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XIXth congress (Part B7,2)

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fullscreen: XIXth congress (Part B7,2)

Multivolume work

Persistent identifier:: 1851037519

Title:: Officieller Ausstellungs-Bericht

Type of content:: Konferenzschrift

Year of publication:: 1873

Place of publication:: Wien; Hannover

Identifier (digital):: 1851037519

Language:: German

Additional Notes:: Hefte 1-95 erschienen von 1873-1878

Publisher of the original:: Druck und Verlag der K. K. Hof- und Staatsdruckerei

Publisher of the digital copy:: Technische Informationsbibliothek (TIB)

Document type:: Multivolume work

Volume

Persistent identifier:: 1853169110

Author:: Schröer, Karl Julius

Title:: Das Bauernhaus mit seiner Einrichtung und seinem Geräthe

Sub title:: (Gruppe XX) : Bericht

Scope:: 41 Seiten

DOI:: 10.14463/KXP:1853169110

Year of publication:: 1874

Place of publication:: Wien

Identifier (digital):: 1853169110

Illustration:: Illustrationen

Signature of the source:: a 3216(11/12)

Language:: German

Publisher of the original:: Druck und Verlag der K. K. Hof- und Staatsdruckerei

Usage licence:: Public Domain Mark 1.0

Editor:: Richter, Karl Thomas

Publisher of the digital copy:: Technische Informationsbibliothek (TIB)

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2023

Document type:: Volume

Collection:: Civil engineering; Economy

Section

Title:: Das Geidler Bauernhaus.

Document type:: Multivolume work

Structure type:: Section

Contents

Table of contents

XIXth congress
XIXth congress (Part B7,2)
Cover
Title page
CONTENTS
INFORMATION, INTEGRATION, INTERNET AND INTERFACE: A SOLUTION FOR COASTAL ZONE MANAGEMENT David R. GREEN, Stephen D. KING
THE UTILIZATION OF THE GEOGRAPHIC INFORMATION SYSTEM IN THE ENVIRONMENTAL PROBLEMS EVALUATION OF ITAJUBÁ CITY. Roseana Corréa GRILO, Celina FORESTI, Maria Isabel C. de Freitas VIADANA
DISCUSSION OF RESULTS Grilo, Roseana
UTILISING SATELLITE IMAGERY AND DIGITAL DETECTION OF CLEAR CUTTINGS FOR TIMBER SUPPLY MANAGEMENT Reija HAAPANEN, Anssi PEKKARINEN
TOWARDS OPERATIONAL AIRBORNE REMOTE SENSING OF WATER QUALITY IN THE NETHERLANDS Hans Hakvoort, Johan de Haan, Rob Jordans, Robert Vos, Steef Peters and Machteld Rijkeboer
ON THE CAPABILITIES OF DIGITAL HIGH RESOLUTION MULTISPECTRAL REMOTE SENSING TECHNIQUES TO SERVE NATURE CONSERVATION REQUIREMENTS Wolfgang von Hansen & Manfred Sties
MONITORING AND IMPACT ASSESSMENT OF SHRIMP FARMING IN THE EAST COAST OF THAILAND USING REMOTE SENSING AND GIS M. K. HAZARIKA, L. SAMARAKOON, K. HONDA, J. THANWA, T. PONGTHANAPANICH, K. BOONSONG
INTEGRATION OF MULTITEMPORAL ERS.2 SAR AND LANDSAT TM DATA FOR SOIL MOISTURE ASSESSMENT Beata HEJMANOWSKA, Stanislaw MULARZ
RAMSES SYSTEM: AN OPERATIONAL THEMATIC EO-APPLICATION ON OIL SPILL MONITORING. Y. Henaff, B. Pinel, M. Mariucci, C. Caspar, L. Fusco, M. Forte
COMPARISON OF DIGITAL STAND SURFACE MODELS OF HRSC-A (HIGH RESOLUTION STEREO CAMERA - AIRBORNE) AND LASER SCANNER FOR FOREST STAND CHARACTERISTICS Sören HESE, Frank LEHMANN
FUSION OF STOCHASTIC PROPERTIES BY FUZZY INTEGRALS AND APPLICATIONS ON DETECTION WITHIN IMAGES Hartwig HETZHEIM
VEGETATION INDEX INCREASES THE QUALITY OF DATA PROCESSING RESULTS IN THE FIELD OF FOREST MONITORING AND MANAGEMENT. Truong Thi Hoa Binh
A STUDY ON IMAGE RESTORATION FOR AIRBORNE CAMERAS Kohzo HOMMA, Hiromichi YAMAMOTO and Yoshitaka IWATA
CLASSIFICATION OF SPECTROSCOPICAL IMAGERY BY COMBINING SPATIAL AND SPECTRAL INFORMATION: THE SSC METHOD Tom HORNSTRA, Hans-Gerd MAAS, Steven DE JONG
MULTI-DATA FUSION FOR SUSTAINABLE FOREST MANAGEMENT: A CASE STUDY FROM NORTHERN PART OF SELANGOR, MALAYSIA M. K. A Musa, Y. A. Hussin
DETECTING CHANGES IN THE MANGROVE FORESTS OF SOUTHERN THAILAND USING REMOTELY SENSED DATA AND GIS Somjai Sremongkontip, Yousif Ali Hussin, Liza Groenindijk
INVENTORY OF REMOTE SENSING APPLICATIONS IN FORESTRY FOR SUSTAINABLE MANAGMENT Yousif Ali Hussin and Witske Bijker
A COMPARISON BETWEEN OPTICAL AND RADAR SATELLITE IMAGES IN DETECTING BURNT TROPICAL FOREST IN SOUTH SUMATRA, INDONESIA. Heri Sunuprapto and Yousif Ali Hussin
USING HRV SPOT DATA FOR STUDY OF ENVIRONMENTS EVOLUTION IN THE SULINA SITE FROM THE DANUBE DELTA Dr.Ing. Ion IONESCU, Ing. loan NOAJE
GIS AND REMOTE SENSING TECHNIQUES APPLIED FOR LAND-USE SUITABILITY STUDY Gabriela Ippoliti, Magaly O. Mortara, Ana Carolina Rezende, Maurício S. Simóes, Mario Valerio Filho
TEMPORAL MAPPING AND SPATIAL ANALYSIS OF LAND TRANSFORMATION DUE TO URBANIZATION AND ITS IMPACT ON SURFACE WATER SYSTEM: A CASE FROM DHAKA METROPOLITAN AREA, BANGLADESH Nasreen ISLAM KHAN
CHANGE DETECTION ON NATURAL VEGETATION COVER IN THE TERITORY OF I.R. OF IRAN CAUSED BY POLLUTION RESULTED FROM THE KUWAITI OIL WELL FIRES, DURING THE PERSIAN GULF WAR Nader Jalali, B. Aminipouri, A. Fatehi,
MODELLING OF TERRESTRIAL EROSION AND CHANGE OF SOIL FEATURES UNDER SOIL EROSION ON THE HILLY RELIEF OF LITHUANIA Benediktas JANKAUSKAS
SOIL RESOURCE APPRAISAL IN LOWER VELLAR BASIN, TAMIL NADU, INDIA USING REMOTE SENSING TECHNIQUES J. SOMASUNDARAMY, S. NATARAJAN, K.K. MATHAN and V. ARUNKUMAR
4D DATA FUSION TECHNIQUE IN URBAN WATERLOG-DRAINING DECISION SUPPORT SYSTEM Jun Li, Fuling Bian, Zifeng Hu
LAND USE IN THE SURROUNDINGS OF NATURE RESERVES AND MULTI-SOURCE GEOGRAPHIC INFORMATION Minna Kallio
IMAGE CLASSIFICATION BY SPATIAL SHIFT INVARIANT NEURAL NETWORK Izumi KAMIYA
The Classification using the Merged Imagery from SPOT and LANDSAT In-Joon Kang, Hyun Choi, Yong Ku Chang, Jong-Chul Lee
THE CONTRIBUTION OF GIS AND REMOTE SENSING IN URBAN LAND USE NEGOTIATION IN DEVELOPING COUNTRIES Faith KARANJA and Peter LOHMANN
EVALUATION OF THE TOPOGRAPHIC NORMALIZA TION METHODS FOR A MEDITERRANEAN FOREST AREA Vassilia KARATHANASSI, Vassilis ANDRONIS, Demetrius ROKOS
A Feasibility Study about Extraction Method of Densely Crowded Areaswith Wooden Buildings in the KOBE Government. Part II Consideration of evaluation of urban fire hazard. Ritsu KATAYAMAM [...] Toshio KOIZUMI, Masato SHOZI [...]
DETERMINATION OF GEOMORPHOLOGICAL CHARACTERISTICS AROUND OF THE ISIKLAR MOUNTAIN BY USING REMOTE SENSED DATA AND DEM. Sinasi KAYA
STUDYING AND MONITORING THE GREENLAND ICE SHEET USING GIS TECHNIQUES Changjoo KIM, Bea CSATHO, Robert THOMAS, C. J. van der VEEN
Monitoring of oil and gas pipelines by integrated GIS Alexander KIRSANOV
SLIDING WINDOW FOR RELATIONS MAPPING Dana Klimesova
FIRST EXPERIENCE IN THE APPLICATION OF LASERSCANNER DATA FOR THE ASSESSMENT OF VERTICAL AND HORIZONTAL FOREST STRUCTURES Hans Friedlaender, Barbara Koch
STRATEGY ON THE LANDSLIDE TYPE ANALYSIS BASED ON THE EXPERT KNOWLEDGE AND THE QUANTITATIVE PREDICTION MODEL Hirohito KOJIMA, Chang-Jo F. CHUNG, Cees J. van WESTEN
EVALUATION OF MEDIUM-RESOLUTION SATELLITE IMAGES FOR LAND USE MONITORING USING SPECTRAL MIXTURE ANALYSIS Florian P. Kressler [...] C. A. Mücher, [...] Klaus T. Steinnocher [...] H. A. M. Thunnissen [...]
ESTIMATION OF THE PRODUCTIVITY PARAMETERS OF WHEAT CROPS USING HIGH RESOLUTION SATELLITE DATA Oleksiy Kryvobok
REMOTE SENSING FOR OPERATIONAL APPLICATIONS IN THE ENVIRONMENT OF THE MEGACITIES E. Kudashev, Yu. Kravtsov, V. Myasnikov, M. Raev, N. Armand, V. Savorskii, Yu. Tishenko
URBAN SUSTAINABILITY USING ORBITAL REMOTE SENSING DATA AND GEOPROCESSING TECHNIQUES Maria de Lourdes Neves de Oliveira KURKDJIAN; Mario VALERIO FILHO; Madalena Niero PEREIRA; Luiz Alberto VIEIRA DIAS
EMPIRICAL ESTIMATION OF VEGETATION PARAMETERS USING MULTISENSOR DATA FUSION Franz KURZ and Olaf HELLWICH
A GEOGRAPHICAL INFORMATION SYSTEM FOR HUMANITARIAN DEMINING Vinciane Lacroix, Michal Shimoni, Marc Acheroy and Eleonore Wolff
THE EFFECTS ON IMAGE CLASSIFICATION USING IMAGE COMPRESSION TECHNIQUE Kent Wai-Keung LAM, Wai-Leung LAU, and Zhi-Lin LI
THE INFLUENCES OF IMAGE CLASSIFICATION BY FUSION OF SPATIALLY ORIENTED IMAGES Waileung LAU, Bruce A. KING, Zhilin LI
MAPPING WITH THE USE OF RUSSIAN SPACE HIGH RESOLUTION IMAGES Viktor N. Lavrov, Dr. Sc., General Director Deputy, [...]
CHARACTERISATION OF THE DYNAMIC RESPONSE OF THE VEGETATION COVER IN SOUTH AMERICA BY WAVELET MULTIRESOLUTION ANALYSIS OF NDVI TIME SERIES Saturnino LEGUIZAMON, Massimo MENENTI, Gerbert J. ROERINK
UNMIXING OF MIXTURE PIXEL BASED ON THE CHROMATIC CHARACTERISTICS OF ENDMEMBER SPECTRA Hui LIN, Liangpei ZHANG
DISCRIMINATION ABILITY OF NEURAL NETWORK AND MAXIMUM LIKELIHOOD CLASSIFIERS Xue-Hua LIU, Andrew SKIDMORE, Henk van OOSTEN
MAPPING ATLANTA'S LAND USE/COVER CHANGE AND ITS IMPACT ON THE ENVIRONMENT USING TIME SEQUENTIAL LANDSAT IMAGES Chor-Pang LO
THE BLACK SEA VIEWED FROM SPACE Vasile LOGHIN
SATELLITE MONITORING OF FOREST OF THE CHERNOBYL DISASTER INFLUENCE AREA FOR ECOLOGICAL AND FIRE RISK ASSESSMENT V. I. Lyalko, A. Ya. Hodorovsky, A. l. Sakhatsky, A. T. Azimov, Z. M. Sportjuk, O. N. Sibirtseva
DESIGN AND IMPLEMENTATION OF A GIS-BASED REPORT MANAGEMENT TOOL FOR THE "ZONA VOLCÀNICA DE LA GARROTXA" NATURAL PARK (CATALONIA, SPAIN) Arnald Marcer, Xavier Pons and Jaume Vicens
INTEGRATED GIS DATA SET AND 3D ANALYSIS FOR ENVIRONMENTAL IMPACT ASSESSMENT IN THE CASTELFRANCO EMILIA AREA (MODENA PROVINCE, NORTHERN ITALY) Massimo BARBIERI, Jurjen BERTENS, Doriano CASTALDINI, Cecilia GIUSTI, Alberto GONZALEZ-DIEZ, Mauro MARCHETIT, Mario PANIZZA
Coastal meandering currents and estuarine fronts detected by JERS-1 SAR images. Eduardo MARONE & Mauricio A. NOERNBERG
PHOTOGRAMMETRY AND GIS TECHNOL OGIES FOR MONITORING COASTAL EROSION ALONG DAR ES SALAAM COASTLINE. By: Z. Y Masele, S. D Mayunga
PRODUCING A STATE-WIDE HIGH-RESOLUTION SATELLITE DATA MOSAIC AND USING THE DATA IN PLANNING PROCESSES Gotthard MEINEL, Regin LIPPOLD, Jörg HENNERSDORF
THE SHAPE OF THE SPECULAR PEAK OF ROUGH SURFACES Gerhard Meister, André Rothkirch, Hartwig Spitzer, Johann Bienlein
MONITORING AND ANALYSIS OF WATER POLLUTION USING TEMPORAL GIS Nirvana MERATNIA, Füsun DÜZGUN, Rolf A. DE BY
POTENTIAL OF HIGH RESOLUTION AIRBORNE VIDEOGRAPHY FOR RAPID ASSESSMENT AND MONITORING OF VEGETATION CONDITIONS IN AGRICULTURAL LANDSCAPES G METTERNICHT, F HONEY, G BEESTON and S GONZALEZ
FOREST AND WOODLAND BIOMASS AND CLASSIFICATION USING AIRBORNE AND SPACEBORNE RADAR DATA A. K. Milne, R. M. Lucas, N. Cronin, Y. Dong and C. Witte
CLIMATE CHANGE: EVALUATION OF ECOLOGICAL RESTORATION OF DELHI RIDGE USING REMOTE SENSING AND GIS TECHNOLOGIES Madan Mohan
Cover

Full text

Metternicht, Graciela

biological (e.g. plant competition, senescence) and physicochemical (herbicide, salinity, ozone) origin, Carter (1993),
found the visible (e.g.535 to 640 nm, 685 to 700 nm) rather than infrared reflectance, to be the most reliable indicator of
plant stress.
An early indication of deteriorating plant health is a decrease in the actual wavelength at which reflectance increases
between red and near infrared. This change is called the ‘red shift’ and occurs before a change in condition is visible in
the plant itself. But since the shift occurs over a very small spectral range it requires very narrow spectral channels for
detection (Harrison and Jupp, 1989). Continuing chronic damage causes deterioration of the chloroplasts (e.g.
yellowing of the foliage) perceived as a shifting of the green peak towards the red wavelength. The final generalised
change is the reddening of the dead foliage, accompanied by a continuing shift of the visual peak towards red (Murtha,
1978).
2.1.2 Interpreting variations in the vegetation condition using vegetation indices. Based on the positions of the
spectral bands relative to the spectral features mentioned above, specific band ratios and indices can be applied to assess
the conditions of vegetation in agricultural landscapes. An advantage of using ratios is the normalisation of data,
reducing the influence of illumination conditions, topography, etc. Discrimination of crop growth and plant status (e.g.
disease, crop nutrient deficiency, water stress) is generally accomplished by computing a ratio or linear combination of
visible and near-infrared reflectance such as the done in the NIR to red ratio (VI), the normalised difference vegetation
index (NDVI), the soil adjusted vegetation index (SAVI), and other indices for chlorophyll assessment such as proposed
by Gitelson and Merzlyak (1994a, 1996), Carter, (1994). Thorough reviews of vegetation indices can be found in
(Cohen, 1991; Jackson and Huete, 1991; Moran et al., 1997;).
The responses of land cover to four vegetation indices, namely plant pigment, photosynthetic vigour, plant cell density
and normalised difference vegetation index are assessed in this study. Three indices use the green region (550 nm) as a
‘reference’ band because of its lower soil-green vegetation reflectance contrast, as mentioned by Tucker (1977). The
indices are described hereafter:
a) The plant pigment ratio: PPR= (R550 — R450) / (R550 + R450) (1)
This index produces an output image where strongly pigmented foliage present a high PPR (i.e., a light tone in a grey
scale), while weakly pigmented foliage has a low PPR, thus appearing dark. The higher the pigmentation in the leaves,
the stronger the absorption in the blue band, translated as lower digital numbers in this channel. Conversely, weakly
pigmented leaves, absorbing less energy, will present higher reflectance values in this band.
b) The photosynthetic vigour ratio: PVR= (R550 — R650) / (R550 + R650) (2)
This index is high for leaves or green canopies with strong chlorophyll absorption, that is, photosynthetically very
active, with strong absorption of energy in the red band; and low for weakly active vegetation. The use of this ratio
may be compared to the observation of yellowing off of plants with nutrient deficiency or under stress due to some
plant diseases, or with onset of senescence. In a grey-scale image, this index will show light values for
photosynthetically very active vegetation, darkening as the chlorophyll content of the vegetation canopy decreases (e.g.
chemical stress, plant senescence).
c) The plant cell ratio: PCR- (R750 — R550) / (R750-R550) (3)
This ratio measures the quantity of leaves in a pixel and the density of healthy plant cells in the leaves, as the response
of vegetation in the NIR is dominated by the cells’ structure. Thus, for instance, moderately sparse distribution of very
healthy plants may show a PCR similar to a dense distribution of plants with less leaves and/or less healthy cells in the
leaves. In a grey scale image, the healthy plant tissues will reflect strongly in the NIR, exhibiting light grey values.
Deterioration of the plant cell structure will translate in darker image values.
Moreover, Gitelson and Merzlyak (1996) report this index as a good indicator of chlorophyll contents in yellowish-
green to dark-green vegetation. They found the reflectance near 700 nm and in the range from 530 to 630 nm to be
highly sensitive to chlorophyll variations. Thus, taking into account that the range of (550nm) is directly proportional
to chlorophyll, and that the NIR region virtually does not depend on chlorophyll, they developed a so called ‘green
NDVT to assess chlorophyll contents.
d) The Normalised Difference Vegetation Index: NDVI- (R750 — R650) / (R750 + R650) (4)
This index is said sensitive to vegetation parameters such as green leaf area index, and percent of the ground surface
covered by green vegetation (Jackson and Huete, 1991). The index represents the aggregation of two phenomena, the
high reflectance in the NIR due to healthy plant cells, and the low reflectance in the red region due to chlorophyll
absorption (Honey, 1997).

870 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000.

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