{"title":"Analysis of roughness effects based in-situ ELBARA-II and spaceborne SMOS observations over the vas (Valencia Anchor Station)","authors":"A. M. Miernecki","doi":"10.1109/IGARSS.2012.6351458","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351458","url":null,"abstract":"The European Space Agency (ESA) Soil Moisture and Ocean Salinity mission (SMOS), was launched in November 2009. The payload for the mission was the Microwave Imaging Radiometer using Aperture Synthesis [1, 2]. Since the launch, global maps of brightness temperatures (TB) at L-band have been available. Angular characteristics of TB for horizontal and vertical polarization are used for the simultaneous retrieval of surface soil moisture (SM) and vegetation optical depth (TAU). Ground based radiometers such as the ELBARA-II radiometer [3] at the Valencia Anchor Station (VAS) are playing a key role in Calibration/Validation activities for this mission [4]. The L-band Microwave of the Emission of Biosphere model (L-MEB) is used to obtain level 2 products (SM, TAU) from TB measured by SMOS [5]. It is important to first test all suggested improvements to L-MEB on ground-based data before implementing them into the SMOS algorithm. In this study, time series of radiometer measurements covering two vine vegetation periods were used to evaluate recent studies regarding L-MEB model with respect to this crop so significant and representative in many regions of the world. A good correlation between radiometer and SMOS TB was found (0.8). For the level 2 products, the correlation was less pronounced and varied with surface conditions and type of the orbit.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125395289","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 semi-empirical optical data fusion technique for merging aerosol optical depth over China","authors":"Hui Xu, Yong Xue, J. Guang, Yingjie Li, Leiku Yang, Tingting Hou, Xingwei He, Jing Dong, Ziqiang Chen","doi":"10.1109/IGARSS.2012.6350338","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6350338","url":null,"abstract":"MODIS and MISR are two main satellites provide aerosol observations. However, AOD products generated from these two sensors by different retrieval algorithms are inconsistent. In this paper, a semi-empirical optical fusion method was proposed to produce consistent AOD with different derived AOD datasets form MODIS and MISR. Using the semi-empirical optical algorithm, new merged AOD data sets were generated over China for 2010. We used level 2 cloud screened quality assured AERONET measurements to evaluate the merged AOD results. Our results showed that the combination of MODIS and MISR with this method could produce a more consistent, reliable AOD data with great improvement in spatial AOD coverage.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125550003","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":"Trend analysis of MODIS time-series using different vegetation indices for monitoring of cropland degradation and abandonment in central Asia","authors":"O. Dubovyk, G. Menz, A. Khamzina","doi":"10.1109/IGARSS.2012.6352089","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6352089","url":null,"abstract":"Dryland cropping systems are particularly vulnerable to land degradation processes due to climate aridity and improper management practices. Spatially explicit information on land's state, which can be derived with remote sensing techniques, should become available to support land rehabilitation decisions. This study aimed at (i) mapping a land degradation trend in the irrigated cropland in Central Asia with a linear trend analysis of the time series of the MODIS images and (ii) comparing the captured trends, based on different vegetation indices. About one-third of the study area (171,563 ha) experienced the land degradation trend during the monitoring period of 2000-2010. The trend coefficients of three vegetation indices (NDVI, EVI, SAVI) were similar with the corresponding R2-values of 0.78 (NDVI & EVI) and 0.82 (NDVI & SAVI). The revealed changes were mainly associated with the abandoned lands, where bare soil patches prevailed.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126630440","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}
N. Karouche, C. Goldstein, A. Rosak, C. Malassingne, G. Raju
{"title":"MEGHA - TROPIQUES satellite mission: In flight performances results","authors":"N. Karouche, C. Goldstein, A. Rosak, C. Malassingne, G. Raju","doi":"10.1109/IGARSS.2012.6350420","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6350420","url":null,"abstract":"MEGHA-TROPIQUES is an CNES-ISRO collaborative satellite mission designed to study atmospheric water cycles and energy exchanges in the tropical belt. The satellite was launched successfully by ISRO in October 2011 from Sriharikota launch pad (India). The satellite is carrying 4 instruments · MADRAS Instrument : A conical scanning microwave imager designed to estimate precipitations and clouds properties. · SAPHIR Instrument : A microwave sensor used to retrieve vertical humidity profiles. · SCARAB Instrument : An wide band optical radiometer used to retrieve Earth Radiation budget parameters. · GPS-ROS instrument : The sensor will provide temperature and humidity profiles of the Earth's atmosphere After 7 months of in orbit operation, this paper is presenting the measured in orbit performances of the French sensors or subsystems.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126931052","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":"Estimation of flight altitude in high frequency surface wave radar","authors":"Kongrui Zhao, Gongjian Zhou, Changjun Yu, T. Quan","doi":"10.1109/IGARSS.2012.6352543","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6352543","url":null,"abstract":"This paper proposes a new method to estimate the target altitude of an aircraft using high frequency surface wave radar(HFSWR) for the surveillance of the Exclusive Economic Zone. The initial position and velocity in 3-D coordinates are estimated based on quasi-Newton method from a sequence of measurements, this initial values are incorporated for 3-D tracking with the modified iterated extended Kalman filter(IEKF), a multiple model approach is adopted to improve the tracking accuracy. The simulation results demonstrate the effectiveness of the proposed method.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126935453","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}
C. Ruf, S. Gleason, Z. Jelenak, S. Katzberg, A. Ridley, R. Rose, J. Scherrer, V. Zavorotny
{"title":"The CYGNSS nanosatellite constellation hurricane mission","authors":"C. Ruf, S. Gleason, Z. Jelenak, S. Katzberg, A. Ridley, R. Rose, J. Scherrer, V. Zavorotny","doi":"10.1109/IGARSS.2012.6351600","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351600","url":null,"abstract":"The Cyclone Global Navigation Satellite System (CYGNSS) is a spaceborne mission concept focused on tropical cyclone (TC) inner core process studies. CYGNSS attempts to resolve the principle deficiencies with current TC intensity forecasts, which lies in inadequate observations and modeling of the inner core. CYGNSS consists of 8 GPS bistatic radar receivers deployed on separate nanosatellites. The primary science driver is rapid sampling of ocean surface winds in the inner core of tropical cyclones.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126986168","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}
N. Besic, Gabriel Vasile, J. Chanussot, S. Stankovic, J. Ovarlez, G. D'Urso, D. Boldo, J. Dedieu
{"title":"Stochastically based wet snow mapping with SAR DATA","authors":"N. Besic, Gabriel Vasile, J. Chanussot, S. Stankovic, J. Ovarlez, G. D'Urso, D. Boldo, J. Dedieu","doi":"10.1109/IGARSS.2012.6352524","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6352524","url":null,"abstract":"This paper proposes the new method for wet snow mapping using SAR data. It represents a modified version of the existing Nagler's mapping method, based on winter/summer image comparison, which is considered as the classic one. Instead of the existing unique threshold, a variable threshold matrix (function of the local incidence angle for each pixel) is proposed, based on dry and wet snow backscattering simulation results. The new membership decision method (with the respect to the dry/snow classes) is introduced. It considers the intensity ratio as a stochastical process: the probability that “the intensity ratio is smaller than the corresponding dry/wet snow determined threshold” is larger than the desired confidence level.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114922527","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":"Analysis of polarimetric ship signatures with Radarsat-2 quad-pol imagery","authors":"Fan Wu, Chao Wang, Hong Zhang, Bo Zhang","doi":"10.1109/IGARSS.2012.6352258","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6352258","url":null,"abstract":"Polarimetric information can be used to characterize the target and benefit for ship classification in SAR image. In this paper, three types of features from fine quad-polarization Radarsat-2 SAR image, such as target to clutter ratio, distribution of scatter point, coherent decomposition component, are analyzed of three types of ships such as bulk carrier, container ship and oil tanker. Preliminary results show that target to clutter ratio is not suitable to discriminate the three types of ships. HH polarization is optimal for ship detection to HV,VH and VV polarization under the condition of the incidence angle of about 48 degrees. Distribution of strong backscattering can reflect the geometry structure of ship in SAR image, and it can be a good feature for ship classification. Furthermore, the feature will be more reliable in higher resolution SAR image. Polarimetric coherent decomposition benefits for understanding scatter mechanism of scatters of different ship. However it has some limitations for ship type recognition. More features and more ship chips should be investigated for the further conclusion.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115077252","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":"Integration of multi-resolution data for crop LAI estimation based on continuous wavelet","authors":"Yingying Dong, Jihua Wang, Cunjun Li, Guijun Yang, Xingang Xu, Jinling Zhao, Wenjiang Huang","doi":"10.1109/IGARSS.2012.6352070","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6352070","url":null,"abstract":"Leaf area index (LAI) of crop canopies is important for crop growth monitoring and yield estimation. Considering the practical need of achieving distribution properties of LAI at a special spatial scale, and the difficult acquisition of corresponding observations at the same scale, a method integrating multi-resolution data at larger scales based on continuous wavelet theory is proposed to provide a more effective LAI dataset. For this method, firstly multi-scale wavelet theory is selected for multi-resolution data decomposition, and then decomposed signals and statistics of observations are coupled for wavelet reconstruction. Finally, the new constructed data is used for LAI estimation through multiple linear regression method. Barley is selected as experimental object. The performance of this method is quantitatively analyzed by testing indicators, i.e. Number of effective bands, R2, and MRA. Theory analysis and numerical practices fully confirm the feasibility and validity of the proposed method in crop LAI estimation.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115257602","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}
K. Buddhiraju, K. K. Tiwari, L. Eeti, Anubhooti Choubey, Adib Parkar
{"title":"An e-Tutor and a virtual laboratory for satellite image processing and analysis","authors":"K. Buddhiraju, K. K. Tiwari, L. Eeti, Anubhooti Choubey, Adib Parkar","doi":"10.1109/IGARSS.2012.6351926","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351926","url":null,"abstract":"Many countries are producing high quality remotely sensed images from spaceborne sensors mounted on Earth orbiting satellites. One of the handicaps in the spread of this technology among endusers is lack of trained manpower and sometimes lack of resources for teaching and imparting training in this area. In this paper, a system developed to address this gap is described where an e-Tutor combined with a virtual laboratory offer educational content, demonstrations and exercises, case studies, self-assessment quizzes and questions, instructor's resources and lastly a self-contained virtual laboratory for hands-on sessions. The content is easily adequate for one semester intensive course on digital image processing for remote sensing or two semesters if covered at a leisurely pace.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"419 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115578211","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}