PROCESS-BASED APROACH TO AUTOMATED CLASSIFICATION OF FOREST STRUCTURES USING MEDIUM FORMAT DIGITAL AERIAL PHOTOS AND ANCILLARY GIS INFORMATION

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F08%3A23592" target="_blank" >RIV/60460709:41320/08:23592 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

PROCESS-BASED APROACH TO AUTOMATED CLASSIFICATION OF FOREST STRUCTURES USING MEDIUM FORMAT DIGITAL AERIAL PHOTOS AND ANCILLARY GIS INFORMATION

Original language description

The methods of forest inventory data acquisition, based on the analysis of remotely sensed images have been well tested and implemented during the last decade. The predominantly visual interpretation and pixel-based automated techniques are now being gradually replaced by the object-based image classification at multiple levels. This paper describes an experiment using medium-format digital aerial imagery for purpose of automated updating of the existing GIS forest management database (LHPO). The methodemphasizes the pre-processing phase, where various image transforms and additional channels i.e. spectral ratios and vegetation indices (NDVI), low-pass filters, Sobel edge and GLCM (grey level co-occurrence matrix) texture measures are derived from theoriginal dataset. The layer stack is then transferred into the object-oriented classification environment together with the existing thematic vector layer, and analysed on three hierarchical object levels. The classification involves the

Czech name

PROCESNÍ PŘÍSTUP K AUTOMATIZOVANÉ KLASIFIKACI LESNÍCH POROSTŮ S VYUŽITÍM STŘEDO-FORMÁTOVÝCH DIGITÁLNÍCH LETECKÝCH SNÍMKŮ A PODPŮRNÉ INFORMACE GIS

Czech description

The methods of forest inventory data acquisition, based on the analysis of remotely sensed images have been well tested and implemented during the last decade. The predominantly visual interpretation and pixel-based automated techniques are now being gradually replaced by the object-based image classification at multiple levels. This paper describes an experiment using medium-format digital aerial imagery for purpose of automated updating of the existing GIS forest management database (LHPO). The methodemphasizes the pre-processing phase, where various image transforms and additional channels i.e. spectral ratios and vegetation indices (NDVI), low-pass filters, Sobel edge and GLCM (grey level co-occurrence matrix) texture measures are derived from theoriginal dataset. The layer stack is then transferred into the object-oriented classification environment together with the existing thematic vector layer, and analysed on three hierarchical object levels. The classification involves the

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

GK - Forestry

OECD FORD branch

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Project

<a href="/en/project/QG50097" target="_blank" >QG50097: Automated classification of colour aerial photographs using eCognition Professional 4.0 software</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2008

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

European Journal of Forest Research

ISSN

1612-4669

e-ISSN

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Volume of the periodical

127

Issue of the periodical within the volume

2

Country of publishing house

DE - GERMANY

Number of pages

10

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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