SOCIOECONOMIC DEVELOPMENT EVALUATION FOR CHINESE POVERTY-STRICKEN COUNTIES USING INDICES DERIVED FROM REMOTELY SENSED DATA

Socioeconomic development evaluation for Chinese poverty-stricken counties using indices derived from remotely sensed data

Comprehensively and objectively evaluating the development of poverty-stricken counties is important for poverty alleviation.In this study, we propose a relatively objective and efficient method that utilizes indicators derived from remote sensing images to 2014 dodge ram 1500 fender flares assess the socioeconomic development of poverty-stricken c

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AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV)

The present investigation evaluates the accuracy of estimating above-ground biomass (AGB) by means of two different sensors installed onboard an unmanned aerial vehicle (UAV) read more platform (DJI Inspire I) because the high costs of very high-resolution imagery provided by satellites or light detection and ranging (LiDAR) sensors often impede AG

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Contrastive learning with transformer for adverse endpoint prediction in patients on DAPT post-coronary stent implantation

BackgroundEffective management of dual antiplatelet therapy (DAPT) following drug-eluting stent (DES) implantation is crucial for preventing adverse events.Traditional redken shades 9gi prognostic tools, such as rule-based methods or Cox regression, despite their widespread use and ease, tend to yield moderate predictive accuracy within predetermin

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