Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

Damen, M. C. J.

Bibliographic data

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:: An evaluation of different green vegetation indices for wheat yield forecasting. A. Giovacchini

Document type:: Multivolume work

Structure type:: Chapter

266 % of variance between field of the index values Table 1. Vegetation .indices. VEGETATION INDEX . ACR0N0M0US 1 1 BANDS AND CALCULATION l|2 1 RATIO R 1 1 IR/R 1 1 1 1 1 SQUARE RATIO 1 SOR 1 Vir/r 1 § 1 LOG RATIO Log R 1 1 Log IR/R 1 1 NORMALIZED DIFFERENCES ND 1 1 (IR-R)/(IR.R).0.5 1 1 iOuj I | TRANSF. VEGETATION | INDEX T.V.I. 1 1 V(IR-R)/(IR+R)+0.5 | GREENNESS 1 1 Greenness 1 1 1 1 -aG-bR+cRIR+dIR l! 1 PERPENDICULAR VEGET. INDEX 1 P.V.I. 1 1 1 V(R -R ) 2 . (IR .1R ) 2 S V S V lisi DIFFERENCES G 1 1 IR - R 11 1 | DIFFERENCES-DIFFEREN | CES ! 00 (IR-RIR) 2 - (R-G) 2 1 s 1 1 s 1 G ■ green; R « red; RIR - red and i frar ed; IR « near infrared % green vegetation cover plotted against calendar days . vegetation index-values ( ) and % of variance against calendar days ( ). Table II. Coefficient of correlation between vegeta tion index values and final grain yield versus diffe rent phenological stages. tation indices. maximum correlation between spectral vegetation values and final grain yield, belong to the perpendicular and normalized family indices. From flowering to the end of mulky-maturity phase, the maximum correlation is related to vegetation indices based on the difference concept. Before harvest, that is at the physiological maturity, all the indices considered in this study show the same correlation values. The results obtained point out that it is necessary to adopt different vegetation indices at specific phenological stages, if the maximum correlation values have to be exploited to forecast wheat yield by means of remote sensing data. This fact can be explained by observing Figures 1 and 2. In Fig. 1 three spectral profiles and the trend of the % of the soil vegetation cover are plotted against seven phenological stages. As can be observed, the ratio profile function (R) is more sensitive to the percentage of soil vegetation cover than the Greenness and Normalized functions (Greenness, ND). This fact is more evident in proximity of the maximum soil vegetation cover. That corresponds approximately to the heading phase. Since the soil vegetation cover is correlated with the leaf area index of the wheat (at least for soil vegetation cover 85%) and the LAI at the heading is strongly correlated with the final grain yield (if a normal climatic and environmental condition is

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