Works matching AU Zhu, Linglong
Results: 19
Transport Paths and Identification for Potential Sources of Haze Pollution in the Yangtze River Delta Urban Agglomeration from 2014 to 2017.
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- Atmosphere, 2018, v. 9, n. 12, p. 502, doi. 10.3390/atmos9120502
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- Article
Snow Cover Mapping for Mountainous Areas by Fusion of MODIS L1B and Geographic Data Based on Stacked Denoising Auto-Encoders.
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- Computers, Materials & Continua, 2018, v. 57, n. 1, p. 49, doi. 10.32604/cmc.2018.02376
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- Article
Enantioselective Allylic Substitution of Morita-Baylis-Hillman Adducts Catalyzed by Chiral Bifunctional Ferrocenylphosphines.
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- European Journal of Organic Chemistry, 2016, v. 2016, n. 12, p. 2139, doi. 10.1002/ejoc.201600045
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- Article
Reconstruction of Snow Cover in Kaidu River Basin via Snow Grain Size Gap-Filling Based on Machine Learning.
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- Water (20734441), 2023, v. 15, n. 21, p. 3726, doi. 10.3390/w15213726
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- Article
Snow Cover Detection Using Multi-Temporal Remotely Sensed Images of Fengyun-4A in Qinghai-Tibetan Plateau.
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- Water (20734441), 2023, v. 15, n. 19, p. 3329, doi. 10.3390/w15193329
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- Article
Fine mapping and targeted genomic analyses of photoperiod‐sensitive gene (GB_PPD1) in Pima cotton (Gossypium barbadense L.).
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- Crop Science, 2024, v. 64, n. 3, p. 1756, doi. 10.1002/csc2.21250
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- Article
High‐density linkage map construction and QTL analysis of fiber quality and lint percentage in tetraploid cotton.
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- Crop Science, 2021, v. 61, n. 5, p. 3340, doi. 10.1002/csc2.20519
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- Article
Rapid Isolation of Loss‐of‐Function Mutations for Dominant Traits: A Case Study Using Photoperiod Sensitivity Trait in Pima Cotton.
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- Crop Science, 2019, v. 59, n. 5, p. 2028, doi. 10.2135/cropsci2019.02.0133
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- Article
Molecular Genetic Mapping of the Major Effect Photoperiod Response Locus in Pima Cotton (Gossypium barbadense L.).
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- Crop Science, 2014, v. 54, n. 6, p. 2492, doi. 10.2135/cropsci2014.03.0258
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- Article
Water body extraction based on multi-scale attention from synthetic aperture radar images.
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- Journal of Applied Remote Sensing, 2024, v. 18, n. 3, p. 36510, doi. 10.1117/1.JRS.18.036510
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- Article
A Deep Learning-Based Algorithm for Identifying Precipitation Clouds Using Fengyun-4A Satellite Observation Data.
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- Sensors (14248220), 2023, v. 23, n. 15, p. 6832, doi. 10.3390/s23156832
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- Article
Research on Precipitation Estimation Algorithm from Fengyun-4 Satellite Based on Improved U-Net.
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- Journal of Computer Engineering & Applications, 2023, v. 59, n. 11, p. 285, doi. 10.3778/j.issn.1002-8331.2202-0255
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Analysis of temporal and spatial characteristics of land use under urban expansion in Tianjin city.
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- China Sciencepaper, 2024, v. 19, n. 11, p. 1177
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- Article
High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.)
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- BMC Genomics, 2019, v. 20, n. 1, p. 1, doi. 10.1186/s12864-019-6214-z
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- Article
DSRSS-Net: Improved-Resolution Snow Cover Mapping from FY-4A Satellite Images Using the Dual-Branch Super-Resolution Semantic Segmentation Network.
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- Remote Sensing, 2023, v. 15, n. 18, p. 4431, doi. 10.3390/rs15184431
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- Article
Characterizing Spatiotemporal Patterns of Snowfall in the Kaidu River Basin from 2000–2020 Using MODIS Observations.
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- Remote Sensing, 2022, v. 14, n. 22, p. 5885, doi. 10.3390/rs14225885
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- Article
Genome-Wide Association Studies Revealed the Genetic Loci and Candidate Genes of Pod-Related Traits in Peanut (Arachis hypogaea L.).
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- Agronomy, 2023, v. 13, n. 7, p. 1863, doi. 10.3390/agronomy13071863
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- Article
Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep Learning.
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- Remote Sensing, 2021, v. 13, n. 4, p. 584, doi. 10.3390/rs13040584
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- Article
Analysis of Spatiotemporal Variation and Influencing Factors of PM 2.5 in China Based on Multisource Data.
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- Sustainability (2071-1050), 2023, v. 15, n. 19, p. 14656, doi. 10.3390/su151914656
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- Article