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:: 5 Non-renewable resources: Geology, geomorphology and engineering projects. Chairman: J. V. Taranik, Liaison: B. N. Koopmans

Write comment:: Wegen zu enger Bindung kommt es teilweise im Original zu Textverlust.

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Assessment of desertification in the lower Nile Valley (Egypt) by an interpretation of Landsat MSS colour composites and aerial photographs. A. Gad & L. Daels

Document type:: Multivolume work

Structure type:: Chapter

604 MAP OF SOIL CONDITIONS images is the only possible way to understand the relationship between specific landscape elements and the dominant processes in large areas. Enlarging the landsat images made the mapping easier. Aerial photo graphs, with a higher resolution, are necessary for understanding and observing the morphologic charac teristics of smaller landforms. Information obtained at a lower level of observation may then be extrapo lated to higher levels of observation. 7.2 Multi spectral sensing Multispectral imagery provides more information than data collected in a broad spectral band. Different phenomena ; the condition of the vegetation and diffe rences in soil conditions show a specific spectral reflectance only discernable on multi-spectral images. Field work and laboratory analysis are necessary for understanding the relation between certain phenomena and their recorded reflection. With a visual or an analog interpretation a general mapping could be performed on a scale of 1:250,000 and for some areas upon a scale of 1:100,000 with a reasonable accuracy. This method is most suitable for the assessment of the factors leading to desertifica tion. 8 . APPENDIX 1.- Macrophotomorphic units The macro PMU's were delineated according to the do minating colour. The colour scale of the "Manual of colour photography 1968" was used for the colour de scription. The mentioned numbers on the maps corres pond to the following colours : scale n° colour scale n° colour scale n° colour 2 S. pink 27 deep Y pink 134 V.L.Y.G. 3 deep pink 28 L.Y pink 135 L.Y.G. 4 L. pink 29 m Y pink 136 m Y.G. 5 m. pink 35 S. ro 153 g white 7 P. pink 36 deep ro 180 V.L.B. 11 v. red 37 m. ro 184 v. p. B. 12 S. Red 40 S.rBr 189 b white 13 deep Red 115 v.y.G. 248 deep p pK 16 d. Red 116 brill Y G 249 L.p.pK 25 v.y. pink 119 L.y.G. 251 d.pK. 26 S.y.pink 121 p.y.G. 263 white * S = strong ; L = light ; m = medium ; v = very ; R = Red; B = blue ; G = green ; p = purple ; y = yellow ; ro = orange. VThenever more than one colour exist, a combined code is used, e.g. : R(y) = red with inclusions of yellow R/v = both colours exist but red is dominant R-y = both colours exist at the same proportion. colour, te of shape c 1. ) coloui ler units 2. ) textui categories 3. ) qualit X = very c Y = not dj 4. ) homogs H = homogs h = heterc 5. relati\ b. = relat 9. REFEREi Butzer, K, Egypt d\. Egypt 3 i El-Baz, F. earth oi Sens. 44 El-Baz, F. from spc Advances developr El-Baz, F. South Ws region c p. 3017- El-Hag, M. landsat versitei El-Shazly, M.A. El- S. Sanac imagery in the C ternatic ment, Aj Gad, A. & vial act in the ] symposia characts studies 2-6 Decs Justice, ( ground < shend (e< p. 38-5! Kishk, N.i damage c symposii tility ; Assiut, Lillesand and imac John Wi! resource J.R.G. ' sensing Monir, M.l deposit: Desert I Murray, G outline Rapp, A. water, t versitel Said, R. ! York anc Salem, M.l of the I Mins. Cc UNEP, 198! UNEP. Delineation of the photomorphic units (PMU) 2.- Micro PMU 's were delineated by using the criteria indicated in the following descriptive formula :

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