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Extracting Water Depth from Landsat-8 Multispectral Satellite Imagery in Coastal Waters
Bathymetric data generates nautical charts, seafloor profiles, biological oceanography, etc. Water depth is collected using active sensors like... -
Deriving wetland-cover types (WCTs) from integration of multispectral indices based on Earth observation data
The wetland cover is defined as the spatially homogenous region of a wetland attributed to the underlying biophysical conditions such as vegetation,...
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An integrated approach to investigate surface and root zone salinity from multispectral and microwave remote sensing techniques
Soil salinity at the crops' root zone is a significant environmental issue as it considerably affects agricultural productivity. This study was...
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Environmental monitory and impact assessment of solid waste dumpsite using multispectral imagery in Yenagoa, Bayelsa state, Nigeria
This research presents a novel approach of using open data multispectral imagery as indicators Normalized Difference Vegetation Index, Land Surface...
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Assessment of water quality parameters in Muthupet estuary using hyperspectral PRISMA satellite and multispectral images
The continuous availability of spatial and temporal distributed data from satellite sensors provides more accurate and timely information regarding...
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Hydrological and Urban Survey Using Satellite Imagery: Case Study of Hamburg’s River Elbe
This study presents a detailed geographical survey of the course of the Elbe River that flows through Hamburg using remote sensing and satellite... -
Olive Tree Canopy Assessment Based on UAV Multispectral Images
Unmanned Aerial Vehicle (UAV) is widely used to acquire data on the biometric and spectral characteristics of olive trees through multispectral... -
Estimating high-density aboveground biomass within a complex tropical grassland using Worldview-3 imagery
A large percentage of native grassland ecosystems have been severely degraded as a result of urbanization and intensive commercial agriculture....
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Disturbed boundaries extraction in coal–grain overlap areas with high groundwater levels using UAV-based visible and multispectral imagery
With high groundwater levels, coal–grain overlap areas (CGOAs) are vulnerable to subsidence and water logging during mining activities, thereby...
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Convolutional Neural Network Based Detection of Chestnut Burrs in UAV Aerial Imagery
Uncrewed Aerial Vehicles (UAVs) based remote sensing proved to be a valuable tool to acquire extensive data of crops, which are essential for feeding... -
Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey
Hyperspectral image (HSI) contains hundreds of adjacent spectral bands, which can effectively differentiate the region of interest. Nevertheless,...
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AI perceives like a local: predicting citizen deprivation perception using satellite imagery
Deprived urban areas, commonly referred to as ‘slums,’ are the consequence of unprecedented urbanisation. Previous studies have highlighted the...
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Multispectral UAV-Based Monitoring of Behavior of Different Wheat and Barley Varieties
Multispectral (MS) remote sensing is a powerful tool for crops monitoring in precision agriculture framework. Due to the high accuracy level... -
A Method for Multispectral Images Alignment at Different Heights on the Crop
Multispectral imaging (MSI) for agricultural applications is playing a key role in plant stress assessment. However, one of the main problems is the... -
Comparative evaluation of performances of algae indices, pixel- and object-based machine learning algorithms in map** floating algal blooms using Sentinel-2 imagery
One of the main threats to freshwater resources is pollution from anthropogenic activities such as rapid urbanization and excessive agricultural...
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Map** of Phragmites in estuarine wetlands using high-resolution aerial imagery
Phragmites australis is a widespread invasive plant species in the USA that greatly impacts estuarine wetlands by creating dense patches and...
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Evaluation of surface water quality of Ukkadam lake in Coimbatore using UAV and Sentinel-2 multispectral data
Remote sensing was used as a potential solution for monitoring the surface water quality parameters as an alternative to the traditional in situ...
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Map** plastic-covered greenhouse farming areas using high-resolution PlanetScope and RapidEye imagery: studies from Loukkos perimeter (Morocco) and Dalat City (Vietnam)
The proliferation of plastic-covered greenhouse (PCG) farming has resulted in high horticulture crop yields worldwide during the last few decades. A...
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Satellite imagery: a way to monitor water quality for the future?
Monitoring water at high spatial and temporal resolutions is important for maintaining water quality because the cost of pollution remediation is...
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Evaluating Coastal Wetland Restoration Using Drones and High-Resolution Imagery
Coastal marsh ecosystems are changing and being lost at a rapid rate around the world. One of the fastest rates of land loss, specifically coastal...