Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …
management, environmental modelling and assessment, and agricultural production …
Shallow landslide susceptibility map**: A comparison between logistic model tree, logistic regression, naïve bayes tree, artificial neural network, and support vector …
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices,
and can cause social upheaval and loss of life. As a result, many scientists study the …
and can cause social upheaval and loss of life. As a result, many scientists study the …
Soft computing ensemble models based on logistic regression for groundwater potential map**
Groundwater potential maps are one of the most important tools for the management of
groundwater storage resources. In this study, we proposed four ensemble soft computing …
groundwater storage resources. In this study, we proposed four ensemble soft computing …
Landslide susceptibility map** using machine learning algorithms and remote sensing data in a tropical environment
We used AdaBoost (AB), alternating decision tree (ADTree), and their combination as an
ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands …
ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands …
The main aim of this study is to assess groundwater potential of the DakNong province,
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …
Guardar Citar Citado por 136 VH Nhu, A Shirzadi, H Shahabi, W Chen, JJ Clague… - Forests, 2020 - mdpi.com
We generated high-quality shallow landslide susceptibility maps for Bijar County, Kurdistan
Province, Iran, using Random Forest (RAF), an ensemble computational intelligence method …
Province, Iran, using Random Forest (RAF), an ensemble computational intelligence method …
[HTML][HTML] Comparative evaluation of geospatial scenario-based land change simulation models using landscape metrics
Assessing the performance of land change simulation models is a critical step when
predicting the future landscape scenario. The study was conducted in the district of …
predicting the future landscape scenario. The study was conducted in the district of …
Application of multi layer perceptron neural network Markov Chain model for LULC change detection in the Sub-Himalayan North Bengal
Land use and land cover (LULC) changes may occur due to natural and anthropogenic
activities. The present study area is situated in the Himalayan foothill region of north-eastern …
activities. The present study area is situated in the Himalayan foothill region of north-eastern …
A multi-layer perceptron–Markov chain based LULC change analysis and prediction using remote sensing data in Prayagraj district, India
Land use land cover (LULC) map** and temporal observations are indispensable drivers
for sustainable development. This research showed the growth trends and land use …
for sustainable development. This research showed the growth trends and land use …