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Spatiotemporal maintenance of flora in the Himalaya biodiversity hotspot: Current knowledge and future perspectives
Mountain ecosystems support a significant one‐third of all terrestrial biodiversity, but our
understanding of the spatiotemporal maintenance of this high biodiversity remains poor, or …
understanding of the spatiotemporal maintenance of this high biodiversity remains poor, or …
Ensembling machine learning models to identify forest fire-susceptible zones in Northeast India
Forest fires pose significant challenges by disrupting ecological balance, impacting socio-
economic harmony, and raising global concerns. North-East India (NEI) experiences high …
economic harmony, and raising global concerns. North-East India (NEI) experiences high …
Forest fire susceptibility zonation in Eastern India using statistical and weighted modelling approaches
Recurring forest fires disturb ecological balance, impact socio-economic harmony, and raise
global concern. This study implements multiple statistical and weighted modelling …
global concern. This study implements multiple statistical and weighted modelling …
Forest-fire-risk prediction based on random forest and backpropagation neural network of Heihe area in Heilongjiang province, China
C Gao, H Lin, H Hu - Forests, 2023 - mdpi.com
Forest fires are important factors that influence and restrict the development of forest
ecosystems. In this paper, forest-fire-risk prediction was studied based on random forest …
ecosystems. In this paper, forest-fire-risk prediction was studied based on random forest …
Analyzing trend and forecast of rainfall and temperature in Valmiki Tiger Reserve, India, using non-parametric test and random forest machine learning algorithm
Assessment of spatiotemporal dynamics of meteorological variables and their forecast is
essential in the context of climate change. Such analysis can help suggest possible …
essential in the context of climate change. Such analysis can help suggest possible …
RVFR: Random vector forest regression model for integrated & enhanced approach in forest fires predictions
The forest fires is one of the most dangerous disasters to the livelihood planet of earth.
Human intervention into the field of the destruction of nature is another cause of these forest …
Human intervention into the field of the destruction of nature is another cause of these forest …
[PDF][PDF] Forest fires in India: A review
R Sewak, M Vashisth, L Gupta - Journal of University of Shanghai for …, 2021 - academia.edu
Forest fire has become extreme and has increased in frequency worldwide with India being
no exception. In view of this, the present-day knowledge about the forest fire condition in …
no exception. In view of this, the present-day knowledge about the forest fire condition in …
Using ensemble machine learning algorithm to predict forest fire occurrence probability in Madhya Pradesh and Chhattisgarh, India
The escalating global threat of forest fires, driven by global warming, requires the
development of effective prediction systems to mitigate damages. This research focuses on …
development of effective prediction systems to mitigate damages. This research focuses on …
Waste biomass and recycled polypropylene based jute hybrid composites for non-structural applications
There is an overwhelming interest in composite materials derived from bio-based waste
resources, recycled plastic materials and their combinations. The judicious utilization of …
resources, recycled plastic materials and their combinations. The judicious utilization of …
[HTML][HTML] Wildfire prediction using zero-inflated negative binomial mixed models: Application to Spain
Wildfires have changed in recent decades. The catastrophic wildfires make it necessary to
have accurate predictive models on a country scale to organize firefighting resources. In …
have accurate predictive models on a country scale to organize firefighting resources. In …