Yulin Zhan
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View article: Soil Moisture Retrieval in North America with Passive Microwave and Auxiliary Data Based on Variable Spatial Optimization
Soil Moisture Retrieval in North America with Passive Microwave and Auxiliary Data Based on Variable Spatial Optimization Open
Soil moisture content (SMC) is critical in hydrological, agricultural, and meteorological research. There is an urgent need for spatiotemporal information on accurate SMC distribution on a large scale. Passive microwave remote sensing data…
View article: Establishment of an RAA-CRISPR/Cas12a-based diagnostic method for the detection of fowl adenovirus serotype 4 virus in chickens and wild birds
Establishment of an RAA-CRISPR/Cas12a-based diagnostic method for the detection of fowl adenovirus serotype 4 virus in chickens and wild birds Open
Fowl adenovirus (FAdV) serotype 4, recognized as the causative agent of hydropericardium syndrome (HPS) in chickens, causes substantial economic losses in poultry farming. To develop a simple, rapid, and reliable diagnostic method for the …
View article: Recent Advances in Deep Learning-Based Spatiotemporal Fusion Methods for Remote Sensing Images
Recent Advances in Deep Learning-Based Spatiotemporal Fusion Methods for Remote Sensing Images Open
Remote sensing images captured by satellites play a critical role in Earth observation (EO). With the advancement of satellite technology, the number and variety of remote sensing satellites have increased, which provide abundant data for …
View article: Modeling fast X-ray variability around an accreting black hole
Modeling fast X-ray variability around an accreting black hole Open
X-ray inter-band time lags are observed during the outbursts of black hole X-ray binaries (BHXRBs). Timing analysis of fast variability in low Fourier frequency bands shows that high-energy photons lag behind low-energy photons, a phenomen…
View article: IT-STF: A Fast and Imperfect Input Tolerant Spatio-Temporal Fusion Method
IT-STF: A Fast and Imperfect Input Tolerant Spatio-Temporal Fusion Method Open
Spatial–temporal fusion (STF) technology has emerged as a cost-effective and convenient solution for obtaining dense time-series high-resolution satellite images. Large-scale applications require a practical STF method that is fast and rob…
View article: Sequential release of vancomycin and BMP-2 from chitosan/nano-hydroxyapatite thermosensitive hydrogel for the treatment of chronic osteomyelitis
Sequential release of vancomycin and BMP-2 from chitosan/nano-hydroxyapatite thermosensitive hydrogel for the treatment of chronic osteomyelitis Open
In this study, we developed scaffolds materials with microspheres to form a double sustained release system.Chitosan/nano-hydroxyapatite (CS-HA) was used as a drug carrier to construct a sustained-release system for Bone morphogenetic prot…
View article: Validation of Red-Edge Vegetation Indices in Vegetation Classification in Tropical Monsoon Region—A Case Study in Wenchang, Hainan, China
Validation of Red-Edge Vegetation Indices in Vegetation Classification in Tropical Monsoon Region—A Case Study in Wenchang, Hainan, China Open
Vegetation classification has always been the focus of remote sensing applications, especially for tropical regions with fragmented terrain, cloudy and rainy climates, and dense vegetation. How to effectively classify vegetation in tropica…
View article: Comprehensive Analysis of Temporal–Spatial Fusion from 1991 to 2023 Using Bibliometric Tools
Comprehensive Analysis of Temporal–Spatial Fusion from 1991 to 2023 Using Bibliometric Tools Open
Due to budget and sensor technology constraints, a single sensor cannot simultaneously provide observational images with both a high spatial and temporal resolution. To solve the above problem, the spatiotemporal fusion (STF) method was pr…
View article: A Methodological Approach for Gap Filling of WFV Gaofen-1 Images from Spatial Autocorrelation and Enhanced Weighting
A Methodological Approach for Gap Filling of WFV Gaofen-1 Images from Spatial Autocorrelation and Enhanced Weighting Open
Clouds and cloud shadow cover cause missing data in some images captured by the Gaofen-1 Wide Field of View (GF-1 WFV) cameras, limiting the extraction and analysis of the image information and further applications. Therefore, this study p…
View article: The Spatially Seamless Spatiotemporal Fusion Model Based on Generative Adversarial Networks
The Spatially Seamless Spatiotemporal Fusion Model Based on Generative Adversarial Networks Open
Spatiotemporal fusion is a method of fusing high spatial resolution low temporal resolution remote sensing images and low spatial resolution high temporal resolution in order to obtain high spatiotemporal resolution remote sensing images, …
View article: Preliminary Evaluation of Angular Reflectance Downscaling Using FSDAF Spatiotemporal Fusion Model and MODIS BRDF Data
Preliminary Evaluation of Angular Reflectance Downscaling Using FSDAF Spatiotemporal Fusion Model and MODIS BRDF Data Open
As the resolution of remote sensing quantitative inversion for albedo, clumping index, canopy height, and other biophysical parameter data is gradually refined, there is an increasing demand for higher spatial resolution bidirectional refl…
View article: Author Correction: Chinese Soil Moisture Observation Network and Time Series Data Set for High Resolution Satellite Applications
Author Correction: Chinese Soil Moisture Observation Network and Time Series Data Set for High Resolution Satellite Applications Open
View article: Spatial heterogeneity of vegetation phenology caused by urbanization in China based on remote sensing
Spatial heterogeneity of vegetation phenology caused by urbanization in China based on remote sensing Open
Vegetation phenology changes caused by urbanization could lead to shifts in ecosystem services in urban areas
\nand impact on human health. The characteristics of urbanization affect vegetation phenology need to be
\nemphasized, especially…
View article: Effect of basalt fiber on fracture properties and drying shrinkage of alkali-activated slag with different silicate modulus
Effect of basalt fiber on fracture properties and drying shrinkage of alkali-activated slag with different silicate modulus Open
This study investigated the impact of basalt fiber on the microstructure, compressive strength, fracture properties, and drying shrinkage of alkali-activated slag (AAS) with varying silicate modulus (Ms) of activators. The AAS samples were…
View article: Deep Learning-Aided High-Robust Pier Settlement Monitoring of a Large-Span Concrete Bridge Under Construction Considering Harsh Environment
Deep Learning-Aided High-Robust Pier Settlement Monitoring of a Large-Span Concrete Bridge Under Construction Considering Harsh Environment Open
View article: State-of-the-art and annual progress of bridge engineering in 2021
State-of-the-art and annual progress of bridge engineering in 2021 Open
Bridge construction is one of the cores of traffic infrastructure construction. To better develop relevant bridge science, this paper introduces the main research progress in China and abroad in 2021 from 12 aspects. The content consists o…
View article: Influence of Different Meteorological Factors on the Accuracy of Back Propagation Neural Network Simulation of Soil Moisture in China
Influence of Different Meteorological Factors on the Accuracy of Back Propagation Neural Network Simulation of Soil Moisture in China Open
Soil moisture is one of the most critical elements of the Earth system and is essential for the study of the terrestrial water cycle, ecological processes, climate change, and disaster warnings. In this study, the training sample was selec…
View article: Shear behavior of notched connection for glubam-geopolymer concrete composite structures: Experimental investigation
Shear behavior of notched connection for glubam-geopolymer concrete composite structures: Experimental investigation Open
The glubam (glue-laminated bamboo)-geopolymer concrete composite (BGCC) structure is a possible way to achieve sustainable construction due to its combination of renewable resources and industrial waste. This study combined glubam and geop…
View article: An Improved Spatiotemporal Data Fusion Method for Snow-Covered Mountain Areas Using Snow Index and Elevation Information
An Improved Spatiotemporal Data Fusion Method for Snow-Covered Mountain Areas Using Snow Index and Elevation Information Open
Remote sensing images with high spatial and temporal resolution in snow-covered areas are important for forecasting avalanches and studying the local weather. However, it is difficult to obtain images with high spatial and temporal resolut…
View article: Long-Term Spatiotemporal Characteristics and Impact Factors of Land Surface Temperature of Inhabited Islands with Different Urbanization Levels
Long-Term Spatiotemporal Characteristics and Impact Factors of Land Surface Temperature of Inhabited Islands with Different Urbanization Levels Open
Surface thermal environment (STE) is closely related to the comfort and health of residents, affecting regional livability, and its spatial and temporal changes are deeply affected by the urbanization process. Considering there is a lack o…
View article: Experimental Research on Flexural Mechanical Properties of Ultrahigh Strength Concrete Filled Steel Tubes
Experimental Research on Flexural Mechanical Properties of Ultrahigh Strength Concrete Filled Steel Tubes Open
Based on the project of the Guansheng Qujiang Bridge, the flexural mechanical properties of an ultrahigh strength concrete filled steel tube (UHSCFST) were discussed. A total of six UHSCFST beam specimens were tested, and the cube strength…
View article: The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images
The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images Open
Research on the impact of anthropogenic heat discharge in a thermal environment is significant in climate change research. Central heating is more common in the winter in Northeast China as an anthropogenic heat. This study investigates th…
View article: Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization
Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization Open
Soil moisture content (SMC) plays an essential role in geoscience research. The SMC can be retrieved using an artificial neural network (ANN) based on remote sensing data. The quantity and quality of samples for ANN training and testing ar…
View article: Influence of Basalt Fiber on the Performance of Alkali-Activated Slag with Different Activators
Influence of Basalt Fiber on the Performance of Alkali-Activated Slag with Different Activators Open
View article: Estimating Daily Actual Evapotranspiration at a Landsat-Like Scale Utilizing Simulated and Remote Sensing Surface Temperature
Estimating Daily Actual Evapotranspiration at a Landsat-Like Scale Utilizing Simulated and Remote Sensing Surface Temperature Open
Actual evapotranspiration (ET) with high spatiotemporal resolution is very important for the research on agricultural water resource management and the water cycle processes, and it is helpful to realize precision agriculture and smart agr…
View article: Improving the Classification Accuracy of Annual Crops Using Time Series of Temperature and Vegetation Indices
Improving the Classification Accuracy of Annual Crops Using Time Series of Temperature and Vegetation Indices Open
Accurate cropland classification is important for agricultural monitoring and related decision-making. The commonly used input spectral features for classification cannot be employed to effectively distinguish crops that have similar spect…
View article: Prediction of heavy metal content in multivariate chaotic time series based on LSTM
Prediction of heavy metal content in multivariate chaotic time series based on LSTM Open
View article: Urban built-up areas extraction by the multiscale stacked denoising autoencoder technique
Urban built-up areas extraction by the multiscale stacked denoising autoencoder technique Open
Stacked denoising autoencoder (SDAE) model has a strong feature learning ability and has shown great success in the classification of remote sensing images. However, built-up area (BUA) information is easily interfered with by broken rocks…
View article: Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration
Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration Open
Using Surface Energy Balance System (SEBS) to estimate actual evapotranspiration (ET) on a regional scale generally uses gridded meteorological data by interpolating data from meteorological stations with mathematical interpolation. The he…
View article: Semantic Segmentation of Building Roof in Dense Urban Environment with Deep Convolutional Neural Network: A Case Study Using GF2 VHR Imagery in China
Semantic Segmentation of Building Roof in Dense Urban Environment with Deep Convolutional Neural Network: A Case Study Using GF2 VHR Imagery in China Open
This paper presents a novel approach for semantic segmentation of building roofs in dense urban environments with a Deep Convolution Neural Network (DCNN) using Chinese Very High Resolution (VHR) satellite (i.e., GF2) imagery. To provide a…