Xiaoyang Zhang
Orcid: 0000-0001-8456-0547Affiliations:
- South Dakota State University, Department of Geography and Geospatial Sciences, Geospatial Sciences Center of Excellence, Brookings, SD, USA
- National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service Center of Satellite Applications and Research, Camp Springs, MD, USA
- King's College London, UK (PhD 1999)
According to our database1,
Xiaoyang Zhang
authored at least 35 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on sdstate.edu
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on orcid.org
On csauthors.net:
Bibliography
2024
Matching Spring Phenology Indicators in Ground Observations and Remote-Sensing Metrics.
Remote. Sens., July, 2024
Estimating Brazilian Amazon Canopy Height Using Landsat Reflectance Products in a Random Forest Model with Lidar as Reference Data.
Remote. Sens., July, 2024
Monitoring Total Phosphorus Concentration in the Middle Reaches of the Yangtze River Using Sentinel-2 Satellites.
Remote. Sens., May, 2024
Estimating Soybean Yields Using Causal Inference and Deep Learning Approaches With Satellite Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Analyzing Trend in Modis Derived Crop Phenology for Corn and Soybean in Comparison with Field-Based Crop Progress Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Characteristics of Greening along Altitudinal Gradients on the Qinghai-Tibet Plateau Based on Time-Series Landsat Images.
Remote. Sens., 2022
Soybean EOS Spatiotemporal Characteristics and Their Climate Drivers in Global Major Regions.
Remote. Sens., 2022
Spatial Difference between Temperature and Snowfall Driven Spring Phenology of Alpine Grassland Land Surface Based on Process-Based Modeling on the Qinghai-Tibet Plateau.
Remote. Sens., 2022
10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-Scale Land Surface Phenology.
Remote. Sens., 2021
Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions.
Remote. Sens., 2021
Evaluating a spatiotemporal shape-matching model for the generation of synthetic high spatiotemporal resolution time series of multiple satellite data.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Biomass Burning in Africa: An Investigation of Fire Radiative Power Missed by MODIS Using the 375 m VIIRS Active Fire Product.
Remote. Sens., 2020
Precipitation and Minimum Temperature are Primary Climatic Controls of Alpine Grassland Autumn Phenology on the Qinghai-Tibet Plateau.
Remote. Sens., 2020
Spatiotemporal characteristics of white mold and impacts on yield in soybean fields in South Dakota.
Geo spatial Inf. Sci., 2020
Development of Global Land Surface Phenology Product from Time Series of VIIRS Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Crop Growth Condition Assessment at County Scale Based on Heat-Aligned Growth Stages.
Remote. Sens., 2019
Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables.
Remote. Sens., 2019
How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes?
Remote. Sens., 2019
Evaluating land surface phenology from the Advanced Himawari Imager using observations from MODIS and the Phenological Eyes Network.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Real-Time Monitoring of Crop Phenology in the Midwestern United States Using VIIRS Observations.
Remote. Sens., 2018
An Exploration of Terrain Effects on Land Surface Phenology across the Qinghai-Tibet Plateau Using Landsat ETM+ and OLI Data.
Remote. Sens., 2018
2017
Characterizing Land Cover Impacts on the Responses of Land Surface Phenology to the Rainy Season in the Congo Basin.
Remote. Sens., 2017
Remote. Sens., 2017
Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product.
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
A Comparison of Tropical Rainforest Phenology Retrieved From Geostationary (SEVIRI) and Polar-Orbiting (MODIS) Sensors Across the Congo Basin.
IEEE Trans. Geosci. Remote. Sens., 2016
2015
Reconstruction of Daily 30 m Data from HJ CCD, GF-1 WFV, Landsat, and MODIS Data for Crop Monitoring.
Remote. Sens., 2015
Change in our MIDST: Toward detection and analysis of urban land dynamics in North and South America.
Proceedings of the Joint Urban Remote Sensing Event, 2015
2014
A Cross Comparison of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites and Ground in a Northern U.S. Mixed Forest.
IEEE Trans. Geosci. Remote. Sens., 2014
2011
IEEE Trans. Geosci. Remote. Sens., 2011
2009
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2009
2004
Global land-water mask derived from MODIS Nadir BRDF-adjusted reflectances (NBAR) and the MODIS land cover algorithm.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004
2002
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
Using MODIS data to study the relation between climatic spatial variability and vegetation phenology in northern high latitudes.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002