Species-related single dead tree detection using multi-temporal ALS data and CIR imagery

Remote Sensing of Environment

Volumn 219, Issue , 2018, Pages 31-43

  Kamińska, Agnieszka ^a   Lisiewicz, Maciej ^a   Stereńczak, Krzysztof ^a   Kraszewski, Bartłomiej ^a   Sadkowski, Rafał ^a  

^a FOREST RESEARCH INSTITUTE   (Poland)

Author keywords

Airborne laser scanning (ALS); Color infrared (CIR) aerial images; Individual dead tree; Multi temporal data; Random forest (RF)

Indexed keywords

AERIAL PHOTOGRAPHY; ANTENNAS; BIODIVERSITY; DATA INTEGRATION; DECISION TREES; FORESTRY; GREEN COMPUTING; LASER APPLICATIONS; REMOTE SENSING; STATISTICAL METHODS;

AERIAL IMAGES; AIRBORNE LASER SCANNING; DEAD TREES; MULTI-TEMPORAL DATA; RANDOM FORESTS;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; DATA SET; DETECTION METHOD; ECOSYSTEM HEALTH; INDIVIDUAL VARIATION; INFRARED IMAGERY; LASER METHOD; REMOTE SENSING; TREE;

BIALOWIEZA FOREST;

PICEA;

EID: 85054435816     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2018.10.005     Document Type: Article

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