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Identification and Characterization Methods for Microplastics Basing on Spatial Imaging in Micro-/Nanoscales
Microplastic pollution is a global problem in recent decades due to their ubiquity in the oceans, sediment, soil, or wastewater. The bioavailability... -
Hyperspectral Imaging of Macroinvertebrates—a Pilot Study for Detecting Metal Contamination in Aquatic Ecosystems
The applicability of spectral analysis in detection of freshwater metal contamination was assessed by develo** and testing a novel hyperspectral...
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Reservoir sediment characterisation by diffuse reflectance spectroscopy in a semiarid region to support sediment reuse for soil fertilization
PurposeSoil erosion by water yields sediment to surface reservoirs, reducing their storage capacities, changing their geometry, and degrading water...
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Map** spatial distribution of invasive alien species through satellite remote sensing in Karachi, Pakistan: an urban ecological perspective
The exponential population growth of Karachi city has taken a very heavy toll on the indigenous environment of this South Asian megacity. In this...
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Paint has the potential to release microplastics, nanoplastics, inorganic nanoparticles, and hybrid materials
BackgroundWhen we paint our houses or offices, we might paint plastic, because most paints are generally formulated with polymer binders. After...
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Needs and challenges of optical atmospheric monitoring on the background of carbon neutrality in China
The achievement of the targets of coordinated control of PM 2.5 and O 3 and the carbon peaking and carbon neutrality depend on the development of...
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Application of Near-Infrared Spectroscopy to Forest and Wood Products
Purpose of ReviewForest and wood products are often characterized by a uniformity of quality attributes, which necessitates the development of rapid...
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Exploring Transfer Learning for Enhanced Seed Classification: Pre-trained Xception Model
Seed classification plays a crucial role in various agricultural and industrial applications, such as crop breeding, seed quality assessment, and... -
Spatio-temporal variations and drought of spring maize in Northeast China between 2002 and 2020
A lot of spring maize is grown in Northeast China (Liaoning, Jilin, and Heilongjiang), an area that is highly susceptible to drought. Here, remote...
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UAV-based remote sensing in plant stress imagine using high-resolution thermal sensor for digital agriculture practices: a meta-review
Water management is becoming a critical issue for sustainable agriculture, especially in the semi-arid region, where problems with water scarcity are...
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Remote Sensing and GIS Applications in Soil Conservation
Information on the extent and spatial distribution of soil erosionSoil erosion is essential for planning and implementing soil conservationSoil... -
Random forest–based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data
Heavy metals in the agricultural soils of reclaimed mining areas can contaminate food and endanger human health. The objective of this study is to...
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Remote sensing for map** algal blooms in freshwater lakes: a review
A large number of freshwater lakes around the world show recurring harmful algal blooms, particularly cyanobacterial blooms, that affect public...
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Development of an automatic sorting robot for construction and demolition waste
AbstractAn automatic sorting robot is designed in this report. The system makes use of height maps and near-infrared (NIR) hyperspectral images to...
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Constructing the Dynamics of Water Quality Parameters Using Geospatial Technology and In Situ Observations
Water quality assessment is a critical aspect of maintaining the health of aquatic ecosystem. The escalating issue of water pollution poses a... -
Analysis of aged microplastics: a review
Microplastics are emerging contaminants that undergo progressive aging under environmental conditions such as sunlight irradiation, mechanical...
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Assessment of Microplastics from Surface Water Bodies: Challenges and Future Scopes
The term “microplastics (MPs)” refers to small solid particles with a size less than 5 mm made of non-biodegradable polymers like PE, PP, and PET. In...
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Revolutionizing crop disease detection with computational deep learning: a comprehensive review
Digital image processing has witnessed a significant transformation, owing to the adoption of deep learning (DL) algorithms, which have proven to be...
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Albedo change from snow algae blooms can contribute substantially to snow melt in the North Cascades, USA
Snow algae are ubiquitous in the Pacific Northwest cryosphere in the summer where snowmelt is an important contribution to regional watersheds....