Correcting the Results of CHM-Based Individual Tree Detection Algorithms to Improve Their Accuracy and Reliability

Individual tree detection algorithms (ITD) are used to obtain accurate information about trees. Following the process of individual tree detection, it is possible to use additional processing tools to determine tree parameters such as tree height, crown base height, crown volume, or stem volume. How...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 14; no. 8; p. 1822
Main Authors:	Lisiewicz, Maciej, Kamińska, Agnieszka, Kraszewski, Bartłomiej, Stereńczak, Krzysztof
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.04.2022
Subjects:	Accuracy airborne laser scanning (ALS) Algorithms canopy height model (CHM) error correction Errors Forest communities Forestry Forests individual tree detection (ITD) Methods Mixed forests over-segmentation Parameters Plant species Remote sensing Segmentation Segments Stand structure Trees under-segmentation Poland
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
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