Unmanned aerial vehicles (UAV)-based canopy height modeling under leaf-on and leaf-off conditions for determining tree height and crown diameter (case study …
Tree height and crown diameter are two common individual tree attributes that can be
estimated from unmanned aerial vehicle (UAV) images thanks to photogrammetry and …
estimated from unmanned aerial vehicle (UAV) images thanks to photogrammetry and …
Remote sensing for the Spanish forests in the 21st century: A review of advances, needs, and opportunities
[EN] Forest ecosystems provide a host of services and societal benefits, including carbon
storage, habitat for fauna, recreation, and provision of wood or non-wood products. In a …
storage, habitat for fauna, recreation, and provision of wood or non-wood products. In a …
[HTML][HTML] Wall-to-wall spatial prediction of growing stock volume based on Italian National Forest Inventory plots and remotely sensed data
G Chirici, F Giannetti, RE McRoberts… - International Journal of …, 2020 - Elsevier
Spatial predictions of forest variables are required for supporting modern national and sub-
national forest planning strategies, especially in the framework of a climate change scenario …
national forest planning strategies, especially in the framework of a climate change scenario …
[HTML][HTML] Comparison of two-dimensional multitemporal Sentinel-2 data with three-dimensional remote sensing data sources for forest inventory parameter estimation …
Abstract National Forest Inventories (NFI) are key data and tools to better understand the
role of forests in the global carbon budget. Traditionally inventories have been carried out as …
role of forests in the global carbon budget. Traditionally inventories have been carried out as …
Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data
J Guerra-Hernández, S Arellano-Pérez… - Forest Ecology and …, 2021 - Elsevier
Site index (SI) is a common measure of forest site productivity, serving as a valuable
baseline for forest management. The main objective of this study was to develop a SI model …
baseline for forest management. The main objective of this study was to develop a SI model …
[HTML][HTML] Combining TanDEM-X and Sentinel-2 for large-area species-wise prediction of forest biomass and volume
HJ Persson, J Jonzen, M Nilsson - International Journal of Applied Earth …, 2021 - Elsevier
In this study, data from the satellite sensors TanDEM-X and Sentinel-2 were combined with
national field inventory data to predict forest above-ground biomass (AGB) and stem volume …
national field inventory data to predict forest above-ground biomass (AGB) and stem volume …
[HTML][HTML] Postfire damage zoning with open low-density LiDAR data sources in semi-arid forests of the Iberian Peninsula
E Peña-Molina, D Moya, JL Tomé, E Marino… - Remote Sensing …, 2024 - Elsevier
Wildfires represent one of the major ecological disasters with significant repercussions for
terrestrial ecosystems (loss of biodiversity, material damages, erosion, etc). Using LiDAR …
terrestrial ecosystems (loss of biodiversity, material damages, erosion, etc). Using LiDAR …
Improving aboveground forest biomass maps: from high-resolution to national scale
P Durante, S Martín-Alcón, A Gil-Tena, N Algeet… - Remote sensing, 2019 - mdpi.com
Forest aboveground biomass (AGB) estimation over large extents and high temporal
resolution is crucial in managing Mediterranean forest ecosystems, which have been …
resolution is crucial in managing Mediterranean forest ecosystems, which have been …
Accuracy assessment of DEMs derived from multiple SAR data using the InSAR technique
In this study, digital elevation models (DEMs) derived from AlosPalsar data (Japanese
Space Agency—JAXA), Sentinel-1A data, and Envisat ASAR data (European Space Agency …
Space Agency—JAXA), Sentinel-1A data, and Envisat ASAR data (European Space Agency …
Integration of national forest inventory and nationwide airborne laser scanning data to improve forest yield predictions in north-western Spain
A Novo-Fernández, M Barrio-Anta, C Recondo… - Remote Sensing, 2019 - mdpi.com
The prediction of growing stock volume is one of the commonest applications of remote
sensing to support the sustainable management of forest ecosystems. In this study, we used …
sensing to support the sustainable management of forest ecosystems. In this study, we used …