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Resource and environmental monitoring

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Copyright

CC BY: Attribution 4.0 International. You can find more information here.

Bibliographic data

fullscreen: Resource and environmental monitoring

Monograph

Persistent identifier:
1669065049
Title:
Resource and environmental monitoring
Sub title:
September 1 - 4, 1998, Budapest, Hungary ; ISPRS Commission VII symposium
Scope:
XV, 818 Seiten, 15 ungezählte Seiten mit Bildtafeln
Year of publication:
1998
Place of publication:
Coventry
Publisher of the original:
RICS Books
Identifier (digital):
1669065049
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(32,7)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Corporations:
ISPRS Commission VII Symposium Resource and environmental monitoring, 1998, Budapest
International Society for Photogrammetry and Remote Sensing, Commission of Resource and Environmental Monitoring
Hungarian Society for Surveying, Mapping and Remote Sensing
Adapter:
ISPRS Commission VII Symposium Resource and environmental monitoring, 1998, Budapest
International Society for Photogrammetry and Remote Sensing, Commission of Resource and Environmental Monitoring
Hungarian Society for Surveying, Mapping and Remote Sensing
Founder of work:
ISPRS Commission VII Symposium Resource and environmental monitoring, 1998, Budapest
International Society for Photogrammetry and Remote Sensing, Commission of Resource and Environmental Monitoring
Hungarian Society for Surveying, Mapping and Remote Sensing
Other corporate:
ISPRS Commission VII Symposium Resource and environmental monitoring, 1998, Budapest
International Society for Photogrammetry and Remote Sensing, Commission of Resource and Environmental Monitoring
Hungarian Society for Surveying, Mapping and Remote Sensing
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2019
Document type:
Monograph
Collection:
Earth sciences

Chapter

Title:
INTERACTIVE POSTER SESSION
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
SNOW HYDROLOGY USING MULTI-CHANNEL, MULTI POLARIZED, MULTI-TEMPORAL SYNTHETIC APERTURE RADAR Bajzák, Dénes. [...] Roberts, Bruce A. [...] Deering, Keith W., [...]
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • Resource and environmental monitoring
  • Cover
  • ColorChart
  • Title page
  • Title page
  • ISPRS COUNCIL (1996 - 2000)
  • International Archives of Photogrammetry and Remote Sensing Volume XXXII, Part 7
  • Technical Commission VII Resource and Environmental Monitoring
  • For Sale after the Symposium
  • ISPRS TECHNICAL COMMISSIONS (1996-2000)
  • ISPRS COMMISSION VII SYMPOSIUM SCIENTIFIC PROGRAM COMMITTEE
  • ISPRS COMMISSION VII SYMPOSIUM LOCAL ORGANISING COMMITTEE
  • RAPPORTEURS / ADVISORY BOARD MEMBERS
  • INVITED PATRONS, COOPERATING AN D SUPPORTING ORGANIZATIONS
  • Foreword
  • Table of Contents
  • Working Group 1 FUNDAMENTAL PHYSICS AND MODELING
  • A TEST TO DETERMINE THE GEOMETRIC ACCURACY OF THE DIAL STATION OF THE UNIVERSITY OF CALABRIA G. Artese, V. Achilli, C. Bellecci, A. Vettore
  • A GLOBAL TOPOGRAPHIC NORMALISATION ALGORITHM FOR SATELLITE IMAGES Josef Jansa, [...]
  • DETECTION AND CORRECTION METHOD OF ATTITUDE FLUCTUATION OF SATELLITE AND S/N IMPROVEMENT USING MULTIPLE LINERAR ARRAY CCD Riichi Nagura, Ryouichi Sakaguchi
  • STREO MATCHING ALGORITHM USING NEURAL NETWORK BASED ON HOPFIELD MODEL Riichi Nagura, Nobuyuki Matsui, Teppei Ogiyama
  • APEX - AIRBORNE PRISM EXPERIMENT: AN AIRBORNE IMAGING SPECTROMETER SERVING AS A PRECURSOR INSTRUMENT OF THE FUTURE ESA LAND SURFACE PROCESSES INTERACTIONS MISSION Michael E. Schaepman and Klaus I. Itten
  • THE USE OF HYPERSPECTRAL DATA FOR PRECISION FARMING K. Staenz, J.-C. Deguise, J. M. Chen, H. McNairn, and R. J. Brown [...] T. Szeredi [...] M. McGovern [...]
  • ESTIMATION OF SURFACE REFLECTION PARAMETERS OVER LAND USING LINEAR POLARIZATION DATA BY ADEOS / POLDER Kazuya Takemata and Yoshiyuki Kawata
  • AIRBORNE REMOTE SENSING EXPERIENCES WITH DIRECT PLATFORM ORIENTATION Charles K. Toth
  • Working Group 2 APPLICATION OF REMOTE SENSING AND GIS FOR SUSTAINABLE DEVELOPMENT
  • USING GIS AND REMOTE SENSING IN LAND COVER MONITORING Kiira Aaviksoo, Andrus Meiner
  • REMOTE SENSING APPLICATIONS FOR CHANGE DETECTION IN THE COASTAL REGION OF THE NILE DELTA, EGYPT Abdel Rahman, S. I.; and M. A. Yehia
  • METHOD TO MONITOR AND QUANTIFY THE ENVIRONMENTAL IMPACT OF EUROPEAN AGRICULTURE E. A. Addink
  • MULTISENSORAL AND MULTITEMPORAL REMOTE SENSING OF ECOLOGICAL DAMAGE CAUSED BY OPEN-CAST LIGNITE MINING IN CENTRAL GERMANY Jens Birger, Cornelia Glaesser, Bernd Herrmann and Sabine Tischew
  • Remote Sensing and Urban Statistics: ‚Delimitation of the Urban Agglomeration of Budapest - Test of Delineating Enumeration Districts in the Zugló District (Budapest) Biró, M., Petrik, O., Winkler, P. [...] Faluvégi, A. [...]
  • The use of combined ELECTRE multicriteria methods and raster GIS for the spatial decision support. H. Daoud Brikci, A. Mendas & M. A. Trache
  • THE CONTRIBUTION OF REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS IN THE PREDICTION OF WATER RISING AND FLOODING FIELD Mohamed CHIKH
  • TOWARDS IMPROVED REMOTE SENSING TECHNIQUES FOR AGRICULTURAL LAND COVER MONITORING IN RUSSIA J. G. P. W. Clevers [...] C. A. Mücher [...] N. M. Vandysheva, S. V. Filonov, G. A. Zhukova [...]
  • STANDARDIZED MONITORING OF REGIONAL SCALE LANDCOVER CHANGE IN SAHELIAN AFRICA - THE REMOTE SENSING AND GIS APPROACH Elmar Csaplovics, Sigrid Hess, [...]
  • REMOTE SENSING BASED CROP MONITORING IN HUNGARY G. Csornai, Cs. Wirnhardt, Zs. Suba, P. Somogyi, G. Nádor,' dr. L. Martinovich, L. Tikász, A. Kocsis., B. Tarcsai, Gy. Zelei
  • APPLICATION OF REMOTE SENSING AND GIS ANALYSES FOR WATER AND SOLUTE TRANSPORT MODELLING Wolfgang-Albert Flügel, Bettina Müschen
  • INTEGRATION OF VARIOUS TYPES OF REMOTE SENSING DATA FOR THE MORAVA RIVER CATCHMENT EVALUATION Lena Halounová
  • MULTITEMPORAL REMOTE SENSING FOR ASSESSMENT OF LAKE BIOPRODUCTION IN RELATION TO INFLUENCING FACTORS Kerstin Munier, Sigrid Roessner, Sabine Thiemann; [...]
  • ACCESSIBILITY OF GEOGRAPHIC INFORMATION IN THE STATE OF NORTH CAROLINA Zsolt Nagy, [...]
  • MONITORING OF LAND USE AND CROP GROWTH CONDITIONS IN EUROPE G. J. A. Nieuwenhuis, C. A. Mücher and A. J. W de Wit
  • AN ENVIRONMENTAL MONITORING SYSTEM FOR THE LUSATIAN BROWN COAL MINING INDUSTRY IN EAST GERMANY M. Pilarski, S. Oppitz
  • REMOTE SENSING AND GIS FOR SUSTAINABLE DEVELOPMENT: AN OVERVIEW D. P. Rao
  • APPLICATION OF PHOTOGRAMMETRY, REMOTE SENSING AND GIS TECHNOLOGY AND EMPLOYMENT OF GeoSET SYSTEM IN BIEBRZA NATIONAL PARK Jerzy C. Saczuk
  • FOREST FIRE MONITORING AND DAMAGE ASSESSMENT IN MEDITERRANEAN LANDSCAPES THROUGH THE INTEGRATION OF REMOTE SENSING AND GIS TECHNIQUES Jesús San Miguel-Ayanz, Alessandro Annoni, Guido Schmuck, Jean Meyer-Roux
  • Estimating erosion rates of tropical shorelines from RADARSAT-1 Vern Singhroy [...] Marx Barbosa [...]
  • ALLOCATION OF SOIL RECLAIMING MATERIAL BASED ON DIGITAL PROCESSING OF AERIAL PHOTOGRAPH T. Tóth, L. Pásztor, M. Kertész, B. Zágoni and Zs. Bakacsi
  • APPLICATION OF REMOTE SENSING DATA FOR THE FLOOD INFORMATION MANAGEMENT OF THE ODER RIVER REGION H. Weichelt, K.-H. Marek, R. Griesbach
  • RURAL LAND USE MONITORING INFORMATION MODELING Zhu Zesheng, Sun Ling, Guan Hengshen
  • Working Group 3 APPLICATION OF HIGH RESOLUTION SATELLITE IMAGERY
  • ENVIRONMENTAL MONITORING IN THE HIGH ARCTIC USING DIFFERENT TYPES OF HIGH-RESOLUTION SATELLITE IMAGERY Gerhard Brandstätter [...] Aleksey Sharov [...]
  • HIGH-RESOLUTION SPACE IMAGERY FOR REGIONAL ENVIRONMENTAL MONITORING - STATUS QUO AND FUTURE TRENDS Elmar Csaplovics, [...]
  • A STUDY OF METROPOLITAN AREAS IN BRAZIL: A MODELLING USING GIS AND REMOTE SENSING TECHNOLOGIES Sandra Maria Fonseca da Costa, Jorge Pimentel Cintra
  • FOREST MAPPING BY MEANS OF DIGITAL LANDSAT-TM DATA Ali A. Darvishsefat
  • Study of Sealed Surfaces and Diurnal Temperature Variations in Urban Environments with Airborne Scanner Data Ramon Franck, Boris Prinz, Rafael Wiemker, Hartwig Spitzer
  • THE METHOD OF GARBAGE REPOSITORY DETECTION AND CONTROL Ivana Javorovic, Toni Kovac, Boris Smiljanic
  • INTEGRATING LANDSAT TM IMAGERIES AND AERIAL PHOTOGRAPHS FOR URBAN BIOTOPES MAPPING Vladimir Kusan & Renata Pernar [...] Ivan Landek [...]
  • FEATURES AND THEMES OVERVIEW OF FEATURE EXTRACTION AND SPECTRAL CLASSIFICATION AND THE IMPACT OF HIGH SPATIAL RESOLUTION SATELLITE IMAGE DATA Lihua Li & Bruce C. Forster
  • THE POTENTIAL USE OF NEW HIGH RESOLUTION SATELLITE DATA FOR URBAN AND REGIONAL PLANNING Gotthard Meinel, Regin Lippold, Maik Netzband
  • A PERSPECTIVE PLAN FOR Ahmedabad Urban Development Authority Area - 2011 Remote Sensing and GIS Based Approach S. K. Pathan, R. J. Bhanderi, A. S. Arya and R. R. Navalgund [...] and N. M. Bhavsar, Pinakin P Desai, K. J. Gajjar, Bipin S Aggarwal and M. M. Bhowmik
  • MONITORING OF ENVIRONMENTAL PARAMETERS IN ALPINE REGIONS BY MEANS OF SATELLITE REMOTE SENSING Mathias Schardt, Heinz Gallaun, Ursula Schmitt, Klaus Granica [...] Thomas Häusler
  • Multi-spectral and Multi-resolution Images for Updating Topographic Data Adele Sindhuber, Josef Jansa
  • RESEARCH ON LAND USE CHANGE OF URUMQI CITY IN RECENT YEARS USING REMOTE SENSING APPROACH Tashpolat Tiyip, Yalkun Tash
  • ACCURACY ASSESSMENT OF VEGETATION MONITORING WITH HIGH SPATIAL RESOLUTION SATELLITE IMAGERY RAFAEL WIEMKER, BORIS PRINZ, GERHARD MEISTER, RAMON FRANCK, HARTWIG SPITZER
  • THE USE OF REMOTE SENSING FOR AGRICULTURAL STATISTICS. Djaffar YOUSFI
  • INVESTIGATION OF DEGRADED GRASSLAND USING REMOTE SENSING TECHNIQUES INJIANSHE TOWNSHIP AREA, GUOLUO PREFECTURE, QINGHAI PROVINCE, CHINA Genong Yu, Huamao Zhou, Liangxiu Zen, Hongju Zhan, Jun Tu, Dingchang Liu, Yafeng Zhong [...] Nicholas Hodgson [...] Dejun Shi [...]
  • Working Group 4 AUTOMATED IMAGE INTERPRETATION AND ANALYSIS
  • IMPROVEMENT OF THE HEIGHT MEASUREMENT ACCURACY FOR THE STEROSCOPIC IMAGES INCLUDING RANDOM NOISE Kazutaka Adachi, Riichi Nagura
  • REMOVING STRUCTURAL CLUTTER FROM LAND-COVER CLASSIFICATIONS OF VERY HIGH SPATIAL RESOLUTION IMAGES USING REFLEXIVE-MAPPING TECHNIQUES Stuart Barr and Mike Barnsley
  • THEMATIC CLASSIFICATION OF LANDSAT TM IMAGERY BY A NEURO FUZZY METHOD Árpád Barsi
  • Mixed pixels problems and multisource classification for snow layer detection Alessandra Colombo
  • MULTISENSOR DATA FUSION FOR AUTOMATIC SCENE INTERPRETATION Bea Csathó [...] Toni Schenk [...]
  • TOPOGRAPHIC NORMALISATION OR APPLICATION OF GEO-SPATIAL RELATIONS FOR IMPROVED LAND COVER CLASSIFICATION IN THE ALORA AREA (SPAIN)? G. F. Epema, W. G. Wielemaker
  • MONITORING HIGH MOUNTAIN SNOWCOVER USING DATA FUSION TECHNIQUES Harold HAEFNER and Jens PIESBERGEN
  • Computer-assisted recognition of Olive trees in digital imagery Simon Kay, Olivier Léo, Steve Peedell, [...] Giovanna Giardino, [...]
  • MULTISCALE IMAGES IN FORESTRY Király, Géza
  • DETECTING AND DESCRIBING LANDSCAPE STRUCTURES IN THE PALATINE NATURE PARK USING REMOTE SENSING Prof. Dr. Barbara Koch, Ulrich v. Werder
  • MULTISPECTRAL CLASSIFICATION OF LANDSAT TM IMAGES BY NEURAL NETWORKS Ivica Marcic [...] Vladimir Kusan [...]
  • ASSESMENT OF THEMATIC MAPPER IMAGERY FOR DESERTIFICATION IN THE PUNA REGION (ARGENTINA) Ing. Stella Maris Navone Ms.Sc
  • POTENCIALITIES OF USING TEXTURE MEASURES FOR MAPPING LAND USE DYNAMICS BASED ON RADAR IMAGERY Milton Cezar Ribeiro, Diogenes Salas Alves, Joào Vianei Soares, Corina C. F. Yanasse, Fernando Mitsuo li
  • Working Group 5 GLOBAL MONITORING
  • LAND COVER CHANGE DETECTION BY POST-CLASSIFYING FOR MULTI-TEMPORAL LANDSAT TM DATA CHEN Xiuwan [...] Shintaro GOTO [...] Chung-Hyun AHN [...]
  • GLOBAL 1 KM INVENTORY OF HUMAN SETTLEMENTS DERIVED FROM DMSP-OLS DATA Christopher Elvidge [...] Kimberly E. Baugh [...]
  • A MULTI-SENSOR ASSESSMENT OF URBAN HEAT-ISLANDS: A CASE STUDY Kevin P. Gallo, [...] Timothy W. Owen, [...] Kimberly E. Baugh, [...] Christopher D. Elvidge, [...]
  • Analysis of Human Impact on Global Environmental Change through LUC from the View Point of Food Productivity and CO2 Emission by Assimilating GIS and Socio-econimical Data to System Dynamics Model Shintaro Goto, Toshikazu Sakai and Makoto Nakano
  • NEARSHORE ENVIRONMENTAL MANAGEMENT USING WEB- GIS FOR THE NAKHODKA OIL-SPILL DISASTER IN 1997 Shintaro Goto, Hayato Oyama and Masaaki Shikada
  • ASSIMILATION OF AVHRR, GROUND WAVE RADAR AND RADARSAT SAR DATA INTO A COASTAL CIRCULATION AND OIL SPILL MODELLING SYSTEM Donald O. Hodgins
  • THE USE OF GAIN CONTROLLED DMSP/OLS DATA TO MAP URBAN/SUBURBAN AND INDUSTRIAL LAND CONVERSION IN THE UNITED STATES Imhoff, M. L. - [...] W. Lawrence and D. Stutzer - [...] G. Petersen, and E. Nizeyimana - [...] and C. Elvidge, [...]
  • THE USE OF REMOTE SENSING FOR THE GLOBAL MONITORING OF THE HUMAN ENTERPRISE: THE CIESIN EXPERIENCE Gary E. Johnson, Ph.D.
  • THE IDENTIFICATION OF YELLOW SAND DUST ON SATELLITE-LEVEL DATA OVER EAST ASIA USING LONG-RANGE TRANSPORT MODELS AND POLARIZATION MEASUREMENTS T. Kusaka, T. Ema and N. Murata
  • POPULATION GROWTH AND LAND COVER CHANGE IN EGYPT: EVALUATING THE UTILITY OF ARCHIVAL AND RECENT DMSP/OLS DATA SETS FOR URBANIZATION STUDIES Lawrence, William T., [...] Marc L. Imhoff, [...] David Stutzer, [...] and Norman Kerle, [...]
  • Land use change from the point of supply and demand structure for food in Asia Kanichiro Matsumura and Yasuto Nakamura
  • DMSP/OLS IMAGERY TO ESTIMATE POPULATION Mikiyasu Nakayama
  • AN ASSESSMENT OF SOIL PRODUCTIVITY LOSS DUE TO URBANIZATION IN PENNSYLVANIA, U.S. Egide Nizcyimana and G. W. Petersen [...] M. L. Imhoff, [...] W. T. Lawrence, [...]
  • A STUDY ON EVALUATION OF WORLD AGRICULTURAL PRODUCTIVITY USING SATELLITE DATA AND GIS Shiro OCHI, Ryosuke SHIBASAKI, Atsushi HIRAKOBA
  • A GIS-BASED INTEGRATED LAND USE/COVER CHANGE MODEL FOR THAILAND K S Rajan and Ryosuke Shibasaki
  • NASA'S LANDSAT PATHFINDER HUMID TROPICAL FOREST PROJECT William Salas [...] Dave Skole and Walter Chomentowski [...] John Townshend and Vivre Bell [...] Chris Justice [...] and C. J. Tucker [...]
  • Global Mapping Project - Technical Challenges and Perspectives in the Future - Tsuneo Tanaka, Kosei Otoi, Hiroshi Masaharu, Hiromichi Maruyama, Yoshikazu Fukushima
  • GLOBAL/CONTINENTAL LAND COVER MONITORING Ryutaro Tateishi, Masayuki Matsuoka, Wen Cheng-gang, and Park Jong-geol
  • USING REMOTE SENSING AND SOILS TO ESTIMATE THE IMPACT OF URBANIZATION ON SOIL RESOURCES IN CHINA E. D. Warner, G. W. Petersen and Egide Nizeyimana [...] Xuezhung Shi, [...] M. L. Imhoff, [...] W. T. Lawrence, [...]
  • Working Group 6 RADAR APPLICATIONS
  • ARTOGRAPHY AND REMOTE SENSING IN THE AMAZON THE SIVAM PROJECT ELIANE ALVES DA SILVA - [...]
  • AIRBORNE SAR ROUTE WITH MINIMUM LOSS BY THE SHADOWS IN THE MOUNTAINOUS TERRAIN M. Bajic, S. C. Bajic
  • CLASSIFICATION AND SEGMENTATION FOR RADAR IMAGERY USING GAUSSIAN MAKOV RANDOM MODEL Yunhan Dong, Bruce Forster and Anthony Milne
  • ANALYSIS OF THE BACKSCATTERING SIGNALS OF JERS-1 IMAGE FROM SAVANNA AND TROPICAL RAINFOREST BIOMASS IN BRAZILIAN AMAZONIA. Joao Roberto dos Santos, Maristela Ramalho Xaud, Maria Silvia Pardi Lacruz
  • DYNAMICS OF RADARSAT BACKSCATTERING VALUES RELATED TO PRIMARY AND SECONDARY FOREST BIOMASS STRUCTURE IN SW AMAZONIA, BRAZIL. Joao Roberto dos Santos, Hermann Johann Heinrich Kux, Maria Silvia Pardi Lacruz, Frank J. Ahern, Ron W. Pietsch
  • AUTOMATED PIPELINE EXTRACTION FROM INTERFEROMETRIC SAR DATA OF THE ERS TANDEM MISSION Olaf Hellwich, Ivan Laptev and Helmut Mayer
  • OPERATORS USED IN THE COMPUTATION OF COHERENCE MAPS FOR THEMATIC INFORMATION EXTRACTION. Gerrit Huurneman
  • ANALYSIS OF SATELLITE RADAR FOR THE DETECTION AND MAPPING OF INUNDATION PATTERNS IN WETLAND AREAS A. K. Milne
  • EXPERIMENTS WITH MULTI-FREQUENCY AND MULTI-POLARIZATION SAR DATA FOR HYDROLOGICAL PARAMETER MODELLING Tania Neusch, Manfred Sties
  • APPLICABILITY OF ERS-1 AND ERS-2 INSAR FOR LAND SUBSIDENCE MONITORING IN THE SILESIAN COAL MINING REGION, POLAND. Zbigniew Perski
  • The Use of Multitemporal Radar Data in Agriculture Monitoring: A Case Study in Köycegiz-Dalaman Ecosystem, Turkey F. Sunar, M. Taberner, D. Maktav, S. Kaya, N. Musaoglu and E. Yagız
  • LAND-USE CLASSIFICATION USING MULTITEMPORAL RADARSAT, ERS-1 AND JERS SAR-IMAGES Markus Törmä, Jarkko Koskinen
  • ERS SCATTEROMETER DERIVED SOIL MOISTURE MAPS OF THREE CLIMATIC ZONES Wolfgang Wagner [...]
  • Working Group 7 NON-RENEWABLE RESOURCES AND GEOTECHNICAL APPLICATIONS
  • REMOTE SENSING AND EARTHQUAKE ACTIVITY IN WESTERN BOHEMIA (CENTRAL EUROPE) P. Bankwitz, E. Bankwitz, [...] H. Kämpf, H.-U. Wetzel, A. Frischbutter, [...]
  • Monitoring of Landslide Using Photogrammetry and Remote Sensing Lena Halounova, Karel Pavelka
  • THE DISCOVERY OF CHUANLI RING (BRUSH) STRUCTURE AND STUDYING FOR THE INTERPRETATIVE FEATURES OF IMAGING RADAR IMAGE Shi Jizhong
  • INTEGRATION OF GIS AND REMOTE SENSING IN THE FIELD OF GEOLOGY AS AN INTERDISCIPLINARY APPROACH - THE ROLE OF GEO-SPATIAL CLEARINGHOUSE SERVICES by Péter Kardeván, [...] Károly Brezsnyánszky, [...] and László Róth, [...]
  • REMOTE SENSING AND GEOLOGY OF HOGGAR: CONTRIBUTION OF LANDSAT T.M. IMAGES TO THE GEOLOGICAL CARTOGRAPHY AT THE 1/500.000 SCALE AND THE SPECTRAL CHARACTERISATION OF THE ALTERATION PROFILE WITH URANIUM MINERALISATION Ahmed Zine Eddine SAAD
  • An Application of GIS Information and Remotely Sensed Data for Valley Areas Masaaki SHIKADA, Junko YAMASHITA, Shintaro GOTO, Masaru SYOUDA and Tokio IWATA
  • INTERPRETATION OF SATELLITE DATA RELATED TO NEOTECTONIC ACTIVITIES CONNECTED WITH EARTHQUAKES IN WESTERN MONGOLIA Dr. TSEHAIE WOLDAI [...] Mr. A. BAYASGALAN [...]
  • SPECIAL SESSION
  • CARTOGRAPHIC RELIEF REPRESENTATIONS WITH DEM FILTERING TECHNIQUES Manfred F. Buchroithner [...] Rolf Böhm [...]
  • THE EUROPEAN CORINE LAND COVER DATABASE G. Büttner, [...] C. Steenmans, [...] M. Bossard, [...] J. Feranec, [...] J. Kolár, [...]
  • REMOTE SENSING TOOLS FOR FOREST FIRE PREVENTION AND ASSESSMENT Emilio Chuvieco, Javier Salas and David Riano
  • EARSeL-Special Interest Group Atmosphere: Application of Satellite Data in Meteorology and Climate Research Eberhard Parlow
  • A EUROPEAN PROPOSAL FOR TERMS OF REFERENCE IN DATA FUSION L. Wald
  • INTERACTIVE POSTER SESSION
  • CLASSIFICATION EFFICIENCY OF HIGH SPATIAL RESOLUTION SATELLITE IMAGERY IN THE STUDIES OF VEGETATION, FORESTRY AND HUMAN SETTLEMENTS M. Bajic, [...]
  • SNOW HYDROLOGY USING MULTI-CHANNEL, MULTI POLARIZED, MULTI-TEMPORAL SYNTHETIC APERTURE RADAR Bajzák, Dénes. [...] Roberts, Bruce A. [...] Deering, Keith W., [...]
  • MEDICO-ECOLOGICAL ASPECTS OF DESERTIFICATION IN KALMYKIA Bananova V., Sangadguieva L., Nidjuli V., Borlikov G., Lasareva V., [...]
  • INVENTORY AND THE FLORA CARTOGRAPHY METHODOLOGY USING THE COMBINATION OF REMOTE SENSING AND GIS. CASE OF THE AIN RICH REGION (ALGERIA). F. BENHAMOUDA, M. CHOUIEB, M. CHIKH & A. LATTOUI
  • Forest change detection in a montaineous terrain using multitemporal Landsat TM images introducing a relative atmospheric correction. A case study: Forest of M'sila (Oran-Algeria-). Khatir Benhanifia & Mustapha Bouziane
  • TREATMENT AND INTEGRATION OF THE SATELLITE AND MULTISOURCE DATA INTO A DATA BASE CHARACTERISING THE NATURAL ENVIRONMENT. A CASE STUDY: THE ALGERIAN STEPPIC ZONE a. Bensaid , z. Smahi & m. bouziane
  • LAND COVER CHANGE DETECTION USING THE CORINE METHODOLOGY G. Büttner, G. Maucha and M. Biró
  • EVALUATION OF THE DYNAMIC OF URBAN MORPHOLOGICAL ZONES USING REMOTELY SENSED DATA M. Caetano and A. Navarro
  • Optical-Radar Data Fusion for Land Use Classification Michele Crosetto, Marek Mróz
  • THE ESTIMATION OF ECOLOGICAL CONDITION OF NATURAL WATER SYSTEMS WITH USE OF SYSTEM APPROACH A. D. Fedorovsky, K. Yu. Suhanov and V. G. Yakimchuk, [...]
  • LOCAL ENVIRONMENTAL MONITORING USING A LANDSCAPE MODELLING APPROACH Robert P. Gauthier
  • DROUGHT MONITORING IN SPAIN USING NOAA-AVHRR MULTITEMPORAL IMAGES F. González Alonso, A. Calle, J. L. Casanova, J. M. Cuevas, A. Vázquez
  • AN ANALYSIS ON TOPOGRAPHICAL FACTORS AND DETERIORATION OF BEECH TREES AT MT. HINOKIBORAMARU, TANZAWA, USING GIS Yujiro HIRANO and Ryosuke SHIBASAKI
  • DETECTION OF FOREST DECLINE IN RUSSIAN FAR EASTERN Norihisa Kamibayashi
  • MEANING OF GEOGRHAFIC INFORMATION SYSTEMS UNDER ENVIRONMENTAL MONITORING OF REGIONS WITH COMPLIETED ECOLOGICAL SITUATION Dr. Alexander A. Kirsanov, [...]
  • MONITORING OF CHERNOBYL DISASTER AREA USING MULTITEMPORAL SATELLITE DATA Lyalko V. I. Sakhatsky A. I., Hodorovsky A. J., Shportjuk Z. M., Sibirtseva O. N. [...] Marek K.-H., Oppitz S. [...]
  • VIRGOS SYSTEM - APPLICATION FOR DEVELOPMENT OF URBAN AREAS STUDY Eng. Calin-Daniel NITU [...] Prof. dr. eng. Florea ZAVOIANU [...]
  • ECO BP'98 INTERNATIONAL SYMPOSIUM ON RESOURCE AND ENVIRONMENTAL MONITORING LOCAL, REGIONAL, GLOBAL. BUDAPEST, 1-4 SEPTEMBER 1998 AERO-SATELLITE REMOTE-SENSING FOR RESOURCE AND ENVIRONMENTAL MONITORING IN DANUBE DELTA AND COASTAL ZONE OF BLACK SEA IN ORDER TO INCLUDING US IN INTERNATIONAL PROGRAMS FOR DANUBE BASIN AND BLACK SEA. Nicolaie OPRESCU, Manuel VAIS, Joan SOMARDOLEA
  • DETERMINATION OF CLOUD TOP HEIGHT USING METEOROLOGICAL SATELLITE AND RADAR DATA R. Randriamampianina, J. Nagy, Gy. Gyarmati and J. Kerényi
  • INTEGRATION OF THE SOCIO-ECONOMIQUES AND PHYSICALS DATA ON GIS FOR PASTORAL ACTIVITIES MANAGEMENT ON A SEMI ARID AREA, z. smahi & a. bensaid
  • DETERMINATION OF CHANGES IN PHENOLOGICAL CYCLE OF OAK-WOOD BY MULTISPECTRAL NOAA/AVHRR IMAGES Mladen Viher, [...] M. Sc. Visnja Vucetic, [...]
  • APPLICATIONS OF REMOTE SENSING AND GIS FOR WATER RESOURCE DEVELOPMENT AT TANFA LAKE Mu-Lin Wu, Professor [...] Yih-Ping Chen, Associate Chief Engineer [...] Pei-Ming Liao, Division Chief [...] Wen-Cheng Tseng, Associate Engineer [...]
  • REMOTE SENSING AND DIGITAL PHOTOGRAMMETRIC DATA INTEGRATION INTO A GIS 3-D FOR MONITORING AND ANALYSIS OF AN URBAN AREA UNDER NATURAL DISASTER STRESS: Florea Zavoianu - [...]
  • RÉALISATION OF THE DESERTIFICATION SENSIVITY MAP WITH THE AIDE OFA GEOGRAPHICAL INFORMATION SYSTEM ZEGRAR. A; SMAHI. Z; BENSAID. A.
  • APPROACH TO POLICY HIERARCHIES FOR ENVIRONMENTAL DISASTERS MANAGEMENT Zhu Zesheng, Sun Ling, Guan Hengshen
  • STATUS OF FLOOD MONITORING WITH MULTISENSOR REMOTE SENSING A. Zilahy, S. Herath, K. Musiake
  • LATE PAPERS
  • METHODS TO ELIMINATE THE ATMOSPHERIC EFFECTS IN REMOTELY SENSED DATA J. Lichtenberger, Cs. Ferencz, D. Hamar, P. Bognár, E. O. Ferencz, G. Molnár, Sz. Pásztor, P. Steinbach, B. Székely, Gy. Tarcsait, G. Timár
  • YIELD FORECASTING OF MAIN CROPS USING REMOTE SENSING DATA Cs. Ferencz, D. Hamar, J. Lichtenberger, P. Bognár, I. Ferencz-Árkos, G. Molnár, Sz. Pásztor, P. Steinbach, B. Székely, Gy. Tarcsait, G. Timár
  • CHANGES OF THE FOREST IN WESTERN SUDETY MOUNTAINS IN POLAND IN 1976-1990 PERIOD DETECTED ON LANDSAT MSS AND TM IMAGES Zbigniew Bochenek, Andrzej Ciolkosz, Maria Iracka
  • APPENDIX
  • Appendix: Authors and Co-authors Index Volume XXXII, Part 7 - ISPRS Commission VII
  • Appendix: Keywords Index Volume XXXII, Part 7 - ISPRS Commission VII
  • [Colour plates]
  • Cover

Full text

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SAR data collection we could use only a limited number of 
test sites. These sites were chosen in open areas close to 
access roads. Each test site consisted of one or two 60m 
to 120m long base lines. Snow parameter data were 
obtained at 6m intervals along the base lines to coincide 
with the ground resolution element of the CCRS SAR. 
The SWE determination through RADAR should be based 
on calibrated SAR data. To facilitate absolute calibration, 
corner reflectors were manufactured to precise 
specifications and were deployed in the field before the 
SAR flights. Two sets of two reflectors (one for the X and 
one for the C band) were placed in locations corresponding 
to 30° and 60° incidence angles in the field. 
On the advice of CCRS scientists, we chose a regression 
analysis design such that the SWE of ground observations 
were correlated with single band, multi-band, and multi- 
temporal un-calibrated and calibrated SAR data. 
DATA ACQUISITION 
Airborne SAR 
The snow free data were collected on October 30, 1990 
after the freeze-up with less than 10cm snow cover. This 
flight provided X and C band data with both HH and VV 
polarizations (Figure 1). The maximum snow cover data 
were acquired on March 20, 1991. At this time, however, 
only the C band SAR was available, but with polarizations 
of HH, HV, VH, and VV). The 30° and 60° incidence angle 
coverage required the use of the SAR in ‘nadir and ‘narrow’ 
modes respectively. 
Ground Data Collection 
Since the SAR mission was carried out on the afternoon 
after a snow storm, the ground data collection could not be 
started until the next day. In total 13 different sites were 
extensively surveyed. In each site one or two parallel lines 
were laid out and at 6m intervals The snow depth, density, 
and SWE were measured or determined. In addition one 
or two snow pits were dug along each test line and the 
following data collected in the pit: number, thickness, 
temperature, snow density, crystal structure, hardness, and 
grain size of each snow layer. All works were extensively 
documented with ground and large scale aerial 
photographs and with video recording. In October 1991 the 
test sites were revisited and detailed field work was 
performed to obtain information on the surface covered 
previously by snow. 
DATA ANALYSIS 
Digital data and analogue (pictorial) outputs for each flight 
line were provided by CCRS. In addition absolute 
calibration functions were worked out by CCRS scientists 
using the RADAR returns from the deployed comer 
reflectors. 
Ground Data 
The raw field snow measurements in each station of all test 
lines were converted into SWE and plotted over a sketch of 
the underlying ground cover types. We had a very good 
distribution of SWE within and between test lines (Table 1). 
The snow depth should be over 20cm to have an effect on 
the SAR return. In our case this varied between 31 and 
138cm. The calculated SWE values had a range of 7 to 
38cm with averages of 12.9 to 26.9cm of individual test 
lines. The snow pit dat were analyzed for snow layer 
structure determination. A typical pit cross section is 
illustrated in Figure 2. All 22 pits had at least 3 distinct 
snow layers. Thirty two percent had four and only one pit 
had five layers. The mean thickness of the three main 
layers from the bottom to the surface was 22, 25, and 24cm 
respectively. In the layer closest to the ground the snow 
temperature showed the least variation with an average of 
-1.5°C. The temperature of the upper most layer was very 
close to the ambient temperature. The SWE variation was 
minimal in the layer closest to the substrate and highest in 
the next layer with variations further decreasing in the 
newer snow on the top of the profile. 
SAR Data 
Based on flight recordings the incidence angles for each 
test site were calculated (Table 2, Caines, 1991). An in- 
house computer program was written to read, display, and 
dump the digital data provided by CCRS. This program 
involved a pictorial display of the image from which the 
areas of the test sites could be chosen for dumping of the 
digital data. Another program was prepared to carry out the 
conversion of digital numbers (DN) to ‘power’ and average 
RADAR cross section (0,) for a selected sub sample. A 
third program provided the averaging of 9 neighboring pixel 
values (3 by 3 kernel). 
SAR Data Correlation with Ground Data 
The ground survey gave detailed information on snow 
distribution (depth, density, SWE) and on the underlying 
ground cover (soil, rock, ice, vegetation type). The SAR 
data should be correlated with all of the snow parameters, 
the underlying surface conditions and with the incidence 
angle and polarization of the RADAR. 
The C-band SAR return from snow covered areas is made 
up of volume scatter from the snow and of return from the 
snow-soil interface, with the incidence angle being the most 
important factor affecting the strength of the signal. Since 
the test sites in this study were selected after the ground 
was covered with snow, in most cases we did not have 
uniform underlying soil surfaces. In order to obtain all of the 
required SAR data (two different modes and polarizations), 
the aircraft needed four passes each during the fall and 
winter data acquisitions. Table 2 shows that the incidence 
angles for a particular test site varied significantly. Another 
problem encountered was finding the exact location of the 
test lines on the various SAR imagery. 
Results of simple regression analysis between raw and 
filtered SAR digital data and ground SWE values indicate 
that the C-band SAR alone cannot reliably predict the SWE 
value of snow pack (low correlation coefficient). Although 
the regression line has a positive slope, the individual 
observations are widely scattered around it. This scatter is 
due not only to the variation of the snow properties and of 
the ground surface coverage under the snow, but also to 
the inherent 'speckle' of the SAR even over uniform 
surfaces. To obtain more precise results, the averaging of 
more pixels is required. However, this would require a 
more detailed observation of SWE on the ground as it also 
Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 663 
  
 
	        

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