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Resource and environmental monitoring

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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:: Working Group 4 AUTOMATED IMAGE INTERPRETATION AND ANALYSIS

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: THEMATIC CLASSIFICATION OF LANDSAT TM IMAGERY BY A NEURO FUZZY METHOD Árpád Barsi

Document type:: Monograph

Structure type:: Chapter

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
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Full text

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algebraic AND. 
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values. These hedges can be interpreted linguistically as 
VERY, NOT SO etc. The simplest way of using them is 
calculating the exponents of the memberships. 
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« reaching the desired network accuracy 
+ reaching the maximal number of epochs (iterations). 
In the second case the necessary network accuracy isn’t 
fulfilled so the training must be started again. The design 
of the networks follows some rules; these are the 
conditions to get the minimal but adequate network. It's 
possible that the number of neurons in a layer must be 
increased in order to give much "flexibility" to the 
  
Rule 1 
; Rule 2 LM 
Inputs pi — Implication — Inference | —»| 
[E 
  
  
Rule n 
  
  
Output 
  
  
  
  
  
  
  
  
  
Figure 2 
Flowchart of the fuzzy decision making 
In the first steps the input values must be eventually 
fuzzified and the fuzzy rules must be evaluated. These 
rules can contain constrains and hedges. In the 
implication phase the results of rules are accumulated. 
Also the importance of rules can be taken into 
consideration. Inference means the decision so we'll have 
the class belonging. In the praxis the max function is used 
for inferencing. 
3. THEMATIC CLASSIFICATION 
3.1. Preparation of the classification 
In the thematic classification the first step is the selection 
of the training areas. The training areas deal to bring 
terrain information into the classifier so the method is 
supervised. 
Neural networks must be learned directly with pixel 
intensity — this is a difference to the traditional statistical 
methods where some (statistical) measures are derived 
from the pixels and are integrated in the classifier. The 
usual measures are the mean vectors and covariance 
matrices — using a maximum likelihood classifier — or 
just a mean vector if the minimum distance method is 
applied. 
It was yet proved that the artificial neural networks could 
learn directly from the pixels and have acceptable 
accuracy; while they get only statistics the result won't be 
night. 
With the usual masking technique the training areas can 
be marked. After the selection the training material of the 
independent networks is to be prepared: all the class-own 
pixels and a resampled set of the rest pixels are chosen. 
This step is to be done for every thematic class. 
The training of the neural networks is executed 
independently. As it's known the training of a net is 
iterative. There are two criteria to stop the iteration: 
  
  
network. 
When all independent networks are trained the previously 
described transformation is executed. At the end we'll get 
a single neural network which contains all the features of 
the original nets. 
3.2. The neuro-fuzzy method 
Combining the neural network technique with the fuzzy 
decision making we get the neuro-fuzzy classifier. Let's 
. see how! (Figure 3) 
As in chapter 2.1. is mentioned, neural networks give an 
output in the range of 0 and 1. This continuous interval 
can be interpreted as "neural probabilities". The inputs of 
the fuzzy decision making are to be fuzzy or to be 
fuzzified. Fuzzification means that we have to calculate 
class memberships. In the thematic mapping it's very 
luckily that during the classification yet the class 
belongings are computed. If the network gives an output 
of 0.9 for a pixel that can be understood as it belongs to 
the category with a membership of 90 %. That’s why 
these values are fuzzy inputs for the decision making! 
Because of having several thematic classes the 
transformed neural network produces a membership 
vector. These memberships are taken into consideration 
in fuzzy rules. These rules mirror the human knowledge 
of the nature. The rules are easily coded in table form, 
this is the knowledge table (KT). The knowledge table 
can contain any terrain information: texture, digital 
elevation data, intensity data etc. We can interpret the 
knowledge table also a projection of the input data into 
the (output) categories. Having n inputs and m classes the 
evaluation of the rules is the following: 
-— h, 
IPM, = and(o", KT,) 
i=] 2..n 
12m] ] ..m 
(8) 
where IPM is the implication matrix, o the input vector 
(same as the output of the neural network eventually 
extended with further terrain data), h the hedge vector. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 325

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