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

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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

985 
COMPARISON OF TM AND 
I (Gray-brown) 
Green) 
) 
ESTIMATED MOMS DYNAMIC RANGE 
ImWcm* 2 ster -1 (Am -1 ) 
MOMS 
- ^ „Y 
an 
BAND 
RMIN 111 
RMAX 121 
SLOPE 13 * 
R* 
\ 
NAKLfRU. KENYA 
900 nm 
-.15 
16.40 
130 
85 
\ N 
BARAZARTA. CHILE 141 
900 nm 
-.07 
11.09 
.088 
96 
SOKOLO. MALI 
600 nm 
38 
27 34 
.212 
.97 
0 \ 
900 nm 
-.32 
17.94 
144 
.97 
' V. 
JEBEL EIGRIM. SUDAN 14 “ 
600 nm 
.14 
11.65 
.081 
98 
\ Y 
900 nm 
99 
8.91 
.062 
.98 
\ \ 
AHAGGAR. ALGERIA 1 “ 
600 nm 
236 
22 18 
.156 
.96 
X'na 
900 nm 
1.38 
1592 
.114 
.96 
TM 560 nm BAND 151 
-.28 
29.68 
.117 
s \ 
TM BBS nm BAND 151 
-.15 
20.62 
081 
V \ 
">RMIN AT Lr- - 0 DN 
'J'RMAX AT Lc«i - 127 DN FOR MOMS AND 255 DN FOR TM 
O'UNITS OF mWcm - 1 star - 1 
un ' ’ DN ' ’ 
“'MOMS WAS OPERATED IN A HIGH-GAIN MODE 
2 2 2.4 2.6 «»'FROM BARKER (1985) 
••'NO DARK TARGETS 
POINT SPREAD FUNCTION 
NAKURU, KENYA EDGE 1 
LANPSAT-5 TM 830 nm BAND 
MEAN 2« M 
STD D€V 1« 50 M 
HALF WIOTH 22.95 M 
COSINE (0) 93 
ESTIMATE RESOLUTION 45 92 M 
COS 0 CORRECTED RESOLUTION 42.61 M 
STS-11 MOMS 900 nm BAND 
MEAN .44 M 
STD. DEV. 32.24 M 
HALF WIOTH 37.96 M 
ESTIMATED RESOLUTION 75.92 M 
and Thematic 
and TM bands 
"age 
iry bare soil 
ater. 
MOMS AND TM COMPARISON 
FULL IMAGE STATISTICS (mWcm -2 »ter -1 n-m ’) 
NAKURU. KENYA 
MIN 
MAX 
RANGE 
MEAN 
STD DEV 
-.15 
1640 
1655 
5.78 
1 053 
TM 
760-900 nm 111 
1.48 
12.53 
11.06 
BARAZARTA. CHILE' 21 
MOMS 
825-975 nm 
-.07 
8.28 
8.35 
2.67 
1.039 
TM 
760-900 nm" 1 
1 .01 
8.94 
8.93 
2.89 
SOKOLO. MALI 
MOMS 
825-975 nm 
-.17 
17.94 
18.11 
6.83 
1.091 
TM 
760-900 nm" 1 
1 145 
11.36 
991 
7.52 
MOMS 
575-625 nm 
.38 
20.61 
20.23 
7.14 
TM 
520-600 nm" 1 
1 3.07 
12.71 
964 
7.84 
1.378 
AHAGGAR, ALGERIA 121 
MOMS 
825-975 nm 
1.38 
15.92 
14.54 
5.34 
.994 
TM 
760-900 nm" 1 
1 1.34 
9 94 
860 
6.01 
1.122 
MOMS 
575-625 nm 
236 
12.03 
9.68 
6.53 
1.106 
TM 
520-600 nm" 1 
1 2 58 
16.76 
13 18 
693 
"TM RADIANCE ADJUSTED TO MOMS SUN AN OLE AND SOLAR IR RADIANCE 
u *MOMS ACQUIRED IN HIGH GAIN MODE 
»NO DARK TARGETS 
INFORMATION CONTENT ("ENTROPY") 
OF SENSOR BANDS 
NAKURU SOKOLO 
KENYA MALI 
BARA2ARTE 
CHILE <2 > 
AHAGGAR 
ALGERIA < 2 » 
JEBEL EIGRIM 
SUDAN 
STS-11 MOMS 
575-625 nm 
m 
4.71 
(1) 
4.71 
4.78 
825-975 nm 
5.00 
4.83 
5.53 
5.07 
4.98 
SUN ELEVATION 
72 
47 
27 
34 
23 
LANDSAT-5 TM 
520-600 nm 
4.55 
5.69 
5.25 
5.93 
543 
630-690 nm 
5.24 
6.68 
6.07 
6.77 
6.18 
760-900 nm 
5.50 
6.18 
5.87 
6.41 
5.94 
SUN ELEVATION 
48 
56 
29 
59 
59 
»1 DATA HAS A BIT-SHIFT PROBLEM 
Ul MOMS ACQUIRED IN HIGH GAIN MODE 
/stem 
TM 
YG MIRROR WITH 
CTOR ARRAYS 
42.5 nr ad 
30 m 
5 km ORBIT) 
1320 IFOV 
185 km 
56 (8-BIT) 
7 
>0 ± 40 nm 
¡0 ± 30 nm 
I0 ± 70 nm 
611 /xsec 
: the AGF- 
rnl radio- 
li lable. 
:omparison 
:orrected 
interpolation 
processing 
:m (TIPS) at 
;a at 
I way: 
ockwise, as 
nearly 
FEBRUARY 7, 1984 
SUN EL = 72° 
JULY 1, 1984 
SUN EL = 48° 
bands using 
nsforms and 
Tables 2, 
3, 4 and 5, figure 6, testsite Nakuru, Kenya.
	        

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