Untersuchungen zur Beurteilung der Vitalität von Fichten anhand multispektraler Scannerdaten

Translated title of the contribution: Investigations on diagnosing the vitality of spruces using multispectral scanner data

Barbara Koch, U. Ammer, G. Kritikos, D. Kübler

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The paper presents first results of a damage inventory based on multispectral scanner data. The data acquisition took place in a forested region on the plain lower gravel-terrace southeast of Munich using a modified 11-channel Bendix scanner including two thematic mapper channels in the middle infrared range. The signature analyses on spruces showed, in the visible as well as in the near and middle infrared range, a high correlation between reflection values and the vitality (damage) of the trees. Comparable results were obtained for spruce stands measured from different altitudes. Sufficient examinations on pine are still missing; however, the first results indicate similar effects as noticed with spruce. Besides, understory vegetation showed a strong influence on the reflection behaviour of stands. This effect was unexpectedly high in more open stands and therefore often masked the characteristic signature of damaged or mature stands. The investigations on the thermal infrared range showed, for the examined clumps of spruce, no distinct differences between damaged and healthy stands. Within the supervised test area classification corresponded with the results of the IRC-airphotograph damage evaluation.

Translated title of the contributionInvestigations on diagnosing the vitality of spruces using multispectral scanner data
Original languageGerman
Pages (from-to)214-231
Number of pages18
JournalForstwissenschaftliches Centralblatt
Volume103
Issue number1
DOIs
StatePublished - Dec 1984
Externally publishedYes

Fingerprint

Dive into the research topics of 'Investigations on diagnosing the vitality of spruces using multispectral scanner data'. Together they form a unique fingerprint.

Cite this