Results 111 to 120 of about 209,563 (293)

Sanitation felling against the European spruce bark beetle: A matter of intensity and forest type Tagli fitosanitari contro il bostrico tipografo: una questione di intensità e tipologia forestale

open access: yesAgricultural and Forest Entomology, EarlyView.
We assess the effect of sanitation felling performed in 2022 in North‐Eastern Italy on bark beetle damage that occurred in 2023 across eight spruce forest types, as evaluated using multispectral satellite imagery. Bark beetle damage was reduced only at very high or very low sanitation felling rates.
Aurora Bozzini   +5 more
wiley   +1 more source

Explainable machine learning for predictive modeling of blowing snow detection and meteorological feature assessment using XGBoost-SHAP.

open access: yesPLoS ONE
Accurate forecasting of blowing snow events is vital for improving numerical models of snow processes, yet traditional predictive methods often lack interpretability.
Feng Wang, Xinrang Wang, Sai Li
doaj   +1 more source

Future projection of habitat suitability and potential distribution of main European cereal bugs using MaxEnt modelling

open access: yesAgricultural and Forest Entomology, EarlyView.
Global climate change will modify the distribution areas of important cereal bugs by changing environmental conditions. Information on their dispersal possibilities can help to clarify their future economic importance and damage potential. In this study, we modelled the current potential and future distribution of four important pests by using the ...
Szilvia Gibicsár   +2 more
wiley   +1 more source

Experience and self‐interest: Diverging responses to global warming

open access: yesAmerican Journal of Political Science, EarlyView.
Abstract People are increasingly feeling global warming's effects through extreme heat and natural disasters. How do these climate shocks affect political attitudes? We argue that the effect of climate‐related experiences depends significantly on self‐interest.
Alexander F. Gazmararian   +1 more
wiley   +1 more source

The Mobile Core: Perpetuating Tourism Leakage Through the Socioecological Fix in South Korea

open access: yesAsia Pacific Viewpoint, EarlyView.
ABSTRACT By adopting the socioecological fix concept, this study aims to examine the spatial dynamics of tourism leakage. An ethnographic examination of an ecotourism project on Jeju Island, South Korea was conducted for 18 months from 2011 to 2013.
Souyeon Nam
wiley   +1 more source

Blueprint of a smokescreen: Introducing the validated climate disinformation corpus for behavioural research on combating climate disinformation

open access: yesBritish Journal of Psychology, EarlyView.
Abstract Behavioural science research has the potential to develop evidence‐based strategies to fight disinformation about climate science and climate mitigation action; however, this research has yet to be conducted systematically with validated sets of climate disinformation stimuli. Here, we present the Climate Disinformation Corpus, a collection of
Tobia Spampatti   +3 more
wiley   +1 more source

Growing snow volleyball in snow-restricted countries: A pilot study

open access: yesSport TK
Snow volleyball is an increasingly popular sport that has been earmarked as a potential Winter Olympic discipline. However, it is not typically associated with Africa.
Khatija Bahdur   +2 more
doaj   +1 more source

Bayesian Information Extraction Network

open access: yes, 2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs are applicable to probabilistic language modeling.
Peshkin, Leonid, Pfeffer, Avi
core   +5 more sources

TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present TreeON, a novel neural‐based framework for reconstructing detailed 3D tree point clouds from sparse top‐down geodata, using only a single orthophoto and its corresponding Digital Surface Model (DSM). Our method introduces a new training supervision strategy that combines both geometric supervision and a differentiable shadow and ...
Angeliki Grammatikaki   +4 more
wiley   +1 more source

Data fusion with artificial neural networks (ANN) for classification of earth surface from microwave satellite measurements [PDF]

open access: yes
A data fusion system with artificial neural networks (ANN) is used for fast and accurate classification of five earth surface conditions and surface changes, based on seven SSMI multichannel microwave satellite measurements.
Chiou, Y. S. Peter   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy