Search Results - "Jing, Yinghong"

Bishift Networks for Thick Cloud Removal with Multitemporal Remote Sensing Images by Long, Chaojun, Li, Xinghua, Jing, Yinghong, Shen, Huanfeng

“…Because of the presence of clouds, the available information in optical remote sensing images is greatly reduced. These temporal-based methods are widely used…”
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High-quality vegetation index product generation: A review of NDVI time series reconstruction techniques by Li, Shuang, Xu, Liang, Jing, Yinghong, Yin, Hang, Li, Xinghua, Guan, Xiaobin

“…•A review on high-quality NDVI time series product generation.•Three kinds of methods are summarized.•The merits and demerits of each technique are…”
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The recent developments in cloud removal approaches of MODIS snow cover product by Li, Xinghua, Jing, Yinghong, Shen, Huanfeng, Zhang, Liangpei

“…The snow cover products of optical remote sensing systems play an important role in research into global climate change, the hydrological cycle, and the energy…”
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Cascaded Downscaling-Calibration Networks for Satellite Precipitation Estimation by Jing, Yinghong, Lin, Liupeng, Li, Xinghua, Li, Tongwen, Shen, Huanfeng

“…Precipitation is a critical process in the terrestrial hydrological circulation, affecting climate change, water resource management, and agricultural…”
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A Two-Stage Fusion Framework to Generate a Spatio–Temporally Continuous MODIS NDSI Product over the Tibetan Plateau by Jing, Yinghong, Shen, Huanfeng, Li, Xinghua, Guan, Xiaobin

“…The Tibetan Plateau (TP) is an important component of the global environmental system, on which the snow cover greatly affects the regional climate and…”
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STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China by Jing, Yinghong, Li, Xinghua, Shen, Huanfeng

“…Snow dynamics are crucial in ecosystems, affecting radiation balance, hydrological cycles, biodiversity, and human activities. Snow areas with notably diverse…”
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An attention mechanism based convolutional network for satellite precipitation downscaling over China by Jing, Yinghong, Lin, Liupeng, Li, Xinghua, Li, Tongwen, Shen, Huanfeng

“…•A novel attention mechanism based convolutional network is proposed.•A degradation loss function is designed to physically constrain the training.•The method…”
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An Integrated Learning Framework for Seamless High-Resolution Soil Moisture Estimation by Jing, Yinghong, Li, Yao, Li, Xinghua, Lin, Liupeng, She, Xiaojun, Jiang, Menghui, Shen, Huanfeng

“…Surface soil moisture plays a pivotal role in various hydrological processes. Precisely assessing soil moisture with high resolution is crucial for effective…”
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An attention mechanism based convolutional network for satellite precipitation downscaling over China by Jing, Yinghong, Lin, Liupeng, Li, Xinghua, Li, Tongwen, Shen, Huanfeng

“…Precipitation is a key part of hydrological circulation and is a sensitive indicator of climate change. The Integrated Multi-satellitE Retrievals for the…”
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