Results 221 to 230 of about 21,673,467 (360)
Monitoring water contaminants in coastal areas through ML algorithms leveraging atmospherically corrected Sentinel-2 data [PDF]
Monitoring water contaminants is of paramount importance, ensuring public health and environmental well-being. Turbidity, a key parameter, poses a significant problem, affecting water quality. Its accurate assessment is crucial for safeguarding ecosystems and human consumption, demanding meticulous attention and action.
arxiv
Geothermal Potential Analysis Using Landsat 8 and Sentinel 2 (Case Study: Mount Ijen) [PDF]
Bangun Muljo Sukojo, R Mardiana
openalex +1 more source
ABSTRACT The ICH Q14 guideline introduces a structured framework for analytical method development based on Analytical Quality by Design (AQbD) principles, aiming to ensure robust, reliable, and fit‐for‐purpose methods throughout the product lifecycle.
Ewoud van Tricht+1 more
wiley +1 more source
BENCHMARK OF MACHINE LEARNING METHODS FOR CLASSIFICATION OF A SENTINEL-2 IMAGE
Francesco Pirotti+2 more
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Abstract Exposure levels without appreciable human health risk may be determined by dividing a point of departure on a dose–response curve (e.g., benchmark dose) by a composite adjustment factor (AF). An “effect severity” AF (ESAF) is employed in some regulatory contexts.
Barbara L. Parsons+17 more
wiley +1 more source
Use of Sentinel 2 – MSI for water quality monitoring at Alqueva reservoir, Portugal [PDF]
Miguel Potes+6 more
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Peer review report 2 on “Internal mammary sentinel lymph node biopsy in clinical practice”
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A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution. [PDF]
Kowaleczko P+6 more
europepmc +1 more source
Tree Species Classification with Multi-Temporal Sentinel-2 Data [PDF]
Magnus Persson+2 more
openalex +1 more source