THE FEASIBILITY OF MACHINE-LEARNING METHODS TO EXTRACT THE SURFACE EVAPORATION QUANTITY USING SATELLITE IMAGERY

The Feasibility of Machine-learning Methods to Extract the Surface Evaporation Quantity using Satellite Imagery

Background and Objectives: Climate phenomena such as quantity of surface evaporation are affected by many environmental factors and parameters, which makes modeling and data mining difficult.On the other hand, the estimation of surface evaporation for a target station can be difficult as a result of partial or complete lack of local meteorological

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External macroscopic anatomy of the Bradypus variegatus heart

ABSTRACT The sloth is known for its slow movements and arboreal habits.Most parts of its anatomy need yet to be unveiled, in order to understand the peculiarities that justify its behavior.In this sense, an investigation of the external characteristics of the heart of the three-toed sloth, Bradypus variegatus, was carried out to indicate the shape,

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Pore-Scale Analysis of the Permeability Damage and Recovery during Cyclic Freshwater and Brine Injection in Porous Media Containing Non-Swelling Clays

Permeability damage in subsurface porous media caused by clay mobilization is encountered in many engineering applications, such as geothermal energy, water disposal, oil recovery, and underground CO2 storage.During the freshwater injection into rocks containing brine, the sudden decrease in salinity causes native clay fines to detach and clog pore

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POU-SLAM: Scan-to-Model Matching Based on 3D Voxels

Purpose: Localization and mapping with LiDAR data is a fundamental building block for autonomous vehicles.Though LiDAR point clouds can often encode the scene depth more accurate and steadier compared with visual information, laser-based Simultaneous Localization And Mapping (SLAM) remains challenging as the data is usually sparse, density variable

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