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:: 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Identifying agricultural crops in radar images. P. Hoogeboom

Document type:: Multivolume work

Structure type:: Chapter

April and May). Figure 4 shows the development of the radar backscatter coefficient throughout the growing season for the 4 most important croptypes. Although the digital radar images have known intensity scales, an absolute calibration lacks in these measurements. Therefore the average backscatter coefficient of the sugarbeet fields was determined in the images and compared to calibrated ground based measurements, which were always taken at the same date and in the same area. The resulting correction factor was applied to the whole image. The data in figure 4 is for horizontal polarization and 15° grazing angle. The frequency is 9.4 GHz (X-band). Nowadays, a more direct approach to the calibration problem of the SLAR system is available. The radar is fitted with an internal delay line calibration. The radar data is calibrated in the PARES preprocessing phase (ref. 2). This algorithm takes care of the complete geometric and radiometric correction and calibration of the radar images. The calibration accuracy is in the order of 1 dB or better, as was tested with the aid of corner reflectors. From figure 4 it can be seen that a large contrast Figure 4. E the growing horizontal exists bet April and while all July a goo types, whe backscatte the one fo The larg croptypes low grazin the winter winter and other crop their biom ground covi backscatte because tb amount of ' leafs Stic' ably to tb angles say is much im is smaller between tb Thus we : winter- am May, and s: wintercrop identify a histogram t coefficienl figure it : be comp let« by applyinj Now that to classify This demons contrast wi (Ref. 1) wl scatter thr discriminat Sofar the ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■I

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