Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5650420
Shiqiang Du, Deyong Yu, P. Shi, B. Xun
To evaluate the urban ecosystem condition quantitatively is still a big issue remaining to be solved. This contribution developed a quantitative method, called Ecoservice Radiance Model (ERM), to evaluate ecological condition in built area. As the evaluation index, ecoservice which was provided by eco-land was considered distance attenuated and can be radiated to the around built area according to distance. Through a case study in Bujiriver basin in Shenzhen, China, it could be concluded that the ecoservice can be allocated to built area efficiently and the allocation result can reflect the role of small eco-land in improving the ecological condition of built area.
{"title":"Evaluating the eclogical condition in Shenzhen city, China, using a quantitative model","authors":"Shiqiang Du, Deyong Yu, P. Shi, B. Xun","doi":"10.1109/IGARSS.2010.5650420","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650420","url":null,"abstract":"To evaluate the urban ecosystem condition quantitatively is still a big issue remaining to be solved. This contribution developed a quantitative method, called Ecoservice Radiance Model (ERM), to evaluate ecological condition in built area. As the evaluation index, ecoservice which was provided by eco-land was considered distance attenuated and can be radiated to the around built area according to distance. Through a case study in Bujiriver basin in Shenzhen, China, it could be concluded that the ecoservice can be allocated to built area efficiently and the allocation result can reflect the role of small eco-land in improving the ecological condition of built area.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125961685","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5650690
P. Racette
Characterization of non stationary and nonlinear processes is a challenge in many engineering and scientific disciplines. Climate change modeling and projection, retrieving information from Doppler measurements of hydrometeors, and modeling calibration architectures and algorithms in microwave radiometers are example applications that can benefit from improvements in the modeling and analysis of non stationary processes. Analyses of measured signals have traditionally been limited to a single measurement series. Ensemble Detection is a technique whereby mixing calibrated noise produces an ensemble measurement set. The collection of ensemble data sets enables new methods for analyzing random signals and offers powerful new approaches to studying and analyzing non stationary processes. Derived information contained in the dynamic stochastic moments of a process will enable many novel applications.
{"title":"Application of Ensemble Detection and Analysis to modeling uncertainty in non stationary processes","authors":"P. Racette","doi":"10.1109/IGARSS.2010.5650690","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650690","url":null,"abstract":"Characterization of non stationary and nonlinear processes is a challenge in many engineering and scientific disciplines. Climate change modeling and projection, retrieving information from Doppler measurements of hydrometeors, and modeling calibration architectures and algorithms in microwave radiometers are example applications that can benefit from improvements in the modeling and analysis of non stationary processes. Analyses of measured signals have traditionally been limited to a single measurement series. Ensemble Detection is a technique whereby mixing calibrated noise produces an ensemble measurement set. The collection of ensemble data sets enables new methods for analyzing random signals and offers powerful new approaches to studying and analyzing non stationary processes. Derived information contained in the dynamic stochastic moments of a process will enable many novel applications.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121915291","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5652418
C. Notarnicola, B. Ventura, L. Pasolli, F. D. Giuseppe, M. Zebisch
This work aims at deriving a methodology for calculation of a soil moisture index based on the apparent thermal inertia (ATI) approach. For the processing, MODIS images have been exploited which have a higher resolution (1 km) if compared with METEOSAT images and are suitable for the ATI calculation. Furthermore, the approach considers the soil moisture estimates derived from SAR sensors and use them to calibrate the information coming from the optical data. The main advantage of this approach is to transform a soil moisture index derived from optical images in soil moisture values by using a comparison between spatial distributed data. In order to make the calibration more robust and consider the variability from different areas, three main test sites have been chosen located in Italian regions with different meteorological and landscape characteristics. In case of anomalous values due to the not appropriate acquisition time, AMSRE soil moisture data are used as prior information in order to improve the estimates.
{"title":"Towards an operational daily soil moisutre index derived from combination of MODIS, ASAR and AMSR-E data","authors":"C. Notarnicola, B. Ventura, L. Pasolli, F. D. Giuseppe, M. Zebisch","doi":"10.1109/IGARSS.2010.5652418","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652418","url":null,"abstract":"This work aims at deriving a methodology for calculation of a soil moisture index based on the apparent thermal inertia (ATI) approach. For the processing, MODIS images have been exploited which have a higher resolution (1 km) if compared with METEOSAT images and are suitable for the ATI calculation. Furthermore, the approach considers the soil moisture estimates derived from SAR sensors and use them to calibrate the information coming from the optical data. The main advantage of this approach is to transform a soil moisture index derived from optical images in soil moisture values by using a comparison between spatial distributed data. In order to make the calibration more robust and consider the variability from different areas, three main test sites have been chosen located in Italian regions with different meteorological and landscape characteristics. In case of anomalous values due to the not appropriate acquisition time, AMSRE soil moisture data are used as prior information in order to improve the estimates.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127902190","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5648819
Nicole Ostländer, Robin S. Smith, B. Longueville, P. Smits
Volunteered Geographie Information (VGI) is the harnessing of tools to create, assemble, and disseminate geographie data provided voluntarily by individuals [6], and is regarded by the authors as an important component of Community Remote Sensing. What is currently lacking is a systematic framework that classifies the myriad of VGI products and sources. In this paper we propose a methodology based on business process modeling that allows the description of VGI applications, which can be used to perform a comparative analysis of VGI sources.
{"title":"What Volunteered Geographic Information is (good for) - designing a methodology for comparative analysis of existing applications to classify VGI and its uses","authors":"Nicole Ostländer, Robin S. Smith, B. Longueville, P. Smits","doi":"10.1109/IGARSS.2010.5648819","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5648819","url":null,"abstract":"Volunteered Geographie Information (VGI) is the harnessing of tools to create, assemble, and disseminate geographie data provided voluntarily by individuals [6], and is regarded by the authors as an important component of Community Remote Sensing. What is currently lacking is a systematic framework that classifies the myriad of VGI products and sources. In this paper we propose a methodology based on business process modeling that allows the description of VGI applications, which can be used to perform a comparative analysis of VGI sources.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127923243","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5649563
L. Mitnik, M. Mitnik
The physical-based algorithm for the sea surface wind speed W retrieval from Aqua AMSR-E passive microwave measurements is considered. The brightness temperatures TBV(24) at 23.8 GHz and TBV(36) at 36.5 GHz with vertical (V) polarization and TBH(11) at 10.7 GHz with horizontal (H) polarization and results of computations of the brightness temperature of the calm ocean surface TBocH(11) are used at first to estimate contribution of the atmosphere to TBH(11), then increment of TBocH(11) caused by wind action and at last wind speed. The developed algorithm is applied to AMSR-E data obtained in the Northwest Pacific Ocean over extratropical cyclones with gale winds. The retrieved fields of wind speed are compared with scatterometer-derived fields and the surface analysis maps.
{"title":"AMSR-E advanced wind speed retrieval algorithm and its application to marine weather systems","authors":"L. Mitnik, M. Mitnik","doi":"10.1109/IGARSS.2010.5649563","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649563","url":null,"abstract":"The physical-based algorithm for the sea surface wind speed W retrieval from Aqua AMSR-E passive microwave measurements is considered. The brightness temperatures T<inf>B</inf><sup>V</sup>(24) at 23.8 GHz and T<inf>B</inf><sup>V</sup>(36) at 36.5 GHz with vertical (V) polarization and T<inf>B</inf><sup>H</sup>(11) at 10.7 GHz with horizontal (H) polarization and results of computations of the brightness temperature of the calm ocean surface T<inf>Boc</inf><sup>H</sup>(11) are used at first to estimate contribution of the atmosphere to T<inf>B</inf><sup>H</sup>(11), then increment of T<inf>Boc</inf><sup>H</sup>(11) caused by wind action and at last wind speed. The developed algorithm is applied to AMSR-E data obtained in the Northwest Pacific Ocean over extratropical cyclones with gale winds. The retrieved fields of wind speed are compared with scatterometer-derived fields and the surface analysis maps.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121759805","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5650733
H. Horie, Y. Ohno, N. Takahashi
The Cloud Profiling Radar (CPR) is one of key sensors on EarthCARE for joint project between Europe and Japan. The CPR is developed by National Institute of Information and Communications Technology (NICT) in Japan and Japanese Aerospace Exploration Agency (JAXA). The CPR uses W-band frequency and large antenna diameter in order to obtain enough sensitivity. In other words, beam footprint becomes small but antenna scanning cannot be performed. Two external calibration methods are considered. The first method is external calibration using active radar calibrator (ARC). It is foreseen the difficulty to place exact location on sub-satellite track. The second method is external calibration using naturally distributed target, such as sea surface. We describe about test experiment for first method and statistical analysis using satellite data for second method as the feasibility study.
{"title":"The external calibration study for EarthCARE/CPR","authors":"H. Horie, Y. Ohno, N. Takahashi","doi":"10.1109/IGARSS.2010.5650733","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650733","url":null,"abstract":"The Cloud Profiling Radar (CPR) is one of key sensors on EarthCARE for joint project between Europe and Japan. The CPR is developed by National Institute of Information and Communications Technology (NICT) in Japan and Japanese Aerospace Exploration Agency (JAXA). The CPR uses W-band frequency and large antenna diameter in order to obtain enough sensitivity. In other words, beam footprint becomes small but antenna scanning cannot be performed. Two external calibration methods are considered. The first method is external calibration using active radar calibrator (ARC). It is foreseen the difficulty to place exact location on sub-satellite track. The second method is external calibration using naturally distributed target, such as sea surface. We describe about test experiment for first method and statistical analysis using satellite data for second method as the feasibility study.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132034106","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5653273
S. Takeuchi, M. Shikada
To obtain indoor positioning information by GPS satellite is difficult now. The Japanese Government executed a new law NSDI (National Spatial Data Infrastructure) for a spatial information society on May 30, 2007. In this law, everybody can know positional information in real time anytime and anywhere[5]. In addition, it is necessary to keep satellite positioning for realization of seamless positioning, and to promote ubiquitous network technology [1] [4]. However, the technology has not been established yet. Therefore, Integrated Circuit Tag (IC tag) was used where GPS signals could not be received to obtain information on the absolute position. The experiment was conducted to verify the reading rate of IC tag on different types and conditions. An experiment was conducted to show position information to obtain seamlessly GPS positioning and IC tag on the GIS.
利用GPS卫星获取室内定位信息是目前比较困难的。2007年5月30日，日本政府为空间信息社会执行了一项新的法律NSDI(国家空间数据基础设施)。在这个定律中，每个人都可以随时随地实时地了解位置信息[5]。此外，为了实现无缝定位，需要保持卫星定位，推广泛在网络技术[1][4]。然而，这项技术还没有建立起来。因此，在无法接收GPS信号的情况下，采用集成电路标签(Integrated Circuit Tag, IC Tag)来获取绝对位置信息。通过实验验证了IC标签在不同类型和条件下的读取速率。为了在GIS上实现GPS定位与IC标签的无缝对接，进行了位置信息显示实验。
{"title":"On the method of obtaining indoor positioning information for realization advanced geospatial information society","authors":"S. Takeuchi, M. Shikada","doi":"10.1109/IGARSS.2010.5653273","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5653273","url":null,"abstract":"To obtain indoor positioning information by GPS satellite is difficult now. The Japanese Government executed a new law NSDI (National Spatial Data Infrastructure) for a spatial information society on May 30, 2007. In this law, everybody can know positional information in real time anytime and anywhere[5]. In addition, it is necessary to keep satellite positioning for realization of seamless positioning, and to promote ubiquitous network technology [1] [4]. However, the technology has not been established yet. Therefore, Integrated Circuit Tag (IC tag) was used where GPS signals could not be received to obtain information on the absolute position. The experiment was conducted to verify the reading rate of IC tag on different types and conditions. An experiment was conducted to show position information to obtain seamlessly GPS positioning and IC tag on the GIS.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"714 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132246915","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5650728
M. Takala, J. Pulliainen, K. Luojus, J. Lemmetyinen, Mwaba Kangwa, S. Metsämäki, J. Koskinen
Snow Water Equivalent (SWE) is a measure which describes the amount of snow. The authors have developed algorithm to estimate SWE assimilating spaceborne and ground based observations. The authors have also developed algorithm to detect the snow clearance date. In this work those algorithms are combined to produce a single snow product. Two series of figures are presented and the improvements discussed.
{"title":"Combined hemispherical scale SWE and snow clearance monitoring","authors":"M. Takala, J. Pulliainen, K. Luojus, J. Lemmetyinen, Mwaba Kangwa, S. Metsämäki, J. Koskinen","doi":"10.1109/IGARSS.2010.5650728","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650728","url":null,"abstract":"Snow Water Equivalent (SWE) is a measure which describes the amount of snow. The authors have developed algorithm to estimate SWE assimilating spaceborne and ground based observations. The authors have also developed algorithm to detect the snow clearance date. In this work those algorithms are combined to produce a single snow product. Two series of figures are presented and the improvements discussed.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132252076","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5651248
Hiroyoshi Yamada, R. Komaya, Y. Yamaguchi, R. Sato
The scattering power decomposition for POLSAR data is one of the powerful tools in the radar polarimetry. There are several model-based decomposition techniques. However, since the number of independent observables in POLSAR images is limited, these techniques require several assumptions to obtain unique solution. The authors have proposed an alternative technique with POL-InSAR dataset. By using the POL-InSAR dataset, we can increase the number of observables. However, selection of volume scattering component was still a problem. Recently, Dr. Arii et. al., proposed a generalized volume scattering model, and applied it to the POLSAR dataset with the adaptive non-negative eigenvalue decomposition technique. In this report, we appy the model to the ESPRIT-based POL-InSAR decomposition technique and verify the estimation performance experimentally.
{"title":"Esprit-based scattering power decomposition by using modified volume scattering model","authors":"Hiroyoshi Yamada, R. Komaya, Y. Yamaguchi, R. Sato","doi":"10.1109/IGARSS.2010.5651248","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5651248","url":null,"abstract":"The scattering power decomposition for POLSAR data is one of the powerful tools in the radar polarimetry. There are several model-based decomposition techniques. However, since the number of independent observables in POLSAR images is limited, these techniques require several assumptions to obtain unique solution. The authors have proposed an alternative technique with POL-InSAR dataset. By using the POL-InSAR dataset, we can increase the number of observables. However, selection of volume scattering component was still a problem. Recently, Dr. Arii et. al., proposed a generalized volume scattering model, and applied it to the POLSAR dataset with the adaptive non-negative eigenvalue decomposition technique. In this report, we appy the model to the ESPRIT-based POL-InSAR decomposition technique and verify the estimation performance experimentally.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132319274","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5649771
G. Marchisio, F. Pacifici, C. Padwick
We apply a comparative data mining framework to the multispectral classification of WorldView-2 (WV2) imagery. Our goal is two-fold. First, we want to identify land covers for which the combination of extended spectral coverage and high spatial resolution provide a distinctive advantage in classification accuracy. Second, we perform predictor analyses to determine which combinations of bands are more effective in resolving individual targets. This experimental approach provides a basis for building a spectral atlas that can offer guidance on the optimal combination of WV2 spectral bands for different application areas.
{"title":"On the relative predictive value of the new spectral bands in the WorldWiew-2 sensor","authors":"G. Marchisio, F. Pacifici, C. Padwick","doi":"10.1109/IGARSS.2010.5649771","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649771","url":null,"abstract":"We apply a comparative data mining framework to the multispectral classification of WorldView-2 (WV2) imagery. Our goal is two-fold. First, we want to identify land covers for which the combination of extended spectral coverage and high spatial resolution provide a distinctive advantage in classification accuracy. Second, we perform predictor analyses to determine which combinations of bands are more effective in resolving individual targets. This experimental approach provides a basis for building a spectral atlas that can offer guidance on the optimal combination of WV2 spectral bands for different application areas.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130094731","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：