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

299 TVI-values; ation of plot = signifi- sampies amples in amples in- IA3 IA4 hs hs hs hs hs hs s hs ” ns hs hs hs hs hs hs ns ns - ns hs hs hs hs hs hs hs hs “ ns From our point ay of comparing which one ences in TVI B we see that lot, the MSS e difference MSS measure- It is only given field better sig- 3 is 'highly ifferent points at the per- int of view, however, true y, one can e 23,305 m^ of nd TM 7 p-specific shed. IGNIFICANT ;nificant dif- ed the means of a large 'ith the MSS .%, significant :se percentages irge relative ir these differ- mt or signifi cant after the proper significance test. Let us now take this 4% as an approximate indica tion of the relative change in TVI which will be assessed as not significant. We have then to estab lish whether we can measure TVI with this accuracy. The nominal radiometric accuracy of TM measurements is 0.5% on reflectance. So we can calculate the nominal accuracy on TVI by means of error analysis of the formula defining this vegetation index. This results in a 0.2% nominal accuracy. We can, therefore, conclude that we can in prin ciple measure significant differences in TVI-values with satisfactory accuracy. Actual radiometric accuracy of TM is, however, quite different from nominal, If, for example, we take the results of Slater (1986), accuracy on re flectances is 0.5 in TM 3 and 1.7 in TM 4 at visibil ity greater than 10 km. Accuracy on TVI will there fore be 0.2% which confirms the nominal value. It must finally be stressed that the multitemporal analysis of satellite images requires that the basic digital count values be transformed into reflectance values (Menenti 1984, Kuipers and Menenti 1986). Furthermore measurements on different overpass dates have to be corrected for atmospheric effects or at least normalized with each other by taking one of the images as a reference. metrization of land-surface characteristics, use of satellite data in climate studies and first results of ISLSCP. ESA SP-248. Menenti, M. 1984. Physical aspects and determination of evaporation in deserts applying remote sensing techniques. Report ns 10 (special issue). Institute for Land and Water Management Research (ICW), Wa- geningen. 202 pp. Miller, G.P., M. Fuchs, M.J. Hall, G. Asrar, E.T. Kanemasu & D.E. Johnson 1984. Analysis of seasonal multispectral reflectances of small grains. Remote sensing of environment 14:153-167. Slater, P.N. 1986. Variations in in-flight absolute radiometric calibration. Proc. ISLSCP-conference on parametrization of land-surface characteristics, use of satellite data in climate studies and first results of ISLSCP. ESA SP-248. Steel, R.G. & J.H. Torrie 1960. Principles and procedures of statistics. New York, Me Graw-Hill. 481 pp. 6 CONCLUSIONS We conclude that differences in temporal and spectral patterns relating to crop phenology and intercropping can be obtained from LANDSAT measurements. Plots of 0.5 ha and 2 ha must be considered when applying TM and MSS measurements respectively. It is demonstrated that a multi-index multi-temporal crop discrimination scheme can be established for three rather different agricultural areas. Operational crop monitoring by satellites in a given region, however, is only feasible after such pre-operational investigations, as presented in this paper. REFERENCES Anderson, J.W. 1986. Remote sensing finds down-to- earth applications. Commercial Space. Azzali, S. 1985a. A multi-index multi-temporal ap proach to map crops in the early growing season. An application to two Italian irrigation districts: East Sesia and Grande Bonifica Ferrarese. Nota 1611. Institute for Land and Water Management Re search (ICW), Wageningen. 39 pp. Azzali, S. 1985b. Greenness and brightness formulae applicable to East Sesia and Grande Bonifica Fer rarese. Nota 1673. Institute for Land and Water Management Research (ICW), Wageningen. 32 pp. Azzali, S. 1986. Matching the analysis of LANDSAT data to users's requirements. Nota 1711. Institute for Land and Water Management Research (ICW), Wa geningen. 15 pp. Crist, E.P. 1984. Effects of cultural and environ mental factors on corn and soybean spectral devel opment patterns. Remote sensing of environment 14: 3-13. Hinzman, L.D., M.E. Bauer & C.S.T. Daughtry 1984. Growth and reflectance characteristics of winter wheat canopies. LARS Technical report 111484. 18 po. Jackson, R.D., P.N. Slater & P.J. Pinter 1983. Dis crimination of growth and water stress in wheat by various vegetation indices through clear and turbid atmospheres. Remote sensing of environment 13:187- 208. Kenney, J.F. & E.S. Keeping 1959. Mathematics of statistics. Part 2. Toronto, D. van Nostrand. 429 pp. Kuipers, H. & M. Menenti 1986. Groundwater--fed lakes in the Libyan desert as observed by means of LANDSAT MSS data. Proc. ISLSCP-conference on para-

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