Retrodigitalisierung Logo Full screen
  • First image
  • Previous image
  • Next image
  • Last image
  • Show double pages
Use the mouse to select the image area you want to share.
Please select which information should be copied to the clipboard by clicking on the link:
  • Link to the viewer page with highlighted frame
  • Link to IIIF image fragment

Remote sensing for resources development and environmental management (Volume 3)

Access restriction

There is no access restriction for this record.

Copyright

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

Bibliographic data

fullscreen: Remote sensing for resources development and environmental management (Volume 3)

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:
856662364
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Scope:
VI, Seiten 959-1074
Year of publication:
2016
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856662364
Signature of the source:
ZS 312(26,7,3)
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:
Invited papers
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Comparison of MOMS and Thematic Mapper, data for geoscientific application and aspects for future development of multispectral sensors. J. Bodechtel
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 3)
  • Cover
  • Title page
  • Title page
  • Table of contents
  • Opening ceremoney
  • Keynote addresses
  • Invited papers
  • Comparison of MOMS and Thematic Mapper, data for geoscientific application and aspects for future development of multispectral sensors. J. Bodechtel
  • The second generation high resolution satellite systems: First results of the SPOT 1 satellite. Gérard Brachet
  • Small Format Aerial Photography for analysing urban housing problem (Case study: Bangkok Metropolitan Region). C. Chanond & C. Leekbhai
  • Hydrologic and oceanographic applications of remote sensing. Arthur P. Cracknell
  • Remote sensing for non-renewable resources: Satellite and airborne multiband scanners for mineral exploration. Alexander F. H. Goetz
  • The integration of remote sensing and geographic information systems. David G. Goodenough
  • Monitoring environmental resources through NOAA's polar orbiting satellites. Joan C. Hock
  • The microwave remote sensing program for agriculture and forestry in the Netherlands. L. Krul
  • Approaches to monitoring renewable resources using remote sensing and geographical information system. Lennart Olsson
  • Closing ceremony
  • Author index
  • Cover

Full text

986 
- estimate the radiometric resolution and dynamic 
range by calculating statistics and entropy; 
- evaluate the spatial resolution and dynamic range 
by calculating statistics and entropy; 
- evaluate the spatial resolving powers by 
o performing an edge analysis, 
o estimating point spread functions, 
- compare the spectral capabilities, 
- analyse the MOMS within scan noise, MOMS and TM 
between scan noise and signal-to-noise ratios. 
Tables 2, 3, 4 and 5 show different results ob 
tained in the testsites. 
Fig. 6 shows an enlarged section of the testsite in 
Kenya, processed by NASA/GSFC. The MOMS-01 in 
frared band is compared to TM band 4. During the 
STS-7 mission the MOMS infrared band turned out to 
be out of focus. Due to the modular concept the 
focal length of the dual lens optics could be 
adjusted new for the upcoming STS-11/41-B mission 
by mounting a glass plate between optics an arrays. 
However, the band still is slightly out of focus. 
During the Kenya data take as shown in this example 
M0MS-01 was operating in the lower gain mode of the 
two, which could be selected by the MOMS mission 
specialists at Johnson Space Flight Center in 
Houston. Thus the higher spatial resolution of 
MOMS versus TM is compensated by a lower dynamic 
range (see also Fig. 5). 
Complementary to the investigations of the working 
group at NASA/GSFC the data comparison was carried 
out at the AGF-Working Group Geoscientific Remote 
Sensing by employing the following approach: 
- display and visual comparison of MOMS 600 and 900 
nm bands and TM bands 2+3 (2+3 and average 
calculated) and 4, 
- MOMS 900/600 nm and TM 4/2+3 ratio processing and 
visual comparison, 
- MOMS and TM IHS (Intensity, Hue, Saturation) 
processing to generate color renditions (see Fig. 
7 and 8), 
- calculation of histograms (see Fig. 9), 
- calculation of scattergrams (see Fig. 10). 
Figures 7-10 show the results obtained in the 
testsite Atacama desert, Chile. 
Figure 7 and 8: MOMS and Thematic Mapper IHS 
proessing of a section of the testsite Atacama 
desert. MOMS and Thematic Mapper data have been 
treated with equal processing methods for comparing 
the system's performance for thematic mapping. 
Different colors of the same surface features are 
due to a different portioning and range of spectral 
bands (see also Fig. 5). MOMS features - as given 
by the specifications - a higher spatial resolu 
tion than TM, which in this specific example is 
not being compensated by a lower dynamic range, 
because MOMS was switched to gain level 2 (see 
also figures 9 and 10). The slight defocussing of 
the MOMS infrared band does not afreet the image 
quality as the resolution depends on the highest 
resolving data used within one processing, which 
is the 600 nm visible band. 
The sun azimuth angle between both scenes is 
nearly perpendicular, thus different geological 
features are enhanced. 
RESULTS 
In the framework of the cooperative effort between 
NASA and BMFT MOMS'and Thematic Mapper's system 
performances have been compared in terms of spatial, 
spectral and radiometric resolving powers and noise 
characteristics by NASA. 
The evaluations at the AGF-Working Group Geoscienti- 
fic Remote Sensing were focussed on preparing 
application - oriented computer processings of 
both systems under equal conditions and comparing 
their applicability for thematic mapping. 
The results can be summarized as follows: 
- when operating in gain level 1, MOMS has a lower 
dynamic range then TM, whereas, when switched to 
gain 2, the dynamic ranges are comparable. 
- the computer processings prove MOMS to have a 
higher spatial resolution, when the exactly 
focussed visible band is used directly or 
processings including this band. The infrared 
band is out of focus, thus point spread function 
calculations indicate a lower spatial resolving 
power of MOMS versus TM. The spatial resolution 
of MOMS decreases from the left to the right 
side of one detector array. 
- the noise variances in both MOMS and TM are 
similar, but since MOMS is a 7-bit system the 
percentage of the image radiometric information 
containing noise is greater and the SNR of TM 
is higher. 
- the noise pattern in MOMS images has a vertical 
as well as a horizontal structure. The vertical 
structure is due to miscalibration of individual 
detectors and changing response across detector 
arrays. There is also a significant difference in 
noise variances between odd and even detectors. 
The absolute radiometric correction applied to 
the data for the recent evaluations at the AGF- 
Working Group improves the pixel grey value 
variation within one scan line of maximum 3-4 
in raw data to 1 - 2 as could be found by 
analyzing image profiles. 
- the geometry of the MOMS instrument was found to 
be very stable. Although geometrically corrected 
TM data has a pixel spacing of 28,5 meters, 
subsets of the TM images could be registered to 
the MOMS images with an average pixel error of 
10 meters. 
The results elaborated until now show the two 
instruments to be to a certain extend similar in 
the spectral bands that were compared. Although 
the MOMS scanner has a smaller IF0V, its lower 
modulation transfer function versus TM compensates 
this advantage especially surface features under 
low sun angles or low contrast phenomena have been 
observed with the instrument being switched to 
gain level 1. 
Operating in gain mode 2 an improvement in resolving 
power can be stated. 
The deficiencies are due to the CCD arrays used 
(Reticon CCPD 1728). 
For the upcoming M0MS-02 to be tested in space 
aboard the D-2 mission actual sensor developments 
will be used featuring more pixels per scan line and 
a better overall performance (see following chapter). 
Optoelectronic arrays have already been tested and 
evaluated concerning their applicability for space- 
borne remote sensing in the framework of a phase-B 
study on Stereo-MOMS, the operational representative 
of the MOMS family for the Polar Platform in the 
mid-nineties. 
TECHNICAL SPECIFICATIONS AND MISSION OBJECTIVES OF 
M0MS-02 
MOMS-02, as suggested for a space flight aboard the 
D-2 mission, will feature the following technical 
parameters: 
- three nadir looking multispectral bands (560 + 20
	        

Cite and reuse

Cite and reuse

Here you will find download options and citation links to the record and current image.

Volume

METS METS (entire work) MARC XML Dublin Core RIS Mirador ALTO TEI Full text PDF DFG-Viewer OPAC
TOC

Chapter

PDF RIS

Image

PDF ALTO TEI Full text
Download

Image fragment

Link to the viewer page with highlighted frame Link to IIIF image fragment

Citation links

Citation links

Volume

To quote this record the following variants are available:
Here you can copy a Goobi viewer own URL:

Chapter

To quote this structural element, the following variants are available:
Here you can copy a Goobi viewer own URL:

Image

To quote this image the following variants are available:
Here you can copy a Goobi viewer own URL:

Citation recommendation

damen, m. .c. .j. Remote Sensing for Resources Development and Environmental Management. A. A. Balkema, 2016.
Please check the citation before using it.

Image manipulation tools

Tools not available

Share image region

Use the mouse to select the image area you want to share.
Please select which information should be copied to the clipboard by clicking on the link:
  • Link to the viewer page with highlighted frame
  • Link to IIIF image fragment

Contact

Have you found an error? Do you have any suggestions for making our service even better or any other questions about this page? Please write to us and we'll make sure we get back to you.

How much is one plus two?:

I hereby confirm the use of my personal data within the context of the enquiry made.