Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

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:: 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 [...]

Document type:: Monograph

Structure type:: Chapter

e Digital idly, the ry nature handling | process 'chniques preciation ly, spatial dating of isiderably tography. | of the ore timely icular will his is an AacMillan ed by the typical of PA ill allow w spatial y manner xcessarily will be a inted and cess. As ves, data cification ted over Charlotte The data Aperture d satellite lata), and bands of satellite. 'esolution ach HRV the 10m de (PLA) "3 um; 2) operating ution and |, 0.67110 For the present study, PLA data was acquired May 27, 1993 and MLA data on August 21, 1992. The SAR data set includes three flight lines from the CCRS airborne C/X SAR, one satellite SAR image from the European ERS-1 system, and two simulated RADARSAT Fine Resolution Mode images. Narrow mode airborne C/X SAR data were acquired on July 26, 1993, in C-band (5.66 cm wavelength) and X-band (3.24 cm wavelength), dual polarization (HH and VV), with a nominal resolution of 6 m x 6 m and incidence angles ranging from 35? in near range to 76? in far range. Two of the flight lines were planned to correspond with RADARSAT orbital characteristics and look directions. One ERS-1 SAR image was collected April 10, 1993, during the two week Roll-Tilt Mode (RTM) acquisition period. The ERS-1 SAR operates exclusively in C-band, VV polarization. The Roll-Tilt orbit phase permitted data collection with an incidence angle of 35? (mid-swath) and a nominal resolution of 30 m (The ERS-1 standard SAR mode operates at 23? incidence angle). The imaging geometry of the RTM data set is close to RADARSAT's Fine Resolution Mode (Figure 1). RADARSAT Fine Resolution Mode simulation images were produced with C/X SAR HH polarized images as input data. The airborne data were modified using the INTERA SARPAC software package (Parashar and Wessels, 1989). These data were resampled to 9 x 11 m resolution and radiometrically altered to simulate the expected radiometric characteristics of RADARSAT imagery. The base map information used is the BC Provincial TRIM data set. It consists of a digital elevation model (DEM) and digital planimetric information at 1:20,000 scale in the NAD83 coordinate system. Figure (3a) shows the ortho-corrected SPOT PLA, (3b) one flight line of the airborne C-HH C/X SAR data (registered to the SPOT PLA), 449 (3c) the TRIM DEM, (3d) and a composite image of the SPOT PLA (red), the C-HH C/X SAR (green), and the TRIM DEM (blue). 4. METHODOLOGY The project developed separately for the optical and radar segments. The refinement of methodologies for the use of SPOT data was considered as the operational demonstration segment. The testing and development of techniques for the use of satellite SAR data was designated as the applied research segment. Spatial resolution was the main criteria for data selection. The SPOT PLA band and the RADARSAT Fine Resolution Mode (simulation) were selected due to their 10 m and 11-9 x 9 m resolution respectively. Given new software developments for satellite ortho- rectification, it was felt that these sensors could reach acceptable mapping accuracies. 4.1 The SPOT Segment The technique employed with the SPOT PLA data included: A) Ortho-rectification and enhancement of the contrast between forest stands and cutblocks; B) Integration of the ortho-corrected satellite data files with the GIS environment; C) Interpretation of SPOT data for the extraction and mapping of new roads and cutblocks within the GIS environment. 4.2 The SAR Segment Two main questions were investigated: 1) Can SAR effectively distinguish between forest stands, cutblocks and roads? 2) Can SAR meet the accuracies required for mapping these features in mountainous terrain? The first question is being investigated using the airborne SAR and the simulated RADARSAT Fine Resolution data. The

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