Hugo Santos

@ulmi
249 Followers
91 Following
382 Posts
Crimson tree on a cold foggy morning
The perks of living in the silver coast...
RT @RemoteSens_MDPI
#remotesensing
📢#UAV-Based #LiDAR Scanning for Individual #TreeDetection and Height Measurement in Young Forest Permanent Trials by Francisco Rodríguez-Puerta, Esteban Gómez-García, Saray Martín-García, Fernando Pérez-Rodríguez and Eva Prada
👉 https://www.mdpi.com/2072-4292/14/1/170
UAV-Based LiDAR Scanning for Individual Tree Detection and Height Measurement in Young Forest Permanent Trials

The installation of research or permanent plots is a very common task in growth and forest yield research. At young ages, tree height is the most commonly measured variable, so the location of individuals is necessary when repeated measures are taken and if spatial analysis is required. Identifying the coordinates of individual trees and re-measuring the height of all trees is difficult and particularly costly (in time and money). The data used comes from three Pinus pinaster Ait. and three Pinus radiata D. Don plantations of 0.8 ha, with an age ranging between 2 and 5 years and mean heights between 1 and 5 m. Five individual tree detection (ITD) methods are evaluated, based on the Canopy Height Model (CHM), where the height of each tree is identified, and its crown is segmented. Three CHM resolutions are used for each method. All algorithms used for individual tree detection (ITD) tend to underestimate the number of trees. The best results are obtained with the R package, ForestTools and rLiDAR. The best CHM resolution for identifying trees was always 10 cm. We did not detect any differences in the relative error (RE) between Pinus pinaster and Pinus radiata. We found a pattern in the ITD depending on the height of the trees to be detected: the accuracy is lower when detecting trees less than 1 m high than when detecting larger trees (RE close to 12% versus 1% for taller trees). Regarding the estimation of tree height, we can conclude that the use of the CHM to estimate height tends to underestimate its value, while the use of the point cloud presents practically unbiased results. The stakeout of forestry research plots and the re-measurement of individual tree heights is an operation that can be performed by UAV-based LiDAR scanning sensors. The individual geolocation of each tree and the measurement of heights versus pole and/or hypsometer measurement is highly accurate and cost-effective, especially when tree height reaches 1–1.5 m.

MDPI
RT @stereossauro
Parabéns mestre Carlos Paredes
16 de fevereiro 1925
đź‘‘
Industrial Art News – Vol. 33, No. 2, 1965 - Design Reviewed

Design Reviewed
Afternoon tea or high tea...
RT @wessiedutoit
This year we celebrate the 90th anniversary of what is probably mankind's greatest ever invention.
RT @AlexNetoGeo
I'm glad to announce that #QGIS 3.28.3 packages on @condaforge now include native builds for Mac OS arm64 (aka M1) and Linux aarch64.
This was possible because of the amazing work of the conda-forge maintainers. If you have a M1, give it a try and let us now how it went!!
RT @Number10cat
They should put this on stamp.
(Photo @LightHackers)