A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing
Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …
different dimensionality, resolution, type, etc.) to generate information in a form that is more …
A landslide extraction method of channel attention mechanism U-Net network based on Sentinel-2A remote sensing images
Accurate landslide extraction is significant for landslide disaster prevention and control.
Remote sensing images have been widely used in landslide investigation, and landslide …
Remote sensing images have been widely used in landslide investigation, and landslide …
Soil and water conservation techniques in tropical and subtropical Asia: A Review
Soil and water loss is a severe environmental problem in tropical and subtropical Asia
(TSA). This review systematically summarizes the techniques that have been widely applied …
(TSA). This review systematically summarizes the techniques that have been widely applied …
Contribution and behavioral assessment of physical and anthropogenic factors for soil erosion using integrated deep learning and game theory
Ensuring sustainable management of soil erosion is of utmost importance to prevent its
adverse effects. Unfortunately, this issue has received limited attention in the past, therefore …
adverse effects. Unfortunately, this issue has received limited attention in the past, therefore …
Towards advancing the earthquake forecasting by machine learning of satellite data
Earthquakes have become one of the leading causes of death from natural hazards in the
last fifty years. Continuous efforts have been made to understand the physical characteristics …
last fifty years. Continuous efforts have been made to understand the physical characteristics …
Simulating the impact of climate change on soil erosion in sub-tropical monsoon dominated watershed based on RUSLE, SCS runoff and MIROC5 climatic model
SC Pal, R Chakrabortty - Advances in Space Research, 2019 - Elsevier
Climate change due to precipitation is one of the important dominant variables that
determine the trend of soil loss in future period. In the present study the MIROC5 model of …
determine the trend of soil loss in future period. In the present study the MIROC5 model of …
Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms
A Arabameri, S Chandra Pal, R Costache… - … , Natural Hazards and …, 2021 - Taylor & Francis
Spatial modelling of gully erosion at regional level is very relevant for local authorities to
establish successful counter-measures and to change land-use planning. This work is …
establish successful counter-measures and to change land-use planning. This work is …
Hybrid machine learning approach for gully erosion mapping susceptibility at a watershed scale
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result,
safeguarding the soil for our own benefit and from our own actions is a must for …
safeguarding the soil for our own benefit and from our own actions is a must for …
Driving factors and future prediction of land use and cover change based on satellite remote sensing data by the LCM model: a case study from Gansu province …
Land use and cover change (LUCC) is an important issue affecting the global environment,
climate change, and sustainable development. Detecting and predicting LUCC, a dynamic …
climate change, and sustainable development. Detecting and predicting LUCC, a dynamic …
Combined use of satellite and surface observations to study aerosol optical depth in different regions of China
M Filonchyk, H Yan, Z Zhang, S Yang, W Li, Y Li - Scientific reports, 2019 - nature.com
Aerosol optical depth (AOD) is one of essential atmosphere parameters for climate change
assessment as well as for total ecological situation study. This study presents long-term data …
assessment as well as for total ecological situation study. This study presents long-term data …