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:: The use of multispectral photography in agricultural research. J. G. P. W. Clevers

Document type:: Multivolume work

Structure type:: Chapter

INFRARED REFL. (X) FIELD TRIAL 92 in 1982 Figure 5: Seasonal change in infrared reflectance as a function of fungicide treatment (FO and FI) for two sowing densities (SI and S2). Field trial 92 in 1982. Figure 6: Seasonal change in infrared reflectance for field trial 92 in 1983. INFRARED REFL. (X) FIELD TRIAL 95 in 1983 10 Sso 200 250 300 DAYS AFTER SOWING Figure 7: Seasonal change in infrared reflectance for field trial 95 in 1983. explanation. Moreover, the same phenomenon could be observed in field trial 116 in 1982 (figure 2). Probably an increased influence of soil background because of the wilting and even the dropping of dead leaves at the end of the growing season was respon sible for this decrease in reflectance. Both in field trials 116 in 1982 and in 1983 ef fects of nitrogen nutrition were most pronounced for the infrared reflectance. In general, Clevers (1986b) showed that treatment effects could be as certained with largest power by means of the infra red reflectance. Therefore, only results for the infrared reflectance will be presented for field trial 92 in 1982 and field trials 92 and 95 in 1983. Treatment effects for plots with and without fun gicide treatment and for two sowing densities in field trial 92 in 1982 and in field trials 92 and 95 in 1983 are illustrated in figures 5, 6 and 7, respectively. In all three field trials the effect of the fungicide treatment was significant, posi tive, at the end of the growing season. The sowing density effect, in general, was evident up to the end of the growing season and then was overruled by the fungicide treatment effect. 3.2 Estimation of LAI For estimating LAI a corrected infrared reflectance was calculated by subtracting the contribution of the soil from the measured reflectance as described by Clevers (1986b). For estimating LAI the growing season was subdivided into two stages: vegetative and generative. First, the corrected infrared re flectance was calculated by taking the difference between infrared and red reflectance. Subsequently this corrected infrared reflectance was used for estimating LAI according to the inverse of a special case of the Mitscherlich function. For this latter regression two parameters had to be estimated, which are different in the two stages. The inversion prob lem was solved in an empirical way. For the vege tative and the generative stages the regression of LAI on corrected infrared reflectance was described reasonably in all field trials by using this func tion. This is illustrated in figures 8 and 9 (see Clevers, 1986b, for details). In practice, the re gression function of LAI on corrected infrared re flectance can be established by analysing a training set of a few (additional) plots, in which both re flectances and LAI are ascertained. Subsequently, this regression function can be applied for estima ting LAI in an entire field trial (Clevers, 1986b). Results for field trial 116 in 1983 are analysed further since soil moisture content varied signif icantly during the beginning of the growing season (see figure 4). Results of the corrected infrared reflectance are given in figure 10. The influence of soil moisture content at the beginning of the growing season has been eliminated (cf. red and Figure 8: Regression of LAI on corrected infrared reflectance. Field trial 116, vegetative stage, 1982 Figure 9: Regression of LAI on corrected infrared reflectance. Field trial 116, generative stage, 1982

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