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Systems for data processing, anaylsis and representation

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

Bibliographic data

fullscreen: Systems for data processing, anaylsis and representation

Monograph

Persistent identifier:
1067490280
Title:
Systems for data processing, anaylsis and representation
Sub title:
ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada
Scope:
1 Online-Ressource (XX, 530 Seiten)
Year of publication:
1994
Place of publication:
Ottawa
Publisher of the original:
The Surveys, Mapping and Remote Sensing, Natural Resources Canada
Identifier (digital):
1067490280
Illustration:
Illustrationen
Signature of the source:
ZS 312(30,2)
Language:
English
Additional Notes:
Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Allam, Mosaad
Plunkett, Gordon
Corporations:
Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa
International Society for Photogrammetry and Remote Sensing
International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis
Kanada, Surveys, Mapping and Remote Sensing Sector
Adapter:
Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa
International Society for Photogrammetry and Remote Sensing
International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis
Kanada, Surveys, Mapping and Remote Sensing Sector
Founder of work:
Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa
International Society for Photogrammetry and Remote Sensing
International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis
Kanada, Surveys, Mapping and Remote Sensing Sector
Other corporate:
Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa
International Society for Photogrammetry and Remote Sensing
International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis
Kanada, Surveys, Mapping and Remote Sensing Sector
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:
[Thursday, June 9, 1994]
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
[Session K-1 WG II/4 - Systems for the Processing of Radar Data - Part B]
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
Evaluation of Radar Images for Updating Geo-Forestry Information [Alain Coulombe, Mario Hinse]
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • Systems for data processing, anaylsis and representation
  • Cover
  • ColorChart
  • Title page
  • Preface
  • ISPRS TECHNICAL COMMITTEE
  • Commission II Terms of Reference and Working Groups
  • TABLE OF CONTENTS
  • TABLE DES MATIÈRES
  • [Monday, June 6, 1994]
  • [Joint ISPRS/GIS '94 Plenary I]
  • [Session A-1 WG II/4 - Systems for the Processing of Radar Data - Part A]
  • [Session B-1 WG II/3 - Technologies for Large Volumes of Spatial Data - Part A]
  • [Tuesday, June 7, 1994]
  • [Joint ISPRS/GIS '94 Plenary II]
  • [Session C-1 WG II/1 - Real-Time Mapping Technologies - Applications]
  • [Session D-1 Commission II - Special Project - Upgrading Photogrammetric Instruments]
  • [Session D-2 WG II/2 - Hardware and Software Aspects of GIS - Part A]
  • [Session E-1 Intercommission WG II/III- Digital Photogrammetric Systems - Part A]
  • [Wednesday, June 8, 1994]
  • [Joint ISPRS/ GIS '94 Plenary III]
  • [Session F-1 WG II/1 - Real-Time Mapping Technologies - Automatic Orientation of Sensors]
  • [Session F-2 WG II/3 - Technologies for Large-Volumes of Spatial Data - Part B]
  • [Session G-1 WG II/1 - Real-Time Mapping Technologies - Sensor Integration]
  • [Session G-2 WG II/5 - Integrated Production Systems]
  • [Poster Session 2-A]
  • [Thursday, June 9, 1994]
  • [Joint ISPRS/GIS '94 Plenary IV]
  • [Session I-I WG II/3 - Technologies for Large Volumes of Spatial Data - Part C]
  • [Session J-1 WG II/2 - Hardware and Software Aspects of GIS - Part B]
  • [Session J-2 Intercommission WG II/III - Digital Photogrammetric Systems - Part B]
  • [Poster Session 3-A]
  • [Session K-1 WG II/4 - Systems for the Processing of Radar Data - Part B]
  • Evaluation of spectral classifiers for separating Sea Ice from open water in preparation for Radarsat. T. Heacock, T. Hirose, M. Manore
  • Évaluation de classificateurs spectraux servant à différencier la glace de mer et l’eau libre en vue de l'exploitation de RADARSAT [T. Heacock, T. Hirose, M. Manore]
  • PROCESSING ERS-1 SAR AND JERS-1 SAR FOR MAPPING Ian Dowman and Mark Upton
  • Traitement de l'information transmise par les satellites d'observation des ressources de la Terre et le satellite japonais d'exploitation des ressources terrestres (ERS-1 SAR et JERS-1 SAR), équipés de radars de cartographie à ouverture synthétique [Ian Dowman and Mark Upton]
  • Évaluation des images RADAR pour la mise à jour de l'information géo-forestiére Alain Coulombe, Mario Hinse
  • Evaluation of Radar Images for Updating Geo-Forestry Information [Alain Coulombe, Mario Hinse]
  • INVESTIGATION OF A GIS FOREST BASE MAPPING PROCESS USING OPTICAL AND RADAR REMOTE SENSING: FIRST RESULTS Brian Davis MacMillan Bloedel Ltd. [...] Stéphane Rossignol [...] Christine Hutton [...]
  • Étude d'un processus de mise à jour de cartes forestieres SIG au moyen de données de télédétection optique et radar: Premiers résultats [Brian Davis MacMillan Bloedel Ltd. [...] Stéphane Rossignol [...] Christine Hutton [...]]
  • [Friday, June 10, 1994]
  • [Session L-1 WG II/1 - Real-Time Mapping Technologies - Algorithmic Aspects]
  • [Joint ISPRS/GIS '94 Plenary V]
  • AUTHORS and COAUTHORS INDEX
  • Cover

Full text

  
Evaluation of Radar Images for Updating 
Geo-Forestry Information 
Abstract 
As part of the: annual program of the forestry accounting 
service of the Department of Forestry of Quebec, several 
hundred thousand dollars are allocated to the acquisition of 
air photos for the management of forest inventories. With a 
view to reducing the costs of this operation, alternative 
solutions are being explored. To this end, the use of 
remotely sensed satellite images could lead to significant 
savings in data acquisition. 
Currently, optical "images (Landsat-TM or SPOT) are used 
in operations for certain aspects in the processing of geo- 
forestry information. However, optical images are subject to 
the weather conditions prevailing from year to year, such 
that the managers of the program cannot be assured of good 
images every year for all parts of Quebec. This is a major 
limitation, as the managers can hardly tolerate random 
absences of images in the process of updating forest 
inventories. 
Recent research in the field of RADAR images suggests a 
potentially advantageous application in the updating of geo- 
forestry information. RADAR is able to penetrate cloud cover 
and is unaffected by poor weather conditions. We know that 
airborne SAR images allow rapid detection of major 
disturbances (burns, clear cuts and strip cuts). However, 
there are still a number of unanswered questions about the 
potential for detecting partial disturbances in the forest 
cover (such as diameter-limit cutting and selection cutting). 
The objectives of this study are (1) to evaluate the 
potential of airborne SAR images (SAR C/X of CCRS in C-band) 
for the annual updating of geo-forestry information; (2) to 
evaluate the potential of hybridizing airborne SAR images 
with satellite optical images in the forest environment; and 
(3) to evaluate the potential of certain satellite SAR images 
of the ERS-1 and. J-ERS-1 types. The airborne SAR images and 
SPOT and Landsat-TM images used in this project are ortho- 
images resulting from rigorous geometric correction developed 
at the Canada Centre for Remote Sensing. 
A first interpretation of the images reveals that the 
Scenes taken in winter provide a clearer distinction of 
forest cut boundaries than do images taken when snow is 
absent. The snow cover smooths and masks regeneration in 
cutovers, making them easier to distinguish from nearby 
forest cover. 
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Allam, Mosaad, and Gordon Plunkett. Systems for Data Processing, Anaylsis and Representation. The Surveys, Mapping and Remote Sensing, Natural Resources Canada, 1994.
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