Pub Date : 1997-08-03DOI: 10.1109/IGARSS.1997.606412
L. E. Fishtahler
The Moderate Resolution Imaging Spectroradiometer (MODIS) instrument will view the Earth in 36 spectral bands ranging from 0.4 to 1.4 micrometers with spatial resolution from 250 to 1,000 meters. Its first flight will be onboard the EOS-AMI spacecraft scheduled for launch in mid'98 into a near-polar 10:30 AM descending Sun-synchronous orbit. The science instrument data will be brought to Goddard Space Flight Center for conversion from raw counts to TOA radiances supplemented with geolocation, view angle, and Sun angle information. The MODIS Science Team consists of more than thirty members, divided into four discipline groups: Atmosphere, Land, Ocean, and Calibration. The MODIS Science Team is developing algorithms to routinely produce various standard data products. This paper identifies information resources associated with the MODIS standard data products.
{"title":"Standard data products from the MODIS Science Team","authors":"L. E. Fishtahler","doi":"10.1109/IGARSS.1997.606412","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.606412","url":null,"abstract":"The Moderate Resolution Imaging Spectroradiometer (MODIS) instrument will view the Earth in 36 spectral bands ranging from 0.4 to 1.4 micrometers with spatial resolution from 250 to 1,000 meters. Its first flight will be onboard the EOS-AMI spacecraft scheduled for launch in mid'98 into a near-polar 10:30 AM descending Sun-synchronous orbit. The science instrument data will be brought to Goddard Space Flight Center for conversion from raw counts to TOA radiances supplemented with geolocation, view angle, and Sun angle information. The MODIS Science Team consists of more than thirty members, divided into four discipline groups: Atmosphere, Land, Ocean, and Calibration. The MODIS Science Team is developing algorithms to routinely produce various standard data products. This paper identifies information resources associated with the MODIS standard data products.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"28 1","pages":"1249-1251 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81074386","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615801
M. Mitnik, L. Mitnik, M. Hsu
Real aperture radar (RAR) and microwave images of typhoon Ryan (9514) obtained from Okean-8 and DMSP satellites are analyzed to reveal the fine details of surface wind and precipitation fields. The evolution of precipitation patterns is considered using the SSM/I data.
{"title":"Radar and microwave radiometer sensing of typhoon Ryan","authors":"M. Mitnik, L. Mitnik, M. Hsu","doi":"10.1109/IGARSS.1997.615801","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615801","url":null,"abstract":"Real aperture radar (RAR) and microwave images of typhoon Ryan (9514) obtained from Okean-8 and DMSP satellites are analyzed to reveal the fine details of surface wind and precipitation fields. The evolution of precipitation patterns is considered using the SSM/I data.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"37 1","pages":"70-72 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81088812","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.609148
F. Holecz, J. Moreira, P. Pasquali, S. Voigt, E. Meier, D. Nuesch
The goal of this paper is to present the generation of high resolution digital surface models using airborne AeS-1 interferometric SAR data, their automatic geocoding and mosaicing. In order to be able to carry out these steps, high precision differential Global Positioning System data, high frequency attitude data of the platform, exact time synchronization and range delay of the system must be known. Since in the airborne case motion instabilities are large, due to dynamic properties of the aircraft and atmospheric turbulences, precise motion measurements of the platform are extracted and considered during the SAR processing. Once that all these basic requirements are fulfilled, one is able, using the processing reference tracks, and exploiting a forward-backward geocoding, to convert the phase differences to elevation data and to geolocate them by taking into account all geodetic and cartographic transforms. Results based on 400 MHz X-band InSAR data show that the derived surface model has a positioning accuracy in the order of 0.5 m and a height accuracy better than 0.3 m.
{"title":"Height model generation, automatic geocoding and a mosaicing using airborne AeS-1 InSAR data","authors":"F. Holecz, J. Moreira, P. Pasquali, S. Voigt, E. Meier, D. Nuesch","doi":"10.1109/IGARSS.1997.609148","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.609148","url":null,"abstract":"The goal of this paper is to present the generation of high resolution digital surface models using airborne AeS-1 interferometric SAR data, their automatic geocoding and mosaicing. In order to be able to carry out these steps, high precision differential Global Positioning System data, high frequency attitude data of the platform, exact time synchronization and range delay of the system must be known. Since in the airborne case motion instabilities are large, due to dynamic properties of the aircraft and atmospheric turbulences, precise motion measurements of the platform are extracted and considered during the SAR processing. Once that all these basic requirements are fulfilled, one is able, using the processing reference tracks, and exploiting a forward-backward geocoding, to convert the phase differences to elevation data and to geolocate them by taking into account all geodetic and cartographic transforms. Results based on 400 MHz X-band InSAR data show that the derived surface model has a positioning accuracy in the order of 0.5 m and a height accuracy better than 0.3 m.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"9 1","pages":"1929-1931 vol.4"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78556082","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.609054
J. Conel, W. Ledeboer, S. Pilorz, J. Martonchik, R. Kahn, W. Abdou, C. Bruegge, M. Helmlinger, B. Gaitley
A plan for the ground-based validation of MISR aerosol retrieval is outlined. Activities occur in two phases: (1) pre-launch, work is focused on technique development and MISR algorithm validation using conventional ground-based methods and a MISR simulator (AirMISR) operating from the ER-2 aircraft to simulate MISR on-orbit observations. (2) Post-launch, the validation program relies on ground campaigns, underflights with the MISR simulator and the use of local measurements of aerosol loading and properties and irradiance measurements derived from the AERONET and ISIS networks.
{"title":"Ground-based validation of the EOS Multi-angle Imaging SpectroRadiometer (MISR) aerosol retrieval algorithms and science data products","authors":"J. Conel, W. Ledeboer, S. Pilorz, J. Martonchik, R. Kahn, W. Abdou, C. Bruegge, M. Helmlinger, B. Gaitley","doi":"10.1109/IGARSS.1997.609054","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.609054","url":null,"abstract":"A plan for the ground-based validation of MISR aerosol retrieval is outlined. Activities occur in two phases: (1) pre-launch, work is focused on technique development and MISR algorithm validation using conventional ground-based methods and a MISR simulator (AirMISR) operating from the ER-2 aircraft to simulate MISR on-orbit observations. (2) Post-launch, the validation program relies on ground campaigns, underflights with the MISR simulator and the use of local measurements of aerosol loading and properties and irradiance measurements derived from the AERONET and ISIS networks.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"52 1","pages":"1743-1748 vol.4"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78558536","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.606462
M. Hellmann, S. R. Cloude, K. Papathanassiou
The investigation presented in this paper demonstrate a first order approach to an automatic classification and extraction of cartographic relevant features from SAR data. The authors propose a fusion of polarimetric and interferometric classification techniques that is able to solve several classification ambiguities which are not resolvable with one method alone and is also able to improve significantly the accuracy of the classification results. The complimentarity of the polarimetric and interferometric coherence based classification approaches and the improvements resulting from their combination are demonstrated using data from the space-shuttle-borne SIR-C/X-SAR radar system.
{"title":"Classification using polarimetric and interferometric SAR-data","authors":"M. Hellmann, S. R. Cloude, K. Papathanassiou","doi":"10.1109/IGARSS.1997.606462","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.606462","url":null,"abstract":"The investigation presented in this paper demonstrate a first order approach to an automatic classification and extraction of cartographic relevant features from SAR data. The authors propose a fusion of polarimetric and interferometric classification techniques that is able to solve several classification ambiguities which are not resolvable with one method alone and is also able to improve significantly the accuracy of the classification results. The complimentarity of the polarimetric and interferometric coherence based classification approaches and the improvements resulting from their combination are demonstrated using data from the space-shuttle-borne SIR-C/X-SAR radar system.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"41 1","pages":"1411-1413 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83603255","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615278
F. Mahootian
Earth system science (ESS) is a holistic study of the Earth. ESS marshals the resources a variety of scientific and technical fields to explore interactions among the Earth's component subsystems in order to understand the Earth as a system, to explain Earth dynamics and Earth evolution, and to address the problem of the affects of human actions on global change. In order to investigate the Earth system, teachers and students need access to expertise in a broad variety of disciplines: chemistry, physics, computer science, biology, mathematics, statistics, and political science. A variety of relatively new skills are also required: networked computing, tools and techniques for retrieving, visualizing, and analyzing remote sensing data, and building dynamic systems models. The question of visualization of remote sensing data became a central issue in curriculum development efforts of the Earth System Science Community (ESSC), a three-year project supported by NASA's Information Infrastructure Technology and Applications and High Performance Computing and Communication programs. The thrust of the curriculum development effort was to enable students and teachers to conduct investigations in global change topics using remote sensing data gathered by NASA and other science agencies. The curriculum was project-based, with the intention of producing an authentic and living sense of understanding and participation in science research. Students and teachers were to collaborate online with their peers in other schools, and with scientists/mentors in universities and government science agencies. In this effort students and teachers become researchers and learn to design and carry out a research strategy, involving the proposal and articulation of a hypothesis, the building of a system model, and the search, retrieval, manipulation, visualization and analysis of appropriate data. Students conclude their research by testing their hypothesis with available data, using visualization software, and information available in print and on-line. Finally, students communicate the results of their research by publishing their reports, data, data products, and systems models.
{"title":"Issues of WWW-based data visualization in the Earth System Science classroom","authors":"F. Mahootian","doi":"10.1109/IGARSS.1997.615278","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615278","url":null,"abstract":"Earth system science (ESS) is a holistic study of the Earth. ESS marshals the resources a variety of scientific and technical fields to explore interactions among the Earth's component subsystems in order to understand the Earth as a system, to explain Earth dynamics and Earth evolution, and to address the problem of the affects of human actions on global change. In order to investigate the Earth system, teachers and students need access to expertise in a broad variety of disciplines: chemistry, physics, computer science, biology, mathematics, statistics, and political science. A variety of relatively new skills are also required: networked computing, tools and techniques for retrieving, visualizing, and analyzing remote sensing data, and building dynamic systems models. The question of visualization of remote sensing data became a central issue in curriculum development efforts of the Earth System Science Community (ESSC), a three-year project supported by NASA's Information Infrastructure Technology and Applications and High Performance Computing and Communication programs. The thrust of the curriculum development effort was to enable students and teachers to conduct investigations in global change topics using remote sensing data gathered by NASA and other science agencies. The curriculum was project-based, with the intention of producing an authentic and living sense of understanding and participation in science research. Students and teachers were to collaborate online with their peers in other schools, and with scientists/mentors in universities and government science agencies. In this effort students and teachers become researchers and learn to design and carry out a research strategy, involving the proposal and articulation of a hypothesis, the building of a system model, and the search, retrieval, manipulation, visualization and analysis of appropriate data. Students conclude their research by testing their hypothesis with available data, using visualization software, and information available in print and on-line. Finally, students communicate the results of their research by publishing their reports, data, data products, and systems models.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"27 1","pages":"854-856 vol.2"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73593054","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.606435
H. Greidanus, C. Calkoen, I. Hennings, R. Romeiser, J. Vogelzang, G. Wensink
Multi-frequency airborne SAR data over a submerged reef, with very large associated surface current variations, are compared with model calculations, using a wide variety in models and parametrizations. It is concluded that all models still underestimate the measured contrasts, that detailed differences in models cannot be validated due to speckle and non-bathymetric features, and that L-band is more suited for bathymetry applications than C- or X-band.
{"title":"Intercomparison and validation of bathymetry radar imaging models","authors":"H. Greidanus, C. Calkoen, I. Hennings, R. Romeiser, J. Vogelzang, G. Wensink","doi":"10.1109/IGARSS.1997.606435","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.606435","url":null,"abstract":"Multi-frequency airborne SAR data over a submerged reef, with very large associated surface current variations, are compared with model calculations, using a wide variety in models and parametrizations. It is concluded that all models still underestimate the measured contrasts, that detailed differences in models cannot be validated due to speckle and non-bathymetric features, and that L-band is more suited for bathymetry applications than C- or X-band.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"34 1","pages":"1320-1322 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79531723","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.609135
Y. Timofeyev, A. Vasilyev, V. Rozanov
On the basis of the GOMETRAN radiative code, calculations of spectral covariance matrices of outgoing radiation in the 240-700 nm spectral range have been performed. It gave a possibility to examine the information content of measurement data simulated at different measurement designs (various measurement geometry and errors; different conditions of Sun illumination and surface albedo) and to estimate the optimal number of measurement channels. The numbers of independently measurable parameters at measurement errors ranging from 0.1 to 1.0% are 8-11, 1-2 for atmospheric content of the ozone and NO/sub 2/, respectively; 6-12 and 5-8, describing the aerosol optical characteristics and atmospheric density, respectively.
{"title":"Information content of outgoing reflected and scattering solar radiation in UV and visible spectral ranges","authors":"Y. Timofeyev, A. Vasilyev, V. Rozanov","doi":"10.1109/IGARSS.1997.609135","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.609135","url":null,"abstract":"On the basis of the GOMETRAN radiative code, calculations of spectral covariance matrices of outgoing radiation in the 240-700 nm spectral range have been performed. It gave a possibility to examine the information content of measurement data simulated at different measurement designs (various measurement geometry and errors; different conditions of Sun illumination and surface albedo) and to estimate the optimal number of measurement channels. The numbers of independently measurable parameters at measurement errors ranging from 0.1 to 1.0% are 8-11, 1-2 for atmospheric content of the ozone and NO/sub 2/, respectively; 6-12 and 5-8, describing the aerosol optical characteristics and atmospheric density, respectively.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"20 1","pages":"1905-1907 vol.4"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85384339","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.606461
J. Lee, D. Schuler, T. Ainsworth, L. Du
Polarimetric SAR has been successfully applied for, terrain and land-use classification, soil moisture and biomass measurements, and many other areas of remote sensing. However, its application to ocean and coastal areas has not been developed. This paper describes several remote-sensing applications for the littoral zone using polarimetric SAR. SIR-C L- and C-band and JPL AIRSAR images are used for illustration.
{"title":"Littoral remote sensing using polarimetric SAR","authors":"J. Lee, D. Schuler, T. Ainsworth, L. Du","doi":"10.1109/IGARSS.1997.606461","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.606461","url":null,"abstract":"Polarimetric SAR has been successfully applied for, terrain and land-use classification, soil moisture and biomass measurements, and many other areas of remote sensing. However, its application to ocean and coastal areas has not been developed. This paper describes several remote-sensing applications for the littoral zone using polarimetric SAR. SIR-C L- and C-band and JPL AIRSAR images are used for illustration.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"96 1","pages":"1407-1410 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85412783","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615915
G. Sun, K. Ranson
Because of the uncertainties of orbit parameters and baseline, the accuracy of the DEM derived from SIR-C/XSAR interferometric data is limited. The authors describe the use of SLA (Shuttle Laser Altimeter) data as tie-points to construct a DEM from SIR-C interferometry data. The methods and results using preliminary SLA are reported and discussed.
{"title":"Digital elevation models from SIR-C interferometric and Shuttle Laser Altimeter (SLA) data","authors":"G. Sun, K. Ranson","doi":"10.1109/IGARSS.1997.615915","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615915","url":null,"abstract":"Because of the uncertainties of orbit parameters and baseline, the accuracy of the DEM derived from SIR-C/XSAR interferometric data is limited. The authors describe the use of SLA (Shuttle Laser Altimeter) data as tie-points to construct a DEM from SIR-C interferometry data. The methods and results using preliminary SLA are reported and discussed.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"21 1","pages":"460-462 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85668056","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}