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:: Spectral signature of rice fields using Landsat-5 TM in the Mediterranean coast of Spain. S. Gandia, V. Caselles, A. Gilabert & J. Meliá

Document type:: Multivolume work

Structure type:: Chapter

ipment stages i dates since :al Stage ’hase (70-80) i’hase (85-95) se(125-135) ding to 22nd been used to led out of 1: omenological INES. three of the /n in figure 2. DC). A clear r types of the iage rice and significant. : reflectivities classification. • of bordering titude in the in categories, an and citric - to the smaller nds chosen as other band ements. The iluation of the g prior to per h class values hnique of the it ion. But the VI instead of ited a better e out of the U ST 160 180 200 E X ndex images. 7 th AUGUST Figure 4. Spectral response, in digital counts (DC), of several rice varieties in bands 4 (B4) and 5 (B5). procedure applied to the smoothed VI images of the three days considered. This technique gives good results for July and August. However, it is not applicable to the September image where the small differences in bands 4 and 3 between rice and citrics, figure 2, cause that the degradation of the image, VI, eliminates its possible application to the discrimination between rice and citric orchards. Test areas of 3 x 3 pixels are very well classified for each class with the smoothed VI image. However, smaller parcels, 2x2 pixels, of urban or citric - vegetable zones are hardly distinguishable. Test area size of 2 x 2 pixels of urbanized class confuse themselves with those of the same ground size with short vegetated cover. The overall classification of the zone sets up 3730 ± 70 ha of rice, 1910 + 40 ha of citric - vegetables and 153 ± 4 ha of urbanized areas, 105 ± 2 ha are not classified. The image of 7th August for the area of La Albufera offers a greater distinction between the five varieties of rice studied.The image of September corresponding to the harvest phase is completely useless as it is expected from the study of the Sueca area. Finally, the image of July which corresponds to a less advanced period of the maturation phase is less significant. Figure 4 shows a measurement of reflectivity expressed in digital counts (DC) of the different varieties. The most significant measurements, as far as the distinction of varieties is concerned, are obtained in bands 4 and 5. Thus, figure 5 is a bidimensional diagram constructed from the image of August where the spectral classes, Bahia y Sequial are separated. It does not seem to be possible to separate the other varieties but its proportion is not significant, less than 1%. A first estimation of the zone of La Albufera gives overall results of culture of the variety Sequial higher than those supplied by the local public institutions. The results are partially obscured by the different degree of maturation of the varieties. We understand that a more complete treatment of the measurements (for example, of principal components [Richards, 1984]) in an image corresponding to the maturation phase, could give a separation between the varieties Bahia and Sequial. We are trying now to locate test parcels (those of which inventary does not exist) to be able to evaluate the results of principal components analysis. 4. REFERENCES Atkinson, P., Cushnie, J.L.,Townshend, J.R.G. & Wilson, A. 1985. Improving Thematic Mapper land cover classification using filtered data. Int. J. Remote Sensing,Vol. 6, № 6, 955 - 961. Berg, A. & Paretesi, S. G. de, 1980. Some significant results of a remote sensing experiment under European conditions (Agreste Project).Int. J. Remote Sensing, i, 3. Commission des Communautés Européenes (CCE). Etablissement d'Ispra, 1982 - 1984. Prévision des 7th AUGUST B A N D 4 120 . 118 • 116 ■ 114 • . o RUBINO 112 • 110 • . o UDO 108 - 106 ■ . o BAHIA 104 ■ 102 • 100 • 1 1 1— PIERINA o o SEQUIAL h 1 1 1 1 1 54 55 56 57 58 59 60 61 62 63 64 BAND 5 Figure 5. Spectral response, in bands 4 (B4) and 5 (B5) of several rice varieties, in digital counts (DC). productions rizicolespar télédétection dans le bassin du Niger en amount du Delta Central Nigérien. Project F. E. D. № 4507.03397.32. Commission des Communautés Européenes (CCE). Etablissement d'Ispra, 1978. Agreste Project: Agricultural resources investigations in northern Italy and southern France. Patel, W. K., Singh, T. P., Balder Saha & Patel, M. S.,1985. Spectral response of rice crop and its relation to yield and yield atributes. Int. J. Remote Sensing,Vol. 6, № 5, 657 - 664. Richards, J. A., 1984. Thematic mapping from multitemporal image data using the principal components transformation. Remote Sensing of Environment, 16: 35 - 46. Toll, D. L., 1985. Effect of Landsat Thematic Mapper sensor parameters on land cover classification. Remote Sensing of Environment 17: 129 - 140. ACKNOWLEDGMENTS We would like to thank EARTHNET - NPOC SPAIN for supplying the Landsat 5 (TM) tapes and the FEDERACION DE AGRICULTORES ARROCEROS DE ESPAÑA for their assessment.

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