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Remote sensing for resources development and environmental management (Volume 2)

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Bibliographic data

fullscreen: Remote sensing for resources development and environmental management (Volume 2)

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:
856641294
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Scope:
IX Seiten, Seiten 551-956
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A,. A. Balkema
Identifier (digital):
856641294
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(26,7,2)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Damen, M. C. J.
Editor:
International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data
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:
6 Hydrology: Surface water, oceanography, coastal zone, ice and snow. Chairman: K. A. Ulbricht, Co-chairman: Mikio Takagi, Liaison: R. Spanhoff
Write comment:
Wegen zu enger Bindung kommt es teilweise im Original zu Textverlust.
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
A simple atmospheric correction algorithm for Landsat Thematic Mapper satellite images. P. I. G. M. Vanouplines
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 2)
  • Cover
  • Title page
  • Title page
  • Title page
  • Table of contents
  • 5 Non-renewable resources: Geology, geomorphology and engineering projects. Chairman: J. V. Taranik, Liaison: B. N. Koopmans
  • 6 Hydrology: Surface water, oceanography, coastal zone, ice and snow. Chairman: K. A. Ulbricht, Co-chairman: Mikio Takagi, Liaison: R. Spanhoff
  • A methodology for integrating satellite imagery and field observations for hydrological régionalisation in Alpine catchments. R. Allewijn
  • The JRC program for marine coastal monitoring. J. A. Bekkering
  • Shape and variability of the absorption spectrum of aquatic humus. H. Buiteveld & F. de Jong, R. Spanhoff, M. Donze
  • Rainlog and preslog: Novel tools for in-situ measurements. D. de Hoop
  • Simple classifiers of satellite data for hydrologic modelling. R. S.Drayton, T. R. E. Chidley & W. C. Collins
  • The delineation and classification of inland wetlands utilizing fcir stereo imagery. Stephen A. Estrin
  • A hydrological comparison of Landsat TM, Landsat MSS and black & white aerial photography. M. J. France & P. D. Hedges
  • Application of remote sensing in hydromorphology for third world development: A resource development study in parts of Haryana (India). A. S. Jadhav
  • Remote sensing of flow characteristics of the strait of Öresund. L. Jönsson
  • Present state, changes and quality of Sologne and Brenne, two French large wetlands, studied with the MSS and TM Landsat data. Michel Lenco, Jean-Pierre Dedieu
  • The quantification of floodplain inundation by the use of LANDSAT and Metric Camera information, Belize, Central America. S. T. Miller
  • Remote sensing as a tool for assessing environmental effects of hydroelectric development in a remote river basin. W. Murray Paterson & Stewart K. Sears
  • Environmental assessment for large scale civil engineering projects with data of DTM and remote sensing. Taichi Oshima & Atsushi Rikimaru, Youichi Kato & Masaharu Nakamura
  • Sea surface temperature studies in Norwegian coastal areas using AVHRR- and TM thermal infrared data. J. P. Pedersen
  • Satellite data in aquatic area research: Some ideas for future studies. Jouko T. Raitala
  • Analysis of Landsat multispectral-multitemporal images for geologic-lithologic map of the Bangladesh Delta. A. Sesören
  • Water quality monitoring of Lake Balaton using LANDSAT MSS data. H. Shimoda, M. Etaya & T. Sakata, L. Goda & K. Stelczer
  • Determination of spectral signatures of natural water by optical airborne and shipbome instruments. D. Spitzer & M. R. Wernand
  • Classification of bottom composition and bathymetry of shallow waters by passive remote sensing. D. Spitzer & R. W. J. Dirks
  • Satellite remote sensing of the coastal environment of Bombay. V. Subramanyan
  • A study with NOAA-7 AVHRR-imagery in monitoring ephemeral streams in the lower catchment area of the Tana River, Kenya. J. W. van den Brink
  • A simple atmospheric correction algorithm for Landsat Thematic Mapper satellite images. P. I. G. M. Vanouplines
  • 7 Human settlements: Urban surveys, human settlement analysis and archaeology. Chairman: W. G. Collins, Co-chairman: B. C. Forster, Liaison: P. Hofstee
  • 8 Geo-information systems. Chairman: J. J. Nossin
  • Cover

Full text

789 
elected, where 
reference band. 
orse than for 
86) advises to 
able or even 
resolution 
dvantage over the 
CZCS and TM is 
his possibility 
he first sensor 
ions. With the 
ded. Care should 
on a TM image, 
dir-looking, 
n account oblique 
eric correction 
DIANCE AND SKY- 
eigh path 
ximation as 
ed by air 
sunlight, 
the satellite's 
uation (5) 
(5) 
olar spectral 
tance, T air the 
on 3.3) and p^ 
quation (6) 
(6) 
nd T the total 
irradiance, 
and the wave- 
(7) 
ar extraterres- 
he earth's orbit 
n day. The 
errestrial 
bs (1981:246-247) 
e TM sensor 
gaussian curve : 
elength A can be 
1956) 
(8) 
from their 
T X = exp ( -T X /cos 0 O ) (9) 
where T X is the transmittance, T X the optical 
thickness, 0o the solar zenith angle and x = air, aero 
ozone or total. 
For the ozaone optical thickness (and hence for the 
ozone transmittance) a fixed value may be choosen for 
each wavelength. For TM in Belgian applications 
following values were choosen : 
ozone 
T 
'4 8 5 
0.015 
ozone 
T 
56 0 
0.025 
To obtain K^ er °, one takes in account the ratios of 
the effective cross sections of Mie particles 
(a^er°) ag g-[ ven e q ua tion (16), and the particle 
density at height z (N aero (z)). 
550 ~(550) 
aero X 
3-a 
(16) 
One obtains now equation (17) 
3.912 
K^ er ° (z) - 
(- 
N 
'(0) 
V 
0.0116)(”) 
A 
a-3 
(17) 
ozone 
T 
6 6 0 
0.014 
The particle density N aer ° (z) can be approximated by 
the set of equations (18) 
x OZOne =0.001 
8 3 0 
The Rayleigh phase functions can be calculated for 
nadir-looking satellite from 
p M (^±)= (l+cos 2 0 o ) 
in which 0 O is the solar zenith angle. 
(10) 
3.2 Skyglitter 
The skyglitter is for a nadir-looking satellite given 
by equation (11) 
l hg = P E oT tot T air P M (40 (ID 
The three equations (5), (6) and (11) are now com 
bined in equation (12) 
t . t T. „ozone 2 air r M, . . 
l pr l hg = E ° T T {p ({,j) + 
+ p (ip) (T (yo ) + T )} (12) 
where the total transmittance is written as 
T tot = T ozone 
55 exp(-(z-5.5) /H^) z < 5.5 km 
5.5 <z< 18 km (18) 
55 exp(-(z-18 ) /H^) 
z > 18 km 
where H x = 0.886 + 0.0222 V and H 2 = 3.77 km. 
The set of equation (18) is developed by Me Clatchey 
et al. (1972) which is based on 79 series of measure 
ments by Elterman (1968, 1970). 
The Mie optical thickness (by scattering of aerosol 
particles) is defined as 
aero 
K A 
(z)dz 
(19) 
With equations (17), (18) and (19) equation (20) to 
calculate the aerosol optical thickness at a height 
(z >18 km) can be set up by integration 
H 2 exp (-5.5/H^ 
The ozone transmittance is squared since the light 
has to pass the ozone layer twice. 
3.3 Mie optical thickness 
The visibility range or meteorological range V was 
introduced by Koschmieder (1938) and is related to 
the scattering or attenuation coefficient K (0), 
defined by Middleton (1957). This relationship is 
given in equation (13) 
V 
_ 3.912 
(13) 
in which K^(0) is the total scattering coefficient at 
height 0 m, and wavelength X. 
Since 
K (0) = K air (0) + K aer0 (0) (14) 
550 550 550 
where K550 (0) is the air molecule scattering 
coefficient, at height Om and wavelength 550 nm and 
K||ro (0) the 
aerosol scattering coefficient, at 
height 0 m and wavelength 550 nm. 
One obtains equation (15) 
Kffo° (0) = ~~ ~ K550 (0) (15) 
For satellite observations, z is equal to °°, and 
one obtains 
T»"°a) - <i|U - o.omx^r 
V À 
{H(l-exp(-5.5/H)) + 12.5 exp (-5.5/H) + 
3.77 exp(-5.5/H)} (21) 
where V is the visibility range or meteorological 
range, X the wavelength and H = 0.886 + 0.0222iV 
a is normally equal to 4. 
Data on the meteorological range can be obtained in 
Belgium from the Royal Meteorological Institute 
(KMI/IRM) for 20 stations (measured every three hours) 
in the monthly synoptical observations. 
4 CALCULATION OF THE AEROSOL PATH RADIANCE RATIO 
The aerosol path radiance ratio a (A,Ao) is first used 
in equation (2). It is possible to set up an equation 
for aerosol path radiance analogous to equation (5). 
The aerosol path radiance ratio is then expressed by 
equation (22), assuming that the phase function is 
independent of the wavelenght 
ot(X, X 0 ) 
3.QYO / *\ \ n /_ ■* \ _OZOn6 / \ 
t (X) E 0 (D,X) T (A,y,Uo) 
T (X 0) Eo(DjÀo)T (X 0 > y>yo) 
Equation (15) is valid for standard conditions 
(temperature 15°C, atmospheric pressure 1013 mb), 
were Kfir ( 0 ) = Q.0116 km“ 1 
where 
„ozone,. . „ozone ,, . „ozone ,, . 
T (X,y,y 0 ) = T (A,y).T (A,y 0 )
	        

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