Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

damen, m. c. j.

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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

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 A simple atmospheric correction algorithm for Landsat Thematic Mapper satellite images P.I.G.M.Vanouplines Royal Museum of Central Africa, Tervuren, Belgium ABSTRACT: An atmospheric correction algorithm for Landsat Thematic is developed on the basis of an algorithm proposed by Sturm. The algorithm needs only one meteorological variable, the horizontal visibility or meteoro logical range. The algorithm is tested with a sensitivity analysis, and shows to be well applicable in regions where the atmospheric conditions are stable, and well measured at observatories and airports. RESUME: Un algorithme pour la correction atmosphérique des données Landsat Thematic Mapper est développé, basé sur un algorithme proposé par Sturm. Il ne fait usage que d'une seule variable météorologique, la visibilité horizontale. L'algorithme est testé avec une analyse de sensibilité, ce qui montre son applicabilité dans des régions où les conditions atmosphériques sont stables et bien mesurées dans les observatoires ou les aéroports. INTRODUCTION For many applications in water quality research on oceans and estuaria it is necessary to apply an at mospheric correction on the radiation received by the satellites. Such atmospheric corrections were develo ped and applied for the Nimbus-7 Coastal Zone Color Scanner (CZCS) and for some other satellites. The disadvantage of these atmospheric corrections is that generally many meteorological variables should be known. If one obtains a satellite image, taken some months or years ago, it is often difficult to retrieve these variables. Therefore it should be interesting to have an atmospheric correction algorithm that needs only meteorological variables which are measured on a regular basis. In that case one has to retrieve the data from existing observation series in order to apply a more or less reliable atmospheric correction on a given satellite image. Sturm's paper (1981) describes such a "simple" atmospheric correction model for oceanographic appli cations. The algorithm is called simple,since it needs Only one meteorological variable : the meteorologi cal range. This variable may easily be retrieved from meteorological stations and airports. Sturm developed the correction for the Nimbus~7 CZCS which has a re solution of 825 meter. Adapting this correction for satellites with a higher resolution, such as Landsat Thematic Mapper (TM) or the SPOT satellite, with resolutions of respectively 30 and 20 meter in the multispectral bands, will provide for applications in the field of surface water research. These higher resolutions allow for water quality studies in lakes, estuaria, larger rivers and canals. In this paper the adaption of Sturm's atmospheric correction algorithm for TM will be developed. 1 GENERAL FORMULATION OF THE CORRECTION ALGORITHM The signal L received from water surfaces by a remote sensor can be expressed as follows (see also figure 1) L = L + L + L + L (1) SG tlG w p where Lg^ is the sunglitter, i.e. radiance due to direct solar radiance from the water surface, L^q the skyglitter, i.e. radiance due to diffuse radiance reflected from the water surface, L^, the water lea ving radiance and L p the path radiance, i.e. radiance scattered from molecules and particles in the atmosphere. Figure 1. Processes in the atmosphere and at the water-atmosphere interface in remote sensing. Equation (1) is valid for a remote sensor at height z, observing at a wavelength X, with a view direction zenith angle y, and a view direction azimuth angle (j). A practical solution for NIMBUS-7 CZCS has been proposed by Gordon (1978). Following assumptions have to be made : 1 the sunglitter term is absent; 2 at a given reference wavelength the upwelling subsurface radiance Lp is zero; 3 the path radiance term L can be separated into a term due to air molecule (or Rayleigh) scattering (L pr ) and a term due to aerosol (or Mie) scattering (L pa )• Equation (1) can then be written for a wavelength X and a reference wavelength Xq as : + L + l: PR + L X PA L = L,, + L + L HG PR PA Equation (2) supposes furthermore that the aerosol scattering path radiance at two wavelengths is pro portional. 787

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