Results 41 to 50 of about 65,050 (262)

Adaptive Forests For Classification

CoRR
Under review at ...
Dimitris Bertsimas, Yubing Cui
openaire   +2 more sources

Boreal forest biomass classification with TanDEM-X

, 2012
High spatial resolution X-band interferometric SAR data from the TanDEM-X, in the operational DEM generation mode, are sensitive to forest structure and can therefore be used for thematic boreal forest classification of forest environments.
Kostas Papathanassiou, Papathanassiou, Kostas, Torano Caicoya, Astor, Hajnsek, Irena, Florian Kugler, Astor Torano Caicoya, Kugler, Florian, Irena Hajnsek   +7 more
core   +1 more source

European Forest Types: toward an automated classification [PDF]

, 2018
Key message: The outcome of the present study leads to the application of a spatially explicit rule-based expert system (RBES) algorithm aimed at automatically classifying forest areas according to the European Forest Types (EFT) system of nomenclature ...
Davide Travaglini, Annemarie Bastrup-Birk, Canullo, Roberto, Francesca Giannetti, Travaglini, Davide, Mancini, Leone Davide, Leone Davide Mancini, Giannetti, Francesca, Anna Barbati, Chirici, Gherardo, Barbati, Anna, Bastrup-Birk, Annemarie, Nocentini, Susanna, Roberto Canullo, Gherardo Chirici, Susanna Nocentini   +15 more
core   +1 more source

Determination Of Stratification Boundary For Forest And Non Forest Multitemporal Classification To Support Redd In Sumatera Islan

, 2013
Multi-temporal classification is a method to determine forest and non-forest by considering a missing data, such as cloud cover using correlations value from the other data. This circumstances is frequently occured in a tropical area such as in Indonesia.
Tatik Kartika, Trisakti, Bambang, Sari, Inggit Lolita, Inggit Lolita Sari, Kartika, Tatik, Bambang Trisakti   +5 more
core   +1 more source

Improved Identification of Forest Types in the Loess Plateau Using Multi-Source Remote Sensing Data, Transfer Learning, and Neural Residual Networks

Remote Sensing
This study aims to establish a deep learning-based classification framework to efficiently and rapidly distinguish between coniferous and broadleaf forests across the Loess Plateau.
Mei Zhang, Daihao Yin, Zhen Li, Zhong Zhao   +3 more
doaj   +1 more source

FOREST SPECIES CLASSIFICATION BASED ON THREE-DIMENSIONAL COORDINATE AND INTENSITY INFORMATION OF AIRBORNE LIDAR DATA WITH RANDOM FOREST METHOD [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Forest species is a basic parameter of forest ecosystem. The accurate identification of forest species can not only improve the estimation accuracy of other forest structural parameters, but also have important significance for forest resource monitoring
H. T. You, P. Lei, M. S. Li, F. Q. Ruan
doaj   +1 more source

Application of a niche-based model for forest cover classification

, 2012
In recent years, a surge of interest in biodiversity conservation have led to the development of new approaches to facilitate ecologically-based conservation policies and management plans.
Amici V, Marcantonio M, Geri F
core   +1 more source

Remote sensing methods for estimating tree species of forests in the Volyn region, Ukraine

Frontiers in Forests and Global Change, 2023
Forest classification is needed to solve a wide range of environmental issues related to of forest classes and succession processes, the extent of afforestation and deforestation and global environmental change. These applications require a very accurate
Oleksandr Melnyk, Pavlo Manko, Pavlo Manko, Ansgar Brunn   +3 more
doaj   +1 more source

Regional-Scale Forest Mapping over Fragmented Landscapes Using Global Forest Products and Landsat Time Series Classification

, 2020
Satellite imagery of 25–30 m spatial resolution has been recognized as an effective tool for monitoring the spatial and temporal dynamics of forest cover at different scales.
Mykola Kutia, Shuguang Liu, Viktor Myroniuk, Arbi J. Sarkissian, Andrii Bilous   +4 more
core   +1 more source

Tree Species Classification of Forest Stands Using Multisource Remote Sensing Data

, 2021
The spatial distribution of forest stands is one of the fundamental properties of forests. Timely and accurately obtained stand distribution can help people better understand, manage, and utilize forests.
Linhai Jing, Hui Li, Haoming Wan, Yunwei Tang, Fang Qiu, Wenjin Wu   +5 more
core   +1 more source