Results 31 to 40 of about 223,989 (265)

Farms or Forests? Understanding and Mapping Shifting Cultivation Using the Case Study of West Garo Hills, India

Land, 2019
Attempts to study shifting cultivation landscapes are fundamentally impeded by the difficulty in mapping and distinguishing shifting cultivation, settled farms and forests.
Amit John Kurien, Sharachchandra Lele, Harini Nagendra   +2 more
doaj   +1 more source

Adaptive Forests For Classification

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

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

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

Learning Transformations for Classification Forests

, 2013
This work introduces a transformation-based learner model for classification forests. The weak learner at each split node plays a crucial role in a classification tree. We propose to optimize the splitting objective by learning a linear transformation on subspaces using nuclear norm as the optimization criteria.
Qiang Qiu 0001, Guillermo Sapiro
openaire   +2 more sources

Association Between Dinutuximab Beta Exposure and Post‐End‐of‐Treatment Survival in Neuroblastoma: A Weighted Patient‐Level Analysis of Three Clinical Studies

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko, Holger N. Lode, Alberto Garaventa, Carla Manzitti, Roberto Luksch, Dominique Valteau‐Couanet, Marion Gambart, John Anderson, Juliet Gray, Adela Canete, Lucas Moreno, Aleksandra Wieczorek, Cormac Owens, Shifra Ash, Isaac Yaniv, Genevieve Laureys, Hans Loibner, Katarzyna Śladowska, Ruth Ladenstein, Paweł Kawalec   +19 more
wiley   +1 more source

Open Georeferenced Field Data on Forest Types and Species for Biodiversity Assessment and Remote Sensing Applications

Data
Forest ecosystems are important for biodiversity conservation, climate regulation and climate change mitigation, soil and water protection, and the recreation and provision of raw materials.
Patrizia Gasparini, Lucio Di Cosmo, Antonio Floris, Federica Murgia, Maria Rizzo   +4 more
doaj   +1 more source

Forest Management Plan in Domogt Sharyn Gol, Mongolia is Elaborated on Ecological and Sustainable Principles

Journal of Landscape Ecology, 2019
A forest management plan based on ecological principles and forest management sustainability was elaborated for the Domogt Sharyn Gol Company, Mongolia. We presented possibility of use of principles and methods traditionally utilized in forest management
Smola Martin, Kusbach Antonín, Štěrba Tadeáš, Adolt Radim, Nečas Michal   +4 more
doaj   +1 more source

Effects of forest degradation classification on the uncertainty of aboveground carbon estimates in the Amazon

Carbon Balance and Management, 2023
Background Tropical forests are critical for the global carbon budget, yet they have been threatened by deforestation and forest degradation by fire, selective logging, and fragmentation. Existing uncertainties on land cover classification and in biomass
Ekena Rangel Pinagé, Michael Keller, Christopher P. Peck, Marcos Longo, Paul Duffy, Ovidiu Csillik   +5 more
doaj   +1 more source