2012 Second International Workshop on Earth Observation and Remote Sensing Applications最新文献

{"title":"Performance analysis and simulation of Iridium navigation satellite based on STK","authors":"S. Fan, Lijun Zhao, W. Xiao, Zhenghang Li","doi":"10.1109/EORSA.2012.6261185","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261185","url":null,"abstract":"The navigation performance of Iridium satellite is simulated and analyzed based on STK from two aspects—the number of visible satellites and geometric dilution of precision (GDOP). Meanwhile we compare it with GPS and GALILEO system to demonstrate its performance. Experiment shows that the Iridium satellite system has a good coverage merit at two poles, which is even better than that of GPS and GALILEO. However, its global coverage is unstable and GDOP changes sharply from high latitude area to low latitude area which means Iridium satellite cannot orientate or navigate around the equator well. Then we explore the application fields of the Iridium satellite system.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123241971","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}

{"title":"Object-oriented land cover classification using multi-temporal HJ-1 CCD imagery: A case study in central Shandong province, China","authors":"Hongkui Zhou, Shuhe Zhao, Yun-xiao Luo, Lei Tan, A. Wang, Kexun He","doi":"10.1109/EORSA.2012.6261163","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261163","url":null,"abstract":"This paper focuses on object-oriented land cover classification using multi-temporal remotely sensed imagery. We proposed an approach by building rules using multi-temporal HJ-1 CCD imagery and other auxiliary data to classify various land cover types in central Shandong province. We analyzed the seasonal dynamics of vegetation indices (EVI (Enhanced Vegetation index) and NDVI). Vegetation index time series of multi-temporal images can help differentiate forest types. Given the difficulties of vegetation classification, especially in mountainous area, more information available such as DEM, slope, spatial features and priori knowledge were also utilized. The overall accuracy and Kappa coefficient of land cover classification are 80.1% and 0.76, respectively. The results show that besides the spectral information, texture, DEM, slope and auxiliary data are very useful for land cover classification. Multi-temporal information can improve the vegetation classification result significantly and meanwhile has much potential to be explored.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126804461","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}

{"title":"Decrease of net primary productivity in China's terrestrial ecosystems caused by severe droughts in 2009","authors":"Yibo Liu, W. Ju, M. He, G. Zhu, Yanlian Zhou","doi":"10.1109/EORSA.2012.6261135","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261135","url":null,"abstract":"In 2009, terrestrial ecosystems in China were hit by a series of droughts in different seasons. However, the degree at which net primary productivity (NPP) of terrestrial ecosystems was affected in China is not clear yet. In this study, the remote sensing driven process-based Boreal Ecosystem Productivity Simulator (BEPS) model was used to estimate NPP decrease in China's terrestrial ecosystems caused by the abnormal droughts in 2009. The results show that the BEPS model is able to estimate gross primary productivity (GPP) and NPP of China's terrestrial ecosystems reliably. Estimated GPP and NPP show similar spatial patterns, decreasing from east to west and from south to north. In 2009, annual NPP was lower than the averages over the period from 2000 to 2010 in most regions of China, especially in areas of southern China. The decrease of annual NPP in 2009 over southeast Tibet and southeast coastal areas was even more than 100 g C m−2 yr−1. The annual total NPP of Hunan and Yunnan provinces, Guangxi and Tibet autonomous regions in 2009 decreased by 4% to 6% of multi-year means, owing to the impact of consecutive drought from summer to winter in these areas. The national total of NPP in this year decreased about 35.5 Tg C yr−1, approximately equivalent to 1% of annual total NPP in China's terrestrial ecosystems averaged during the period from 2000 to 2010.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124981774","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}

{"title":"Segmentation of very high resolution imagery based on multichannel watershed transformation and region merging","authors":"C. Cai, Peijun Li, J. Guo","doi":"10.1109/EORSA.2012.6261186","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261186","url":null,"abstract":"This paper proposed a hierarchical region merging method that based on the spectral similarity, to optimize the initial segmentation results from watershed transformation, addressing the problem that the existing watershed transformation algorithms are very sensitive to noise and prone to produce over-segmentation. The proposed method was evaluated by comparing with the most widely used watershed segmentation method through visual inspection, quantitative measures and applications in urban land cover classification, using a Quickbird image data of Beijing area and achieved a comparable performance.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127696697","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}

{"title":"Spatial and seasonal variability of Chlorophyll-a and associated oceanographic events in Sabah water","authors":"Alaa A. Abbas, S. Mansor, B. Pradhan, C. Tan","doi":"10.1109/EORSA.2012.6261168","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261168","url":null,"abstract":"This study investigated the spatial and temporal distributions of Chlorophyll-a (Chl-a) in Sabah coastal water using satellite data, and identified the associated oceanographic events which caused large scale water enrichment in the surface layer. Results showed that surface Chl-a experienced seasonality in Sabah waters. At the northwest coast, very obvious increase in the Chl-a was observed from January to March, attributed to wind-driven coastal upwelling during the northeast monsoon (NEM). The southeast coast depicted high Chl-a at Labuan offshore water, related to the reversing direction of Baram River plume towards Sabah during NEM. Labuan bay water had higher Chl-a during the southwest monsoon (SWM) due to the effect of discharged materials from the Padas River during the rainy season at Labuan. On the other side, a slight increase in surface Chl-a was illustrated along the entire northeast coast during NEM, with higher concentrations at the southern part compared to the northern region. The high Chl-a at the southern part (southern Sandakan) was owing to alongshore water transport from the northern region driven by NEM winds and effect of discharged materials from the Kinabatangan River during the rainy season at Sandakan. Water characteristic at the southeast coast was highly influenced by surface water transport from the Sulu and Sulawesi seas and prevailed surface currents. Both inshore and offshore waters off Semporna had peak Chl-a in December, related to Sulu Sea water transport towards Semporna and occurrence of cyclonic eddy at the offshore water during early NEM. Tawau water showed very high Chl-a throughout the year due to the effect of coastal discharge. The discharged material near Tawau was transported to a wider area offshore during SWM. That in turn caused another peak Chl-a at Semporna inshore water in August during SWM.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133486628","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}

{"title":"Spatial measurement of regular building based on single image","authors":"Mingming Sui, Meizhen Wang, Yan Zhen","doi":"10.1109/EORSA.2012.6261159","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261159","url":null,"abstract":"With the development of geomatics technology, the acquisition of spatial data becomes more and more diverse. Close range photogrammetry is a very important and traditional way to measure the world without direct contact. In this paper the authors discussed data acquisition by close range photogrammetry, but it broken through the limitation of traditional stereo image pair and professional camera in photogrammetry by focusing on the ordinary single image as the object to study. In this paper, the authors analyzed how to use the implicit information of the image (such as parallel lines, perpendicular lines) to implement distance measurement. Due to the distortion, the parallel lines might not be in parallel anymore in the image, and they would intersect at a point (named vanishing point). The paper exposed the principle of single image measurement using vanishing point and other known condition. Through this method, the spatial measurement based on ordinary single digital image could be implemented.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131666258","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}

{"title":"Discriminating stocking rates in a typical grassland using in situ spectral reflectance data","authors":"Z. Sha, Daniel G. Brown, Yichun Xie, W. Welsh","doi":"10.1109/EORSA.2012.6261148","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261148","url":null,"abstract":"We investigated whether vegetation characteristics under different grazing intensities (measured by stocking rates, or SRs) could be discriminated using ASD field spectrometer data ranging from 350nm to 2,500 nm (a total of 2,151 wavelengths). Canopy spectral measurements and above-ground biomass under four different stocking rates (SR-0 sheep/ha, SR-3, SR-6 and SR-9) were sampled in situ from experimental plots in the Xilingol Sino-German experiment station, Inner Mongolia, China. Three types of measurements, i.e., canopy reflectance, the 1st derivative of reflectance, and two categories of normalized difference vegetation indexes (NDVIs, including broad wavelength NDVI and narrow wavelength NDVI) derived from canopy reflectance, were tested for their ability to discriminate different stocking rates. Results show that vegetation canopy reflectance in different wavelength regions has variations in terms of its sensitivity to stocking rates and that different wavelength regions should be combined together to obtain better separation of stocking rates. Exploratory analysis indicates that both broad wavelength NDVI and narrow wavelength NDVI show strong negative correlation with stocking rates and strong positive correlation with above-ground biomass, indicating the possibility of applying NDVI to map grazing intensity at larger scales using satellite remote sensing imagery.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131764825","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}

{"title":"Effect of Modulation Transfer Function on high spatial resolution remote sensing imagery segmentation quality","authors":"Jiehai Cheng, Yanchen Bo, X. Ji","doi":"10.1109/EORSA.2012.6261154","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261154","url":null,"abstract":"The Modulation Transfer Function (MTF) is a widely used parameter to assess the quality of an imaging system. For the end user, the system MTF can be used to compare the intrinsic quality of imagery from various sources as well as analytically equalize the sharpness of multiple images from different sensors. However, due to the vibration during the satellite launch or some change in material properties, the MTF characteristic may change. As a result, imagery quality may change. However, Current researches mostly lie in how to measure MTF, and don't detailedly analyze the influence of MTF on imagery quality. Therefore, a lot of potential research work is desirable to discuss the relation between MTF and imagery quality. With regard to high spatial resolution remote sensing imagery, MTF mainly affects edge sharpness of imagery. And edge sharpness of imagery can affect imagery segmentation quality. So, the goal of this study is to analyze the effect of MTF on high spatial resolution remote sensing imagery segmentation quality. The paper firstly introduced the algorithm and steps of measuring MTF value based on high spatial resolution remote sensing imagery. Next, a typical imagery, which was derived from an acquisition over Florida, was selected for calculating MTF. In order to simulate different MTF values, the Gaussian PSF (Point Spread Function) was artificially added into the selected imagery. As a result, we can acquire a series of images, which had different MTF values. Then, the images were segmented by the object-based image analyst tool, such as eCongniton Developer 8.64, Feature Analyst, ENVI FX, et al. Finally, we compared the different segmentation quality by the methods of the segmentation accuracy assessment. The Area-Fit-Index (AFI) and Offspring-Loyalty (OL) were used to assess the segmentation accuracy of the images. The paper randomly selected 410 segmented polygons for assessing segmentation accuracy. The results of AFI and OL showed that the segmentation accuracy was lower while MTF value was lower. While MTF dropped still further, the AFI became negative number, −0.04. This showed that the edge profiles of the segmented objects mostly exceeded the edge profiles of the reference objects. The research also demonstrated that different land types had different segmentation quality on the condition of the same MTF value.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124311550","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}

{"title":"Mapping and interpreting of subsidence in West Tianjin with high spatiotemporal x-band persistent scatterer SAR interferometry","authors":"Ting Yu, Guoxiang Liu, Rui Zhang, Hongguo Jia, Tao Li, Y. Nie","doi":"10.1109/EORSA.2012.6261153","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261153","url":null,"abstract":"Ground subsidence in West Tianjin area is explored by means of the persistent scatterer (PS) networking interferometric synthetic aperture radar (PSNInSAR) technique. The pivotal algorithm of the PSNInSAR is briefly represented and the computation is based on 15 high spatiotemporal resolution (HSTR) TerraSAR-X (TX) SAR images acquired between Mar., 2009 and Jan., 2010. The PS subsidence velocity map shows the maximum subsidence velocity as high as 56 to 68 mm/yr, implying that the study area is an active zone for ground deformation. The hydrogeological conditions in the area are examined to explore the mechanism of the uneven subsidence caused by excessive exploitation of groundwater. The derived subsidence measurements are validated with the in situ data taken by the optical leveling at 9 benchmarks, which implies the HSTR PSNInSAR with short radar wavelength (3.1 cm for TX) can reach an accuracy of millimeter (±4.09 mm/yr in our work). The results demonstrate that the HSTR PSNInSAR is of great advantage to detect subsidence and can help to reveal the spatial evolution of the subsidence phenomenon. Advisably, based on the results above and the chief parameters of the radar sensor, the predominance and limitations of the high spatiotemporal TX SAR interferometry in subsidence detecting are discussed.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"29 37","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114059382","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}

{"title":"A study on residential population estimation based on HJ-1 CCD image","authors":"Siqi Jia, Qi Li, Shuai Liu, Lei Xue","doi":"10.1109/EORSA.2012.6261184","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261184","url":null,"abstract":"This study firstly built a linear spectral unmixing model based on image data of HJ-1 satellites (Environment and Disaster monitoring and forecasting Satellite constellation) to derive impervious surface coverage data in Beijing. Then combined with street population census data in Beijing, we can build Beijing population density estimation model for population distribution estimation. The corresponding abundance information of the street impervious surface is derived by geographic information system (GIS) overlay of street data and impervious surface data, to build the population density estimation model based on the information of the impervious surface by the regression analysis. The result shows that the population density estimation model built based on the information of the impervious surface is a reliable method for estimating the population density in Beijing and the feasibility of this method is demonstrated.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129371178","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}