{"title":"The Inversion of the Nilson-Kuusk Canopy Reflectance Model, a Test Case","authors":"A. Kuusk","doi":"10.1109/IGARSS.1991.579476","DOIUrl":"https://doi.org/10.1109/IGARSS.1991.579476","url":null,"abstract":"The Goel-Strebel procedure is used for the inversion of the Nilson-Kuusk canopy reflectance (CR) model. High resolution measurements of barley and clover canopy directional reflectance in the red spectral region during the vegetative growth were carried out with a field goniometer. The CR measurements were accompanied with the measurements of model input parameters. Thus, the correspondence between model calculations and the measured CR angular distribution, and also the capability of the inversion procedure for the determination of leaf canopy parameters are simultaneously tested. The measurements covered the vegetative growth period of canopies. The results of inversion may be rated as reasonable for most parameters, and as good in some cases. The correlation between the measured and the estimated structural parameters is 0.7-0.9 for barley and 0.6-0.9 for clover. The mean errors of the estimated leaf optical parameters are 1-3% for barley and 3-5% for clover. Lsss successful iesults in clover estimates are due to tha clumping of a clover stand and insufficient spatial averaging of goniometer measurements.","PeriodicalId":333860,"journal":{"name":"[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management","volume":"119 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123777492","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":"Remote Sensing Of Road Condition","authors":"G. Magerl, W. Pritzl, P.W. Frohling","doi":"10.1109/IGARSS.1991.575462","DOIUrl":"https://doi.org/10.1109/IGARSS.1991.575462","url":null,"abstract":"","PeriodicalId":333860,"journal":{"name":"[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125185208","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":"Preliminary Results Of Data Gathered During The East Greenland Sea Expedition, Summer 1990","authors":"V.R. Nerella, C. Grrity, R.O. Ramseier","doi":"10.1109/IGARSS.1991.580015","DOIUrl":"https://doi.org/10.1109/IGARSS.1991.580015","url":null,"abstract":"Science (AES/ISTS9 Microwave Group participated in a recent five week Polar expedition on board the research vessel FS POLARSTERN in the East Greenland sea during July - August 1990. The main objectives of the rogram were to study the physical and further modification to existing a gorithms using SSM/I sensor data. The atmospheric parameters as derived from radiometric observations will be compared with the sounding data obtained from the research vessel. The results of analyses with respect to some sea ice parameters will be presented. The aplicability of data obtained on board the POLARSTERN for the numerical ice motion medelling will be discussed.","PeriodicalId":333860,"journal":{"name":"[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122533959","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":"Air-Sea Interacting Effects On The Sea Surface Temperature Estimation","authors":"S. Tanba, R. Yokoyama","doi":"10.1109/IGARSS.1991.577700","DOIUrl":"https://doi.org/10.1109/IGARSS.1991.577700","url":null,"abstract":"","PeriodicalId":333860,"journal":{"name":"[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122764328","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":"Mission Aspects Of Meris In Oceanographic Applications","authors":"M. Morel, J. Bézy, O. F. D'andon","doi":"10.1109/IGARSS.1991.577689","DOIUrl":"https://doi.org/10.1109/IGARSS.1991.577689","url":null,"abstract":"","PeriodicalId":333860,"journal":{"name":"[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122841184","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 Concept For The Simulation Of Sar Data","authors":"F. Klaus, O. Loffeld","doi":"10.1109/IGARSS.1991.575525","DOIUrl":"https://doi.org/10.1109/IGARSS.1991.575525","url":null,"abstract":"This paper discusses a modular concept for the simulation of Synthetic Aperture Radar ( SAR ) imaging data with special consideration of orbitally based SAR systems operating in the X-band. It describes the formation of raw data of an X-band SAR, furthermore a concept and possible implementation of a model based data generator and simulator. The related and correlated problems are roughly sliced into three partitions: a) Developing of appro riate models for the objects under investigation $ere planetary surfaces with hei ht and angle dependent back scattering propertie$ Desdription of the SAR sensor and the carrier platform ( problems arising especially for the GermanItalian X-SAR mission flown on Space Shuttle because of instationary attitude errors, non uniform motion of the SAR sensor in the surrounding b)","PeriodicalId":333860,"journal":{"name":"[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management","volume":"482 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116517092","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}
J. Gastellu-Etchegorry, C. Estreguil, E. Mougin, Y. Laumonier
{"title":"Global monitoring of tropical forests with noaa gac data","authors":"J. Gastellu-Etchegorry, C. Estreguil, E. Mougin, Y. Laumonier","doi":"10.1109/IGARSS.1991.579270","DOIUrl":"https://doi.org/10.1109/IGARSS.1991.579270","url":null,"abstract":"A GIS based methodology was designed in the framework of global survey of tropical vegetation with satellite data. It is tested on forests of Sumatra with 1982 and 1988 time series of NOAA GAC. These are processed with a mono-date approach for minimizing the strong and very variable atmospheric effects. The use of iterative interactive procedures, combined with the introduction of ancillary information, especially elevation data, greatly improves the reliability of sampling processes and classification results. This study ends up with 1982, 1988 and 1982-1988 forest maps of Sumatra; it gives an assessment of the potential of NOAA GAC data for global survey of tropical forests in South East Asia.","PeriodicalId":333860,"journal":{"name":"[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132912322","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":"Change Detection From Remotely Sensed Multi-temporal Images Using Spatial Segmentation","authors":"H. Hanaizumi, H. Okumura, S. Fujiniura","doi":"10.1109/IGARSS.1991.580307","DOIUrl":"https://doi.org/10.1109/IGARSS.1991.580307","url":null,"abstract":"A new method is proposed for detection of temporal change between remotely sensed multi-spectral images. This method uses regression and segmentation techniques for reduction of apparent change due to noise and/or variation of recording gain and offset between two images. In the method, the images are normalized by fitting a line to the whole pixel scattergram between them. The line is specified by slope and intercept. Temporal change is detected when the hypothesis is rejected that a line fitted to the whole pixel scattergram is identical to that to a local area scattergram. The hypothesis is statistically tested. Noise is reduced by above regression process. The spatial segmentation is used for division of the image into small areas where density scattergrams are described well by a single set of slope and intercept. In this paper, we describe the principle and the procedures of this method. The validity of this method is confirmed by numerical simulation. A result obtained by application of this method to a pair of actual multi-temporal multi-spectral images is also shown.","PeriodicalId":333860,"journal":{"name":"[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133278982","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}
S. English, J. Foot, D.C. Jones, S. Stringer, B. Greener, N.P. Encrenaz, A. Chédin, N. Scott, C. Claud, F. Sirou, S. Uppala, M. Hallikainen
{"title":"Radiohetric Observations At 89 And 157 Ghz Of Atmospheric And Surface Properties Measured From An Aircraft","authors":"S. English, J. Foot, D.C. Jones, S. Stringer, B. Greener, N.P. Encrenaz, A. Chédin, N. Scott, C. Claud, F. Sirou, S. Uppala, M. Hallikainen","doi":"10.1109/IGARSS.1991.580261","DOIUrl":"https://doi.org/10.1109/IGARSS.1991.580261","url":null,"abstract":"","PeriodicalId":333860,"journal":{"name":"[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133462595","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":"Topography Estimation With Interferometric Synthetic Aperture Radar Using Fringe Detection","authors":"Q. Lin, J. Vesecky, H. Zebker","doi":"10.1109/IGARSS.1991.575471","DOIUrl":"https://doi.org/10.1109/IGARSS.1991.575471","url":null,"abstract":"Methods are presented for using Synthetic Aperture Radar (SAR) interferometry data to estimate surface topography. An expression is given to relate the elevation of a ground point to the phase difference of SAR images received from two spatially separated antennas. An iterative algorithm which solves for the position and elevation of each point in the image simultaneously is developed. One of the critical issues that determines the accuracy of the terrain mapping is the phase unwrapping. An approach to the problem by fringe line detection is proposed. The algorithms are tested with two Seasat SAR images of terrain near Yellowstone National Park. The resultant elevation map is compared with a USGS terrain elevation model. The error of the SAR elevation with respect to the digital terrain map is about 8.2 percent of the total terrain variation.","PeriodicalId":333860,"journal":{"name":"[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132119595","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}