A survey of methods incorporating spatial information in image classification and spectral unmixing
Over the past decade, the incorporation of spatial information has drawn increasing attention
in multispectral and hyperspectral data analysis. In particular, the property of spatial …
in multispectral and hyperspectral data analysis. In particular, the property of spatial …
Vegetation biomass estimation with remote sensing: focus on forest and other wooded land over the Mediterranean ecosystem
Carbon sequestration service of Mediterranean forest and other wooded land is threatened
by their fragile, complex, and highly evolving nature, due to both human disturbances and …
by their fragile, complex, and highly evolving nature, due to both human disturbances and …
[HTML][HTML] A graph-based segmentation algorithm for tree crown extraction using airborne LiDAR data
VF Strîmbu, BM Strîmbu - ISPRS Journal of Photogrammetry and Remote …, 2015 - Elsevier
This work proposes a segmentation method that isolates individual tree crowns using
airborne LiDAR data. The proposed approach captures the topological structure of the forest …
airborne LiDAR data. The proposed approach captures the topological structure of the forest …
The potential of multifrequency SAR images for estimating forest biomass in Mediterranean areas
The extraction of forest information from SAR images is particularly complex in
Mediterranean areas, since they are characterized by high spatial fragmentation and …
Mediterranean areas, since they are characterized by high spatial fragmentation and …
Multi-layered tree crown extraction from LiDAR data using graph-based segmentation
T Dong, X Zhang, Z Ding, J Fan - Computers and electronics in agriculture, 2020 - Elsevier
With the development of Light Detection and Ranging (LiDAR) and Unmanned Aerial
Vehicle (UAV) technology, extracting tree crowns from LiDAR data and infering their …
Vehicle (UAV) technology, extracting tree crowns from LiDAR data and infering their …
[HTML][HTML] Benchmarking of Individual Tree Segmentation Methods in Mediterranean Forest Based on Point Clouds from Unmanned Aerial Vehicle Imagery and Low …
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 …
segment individual Aleppo pine trees and extract their tree height (H) and crown diameter …
Riparian ecosystems mapping at fine scale: a density approach based on multi‐temporal UAV photogrammetric point clouds
In recent years, numerous directives worldwide have addressed the conservation and
restoration of riparian corridors, activities that rely on continuous vegetation mapping to …
restoration of riparian corridors, activities that rely on continuous vegetation mapping to …
Individual tree detection from UAV imagery using Hölder exponent
This article explores the application of Hölder exponent analysis for the identification and
delineation of single tree crowns from very high-resolution (VHR) imagery captured by …
delineation of single tree crowns from very high-resolution (VHR) imagery captured by …
Combination of ground and remote sensing data to assess carbon stock changes in the main urban park of Florence
Optical and LiDAR datasets taken by airborne platforms are informative on important forest
attributes, and particularly on growing stock volume (GSV), which is related to woody …
attributes, and particularly on growing stock volume (GSV), which is related to woody …
Mapping woody volume of mediterranean forests by using sar and machine learning: A case study in central Italy
E Santi, M Chiesi, G Fontanelli, A Lapini, S Paloscia… - Remote Sensing, 2021 - mdpi.com
In this paper, multi-frequency synthetic aperture radar (SAR) data at L-and C-bands (ALOS
PALSAR and Envisat/ASAR) were used to estimate forest biomass in Tuscany, in Central …
PALSAR and Envisat/ASAR) were used to estimate forest biomass in Tuscany, in Central …