Yulin Zhan
Orcid: 0000-0001-5771-4168
According to our database1,
Yulin Zhan
authored at least 19 papers
between 2005 and 2024.
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Bibliography
2024
Preliminary Evaluation of Angular Reflectance Downscaling Using FSDAF Spatiotemporal Fusion Model and MODIS BRDF Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
A Spatial Neighborhood Deep Neural Network Model for PM<sub>2.5</sub> Estimation Across China.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
Temporal Shape-Based Fusion Method to Generate Continuous Vegetation Index at Fine Spatial Resolution.
IEEE Trans. Geosci. Remote. Sens., 2022
Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization.
Sensors, 2022
An Improved Spatiotemporal Data Fusion Method for Snow-Covered Mountain Areas Using Snow Index and Elevation Information.
Sensors, 2022
Long-Term Spatiotemporal Characteristics and Impact Factors of Land Surface Temperature of Inhabited Islands with Different Urbanization Levels.
Remote. Sens., 2022
The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images.
Remote. Sens., 2022
Improving leaf area index estimation accuracy of wheat by involving leaf chlorophyll content information.
Comput. Electron. Agric., 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Estimating Daily Actual Evapotranspiration at a Landsat-Like Scale Utilizing Simulated and Remote Sensing Surface Temperature.
Remote. Sens., 2021
Prediction of air particulate matter in Beijing, China, based on the improved particle swarm optimization algorithm and long short-term memory neural network.
J. Intell. Fuzzy Syst., 2021
2020
Improving the Classification Accuracy of Annual Crops Using Time Series of Temperature and Vegetation Indices.
Remote. Sens., 2020
2019
Semantic Segmentation of Building Roof in Dense Urban Environment with Deep Convolutional Neural Network: A Case Study Using GF2 VHR Imagery in China.
Sensors, 2019
2016
Using Moderate-Resolution Temporal NDVI Profiles for High-Resolution Crop Mapping in Years of Absent Ground Reference Data: A Case Study of Bole and Manas Counties in Xinjiang, China.
ISPRS Int. J. Geo Inf., 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Using historical NDVI time series to classify crops at 30m spatial resolution: A case in Southeast Kansas.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA.
Remote. Sens., 2015
2005
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005