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Remote sensing for resources development and environmental management (Volume 1)

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Bibliographic data

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

Multivolume work

Persistent identifier:
856342815
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856342815
Language:
English
Additional Notes:
Volume 1-3 erschienen von 1986-1988
Editor:
Damen, M. C. J.
Document type:
Multivolume work

Volume

Persistent identifier:
856343064
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Scope:
XV, 547 Seiten
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856343064
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(26,7,1)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Damen, M. C. J.
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Developing tools for digital radar image data evaluation. G. Domik & F. Leberl, J. Raggam
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • Remote sensing for resources development and environmental management
  • Remote sensing for resources development and environmental management (Volume 1)
  • Cover
  • Title page
  • Title page
  • Title page
  • Preface
  • Organization of the Symposium
  • Working Groups
  • Table of contents
  • 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
  • 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
  • 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
  • Relationship between soil and leaf metal content and Landsat MSS and TM acquired canopy reflectance data. C. Banninger
  • The conception of a project investigating the spectral reflectivity of plant targets using high spectral resolution and manifold repetitions. F. Boochs
  • CAESAR: CCD Airborne Experimental Scanner for Applications in Remote Sensing. N. J. J. Bunnik & H. Pouwels, C. Smorenburg & A. L. G. van Valkenburg
  • LANDSAT TM band combinations for crop discrimination. Sherry Chou Chen, Getulio Teixeira Batista & Antonio Tebaldi Tardin
  • The derivation of a simplified reflectance model for the estimation of LAI. J. G. P. W. Clevers
  • The application of a vegetation index in correcting the infrared reflectance for soil background. J. G. P. W. Clevers
  • The use of multispectral photography in agricultural research. J. G. P. W. Clevers
  • TURTLE and HARE, two detailed crop reflection models. J. A. den Dulk
  • Sugar beet biomass estimation using spectral data derived from colour infrared slides. Robert R. De Wulf & Roland E. Goossens
  • Multitemporal analysis of Thematic Mapper data for soil survey in Southern Tunisia. G. F. Epema
  • Insertion of hydrological decorralated data from photographic sensors of the Shuttle in a digital cartography of geophysical explorations (Spacelab 1-Metric Camera and Large Format Camera). G. Galibert
  • Spectral signature of rice fields using Landsat-5 TM in the Mediterranean coast of Spain. S. Gandia, V. Caselles, A. Gilabert & J. Meliá
  • The canopy hot-spot as crop identifier. S. A. W. Gerstl, C. Simmer & B. J. Powers
  • An evaluation of different green vegetation indices for wheat yield forecasting. A. Giovacchini
  • Spectral and botanical classification of grasslands: Auxois example. C. M. Girard
  • The use of Thematic Mapper imagery for geomorphological mapping in arid and semi-arid environments. A. R. Jones
  • Determination of spectral signatures of different forest damages from varying altitudes of multispectral scanner data. A. Kadro
  • A preliminary assessment of an airborne thermal video frame scanning system for environmental engineering surveys. T. J. M. Kennie & C. D. Dale, G. C. Stove
  • Study on the spectral radiometric characteristics and the spectrum yield model of spring wheat in the field of BeiAn city, HeilonJiang province, China (primary report). Ma-Yanyou, You-Bochung, Guo-Ruikuan, Lin-Weigang & Mo-Hong
  • Multitemporal analysis of LANDSAT Multispectral Scanner (MSS) and Thematic Mapper (TM) data to map crops in the Po valley (Italy) and in Mendoza (Argentina). M. Menenti & S. Azzali, D. A. Collado & S. Leguizamon
  • Selection of bands for a newly developed Multispectral Airborne Reference-aided Calibrated Scanner (MARCS). M. A. Mulders, A. N. de Jong, K. Schurer, D. de Hoop
  • Mapping of available solar radiation at ground. Ehrhard Raschke & Martin Rieland
  • Spectral signatures of soils and terrain conditions using lasers and spectrometers. H. Schreier
  • Relation between spectral reflectance and vegetation index. S. M. Singh
  • On the estimation of the condition of agricultural objects from spectral signatures in the VIS, NIR, MIR and TIR wavebands. R. Söllner, K.-H. Marek & H. Weichelt, H. Barsch
  • LANDSAT temporal-spectral profiles of crops on the South African Highveld. B. Turner
  • Theoretic reflection modelling of soil surface properties. B. P. J. van den Bergh & B. A. M. Bouman
  • Monitoring of renewable resources in equatorial countries. R. van Konijnenburg, Mahsum Irsyam
  • Assessment of soil properties from spectral data. G. Venkatachalam & V. K. R. Jeyasingh
  • Spectral components analysis: Rationale and results. C. L. Wiegand & A. J. Richardson
  • 4 Renewable resources in rural areas: Vegetation, forestry, agriculture, soil survey, land and water use. Chairman: J. Besenicar, Liaisons: M. Molenaar, Th. A. de Boer
  • Cover

Full text

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
3 automatic 
Land cover. Proc. 
sensing applied 
SC. 1984; ESA 
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cultural crops 
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Developing tools for digital radar image data evaluation 
G.Domik & F.Leberl 
VEX CEL Corporation, Boulder, Colo., USA 
J.Raggam 
Research Center Graz, Austria 
Abstract: The refinement of radar image analysis methods has led to a need for a systems 
approach to radar image processing software. Developments stimulated through satellite radar 
are combined with; standard image processing techniques to create a user environment to 
manipulate and analyze airborne and satellite radar images. One aim is to create radar products 
for the user from the original data to enhance the ease of understanding the contents. The 
results are called secondary image products and derive from the original digital images. Another 
aim is to support interactive SAR image analysis. Software methods permit use of a digital 
height model to create ortho images, synthetic images, stereo-ortho images, radar maps or color 
combinations of different component products. Efforts are ongoing to integrate individual tools 
into a combined hardware/software environment for interactive radar image analysis. 
1. INTRODUCTION 
Post processing of digital synthetic aperture radar (SAR) images is 
usually meaningful. One reason is the unreliable geometry due to the 
kinematic nature of the imaging process and the effect of topography. 
Thus the radar image has to be rectified. Another reason is the 
complex interaction of terrain and microwaves as expressed in the gray 
tones of the individual SAR image pixels. What data and tools would 
be necessary to exploit the full content of digital radar images? 
One may think of adding information not contained in the image itself, 
e.g. map data, terrain slope or heights, to enhance the interpretability 
of the image for different applications. Height data might be used to 
give a general idea about the topography in form of a perspective view, 
an illuminated height model, or even better through a radar image 
simulation. Such presentations of a digital elevation model (DEM) 
can be combined with the radar image grey values or stand alone. 
After rectification other methods can be used to merge information 
with the image. 
Essential tools found necessary for processing of single and 
overlapping SAR images are set up of single images or stereo models, 
integration of topographic and thematic maps, simulation and 
rectification of radar images, general purpose image processing as well 
as archiving and retrieval routines, such as specific tape read 
programs and image organization. The following will discuss some 
essential SAR post-processing tools and their application. 
2. WHICH TOOLS ARE NEEDED? 
Software can be divided into radar-specific and non-radar software. 
There is of course 
(a) General image processing. 
(j) Radar image rectification; 
(k) Slope-effect reduction; 
(l) Mosaicking; 
(m) Height extraction from stereo images; 
(n) Feature extraction from single and stereo images. 
The future should be open to the development of specific multi-sensor 
and time-series/monitoring concepts. 
2.1 General Image Processing 
Obviously a full range of general purpose functions needs to include 
display and save functions; grey value enhancement; color coding in 
red, green and blue (RGB) or intensity, hue and saturation (IHS); 
rotation and mirroring; pixel edit functions; general purpose filters 
and edge operators; statistical processing; a graphics subset. 
2.2 Archiving/Retrieval 
One needs tape read, write and test programs; must be able to 
produce hardcopies on film or on a printer (symbol overstriking, 
matrix printing); to manage logfiles; to generally organize, name, 
store, recall, window images. 
2.3 DEM Manipulations 
It is useful to digitize points and linear features; have vector to raster 
conversion; be able to create axonometric and contour line plots, 
coordinate transformations; statistics; to illuminate the DEM; have 
functions to edit, rotate and mirror DEMs. 
The non-radar software includes mainly the handling of input and 
output data and is not specific to SAR-application. It may, however, 
not be available in general purpose image processing systems such as: 
(b) Archiving/Retrieval; 
(c) DEM manipulations. 
The radar software should include several specific capabilities such as 
(d) Ground control management; 
(e) Single image setup; 
(f) Stereo-viewing of SAR soft copies; 
(g) Stereo model setup; 
(h) Radar image simulation; 
(i) Stereo ortho image production; 
2.4 Ground Control Management 
This is not specifically radar relevant. It permits one to enter map 
points into the computer, either from a keyboard or by manual 
digitizing. In addition one needs to name, edit, organize, store and 
retrieve the ground control data such as points (GCP). 
2.5 Single Image Setup 
This represents functions to input available parameters of the sensor 
platform, and of the sensor itself. Examples include: flight 
recordings and processing parameters, GCPs have to be accepted and 
used for further calculations, e.g. a resection in space. One can 
relate a map to an image supporting this by automated map-to-image 
correspondence techniques. 
2.6 Stereo-Viewing of SAR Soft Copy Images 
A digital stereo viewer commonly consists of a display or pair of 
displays presenting 2 image segments, and a pair of movable cursors. 
This needs to be complemented by software to maintain a parallax-free 
stereo impression.
	        

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