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

791 e. as studied, the t constant at a algorithm in ns equation (24) (24) a linear (25) line, b is the he intersection X function. on (24) with (26) (27) (28) - (L PR l a ))} HG (29) total trans en the visibi- ss (Tozone (\) irds, if the one will obtain ferent sets of ., since the is is are represen- ital numbers and h spectral 5. orresponds to reflectance on the Landsat TM image. From table 6 it is clear that the selected values for the ozone optical thickness will not influence the results too much. However, the data for the meteoro logical visibility, the solar zenith angle and the solar extraterrestrial irradiance have to be choosen carefully. The first two variables can be retrieved easily and rather exactly from respectively the CCT and meteorological observations. Table 5. Results of the sensitivity analysis. Variable low mean high or value value value parameter input L w input L w input L w V at 485 nm 5 5.147 23 2.675 100 2.308 at 560 nm 5 4.205 23 2.416 100 2.136 at 660 nm 5 3.017 23 1.899 100 1.715 6o at 485 nm 20 1.282 40 2.675 70 5.086 at 560 nm 20 1.824 40 2.416 70 3.553 at 660 nm 20 1.722 40 1.899 70 2.245 ozone T 485 0.005 2.325 0.015 2.675 0.020 2.850 ozone T 560 0.020 2.313 0.025 2.416 0.040 2.725 ozone T 660 0.005 1.792 0.014 1.899 0.020 1.970 ozone T 830 at 485 nm .0001 2.690 0.001 2.675 0.005 2.611 at 560 nm .0001 2.427 0.001 2.416 0.005 2.370 at 660 nm .0001 1.906 0.001 1.899 0.005 1.867 E 0 (90,485) 182 3.406 192 2.675 202 1.949 Eo(90,560) 173 2.848 183 2.416 193 1.984 Eq(90,660) 150 2.170 160 1.899 170 1.628 E 0 (90,830) at 485 nm 99 1.977 109 2.675 119 3.257 at 560 nm 99 1.909 109 2.416 119 2.939 at 660 nm 99 1.549 109 1.899 119 2.190 Table 6. Digital numbers radiances used in table (DN) and 5. corresponding spectral band frequency nm DN, b L* mW 2 cm .sr.ym 1 485 95 5.807 2 560 35 3.988 3 660 30 2.654 4 830 11 0.824 CONCLUSION An atmospheric correction algorithm has been develo ped for Landsat Thematic Mapper. It will be rather easy to apply on images taken months or even years ago since the only meteorological variable, the horizontal visibility, can be easily retrieved from meteorological time series. For water quality appli cations it might be necessary to cluster 4*4 pixels to increase the signal to noise ratio, but even then the resolution is considerably better than for CZCS, namely 120 m. Future research will prove the suita bility of this algorithm. Acknowledgements The author wishes to express his thanks to C. De Croly and P, Doyen from the Ministry of National Education of the French Community (Brussels) for their assistance in the computer work. The author also acknowledges S. Tassan from the Joint Research Center (Ispra - Italy) for the fruitfull discussion. REFERENCES Austin, R.W. 1974. The remote sensing of spectral radiance from below the ocean surface. In Jerrlov and Nielsen (eds.), Optical aspects of oceanography, p. 317-344. London, New-York : Academic Press. Barker, J.L. 1984. Relative calibration of Landsat reflective bands. In NASA Conference Publication 2326, Landsat-4 Science Investigations Summary, Vol. I, p. 140-180. Elterman, L. 1968. UV, visible and IR attenuation for altitudes to 50 km. Bedford Mass. : AFCRL. Elterman, L. 1970. Vertical attenuation model with eight surface meteorological ranges 2 to 13 km. Bedford Mass. : AFCRL. Gordon, H.R. 1978. Removal of atmospheric effects from satellite imagery of the oceans. Appl. Opt. 17 : 1631-1636. Koschmieder, H. 1938. Naturwissenschaften 26 : 521. Linke, F. 1956. Die Sonnestrahlung und ihre Swächung in der Atmosphäre. In F. Linke & F. Moeller, Handbuch der Geophysik, Kap. 6, Berlin: Gebr. Borntraeger. McClatchey, R.A., R.W. Fenn, J.E.A. Selby, F.E. Volz & J.S. Gaving 1972. Optical properties of the atmosphere. AFCRL - 72-0497, Environmental Research Papers, No 411. Middleton, W.E.K. 1958. Vision Through the atmosphere. Toronto: University of Toronto Press. Nasa 1982. Landsat Data Users Notes, 23: 1-11. Neckel, H. & D. Labs.1981. Improved data of solar spectral irradiance from 0.33 to 1,25 Ä. Sol. Phys. 74: 231-249. Nykjaer, L., P. Schlittenhardt & B. Sturm 1984. Qualitative and quantitative interpretation of ocean color - Nimbus-7 CZCS imagery of the Northern Adriatic Sea from May to September 1982, Ispra: Joint Research Centre. Salomonson, V.V. et al.,1983. Water resources assessment. In J.E. Estes & G.A. Thorley (eds. of volume II), Manual of remote sensing, p. 1497-1570. Falls Church: American Society of Photogrammetry. Sorensen, B.M. 1979. The North Sea ocean color scanner experiment 1977. Ispra: Joint Research Centre. Sturm, B. 1981. The atmospheric correction of remotely sensed data and the quantitative determination of suspended matter in marine surface layers. In A.P. Cracknell (ed.), Remote sensing in meteorology, oceanography and hydrology, p. 163-197. Chicester: Ellis Horwood Ltd. Tassan, S. 1986. Private communication.

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