Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing最新文献

{"title":"Diagnostics Of Tropical Cyclone Anomalous Trajectory On The Ground Of Sea Surface Microwave Emission","authors":"I. V. Cherny, G. Gus'kov, S. S. Moiseev","doi":"10.1109/COMEAS.1993.700167","DOIUrl":"https://doi.org/10.1109/COMEAS.1993.700167","url":null,"abstract":"","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121337359","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":"Optical And Microwave Sensing Of Breaking Waves In Ocean","authors":"V. Raizer","doi":"10.1109/COMEAS.1993.700171","DOIUrl":"https://doi.org/10.1109/COMEAS.1993.700171","url":null,"abstract":"Combined opt ical-microwave methods are applied for the study of ocean surface dynamics. wave breaking and foam formation. The main problem is the estimation of the ocean surface state from aerospace data. Several years ago we made a series of detailed laboratory experiments with the help of microwave radiometers of mm-, cmand dm-range combined with natural measurements as well as the creation of electrodynamic models of the effects observed. Alongside aircraft optical remote sensing of ocean surface under conditions close to wind speed change was applied. Ocean surface optical images with foam and whitecaps structures were processed by special computer metric algorithms. The focus of the studies was on foam formations as the most common type of two-phase medium in ocean. Laboratory experiments demonstrated radiation spectral and polarization characteristics dependence on foam layer dispersion structure. The effects of high absorption on foam bubbles play the crucial. role, and that accounts for their high emissivity. Experimental data well agree with the quasistatic model. in which effective dielectric permittivity depends on bubbles parameters and size distribution. Microwave properties of spray or concentrated droplet clouds found above foam coverage were investigated on the basis of numerical solution of radiation transfer equation for discrete scattering media. It was shown, in particular, that effects connected with the spray layer influence can yield both positive and negative brightness temperature contrasts, radiation spectrum depending on spray concentration. Undersurface bubble population influence on the ocean microwave radiation is observed mainly in long cmand dmranges. which is connected with the sharp change in skin depth characteristics because of its two-phase structure. Separate microwave investigation of different two-phase structures made it possible to design a complex microwave model of a general two-phase layer spray, foam, and bubble population combined. It is a multiparameter model that takes into account not o n l v the structure hierarchy of a real two-phase medium in the ocean, but also statictics and spatial distribution of wave breaking. We have found, for example. that size histograms and fractal dimensions differ for foam streaks and whitecaps and vary depending on wind-wave generation state. The idea of fractal dimension has resolved the problem of ocean state quantization. We can say also, that wave breaking field is self-similar at different storm conditions. A semiempirical rriridel was designed to desc r ibe the radiation-wind dependence of brightness temperature in the ocean-atmosphere s y s t e m . The concept of combined opticalmicrowave technique could be applied for investigation of global non-linear prr:cesses. wind-wave fetch and surge development in ocean.","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129513394","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":"Measurement Of High Resolution Microwave Surface Emittance Using Advanced Multisensor Data Fusion Techniques","authors":"A.S. Jones, K. E. Eis, T. H. Vonder Haar","doi":"10.1109/COMEAS.1993.700232","DOIUrl":"https://doi.org/10.1109/COMEAS.1993.700232","url":null,"abstract":"Multisensor satellite data applications require a tremendous investment regarding data preparation and analysis. Advanced software processing techniques used in the Polar Orbiter Remapping and Transformation Application Library (PORTAL) (Jones and Vonder Haar, 1992) are used to show how polar DMSP SSM/I microwave data and geostationary GOES VISSR infrared data can be combined to measure the microwave surface emittance at the full spatial sensor resolution. In addition, the infrared data is also used to cloud-clear the microwave surface emittance results.","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114690674","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":"Microwave/optical Studies Of Saline Ice, Snow, Melt Ponds And Refrozen Melt Pond Ice","authors":"J. Bredow, D. Gibbs, C. Betty, A. Fung, S. Gogineni","doi":"10.1109/COMEAS.1993.700186","DOIUrl":"https://doi.org/10.1109/COMEAS.1993.700186","url":null,"abstract":"Combined Optical, Microwave, Earth and Atmosphere Sensing, 1993. Proceedings of IEEE Topical Symposium on March 22-25, 1993.","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121284173","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":"Atmospheric Correction For Ocean Color Remote Sensing","authors":"I. Sano, S. Mukai","doi":"10.1109/COMEAS.1993.700185","DOIUrl":"https://doi.org/10.1109/COMEAS.1993.700185","url":null,"abstract":"This paper focuses on aerosol retrieval algorithms for atmospheric correction. First a data processing system for ocean color remote sensing, which represents derivation of phytoplankton pigment concentrations near the sea surface from the satellite data, is shown. In this system removal of atmospheric light from the space-borne data, which is called atmospheric correction, is an indispensable process. It is well known that atmospheric light is mainly caused by multiply scattered light by aerosols. Therefore we describe an algorithm to set up aerosol models, referring to the Nimbus-7 CZCS data, for our atmospheric correction including multiple scattering light in tlie atmosphere-ocean model. Our algorithm is based on the idea that aerosol characteristics can be estimated in terms of the scattering behavior. Finally it is shown that relationships between the obtained ocean color image and tlie surface temperature map can be used to analyze the oceanic feature.","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123921441","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":"Synergy Of Optical And Microwave Remote Sensing With Respect To Agricultural Crops Illustrated With MAC Europe Campaign 1991","authors":"H. van Leeuwen, G. Rijckenberg, M. Borgeaud, J. Noll, O. Taconet, P. Perez","doi":"10.1109/COMEAS.1993.700180","DOIUrl":"https://doi.org/10.1109/COMEAS.1993.700180","url":null,"abstract":"Remote sensing techniques in agriculture have evolved to more or less operational tools for the estimation of characteristics of the studied object. These tools consist of forward modeling, which represents a (physical) description of the measurement situation, and of inverse modeling, which consists of mathematical techniques to invert the interaction models. In the visible and the microwave region of the spectrum, complementary information of the studied object can be derived with inversion of these remote sensing models. In this paper simple models have been used to illustrate the methodology. Inversion can be accomplished by using linearization techniques and sensitivity analysis of the RS model in study, in order to derive simple linear equations. With help of singular value decomposition these linear equations can be solved which will lead to a set of possible parameter combinat ions. A priori knowledge as the type of vegetation, conditions, time of the year, variations in sensortype, etc. is vital to narrow the solution space. Therefore crop growth models will contribute to a better insight of the inversion problem. Errors in estimation of these parameters can be expressed in confidence limits. The European Multi-Aircraft Campaign (MAC’91) combined a wide spectrum of sensors deployed in the growing season June, July and August 1991. For the first time identical microwave and optical sensors were flown over test sites in The Netherlands, Germany, UK, France and Italy. To illustrate the methodology we use the data sets of the AGRISCATT’88 campaign with its extensive grounddata survey and the Mac-Europe 1991 campaign","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124773781","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":"Aviosar 580 Campaign On The Matera Test Site, Neural Network Approach For Optical And SAR Data Classification","authors":"P. Blonda, R. Loizzo, P. Pósa, R. Sergi, P. Smacchia","doi":"10.1109/COMEAS.1993.700183","DOIUrl":"https://doi.org/10.1109/COMEAS.1993.700183","url":null,"abstract":"The objective of the present work has beep tu state the applicabity of a Neural Network approach to the analysis of Multiwavelength Remote Sensed Images and to verify the effectiveness of the neurd tool with respect to a maximum likelihood statistical one. In order to achieve this goal, it has been constructed an integrated datta-set, composed by a single date Thematic Mapper (TM) geocoded image m d a multiband SAR data. Thc microwave data consist of multipolarised C and X bands airborne SAR imagery,acquired on the Southern Italy Matera test site in the framework Of the AVIOSAR 580 itaban campaign in October 1990. In coincidence with the airborne data an extensive ground truth was collected on the site for near 50 homogeneous agricdturd fields. The ground truth has bee digitized and ruperimpoaed to the the remote sensed images. In this manner the points belonging to the fields of known ground truth have been extracted; some of them have been used as training and some as test set. The selected points haye been analyzed usjng both a MaximumLikelihood classification algorithm and a neural network based approach. As a neural architecture a three-layered feedforward Neural Network, trained with the backprogation algorithm, has been used. The Fe6dtS of the comparkon of the two approaches will be shown and discussed both in terms of statistical properties of training data sets used in the learning phwc and in terms of network characteristics.","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127548068","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":"Laser Scattering In Clouds","authors":"S. Maruvada, Y. Rau, G. Evanisko, C. R. Philbrick","doi":"10.1109/COMEAS.1993.700223","DOIUrl":"https://doi.org/10.1109/COMEAS.1993.700223","url":null,"abstract":"Experimental results on optical scattering in clouds have been obtained using lidar techniques. These techniques have been used to develop a theoretical interpretation of optical extinction in various cloud structures and in the stratospheric aerosol layer. Measurements have been made with the LAMP (Laser Atmospheric Measurement Program) lidar of Pennsylvania State University. The inverse lidar equation must be used to calculate the extinction coefficient in order to profile the atmospheric density. Two inversion methods have been used to calculate the extinction coefficient: (1) Klett's inversion method and (2) inversion of the lidar equation directly using the 607 nm N, Raman wavelength retum. These methods have been compared using results obtained during several different atmospheric conditions.","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128745971","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":"Rainfall Estimation From Combined Microwave And Infrared Satellite Observations","authors":"L. Giglio, C. Kummerow","doi":"10.1109/COMEAS.1993.700170","DOIUrl":"https://doi.org/10.1109/COMEAS.1993.700170","url":null,"abstract":"Introduction Rainfall retrievals from passive microwave instruments are capable of producing very accurate instantaneous rainfall estimates. They suffer, however, from the poor sampling available from polar orbiting spacecraft. The current microwave sensor on board the DMSP spacecraft observes a point near the equator approximately 26 times per month. Of these 26 overpasses, it senses precipitation an average of only 10% of the time. With this in mind, it is not surprising that large errors in monthly rain estimates are possible even though the retrievals appear very accurate at the time of overpass. In this paper we discuss a technique for calibrating the less correlated, but far more frequent infrared observations from geostationary platforms with passive microwave observations. Examples over Darwin, Australia and the western Pacific are used to illustrate the merits of such a technique.","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121370418","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":"Microwave And Optical Techniques For Forest Monitoring: The Black Forest Experiment","authors":"C. Lavalle, G. Schmuck, A. Sieber, G. Andreoli, B. Hosgood, G. Kattenborn, C. Pohl, S. Ustin","doi":"10.1109/COMEAS.1993.700181","DOIUrl":"https://doi.org/10.1109/COMEAS.1993.700181","url":null,"abstract":"During the Summer 1991 the multisensor campaign MAC-Europe 91 took place over several test sites in Europe. The Institute for Remote Sensing Application of the Joint Research Centre selected the Black Forest area in South Germany for the experiment. Intensive ground truth mapping and information provided by the German Forestry department complemented the remote sensed data sets over the site. The information content of the electromagnetic wave reflected by the vegetation layer is exploited by using a large class of sensors (AVIRIS, TMS, GER 11, AIRSAR) operating from the visible to the microwave regions. In this paper we present preliminary results achieved by computing classical indices derived from optical (NDVI,MSI,GEMI, Red edge ) and radar (backscattered power,polarization indices) data acquired on the same test site.The radiometrically calibrated optical data were first corrected for atmospheric effects, using an empirical method for the GER I1 data and the Atmospheric Removal Procedure for the AVIRIS data. The radar images were calibrated and georeferenced. The various indices were then produced. According to literature, these indices are sensitive to a variety of canopy characteristics such as biomass (leafy and woody), water content and tree growth stage (structure, damage). The retrieved indices were correlated with the available ground information on these variables and their performance was assessed for this particular test site.","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"46 93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128364263","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}