Identifying the essential flood conditioning factors for flood prone area map** using machine learning techniques
River flooding can be a highly destructive natural hazard. Numerous approaches have been
used to study the phenomenon; however, insufficient knowledge regarding flood …
used to study the phenomenon; however, insufficient knowledge regarding flood …
Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest
Fire occurrence, which results from the presence of an ignition source and the conditions for
a fire to spread, is an essential component of fire risk assessment. In this paper, we present …
a fire to spread, is an essential component of fire risk assessment. In this paper, we present …
Deciphering the distribution of the savanna biome
We aimed to identify the limits of savanna across Africa, Australia and South America. We
based our investigation on the rich history of hypotheses previously examined: that the limits …
based our investigation on the rich history of hypotheses previously examined: that the limits …
Managing forward while looking back: reopening closed forests to open woodlands and savannas
Background Ecosystem management, community restoration, and managing for climate
resilience have become major priorities of land management in recent decades. For …
resilience have become major priorities of land management in recent decades. For …
Landslide susceptibility modeling using bivariate statistical-based logistic regression, naïve Bayes, and alternating decision tree models
W Chen, Z Yang - Bulletin of Engineering Geology and the Environment, 2023 - Springer
The main aim of this study is to use weights of evidence (WoE), logistic regression (LR),
naïve Bayes (NB), and alternating decision tree (ADTree) models to draw a landslide …
naïve Bayes (NB), and alternating decision tree (ADTree) models to draw a landslide …
The North American tree‐ring fire‐scar network
Abstract Fire regimes in North American forests are diverse and modern fire records are
often too short to capture important patterns, trends, feedbacks, and drivers of variability …
often too short to capture important patterns, trends, feedbacks, and drivers of variability …
Soil erosion susceptibility map** using ensemble machine learning models: A case study of upper Congo river sub-basin
Despite its large size, the Congo Basin (CB), which spans ten countries, has remained an
area of particular interest for scientific discovery due to gaps in Earth science, environmental …
area of particular interest for scientific discovery due to gaps in Earth science, environmental …
Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers
Abstract Knowledge of wildfire behavior is of key importance for planning and allocating
resources to fire suppression efforts. In this study, we analyzed the spatial pattern of wildfires …
resources to fire suppression efforts. In this study, we analyzed the spatial pattern of wildfires …
Native Americans as active and passive promoters of mast and fruit trees in the eastern USA
We reviewed literature in the fields of anthropology, archaeology, ethnobotany, palynology
and ecology to try to determine the impacts of Native Americans as active and passive …
and ecology to try to determine the impacts of Native Americans as active and passive …
Southern African fire regimes as revealed by remote sensing
Here we integrate spatial information on annual burnt area, fire frequency, fire seasonality,
fire radiative power and fire size distributions to produce an integrated picture of fire regimes …
fire radiative power and fire size distributions to produce an integrated picture of fire regimes …