Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems
This paper describes applications of non-parametric and parametric methods for estimating
forest growing stock volume using Landsat images on the basis of data measured in the …
forest growing stock volume using Landsat images on the basis of data measured in the …
[HTML][HTML] Assessment of the impacts of clear-cutting on soil loss by water erosion in Italian forests: First comprehensive monitoring and modelling approach
As a member of the European Union, Italy has committed to the maintenance and protection
of its forests based on sustainable forest development and management practices …
of its forests based on sustainable forest development and management practices …
Estimation of Mediterranean forest attributes by the application of k‐NN procedures to multitemporal Landsat ETM+ images
Routine applications of nonparametric estimation methods to satellite data for assisting the
creation of forest inventories in Northern European countries are stimulating interest in the …
creation of forest inventories in Northern European countries are stimulating interest in the …
A Levenberg–Marquardt backpropagation neural network for predicting forest growing stock based on the least-squares equation fitting parameters
R Zhou, D Wu, L Fang, A Xu, X Lou - Forests, 2018 - mdpi.com
Traditional field surveys are expensive, time-consuming, laborious, and difficult to perform,
especially in mountainous and dense forests, which imposes a burden on forest …
especially in mountainous and dense forests, which imposes a burden on forest …
Detection of harvested forest areas in Italy using Landsat imagery
This study presents a thorough approach, based on the application of multi-spectral remote
sensing Landsat imagery, to determine human-induced forest cover change in Italy during …
sensing Landsat imagery, to determine human-induced forest cover change in Italy during …
[HTML][HTML] Landscape Dynamics, Succession, and Forecasts of Cunninghamia lanceolata in the Central Producing Regions of China
Z Liu, Y Zhong, Z Chen, J Wei, D Li, S Zhang - Forests, 2024 - mdpi.com
Cunninghamia lanceolata (Lamb.) Hook accounts for 12% of the total forest area in southern
China, second only to Masson pine forests, and is an important part of the forest landscape …
China, second only to Masson pine forests, and is an important part of the forest landscape …
[PDF][PDF] Efficient estimation of forest attributes with k NN
A Čabaravdić - 2007 - freidok.uni-freiburg.de
Rapid changes of global forests led to considering intensive research related to all aspects
of forest resources (productive, protective, ecological and social). Recently, the very …
of forest resources (productive, protective, ecological and social). Recently, the very …
Earth observation techniques and geographic information systems as tools for assessing land use/cover changes in a landscape context.
This paper discusses the use of remote sensing and geographic information system
techniques for the evaluation of land use/cover changes, examination of different landscape …
techniques for the evaluation of land use/cover changes, examination of different landscape …
[HTML][HTML] Confronto di metodi parametrici e non-parametrici per la spazializzazione della provvigione legnosa tramite integrazione di misure a terra, dati telerilevati e …
The use of remotely sensed data for forest inventory and monitoring of natural resources is
ever increasing. Distinctively, remotely sensed data, integrated with ancillary data, can be …
ever increasing. Distinctively, remotely sensed data, integrated with ancillary data, can be …
Weighted functions in the k-NN estimates of growing stock in high forest in Bosnia
A Čabaravdić, DR Pelz, G Chirici… - Radovi Šumarskog …, 2011 - radovi.sfsa.unsa.ba
Last decades permanent researches clarify possibilities for forest resource estimation based
on terrestrial measurement and remote sensing. The most often the nonparametrical k-NN …
on terrestrial measurement and remote sensing. The most often the nonparametrical k-NN …