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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
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663813779
Language:
English
Additional Notes:
Kongress-Thema: Imaging a sustainable future
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Document type:
Multivolume work

Volume

Persistent identifier:
1663822514
Title:
Technical Commission VIII
Scope:
590 Seiten
Year of publication:
2014
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663822514
Illustration:
Illustrationen, Diagramme
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.
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry 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:
Volume
Collection:
Earth sciences

Chapter

Title:
[VIII/8: Land]
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
REMOTE SENSING TECHNIQUES AS A TOOL FOR ENVIRONMENTAL MONITORING Kamil Faisal, Mohamed AlAhmad, Ahmed Shaker
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]
  • [VIII/7: Forestry]
  • [VIII/8: Land]
  • CLASSIFICATION AND MODELLING OF URBAN MICRO-CLIMATES USING MULTISENSORAL AND MULTITEMPORAL REMOTE SENSING DATA B. Bechtel, T. Langkamp, J. Böhner, C. Daneke, J. Oßenbrügge, S. Schempp
  • GULLIES, GOOGLE EARTH AND THE GREAT BARRIER REEF: A REMOTE SENSING METHODOLOGY FOR MAPPING GULLIES OVER EXTENSIVE AREAS U. Gilad, R. Denham and D. Tindall
  • IMPROVEMENT OF THERMAL ESTIMATION AT LAND COVER BOUNDARY BY USING QUANTILE Tsukasa Hosomura
  • TRAJECTORY ANALYSIS OF FOREST CHANGES IN NORTHERN AREA OF CHANGBAI MOUNTAINS, CHINA FROM LANDSAT TM IMAGE F. Huang, H. J. Zhang, P. Wang
  • DEVELOPMENTS IN MONITORING RANGELANDS USING REMOTELY-SENSED CROSS-FENCE COMPARISONS Adam D. Kilpatrick, Stephen C. Warren-Smith, John L. Read, Megan M. Lewis, Bertram Ostendorf
  • OPERATIONAL OBSERVATION OF AUSTRALIAN BIOREGIONS WITH BANDS 8-19 OF MODIS B. K. McAtee, M. Gray, M. Broomhall, M. Lynch, P. Fearns
  • SPECTRAL UNMIXING OF BLENDED REFLECTANCE FOR DENSER TIME-SERIES MAPPING OF WETLANDS Ryo Michishita, Zhiben Jiang, Bing Xu
  • AUTOMATED CONSTRUCTION OF COVERAGE CATALOGUES OF ASTER SATELLITE IMAGE FOR URBAN AREAS OF THE WORLD Hiroyuki Miyazaki, Koki Iwao, Ryosuke Shibasaki
  • QUANTIFYING LAND USE/COVER CHANGE AND LANDSCAPE FRAGMENTATION IN DANANG CITY, VIETNAM: 1979-2009 N. H. K. Linh, S. Erasmi, M. Kappas
  • HIGH TEMPORAL FREQUENCY BIOPHYSICAL AND STRUCTURAL VEGETATION INFORMATION FROM MULTIPLE REMOTE SENSING SENSORS CAN SUPPORT MODELLING OF EVENT BASED HILLSLOPE EROSION IN QUEENSLAND B. Schoettker, R. Searle, M. Schmidt, S. Phinn
  • REMOTE SENSING TECHNIQUES AS A TOOL FOR ENVIRONMENTAL MONITORING Kamil Faisal, Mohamed AlAhmad, Ahmed Shaker
  • DETECTING SLUMS FROM QUICK BIRD DATA IN PUNE USING AN OBJECT ORIENTED APPROACH Sulochana Shekhar
  • GLOBAL LAND COVER CLASSIFICATION USING MODIS SURFACE REFLECTANCE PRODUCTS Haruhisa Shimoda, Kiyonari Fukue
  • SEDIMENT YIELD ESTIMATION AND PRIORITIZATION OF WATERSHED USING REMOTE SENSING AND GIS Sreenivasulu Vemu, Udaya Bhaskar Pinnamaneni
  • CLOUD DETECTION BASED ON DECISION TREE OVER TIBETAN PLATEAU WITH MODIS DATA Lina Xu, Shenghui Fang, Ruiging Niu, Jiong Li
  • [VIII/9: Oceans]
  • [VIII/10: Cryosphere]
  • Cover

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IX-B8, 2012 
ference (ARSPC), 
imb up a tree, you 
t how high was it? 
n Remote Sensing 
(ARSPC), Alice 
Grazing Pressure 
Role of Landsat 
Series Analysis. 
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v does the global 
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ation, 13-17 July, 
imulation Society 
and International 
d Computers in 
of Mediterranean- 
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California. 
ing desertification 
-Saharan Africa. 
Sensing 25(3) pp. 
1 modelling of the 
active radiation 
rest using a lidar- 
ural and Forest 
sed Universal Soil 
E2). Washington, 
Service. 
1996. Effects of 
interpretation of 
5. Remote Sensing 
for water erosion 
1) pp. 2-18. 
Predicting rainfall 
rvation planning, 
ce and Education 
REMOTE SENSING TECHNIQUES AS A TOOL FOR ENVIRONMENTAL 
MONITORING 
Kamil Faisal ***, Mohamed AlAhmad °, Ahmed Shaker * 
“ Department of Civil Engineering, Ryerson University, 350 Victoria Street, Toronto, Ontario, M5B2K3 Canada -(ahmed.shaker, 
kamil.faisal)@ryerson.ca 
? Department of Geomatics, College of Environmental Design, King AbdulAziz University, Kingdom of Saudi Arabia 
* Environment public authority, Kuwait 
Commission VIII, WG VIII/8 
KEY WORDS: Remote Sensing, Multi Temporal Images, Landsat Images, Landfill Sites Monitoring, Land Surface Temperature, 
Landfill Gas 
ABSTRACT: 
The disposal of the solid wastes in landfill sites should be properly monitored by analyzing samples from soil, water, and landfill 
gases within the landfill site. Nevertheless, ground monitoring systems require intensive efforts and cost. Furthermore, ground 
monitoring may be difficult to be achieved in large geographic extent. Remote sensing technology has been introduced for waste 
disposal management and monitoring effects of the landfill sites on the environment. In this paper, two case stüdies are presented in 
the Trail Road landfill, Ottawa, Canada and the Al-Jleeb landfill, Al-Farwanyah, Kuwait to evaluate the use of multi-temporal 
remote sensing images to monitor the landfill sites. The work objectives are: 1) to study the usability of multi-temporal Landsat 
images for landfill site monitoring by studying the land surface temperature (LST) in the Trail Road landfill, 2) to investigate the 
relationship between the LST and the amount of the landfill gas emitted in the Trail Road landfill, and 3) to use the multi-temporal 
LST images to detect the suspicious dumping areas within the Al-Jleeb landfill site. Free archive of multi-temporal Landsat images 
are obtained from the USGS EarthExplorer. The Landsat images are then atmospherically corrected and the LST images are derived 
from the thermal band of the corrected Landsat images. In the Trail Road landfill, the results reveal that the LST of the landfill site is 
always higher than the air temperature by 10°C in average as well as the surroundings. A correlation is also observed between the 
recorded emitted methane (CHy) from the ground monitoring stations and the LST derived from the Landsat images. Based on the 
findings in the Al-Jleeb landfill, five locations are identified as suspicious dumping areas by overlaying the highest LST contours 
generated from the multi-temporal LST images. The study demonstrates that the use of multi-temporal remote sensing images can 
provide supplementary information for landfill site monitoring. 
1. INTRODUCTION 
Municipal solid waste management is a critical issue for urban 
management and city planning (Schubeler, 1996). The main 
purpose of waste management is to provide sufficient protection 
to the environment and the general public from the risky effects 
of waste (Yahaya et al, 2011). There are number of optical 
remote sensing sensors that are commonly used for Earth 
observation and environmental monitoring. Optical remote 
sensing sensors acquire images of the Earth surface by 
recording the solar radiation reflected from targets on the 
ground. Applications of remote sensing in environmental 
monitoring of the landfill sites aim to map its spatial extent, 
surrounding vegetation cover, and chemical composition of the 
Surface (Slonecker et al, 2010). These data can provide 
valuable information for environmental impact assessment 
within landfills and the surrounding areas. There are number of 
researches using satellite remote sensing images for landfill site 
monitoring. 
Nas et al. (2010) demonstrated a case study in the City of 
Konya, Turkey, for appropriate site selection for the landfill, 
using the GIS and multi-criteria evaluation (MCE). The ArcGIS 
ArcMap 9.0 and its extensions can be customized to build 
MCE. Eight GIS layers were acquired for this site selection, 
including the urban areas, land use/land cover, land slope, 
archaeological sites, transportation routes, local wells, and 
irrigational canals. Each layer was ranked with different weights 
where 0 indicated an unsuitable area and 10 indicated the most 
suitable area. The final map shows all the suitable locations for 
the landfill site for the different categories. The categories were 
classified as: 6.8% were the most appropriate, 15.796 were 
appropriate, 10.4% were moderately appropriate, 25.8% were 
poorly appropriate, and 41.3% were inappropriate. At the end of 
the analyses, three locations were identified as the most 
appropriate landfill site locations for the City of Konya. 
Ottavianelli et al. (2007) introduced the Synthetic Aperture 
Radar (SAR) interferometric products and hypersepctral data to 
monitor the Brogborough landfill located midway between 
Milton Keynes and Bedford in the U.K. The study used the 
ground-based SAR (GB-SAR) system to measure the 
microwave signals for the landfill site. The measurements of 
capped area and the open cells were conducted in the landfill 
site for a comparative analysis of angular measurements of 
polarizations. Moreover, coherence (or decorrelation) and SAR 
backscatter signal method were used to identify the dumping 
areas. The study demonstrated that the decorrelation method is 
of particular use to detect the properties and characteristics of 
the surface of the landfill, i.e., surface roughness, soil moisture 
affected by topography, speckle, and wave polarization. The 
  
	        

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