
Detection of urban tree canopy from very high resolution imagery using an object based classification
Author(s) -
Sujata Kadu,
B. G. Hogade,
Imdad Rizvi
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i4.pp3665-3673
Subject(s) - canopy , tree canopy , urban forest , tree (set theory) , remote sensing , vegetation (pathology) , urban forestry , crown (dentistry) , urban heat island , population , cohen's kappa , geography , environmental science , forestry , mathematics , statistics , meteorology , medicine , mathematical analysis , demography , archaeology , dentistry , pathology , sociology