Wei Yang
Orcid: 0000-0002-4597-877XAffiliations:
- Chiba University, Center for Environmental Remote Sensing, Chiba, Japan
- Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing, China (former)
- University of Tsukuba, Graduate School of Environmental and Life Science, Japan (former)
According to our database1,
Wei Yang
authored at least 26 papers
between 2009 and 2023.
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Bibliography
2023
Landsat-8 to Sentinel-2 Satellite Imagery Super-Resolution-Based Multiscale Dilated Transformer Generative Adversarial Networks.
Remote. Sens., November, 2023
R-MFNet: Analysis of Urban Carbon Stock Change against the Background of Land-Use Change Based on a Residual Multi-Module Fusion Network.
Remote. Sens., June, 2023
MSAGAN: A New Super-Resolution Algorithm for Multispectral Remote Sensing Image Based on a Multiscale Attention GAN Network.
IEEE Geosci. Remote. Sens. Lett., 2023
2022
R-IMNet: Spatial-Temporal Evolution Analysis of Resource-Exhausted Urban Land Based on Residual-Intelligent Module Network.
Remote. Sens., 2022
Improving Remote Estimation of Vegetation Phenology Using GCOM-C/SGLI Land Surface Reflectance Data.
Remote. Sens., 2022
Quantifying Water Consumption through the Satellite Estimation of Land Use/Land Cover and Groundwater Storage Changes in a Hyper-Arid Region of Egypt.
Remote. Sens., 2022
2020
A New Cross-Fusion Method to Automatically Determine the Optimal Input Image Pairs for NDVI Spatiotemporal Data Fusion.
IEEE Trans. Geosci. Remote. Sens., 2020
2019
Interactions among the Phenological Events of Winter Wheat in the North China Plain-Based on Field Data and Improved MODIS Estimation.
Remote. Sens., 2019
Cropland Mapping Using Fusion of Multi-Sensor Data in a Complex Urban/Peri-Urban Area.
Remote. Sens., 2019
Replacing the Red Band with the Red-SWIR Band (0.74<i>ρ</i><sub>red</sub>+0.26<i>ρ</i><sub>swir</sub>) Can Reduce the Sensitivity of Vegetation Indices to Soil Background.
Remote. Sens., 2019
2018
In Situ Observations Reveal How Spectral Reflectance Responds to Growing Season Phenology of an Open Evergreen Forest in Alaska.
Remote. Sens., 2018
A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery.
Remote. Sens., 2018
Modeling three-dimensional forest structures to drive canopy radiative transfer simulations of bidirectional reflectance factor.
Int. J. Digit. Earth, 2018
2017
An Orthogonal Fisher Transformation-Based Unmixing Method Toward Estimating Fractional Vegetation Cover in Semiarid Areas.
IEEE Geosci. Remote. Sens. Lett., 2017
2015
A Modified Semianalytical Algorithm for Remotely Estimating Euphotic Zone Depth in Turbid Inland Waters.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
An improved atmospheric correction algorithm for applying MERIS data to very turbid inland waters.
Int. J. Appl. Earth Obs. Geoinformation, 2015
2014
Remote Estimation of Chlorophyll-<i>a</i> in Inland Waters by a NIR-Red-Based Algorithm: Validation in Asian Lakes.
Remote. Sens., 2014
A Simple Method for Retrieving Understory NDVI in Sparse Needleleaf Forests in Alaska Using MODIS BRDF Data.
Remote. Sens., 2014
Application of a Semianalytical Algorithm to Remotely Estimate Diffuse Attenuation Coefficient in Turbid Inland Waters.
IEEE Geosci. Remote. Sens. Lett., 2014
2013
Retrieval of Inherent Optical Properties for Turbid Inland Waters From Remote-Sensing Reflectance.
IEEE Trans. Geosci. Remote. Sens., 2013
An Inherent Limitation of Solar-Induced Chlorophyll Fluorescence Retrieval at the O<sub>2</sub>-A Absorption Feature in High-Altitude Areas.
IEEE Geosci. Remote. Sens. Lett., 2013
2011
A Relaxed Matrix Inversion Method for Retrieving Water Constituent Concentrations in Case II Waters: The Case of Lake Kasumigaura, Japan.
IEEE Trans. Geosci. Remote. Sens., 2011
2010
An Enhanced Three-Band Index for Estimating Chlorophyll-a in Turbid Case-II Waters: Case Studies of Lake Kasumigaura, Japan, and Lake Dianchi, China.
IEEE Geosci. Remote. Sens. Lett., 2010
Sci. China Inf. Sci., 2010
2009
Generalization of Subpixel Analysis for Hyperspectral Data With Flexibility in Spectral Similarity Measures.
IEEE Trans. Geosci. Remote. Sens., 2009