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:: 856343064

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: XV, 547 Seiten

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856343064

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,1)

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:: 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Multitemporal analysis of LANDSAT Multispectral Scanner (MSS) and Thematic Mapper (TM) data to map crops in the Po valley (Italy) and in Mendoza (Argentina). M. Menenti & S. Azzali, D. A. Collado & S. Leguizamon

Document type:: Multivolume work

Structure type:: Chapter

294 Table 1. Number of available and suitable images, compared with theoretically possible number of satellite overpasses from April through September, for two irrigation districts, Grande Bonifica Ferrarese and East Sesia, from 1980 through 1985 Year Path/row Sensor Over passes Available images Images cloud free in 4 quadrants Images cloud free in the relevant quadrants Suitable images in relevant quadrants from April to Sept. Number of required images for the investigation num ber % of total num ber % of total num ber % of total num ber % of total Grande Bonifica Ferrarese 1980 206/29 MSS 41 22 53.7 3 7.3 4 9.8 4 9.8 3 207/29 MSS 41 24 58.5 5 12.2 7 17.1 5 12.2 3 1981 206/29 MSS 40 7 17.5 not available 7 17.5 6 15.0 3 207/29 MSS 40 5 12.5 not available 5 12.5 5 12.5 3 1982 206/29 MSS 33 12 36.4 not available 6 18.2 4 12.1 3 207/29 MSS 33 12 36.4 not available 4 12.1 3 9.1 3 1983 192/29 MSS 26 20 76.9 4 15.4 6 23.1 1 3.9 3 1984 192/29 MSS 42 24 57.1 2 4.8 4 9.5 3 7.1 3 TM 19 15 78.9 1 5.3 2 10.5 2 10.5 3 1985 192/29 MSS 46 37 80.4 6 13 14 30.4 10 21.7 3 TM 23 19 82.6 2 8.7 5 21.7 4 17.4 3 East Sesia 1980 209/28 MSS 41 24 58.5 2 4.9 4 9.8 3 7.3 3 1981 209/28 MSS 40 13 32.5 not available 6 15.0 5 12.5 3 1982 209/28 MSS 33 13 39.4 not available 4 12.1 3 9.1 3 1983 194/28 MSS 26 18 69.2 3 11.5 4 15.4 1 3.8 3 1984 194/28 MSS 42 38 90.5 2 4.8 5 11 .9 4 9.5 3 TM 19 17 89.5 1 5.3 3 21.1 2 10.5 3 1985 194/28 MSS 46 42 91.3 7 15.2 13 28.3 6 13.0 3 TM 23 21 91.3 5 21.7 7 30.4 3 13.0 3 Figure 1. Attainment of 100% ground cover in the irrigation district Grande Bonifica Ferrarese in Italy, dur ing the growing season of 1985 ; A. cumulative distribution of area of occurrence for sugar beet; [t^, t^ ] such as to give [ACt^) - A(t^)] = 0.8 A(t^); B. durations [t^, t^] and [t^, 12] for each crop overlap between the periods [t-|, 12 ] applying to each crop will be rather large, thus complicating crop discrimination on the basis of multitemporal reflec tance measurements. We can make discrimination eas ier by accepting a higher risk of misinterpretation. So, on the basis of a graph of A(t) (Fig. 1A) we can estimate a time period [t., ¿2] < [t^, 12] such as to include 80%, say, of A(t2l. The left and right 10%- tails are left out of consideration, thus accepting the implied risk of misinterpretation. We can final ly obtain a crop calendar (Fig. 1B) giving for each crop and stage both the duration [tj, t2] and [t^, £2]- Note that these intervals of time are not the actual duration at an individual field of the phenological stage 'attainment of full ground cover' They indicate that period of time within which a

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