Estimation of urban tree canopy volume using airborne LiDAR data and remote sensing imagery: A case study on the NCKU campus

28th Asian Conference on Remote Sensing 2007, ACRS 2007

Volumn 3, Issue , 2007, Pages 1559-1564

  Hsiao, Chun Yi ^a   Tseng, Yi Hsing ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Airborne LiDAR; Canopy height model; Tree canopy volume; Tree height

Indexed keywords

AIRBORNE LIDAR; AIRBORNE LIDAR DATA; CANOPY HEIGHT MODELS; FOLIAGE DENSITY; LIDAR DATA; LIGHT DETECTION AND RANGING; MULTI-SPECTRAL IMAGERY; NATIONAL CHENG-KUNG UNIVERSITY; REMOTE SENSING IMAGERY; STUDY SITES; TREE CANOPY; TREE HEIGHT; URBAN AREAS; URBAN ENVIRONMENTS; URBAN SETTINGS; URBAN TREES;

ESTIMATION; OPTICAL RADAR; REMOTE SENSING; TREES (MATHEMATICS);

FORESTRY;

EID: 84865644157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Handa, M. and Teshirogi, J., 2002. Urban forest for global warming prevention - Towards sustainable community -. Urban Green Technology, 47, pp.17-21.
2. Lefsky, M. A., 1999. Lidar remote sensing of the canopy structure and biophysical properties of Douglas-fir western hemlock forests. Remote Sensing of Environment, 70, pp.339-361
3. Naesset, E., 1997. Determination of mean tree height of forest stands using airborne laser scanner data. ISPRS Journal of Photogrammetry and Remote Sensing, 52, pp.49-56.
4. Yamagata, Y., Oguma, H., Sekine, H. and Tsuchida, S., 2002. The role of remote sensing for monitoring the carbon sink activities. Journal of the Remote Sensing Society of Japan, 22(5), pp.494-509.