Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 12860
Title Radar remote sensing data for applications in forestry
Author(s) Hoekman, D.H.
Source Agricultural University. Promotor(en): M. Molenaar; L. Krul. - S.l. : Hoekman - 275
Department(s) Laboratory of Geo-information Science and Remote Sensing
Publication type Dissertation, internally prepared
Publication year 1990
Keyword(s) remote sensing - radar - bosinventarisaties - exploratie - karteringen - bosbouw - fotogrammetrie - luchtfotografie - technieken - bosopstanden - remote sensing - radar - forest inventories - exploration - surveys - forestry - photogrammetry - aerial photography - techniques - forest stands
Categories Remote Sensing
Abstract

This thesis describes an investigation into the applications of radar remote sensing in forestry. During a four-year period (1982-1985), an extensive set of radar data was acquired at four test sites with forest plantations in The Netherlands: the Roggebotzand and Horsterwold sites at Flevoland and the Speulderbos and Kootwijk sites at The Veluwe. Two systems were deployed: a digital X-band SLAR and the multiband airborne scatterometer Dutscat. The thesis includes a description of these systems and the radar signal properties. Results of radar signature, transmissivity and canopy probing measurements are described. After discussing the physical properties of the radar data, the use of spatial analysis techniques is evaluated and the potential applications of radar data for classification and biophysical parameter estimation are elaborated. The thesis concludes with a conceptual elaboration of processing and data interpretation strategies.

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