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

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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:
Measurements of the backscatter and attenuation properties of forest stands at X-, C- and L-band. D. H. Hoekman
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
  • Spatial feature extraction from radar imagery. G. Bellavia, J. Elgy
  • Synthetic geological map obtained by remote sensing An application to Palawan Island. F. Bénard & C. Muller
  • The determination of optimum parameters for identification of agricultural crops with airborne SLAR data. P. Binnenkade
  • SLAR as a research tool. G. P. de Loor & P. Hoogeboom
  • Developing tools for digital radar image data evaluation. G. Domik & F. Leberl, J. Raggam
  • Measurements of the backscatter and attenuation properties of forest stands at X-, C- and L-band. D. H. Hoekman
  • Identifying agricultural crops in radar images. P. Hoogeboom
  • Shuttle imaging radar response from sand dunes and subsurface rocks of Alashan Plateau in north-central China. Guo Huadong, G. G. Schaber & C. S. Breed, A. J. Lewis
  • Oil drums as resolution targets for quality control of radar survey data. B. N. Koopmans
  • Detection by side-looking radar of geological structures under thin cover sands in arid areas. B. N. Koopmans
  • Geological analysis of Seasat SAR and SIR-B data in Haiti. Ph. Rebillard, B. Mercier de l'Epinay
  • Digital elevation modeling with stereo SIR-B image data. R. Simard, F. Plourde & T. Toutin
  • EARTHSCAN - A range of remote sensing systems. D. R. Sloggett & C. McGeachy
  • Evaluation of digitally processed Landsat imagery and SIR-A imagery for geological analysis of West Java region, Indonesia. Indroyono Soesilo & Richard A. Hoppin
  • Relating L-band scatterometer data with soil moisture content and roughness. P. J. F. Swart
  • Shuttle Imaging Radar (SIR-A) interpretation of the Kashgar region in western Xinjiang, China. Dirk Werle
  • 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
  • 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

can be used for angle discrimination within the illu 
minated spot. 
A video camera attached to the supporting struc 
ture of the antenna registrates the measured objects. 
A time indication added to the video images enables 
the data interpreter to link the desired objects 
with radar and flight data. The specifications of the 
DUTSCAT are listed in table 2. 
Table 2. Specifications of DUTSCAT (multi-band). 
Frequencies 
Antenna 
Transmitted power 
Operating range 
Pulse length 
PRF 
Polarization 
Sample frequency 
Range resolution 
1.2, 3.2, 5.3, 9.65, 
13.7 and 17.25 Ghz 
0.9 m parabolic dish 
250 mW 
50 - 1920 meters 
100 ns 
78.125 kHz 
HH or VV 
20 MHz (7.5 m), 
8 bits I & Q 
15 m 
The forest stands of interest have been measured 3 
or 4 times with the DUTSCAT for each angle and/or 
polarization. For the relatively small stands and for 
the high incidence angles this repetition was found 
to be necessary. This can be explained as follows. 
The distance r between sensor and object and the 
ground range distance y (figure 1) will fluctuate 
around designed values. The effect of small roll 
movements and height variations of the platform can 
easily be quantified. Since y = h. tan (0^) 
h 
dy = d0£ + tan0- ,dh (1) 
cos 2 0£ 
This formula shows that especially at high incidence 
angles variations in dh en d0£ will have a strong 
effect. This is illustrated by the following numeri 
cal example: Suppose the height of flight is 200 
meter and angle of incidence is 60 degrees. Realistic 
values for height and roll variation are dh= + 10 
meter and d0^ = +2 degrees. This results in 
y = 346.4 meter and dy = + 48.6 meter. 
The variation in dy is troublesome when small stands 
have to be measured. If navigation is perfect, 
variations in height and roll angle will still cause 
the illuminated spot to sweep across the stand and to 
cross borders occasionally. Therefore only the lar 
gest forest stands (exceeding 200 m in ground range) 
have been selected for the DUTSCAT campaigns. 
For research the multiband scatterometer has some 
major advantages over the SLAR. Gamma values can be 
measured simultaneously in six frequencies, a choice 
can be made between vertical and horizontal like 
polarization and the system is accurately calibrated 
both internally and externally. The major advantage 
of the SLAR is its imaging capability. Spatial 
patterns and differences in image texture can be per 
ceived. 
Another difference between SLAR and scatterometer 
is not apparent immediately. It follows from diffe 
rences in measurement geometry. The SLAR usually is 
operated from larger altitudes and the across track 
beam width is considerably larger making the across 
track illuminated spot width in the order of seve 
ral kilometers whereas this figure is in the order of 
several tens of meters for the scatterometer (figure 
2). As a result contributions of scatterers from 
different horizontal layers in the forest arrive 
somewhat separated in time at the receiver (section 
4). This effect enables the data interpreter to 
distinguish sources of scattering (sections 4 and 5) 
but at the other hand makes 'standard' pre 
processing as used for non-forested areas question 
able (sections 4 and 6). 
Figure 1. Measurement geometry with height of flight 
(h), distance sensor - target (r), ground range dis 
tance (y) and angle of incidence (0f). 
Figure 2. The relatively small beam width and low 
height of flight of the scatterometer (DUTSCAT) ma 
kes that contributions of scatterers from different 
horizontal layers in the forest are measured in dif 
ferent range cells. For the SLAR system in x every 
range cell all forest layers are (equally) repre 
sented. 
3. FOREST CANOPY ATTENUATION MEASUREMENTS USING 
CORNER REFLECTORS 
3.1 Corner reflector experiment 
During the summers of 1984 and 1985 measurements of 
forest canopy attenuation were conducted with the use 
of corner reflectors. The first experiment of this 
kind took place at the Roggebotzand site over stands 
of poplar and oak with the X-band SLAR. In 1985 these 
measurements were continued with the X-band 
and the L-band scatterometer but these have not been 
fully analysed yet. Three corner reflectors with an 2 
X-band raaar cross section (in free space) of 45 dBm
	        

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Damen, M. .C. .J. Remote Sensing for Resources Development and Environmental Management. A. A. Balkema, 1986.
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