Zobrazeno 1 - 10
of 953
pro vyhledávání: '"TREE DETECTION"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 6, Pp 2162-2178 (2024)
Individual Tree Detection-and-Counting (ITDC) is among the important tasks in town areas, and numerous methods are proposed in this direction. Despite their many advantages, still, the proposed methods are inadequate to provide robust results because
Externí odkaz:
https://doaj.org/article/cd3cd0209f9547dda8a79f0c76b24e03
Publikováno v:
iForest - Biogeosciences and Forestry, Vol 17, Iss 1, Pp 269-276 (2024)
Personal laser scanning (PLS) systems are gaining popularity in forest inventory research and practice. They are primarily utilized on circular or compact rectangular sample plots to mitigate potential instrument drift and enhance tree detection rate
Externí odkaz:
https://doaj.org/article/17598373dc884134957cf54b11dd1c0c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract We present an open access dataset for development, evaluation, and comparison of algorithms for individual tree detection in dense mixed forests. The dataset consists of a detailed field inventory and overlapping UAV LiDAR and RGB orthophoto
Externí odkaz:
https://doaj.org/article/b27a082fb1544e2a8854647c881fd625
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
Mediterranean forests of Aleppo pine (Pinus halepensis Mill.) have a crucial role in climate change, as they are extremely adaptive and provide valuable timber or carbon stocks. However, greater detail quantifying those attributes is needed: although
Externí odkaz:
https://doaj.org/article/613f39a48f2c451e9961649ca9c1fd55
Publikováno v:
African Journal on Land Policy and Geospatial Sciences, Vol 7, Iss 5 (2024)
Context and background Inventories of natural resources especially those of trees allow to make a systematic collection of information of existing trees in a given area. It therefore plays a crucial role in various fields such as forestry, forest
Externí odkaz:
https://doaj.org/article/107c3e26893f48ca8815f60bbff6d241
Publikováno v:
Ecological Indicators, Vol 167, Iss , Pp 112710- (2024)
Canopy cover (CC) is the proportion of a forest floor covered by the vertical projection of tree crowns. Recently, it has become common to utilize LiDAR (light detection and ranging) canopy metrics to estimate CC over large areas. However, these metr
Externí odkaz:
https://doaj.org/article/66eddc41081542e48e47c8155393e058
Publikováno v:
Robotic Intelligence and Automation, 2024, Vol. 44, Issue 1, pp. 131-151.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-05-2023-0068
Autor:
Yongzhu Xiong, Xiaofeng Zeng, Weiqian Lai, Jiawen Liao, Yankui Chen, Mingyong Zhu, Kekun Huang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7554-7576 (2024)
The location and number of individual fruit trees (IFTs) are critical for investigations on planting areas, fruit yield predictions, and smart orchard planning and management. These data are conventionally obtained through manual and statistical inve
Externí odkaz:
https://doaj.org/article/c540c945c3bc4b7292ca485ef85ce1bb
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4166 (2024)
The European spruce bark beetle is a major disturbance agent in Norway spruce forests in Europe, and with a changing climate it is predicted that damage will increase. To prevent the bark beetle population buildup, and to limit further spread during
Externí odkaz:
https://doaj.org/article/a103ab591f4f45a18edc7f9353b78966
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3974 (2024)
Three raster-based (RB) and one point cloud-based (PCB) algorithms were tested to segment individual Aleppo pine trees and extract their tree height (H) and crown diameter (CD) using two types of point clouds generated from two different techniques:
Externí odkaz:
https://doaj.org/article/72391f1aa5a645baa5c1a07332eea284