Machine learning and remote sensing-based lithological mapping of the Duwi Shear-Belt area, Central Eastern Desert, Egypt
Abstract Machine learning and remote sensing techniques are widely accepted as valuable,
cost-effective tools in lithological discrimination and mineralogical investigations. The …
cost-effective tools in lithological discrimination and mineralogical investigations. The …
Mapping and Monitoring of the Invasive Species Dichrostachys cinerea (Marabú) in Central Cuba Using Landsat Imagery and Machine Learning (1994–2022)
Invasive plants are a serious problem in island ecosystems and are the main cause of the
extinction of endemic species. Cuba is located within one of the hotspots of global …
extinction of endemic species. Cuba is located within one of the hotspots of global …
[HTML][HTML] Machine Learning-Based Cerrado Land Cover Classification Using PlanetScope Imagery
The Cerrado domain, one of the richest on Earth, is among the most threatened in South
America due to human activities, resulting in biodiversity loss, altered fire dynamics, water …
America due to human activities, resulting in biodiversity loss, altered fire dynamics, water …
Uncertainty-Aware Regression for Socio-Economic Estimation via Multi-View Remote Sensing
Remote sensing imagery offers rich spectral data across extensive areas for Earth
observation. Many attempts have been made to leverage these data with transfer learning to …
observation. Many attempts have been made to leverage these data with transfer learning to …
Mapping phytoplankton and algal blooms with a novel Multi Sensor Water Index (MSWI)
Multispectral satellite imageries (MSIs) are strong enough to delineate features of interest by
suppressing others. The water index is a method applied to delineate the water features by …
suppressing others. The water index is a method applied to delineate the water features by …
Accurate classification of land use and land cover using a boundary-specific two-level learning approach augmented with auxiliary features in Google Earth Engine
R Selvaraj, GB Amali D - Environmental Monitoring and Assessment, 2023 - Springer
Land use land cover (LULC) classification using remote sensing images is a valuable
resource in various fields such as climate change, urban development, and land …
resource in various fields such as climate change, urban development, and land …
A majority voting ensemble approach for LULC classification of satellite images
K Kulkarni, PA Vijaya - Journal of The Institution of Engineers (India) …, 2023 - Springer
Land use land cover analysis aided by remote sensing provides the civic authorities a
broader picture of the geographic area. This work aims to get the land cover map of the …
broader picture of the geographic area. This work aims to get the land cover map of the …
Mapping Forests Using an Imbalanced Dataset
K Kulkarni, PA Vijaya - Journal of The Institution of Engineers (India) …, 2022 - Springer
Forests play a major role in maintaining the ecological stability of the region. In recent years,
rampant tourism and other human activities have resulted in the decline of the area covered …
rampant tourism and other human activities have resulted in the decline of the area covered …
Identification of Standard Sensible Bands for the Study of Oil Spill from Multi-sensor and Multi-spectral Satellite Imagery
Oil spills are a primary concern for environmental health, including aquatic ecosystems. The
oil spill phenomenon generally happens in remote and inaccessible areas. Tracking and …
oil spill phenomenon generally happens in remote and inaccessible areas. Tracking and …
Determination of the changes in annual and seasonal runoff and determine if the changes in runoff can be attributed to land cover change or climate change in the …
DJH Thus - 2023 - essay.utwente.nl
Deforestation has impacts on the water balance in tropical catchments. Deforestation tends
to increase the annual discharge. However, a few studies have also shown that …
to increase the annual discharge. However, a few studies have also shown that …