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Technical Commission VIII (B8)

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Bibliographic data

fullscreen: Technical Commission VIII (B8)

Multivolume work

Persistent identifier:
1663813779
Title:
XXII ISPRS Congress 2012
Sub title:
Melbourne, Australia, 25 August-1 September 2012
Type of content:
Konferenzschrift
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663813779
Reihe:
ISPRS archives
Language:
English
Additional Notes:
Kongress-Thema: Imaging a sustainable future
Editor:
International Society for Photogrammetry and Remote Sensing
Author:
International Society for Photogrammetry and Remote Sensing, 22.; 2012; Melbourne
Document type:
Multivolume work

Volume

Persistent identifier:
1663822514
Title:
Technical Commission VIII
Scope:
590 Seiten
Type of content:
Konferenzschrift
DOI:
10.14463/KXP:1663822514
Year of publication:
2014
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663822514
Illustration:
Illustrationen, Diagramme
Reihe:
ISPRS archives (volume 39, B8 (2012))
Signature of the source:
ZS 312(39,B8)
Language:
English
Additional Notes:
Erscheinungsdatum des Originals ist ermittelt.
Literaturangaben
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Shortis, M.
Shimoda, H.
Cho, K.
Editor:
International Society for Photogrammetry and Remote Sensing
Author:
International Society for Photogrammetry and Remote Sensing, 22.; 2012; Melbourne
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:
Volume
Collection:
Earth sciences

Chapter

Title:
[VIII/6: Agriculture, Ecosystems and Bio-Diversity]
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
MONITORING OF AGRICULTURAL LANDSCAPE IN NORWAY H. G. Wallin, G. Engan
Write comment:
Textverlust im Original.
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • XXII ISPRS Congress 2012
  • Technical Commission VIII (B8)
  • Cover
  • Title page
  • [Inhaltsverzeichnis]
  • [VIII/1:]
  • [VIII/2: Health]
  • [VIII/3: Atmosphere, Climate and Weather]
  • [VIII/4: Water]
  • [VIII/5: Energy and Solid Earth]
  • [VIII/6: Agriculture, Ecosystems and Bio-Diversity]
  • SATELLITE-BASED MEASUREMENTS FOR BENCHMARKING REGIONAL IRRIGATION PERFORMANCE IN GOULBURN-MURRAY CATCHMENT M. Abuzar, A. McAllister, D. Whitfield, K. Sheffield
  • REGIONALIZATION OF AGRICULTURAL MANAGEMENT BY USING THE MULTI-DATA APPROACH (MDA) G. Bareth and G. Waldhoff
  • PARTICIPATORY GIS FOR SOIL CONSERVATION IN PHEWA WATERSHED OF NEPAL Krishna Prasad Bhandari
  • ESTIMATING BIOCHEMICAL PARAMETERS OF TEA (CAMELLIA SINENSIS (L.)) USING HYPERSPECTRAL TECHNIQUES Meng Bian, Andrew K. Skidmore, Martin Schlerf, Yanfang Liu, Tiejun Wang
  • LOW-COST, ULTRA-HIGH SPATIAL AND TEMPORAL RESOLUTION MAPPING OF INTERTIDAL ROCK PLATFORMS Mitch Bryson, Matthew Johnson-Roberson and Richard Murphy
  • ASSESSMENT OF INDIAN CARBON CYCLE COMPONENTS USING EARTH OBSERVATION SYSTEMS AND GROUND INVENTORY V. K. Dadhwal
  • MAPPING THERMAL HABITAT OF ECTOTHERMS BASED ON BEHAVIORAL THERMOREGULATION IN A CONTROLLED THERMAL ENVIRONMENT Teng Fei, Andrew Skidmore, Yaolin Liu
  • THE ROLE OF REMOTE SENSING FOR SUSTAINABLE ELEPHANT MANAGEMENT IN SOUTH AFRICA. FOUR MEDIUM SIZED GAME RESERVES AS CASE STUDIES. M. Jordaan
  • GLOBAL MONITORING FOR FOOD SECURITY AND SUSTAINABLE LAND MANAGEMENT - RECENT ADVANCES OF REMOTE SENSING APPLICATIONS TO AFRICAN AND SIBERIAN SHOW CASES Klaus U. Komp, Carsten Haub
  • MONITORING SPATIAL PATTERNS OF VEGETATION PHENOLOGY IN AN AUSTRALIAN TROPICAL TRANSECT USING MODIS EVI Xuanlong Ma, Alfredo Huete, Qiang Yu, Kevin Davies, and Natalia Restrepo Coupe
  • DO ADDITIONAL BANDS (COASTAL, NIR-2, RED-EDGE AND YELLOW) IN WORLDVIEW-2 MULTISPECTRAL IMAGERY IMPROVE DISCRIMINATION OF AN INVASIVE TUSSOCK, BUFFEL GRASS (CENCHRUS CILIARIS)? Victoria Marshall, Megan Lewis, Bertram Ostendorf
  • ESTABLISHING CROP PRODUCTIVITY USING RADARSAT-2 H. McNairn, J. Shang, X. Jiao, B. Deschamps
  • TEMPORAL INDICES DATA FOR SPECIFIC CROP DISCRIMINATION USING FUZZY BASED NOISE CLASSIFIER Vijaya Musande, Anil Kumar, Karbhari Kale and P. S. Roy
  • EVALUATION OF WHEAT GROWTH MONITORING METHODS BASED ON HYPERSPECTRAL DATA OF LATER GRAIN FILLING AND HEADING STAGES IN WESTERN AUSTRALIA T. Nakanishi, Y. Imai, T. Morita, Y. Akamatsu, S. Odagawa, T. Takeda and O. Kashimura
  • PLANT SPECIES MONITORING IN THE CANARY ISLANDS USING WORLDVIEW-2 IMAGERY L. Nunez-Casillas, F. Micand, B. Somers, P. Brito, M. Arbelo
  • IMPACT OF THE ATATÜRK DAM LAKE ON AGRO-METEOROLOGICAL ASPECTS OF THE SOUTHEASTERN ANATOLIA REGION USING REMOTE SENSING AND GIS ANALYSIS O. Ozcan, B. Bookhagen, N. Musaoglu
  • SUBDIVISION OF PANTANAL QUATERNARY WETLANDS: MODIS NDVI TIME-SERIES IN THE INDIRECT DETECTION OF SEDIMENTS GRANULOMETRY N. C. Penatti & T. I. R. de Almeida
  • NDVI FROM ACTIVE OPTICAL SENSORS AS A MEASURE OF CANOPY COVER AND BIOMASS E. M. Perry, G. J. Fitzgerald, N. Poole, S. Craig, A. Whitlock
  • ESTIMATION OF VEGETATION HEIGHT THROUGH SATELLITE IMAGE TEXTURE ANALYSIS Z. I. Petrou, C. Tarantino, M. Adamo, P. Blonda, M. Petrou
  • IMPACT ASSESSMENT OF WATERSHED IN DESERT REGION V Madhava Rao, R R Hermon, P Kesava Rao, T Phanindra Kumar
  • SPECTRAL CHARACTERISTICS OF SELECTED HERMATYPIC CORALS FROM GULF OF KACHCHH, INDIA Nandini Ray Chaudhury
  • MODIS TIME SERIES FOR LAND USE CHANGE DETECTION IN FIELDS OF THE AMAZON SOY MORATORIUM J. Risso, B. F. T. Rudorff, M. Adami, A. P. D. Aguiar, R. M. Freitas
  • ANALYSING AND QUANTIFYING VEGETATION RESPONSES TO RAINFALL WITH HIGH RESOLUTION SPATIO-TEMPORAL TIME SERIES DATA FOR DIFFERENT ECOSYSTEMS AND ECOTONES IN QUEENSLAND M. Schmidt, T. Udelhoven
  • RIPARIAN VEGETATION STATUS AND RATES OF WATER USE FROM SATELLITE DATA K. Sheffield, M. Abuzar, D. Whitfield, A. McAllister, M. O'Connell
  • TWO-WAY SPATIAL EXTRAPOLATION AND VALIDATION ON ECOLOGICAL PATTERNS OF ELAEOCARPUS JAPONICUS BETWEEN MAIN WATERSHEDS IN HUISUN OF CENTRAL TAIWAN S. Y. Su, N. J. Lo, W. I Chang, K. Y. Huang
  • MONITORING OF AGRICULTURAL LANDSCAPE IN NORWAY H. G. Wallin, G. Engan
  • REMOTE-SENSING-BASED BIOPHYSICAL MODELS FOR ESTIMATING LAI OF IRRIGATED CROPS IN MURRY DARLING BASIN Indira Wittamperuma, Mohsin Hafeez, Mojtaba Pakparvar and John Louis
  • IMPLEMENTATION OF AN AGRICULTURAL ENVIRONMENTAL INFORMATION SYSTEM (AEIS) FOR THE SANJIANG PLAIN, NE-CHINA Q. Zhao, S. Brocks, V. Lenz-Wiedemann, Y. Miao, R. Jiang, X. Chen, F. Zhang, and G. Bareth
  • [VIII/7: Forestry]
  • [VIII/8: Land]
  • [VIII/9: Oceans]
  • [VIII/10: Cryosphere]
  • Cover

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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 34, Part XXX 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
2.2 Classification systems 
The classification system was developed based on what is 
possible to interpret from an aerial image and the needed of 
indicators describing the changes in the agricultural landscape. 
The classification for area is built up hierarchically with three 
levels for land type classes. 
  
A Agricultural land 
  
Al Fields of annual agricultural 
plants, and cultivated meadows 
A2 Horticultural land 
A3 Pasture 
A4 Pasture and hay meadows 
apparently no longer in use 
  
  
  
  
B Natural bare 
  
  
  
  
  
  
  
  
  
ground 
B1 Bare rocks, boulders and scree 
B2 Gravel, sand, earth and peat 
T Permantent 
unforested dry-land 
vegetation 
F1 Semi-natural grassland 
F2 Heaths and ridges 
F3 Maritim vegetation 
F4 Cleared forest 
F5 Outfield pasture 
M Natural, 
unforested wetland 
vegetation 
  
M1 Mire and other freshwater 
wetlands 
2 Salt and brackish wetlands 
  
  
S Forest and three- 
covered land 
  
S1 Deciduous forest 
S2 Mixed forest 
S3 Coniferous forest 
  
  
  
U Built-up areas 
  
UI Transport 
U2 Buildings 
U3 Storage areas, dumps and 
rubbish tips 
U4 Urban greenways, sport and 
recreation areas 
U5 Other built-up areas 
  
  
  
  
  
V Water, snow and 
ice 
  
V1 Freshwater 
V2 Snow and ice 
V3 Saltwater and brackish water 
Table 1. Classification system for land type classes for the 
Norwegian land use / land cover monitoring program. 
  
  
  
  
  
  
Interpreted lines are: path, stone wall, fence, line of trees, line 
of bushes, vegetation line, ditch / canal, stream and high tens- 
ion cable. 
Interpreted points are: pile of stones, boulder, solitary tree, post 
in field, pylon, building, ruin and fish racks. 
Some of these are indicators for biodiversity and some are 
indicators for the experience of the landscape. 
For the accessibility we interpret pedestrian zone , path and 
road. The size of the square has proved to be too small to tell 
the accessibility in the agricultural landscape, but the changes 
can be measured and inaccessible areas are visible. 
2.3 Software systems 
For the interpretation Summit software with a Planar mirror 
stereo view system is used. MicroStation is used for mapping. 
The data is converted into sosi-files (the Norwegian standard 
for vector data) and these sosi-files are checked for errors. 
Further quality check, storage and analyses of the data are now 
being carried out with the open source software PostgreSQL 
and PostGIS. 
2.4 Field control 
1096 of the squares are visited in the field and are used to verify 
the interpretation. The program are now in the second inventory 
cycle. The operator's interpretation has improveddue to several 
reasons: the photos are better, the skills of the interpreter have 
improved and the operators easier understand what they see on 
the ground when they can compare two photos with different 
dates. They see and understand the development of the area 
better (Engan, 2012). 
Second First 
recording recording 
Al Annual 
A2 Horticultural land 
A3 Pasture 
A4 Pasture and hay meadows 
no in use 
B1 Bare Scree 
B2 Grave 
F1 Semi-natural 
F2 Heaths and ri 
F3 Seashore 
F4 Cleared forest 
F5 Outfield 
M1 Mire, freshwater wetlands 
S1 Decidous forest 
S2 Mixed forest 
S3 Coniferous forest 
ULT 75 
U2 Buildi 89 
U3S rubbish ti 43 
U4 Urban greenways,  sport-, 
recreation areas 79,7 
U5 Other built-up areas 
V1 Freshwater 91 
V3 Salt- and brackish water 99 99 
Table 2: Results from field control for first and second 
inventory cycle. 
  
    
All 
corre 
but s 
A3P 
oper 
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use ( 
impc 
phot 
AA I 
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from 
men 
diffe 
deve 
EF 
influ 
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land 
area 
appa 
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use. 
F5 
diffi 
oper 
herb 
shox 
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inu 
follc 
calil 
past 
use. 
stati 
dev 
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