition of classification noises, and has higher accuracy and speed compared with other MRF methods.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121593245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuhuan Ren, Yalan Liu, Leiqiu Hu, Junchuan Fan, Xiaowen Li
Although influenza is a common disease with characteristics of seasonality, the determinants of each season's onset, magnitude, and duration are poorly understood. This paper focuses on the role of environmental factors in spread and epidemic of seasonal influenza and explores the environmental explanatory factors for different types of influenza in mainland China. It also introduces satellite remote sensing as an important data obtaining approach, and highlights the potential of using satellite images for monitoring dynamics of climate and landscapes related to the spread of seasonal influenza. Applying Geographic Information System (GIS) technique combining with traditional statistical analysis, the paper uses influenza virus isolation rate (VIR) as the measure of influenza activity and analyzed its association with environmental factors. The results show that the spread and epidemic of influenza is influenced by various environmental factors, among which the temperature and humidity are seemed to be the determinants. However, the impacts of the environmental factors to different types of virus are varied. Low temperature and humidity conditions arere associated with a higher activity of both influenza A and B. On the contrary, high temperature and humidity conditions are associated with a higher activity of influenza A, but are associated with only a moderate or low, less consistent increase in the activity of influenza B. Recognition of this association could lead to better understanding of the mechanisms of emergence of influence epidemics and provide scientific evidence for controlling influenza.
{"title":"Association of influenza virus isolation with environmental factors in mainland China based on remote sensing and GIS","authors":"Yuhuan Ren, Yalan Liu, Leiqiu Hu, Junchuan Fan, Xiaowen Li","doi":"10.1117/12.910431","DOIUrl":"https://doi.org/10.1117/12.910431","url":null,"abstract":"Although influenza is a common disease with characteristics of seasonality, the determinants of each season's onset, magnitude, and duration are poorly understood. This paper focuses on the role of environmental factors in spread and epidemic of seasonal influenza and explores the environmental explanatory factors for different types of influenza in mainland China. It also introduces satellite remote sensing as an important data obtaining approach, and highlights the potential of using satellite images for monitoring dynamics of climate and landscapes related to the spread of seasonal influenza. Applying Geographic Information System (GIS) technique combining with traditional statistical analysis, the paper uses influenza virus isolation rate (VIR) as the measure of influenza activity and analyzed its association with environmental factors. The results show that the spread and epidemic of influenza is influenced by various environmental factors, among which the temperature and humidity are seemed to be the determinants. However, the impacts of the environmental factors to different types of virus are varied. Low temperature and humidity conditions arere associated with a higher activity of both influenza A and B. On the contrary, high temperature and humidity conditions are associated with a higher activity of influenza A, but are associated with only a moderate or low, less consistent increase in the activity of influenza B. Recognition of this association could lead to better understanding of the mechanisms of emergence of influence epidemics and provide scientific evidence for controlling influenza.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116911595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Orbital image mapping is a key technology to achieve scientific and engineering goals in deep space exploration missions. It provides topographic and morphological information for various scientific researches and also supports follow-up landing missions. This paper presents rigorous photogrammetric models for Chang'E-1 and MRO HiRISE images based on the pushbroom imaging principle. A multi-level stereo image matching method is developed in order to generate high precision DEMs of lunar and Mars surfaces.
{"title":"Lunar and Mars orbital stereo image mapping","authors":"M. Peng, Z. Yue, Yiliang Liu, K. Di","doi":"10.1117/12.910362","DOIUrl":"https://doi.org/10.1117/12.910362","url":null,"abstract":"Orbital image mapping is a key technology to achieve scientific and engineering goals in deep space exploration missions. It provides topographic and morphological information for various scientific researches and also supports follow-up landing missions. This paper presents rigorous photogrammetric models for Chang'E-1 and MRO HiRISE images based on the pushbroom imaging principle. A multi-level stereo image matching method is developed in order to generate high precision DEMs of lunar and Mars surfaces.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"510-511 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125569591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Wang, Fenfei Wang, Jiansheng Chen, Shirong Chen
The extraction of typical targets (such as water, road and damaged buildings) of nature disaster is important to the emergency management, post-disaster damage assessment and disaster monitoring. This paper shows an objected oriented method to extract water, road and building targets in the earthquake of Wenchuan(2008), Yushu(2010) and Haiti(2010). We built the optimal feature sets with spectral features, shape features, texture features and context features. Experiment result shows that this method can extract flood area, road and damaged buildings effectively and achieve a relatively high accuracy. These experimental studies are leading to the opportunity to integrate classical damage survey and image oriented semi-automatic interpretation.
{"title":"Typical disaster damage target extraction method based on object oriented classification","authors":"G. Wang, Fenfei Wang, Jiansheng Chen, Shirong Chen","doi":"10.1117/12.910423","DOIUrl":"https://doi.org/10.1117/12.910423","url":null,"abstract":"The extraction of typical targets (such as water, road and damaged buildings) of nature disaster is important to the emergency management, post-disaster damage assessment and disaster monitoring. This paper shows an objected oriented method to extract water, road and building targets in the earthquake of Wenchuan(2008), Yushu(2010) and Haiti(2010). We built the optimal feature sets with spectral features, shape features, texture features and context features. Experiment result shows that this method can extract flood area, road and damaged buildings effectively and achieve a relatively high accuracy. These experimental studies are leading to the opportunity to integrate classical damage survey and image oriented semi-automatic interpretation.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127901197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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