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Yingpin Yang

As seen in: MDPI
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Articles

Spatiotemporal Analysis of Open Biomass Burning in Guangxi Province, China, from 2012 to 2023 Based on VIIRS

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By Xinjie He, Qiting Huang, Dewei Yang, Yingpin Yang
| MDPI
1. Introduction Open biomass burning mainly refers to forest fires, grassland fires, and crop residue burning (CRB) caused by human activities or natural factors [1,2]. Open biomass burning emits large amounts of primary and secondary aerosol particulate matter, and under high humidity meteorological conditions, the pollutants emitted can easily lead to dense smog pollution in the region, reducing local visibility and affecting air quality [3,4,5,6,7].
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Abandoned Land Mapping Based on Spatiotemporal Features from PolSAR Data via Deep Learning Methods

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By Zhifeng Wu, Yingpin Yang, Wenju Xiao, Ya’nan Zhou
| MDPI
Abstract : Monitoring agricultural abandonment is essential in understanding the effects on the environment and food security. Polarimetric synthetic aperture radar (PolSAR) is an efficient approach for the monitoring of large-scale agricultural land cover in cloudy and rainy areas.
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