{"title":"Evaluation of the 1998 forest fires in East-Kalimantan (Indonesia) using NOAA-AVHRR hotspot data and multitemporal ERS-2 SAR images","authors":"F. Siegert, G. Rucker, A. Hoffmann","doi":"10.1109/IGARSS.1999.773441","DOIUrl":"https://doi.org/10.1109/IGARSS.1999.773441","url":null,"abstract":"In spring 1998 fires have devastated large areas of tropical rainforests in Kalimantan Timur on the island of Borneo in Indonesia. The authors report on results of the synergistic use of NOAA-AVHRR and multitemporal ERS-2 SAR data to analyze this disaster. Using a temporal sequence of more than 150 NOAA-AVHRR hotspot data sets acquired from January to April 1998 and a multitemporal series of 6 ERS-2 scenes they were able to map the burned area and trace the origins of some fires. By establishing a relation between hotspot density distribution and burned scars detected in multitemporal ERS images they were able to roughly estimate the burned area for the whole province. According to this NOAA-AVHRR based projection the total area severely affected by fire in Kalimantan Timur alone is approximately 4 mil. Ha.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126149798","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":"Vegetation classification using seasonal variations at C- and Ku-band","authors":"G. Watt, P. Hardin, D. Long","doi":"10.1109/IGARSS.1999.774439","DOIUrl":"https://doi.org/10.1109/IGARSS.1999.774439","url":null,"abstract":"Using C-band data (h-pol) from the ERS-2 AMI scatterometer and Ku-band data (dual-pol) from the NASA Scatterometer we study the seasonal signatures of key vegetation classes in North America. We compare the seasonal responses of vegetation types defined by both Matthew's classification and the University of Maryland AVHRR-based classification. We then use the seasonal response in a series of vegetation classification experiments.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126159057","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}
L. Dutra, P. Hernandez F., M.E. Mazzocato, Ricardo Cartaxo Modesto de Souza, C. Oliver
{"title":"Land cover classification based on multi-date JERS-1 imagery as a basis for deforestation detection","authors":"L. Dutra, P. Hernandez F., M.E. Mazzocato, Ricardo Cartaxo Modesto de Souza, C. Oliver","doi":"10.1109/IGARSS.1999.771642","DOIUrl":"https://doi.org/10.1109/IGARSS.1999.771642","url":null,"abstract":"Deforestation detection is a key issue on tropical environment monitoring. It has been done in Brazil based mainly on visual interpretation of optical images. Cloud coverage, however, is an impediment to have reliable estimates over several Amazonian areas. L-band SAR data is a promising information source to monitor those areas. One possible approach, used in this work, is to analyse land use/cover change between successive dates to spot deforestation, being each consecutive land cover map obtained through JERS-1 land use/cover classification. Initially, each JERS-1 image is speckle filtered and a standard segmentation routine is then applied to each filtered channel. The result is an image in which each segment is represented by the average backscatter level within that segment. After segmentation stage, the segments are classified into four land use/cover classes of interest: pasture+bare soil, dirty pasture, secondary and primary forest, producing a land cover map for each year. Analysing the changes on the 1996 land cover maps related to the 1995 map, it was possible to point out areas of deforestation and other change classes. An assessment is done over an well known area near the Tapajos National Forest (Flona), in Para State, Brazil. The land use/cover maps and the change map are compared to reference areas defined by visual interpretation.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123327762","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":"Precipitation distributions from microwave and sferics data and a mesoscale weather prediction model","authors":"D. Chang, J. Weinman, C. Morales","doi":"10.1109/IGARSS.1999.775035","DOIUrl":"https://doi.org/10.1109/IGARSS.1999.775035","url":null,"abstract":"Precipitation distributions of convective rainfall events are derived from SSM/I and TMI microwave radiometric data. Histograms of coincident sferics frequency distributions are matched to those of precipitation to develop a relationship between sferics and rainfall rates. That regression between sferics and rainfall rates is used to derive convective rainfall rates from the continuously available sferics measurements at those times when no satellite data were available. Those continuous convective rainfall data are then used in a mesoscale weather forecast model to derive and predict all rainfall as well as other weather parameters. The inferred rainfall distributions are compared to those from a NWS radar network and spaceborne microwave measurements obtained from the Feb. 2-3, 1998 storm along the U.S. Gulf coast.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125327525","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":"On the action of rain in calming the sea and generating sea surface roughness","authors":"J. Forster","doi":"10.1109/IGARSS.1999.773447","DOIUrl":"https://doi.org/10.1109/IGARSS.1999.773447","url":null,"abstract":"It is well known among sailors that rain tends to calm long sea waves. Additionally to the wave damping process, rain produces short scale roughness which becomes visible especially in low wind situations. The variation of sea surface roughness due to rain influences radar backscattering. Thus it has to be taken into account when utilizing radar technique for ocean remote sensing. To analyse the action of raindrops on the sea surface, drop impacts have been photographed with high speed cameras. Laboratory investigations show that the mixing behaviour between the drop fluid and the sea surface is closely related to the hydrodynamic process of drop impact. Although for all observed drop classes spherical cavities were formed during the first milliseconds after impact, further development of the cavity differed significantly. Additionally to the laboratory investigations in-situ measurements of roughness enhancement by rain have been performed. The experiment was conducted in the harbour of Kiel using a drifting buoy system. Among other sensors the buoy is equipped with a resistance wire gauge for short wave measurement and a newly developed rain sensor. Due to drop impact processes the rain induced roughness covers a broad frequency band from 3 Hz to 30 Hz, wavelengths between 17 cm and 0.7 cm, respectively. Therefore the backscatter of X-, C- and L-band radar wavelengths, which correspond to this range, are mostly affected by rain induced sea surface roughness variations.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126647404","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":"Hierarchical multispectral image classification based on self organized maps","authors":"A. Saveliev, D.V. Dobrinin","doi":"10.1109/IGARSS.1999.771559","DOIUrl":"https://doi.org/10.1109/IGARSS.1999.771559","url":null,"abstract":"One of the problems in the thematic interpretation of the remote sensor (RS) data is the processing of the sets of multispectral, multidate images. The problem is that when we try to compare two and more RS image, we have to rectify their geometry and correct atmospheric effects. While the geometric correction could be done with any precision, the atmospheric correction for a set of images is a very complex task, and it could not be solved in a common case. The authors propose a new approach, based on the artificial neural networks, for a stable RS images classification and interpretation without the atmospheric correction. That approach, using the Kohonen's self-organized maps (SOM), has been realized as a part of the ScanEx image processing technology in a computer program NeRIS (Neural Raster Interpretation System). The Sammon's mapping of that SOM classification from the p-dimensional input image space to the 2-dimensional points on a plane (whereby the distances between the mapped vectors tend to approximate to distances of the input vectors), was used for hierarchical classification and stable thematic interpretation of the RS images.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126781239","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":"Wide swath, high resolution SAR using multiple receive apertures","authors":"N. Goodman, Devindran Rajakrishna, J. Stiles","doi":"10.1109/IGARSS.1999.772089","DOIUrl":"https://doi.org/10.1109/IGARSS.1999.772089","url":null,"abstract":"When one attempts to image a large area while maintaining high resolution, ambiguities often appear. This occurs when the number of pixels exceeds the number of measurements or when the area includes range-Doppler ambiguities. In fact, the number of independent samples obtained by a single-receiver SAR, and consequently the number of pixels that can be unambiguously imaged, is equal to the time-bandwidth product of the radar signal. It is shown that multiple receive apertures resolve this scenario by adding independent angle-of-arrival samples to the system. Because targets that are ambiguous in range and Doppler are not ambiguous in angle of arrival, an image with the same resolution as the single-aperture image, but with larger area, is unambiguously obtained. The authors present a multiple-aperture configuration, each with coherent receivers. The SAR image is calculated using three methods. The first is the traditional matched-filter method. The second is an orthogonal filter method. Last, a sidelobe cancellation filter is applied. The methods are applied after each aperture is range-Doppler processed. Therefore, the methods are used to resolve the ambiguities inherent in traditional range-Doppler processing.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126865981","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}
D. Giuli, S. Tanelli, L. Facheris, F. Cuccoli, D. Di Sepia
{"title":"A new tomographic inversion method applied to satellite-ground links to obtain atmospheric components distribution","authors":"D. Giuli, S. Tanelli, L. Facheris, F. Cuccoli, D. Di Sepia","doi":"10.1109/IGARSS.1999.771566","DOIUrl":"https://doi.org/10.1109/IGARSS.1999.771566","url":null,"abstract":"The principle of tomographic imaging for reconstruction of 2D vertical sections of atmosphere is investigated. The proposed application is water vapor monitoring through attenuation measurements at 22 GHz.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114956789","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":"Graphical solution for space applications","authors":"R.B. Inampudi","doi":"10.1109/IGARSS.1999.773580","DOIUrl":"https://doi.org/10.1109/IGARSS.1999.773580","url":null,"abstract":"Graphical solution for space applications is aimed at determining for spacecraft operation planning. The software basically gives the ground-trace and visibility pattern over the selected ground station. Ground-trace of a spacecraft is a path trace by the pierce point of a ray dropped from a given spacecraft in such a direction that it intersects normally the surface of the planet about which motion occurs. In the generation of the ground-trace the user is requested to give the starting time and closing time of the satellite to generate ground-trace. To generate the latitude and longitude values of the visibility circle the user has to get the name of station to which he requires the visibility circle data file. The ground-trace data file and visibility circle data file are separately generated and these data files are used for graphical solution. The eccentric anomaly is chosen as the independent variable in order to avoid the iterative solution of Kepler's equation each time a ground point is desired. In this paper the analysis is developed about the adopted elements and their relation to the central planet about which the satellite moves; it is formulated for elliptic motion by using heliocentric-elliptic coordinate system, geocentric-equatorial coordinate system and perifocal coordinate system. Mercatro projection is employed to make world map on which ail spirals of constants compass heading appear as straight lines. Software consists of two-versions: a) the solution with Mercator projection and b) the solution without Mercator projection. The graphical solution provides a visual aid for comprehensive planning of certain critical operations. Ground station setting of this comes as a visual tool. It gives the graphical display about ground trace and visibility pattern over the selected ground station. It will be extensively used during planning phase of various missions, includes the geosynchronous transfer orbit and all types of low Earth orbits, and it is user friendly.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115582976","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":"Assessment and monitoring of South Baltic coastal ecosystems using multiscale and multispectral remote sensing data","authors":"J. Klahre","doi":"10.1109/IGARSS.1999.774455","DOIUrl":"https://doi.org/10.1109/IGARSS.1999.774455","url":null,"abstract":"For the ecological management of a South Baltic coastal region in Mecklenburg-Vorpommern (Germany) especially data and efficient interpretation methods are needed which enable current status analyses and forecasts, for example about the short-term and long-term landscape changes. The paper describes an algorithm for the classification of biotope and land-use types based on airborne scanner data taken from DAEDALUS AADS 1268. By means of comparison of the classification results with the CIR aerial photo interpretation and with the classification of LANDSAT TM data, the advantages and disadvantages of the airborne scanner data for coastal zone monitoring are shown.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116519543","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}