This collection contains data sets produced in the the lab of Dr. Xiaoyang Zhang. These data sets are made publicly available in relation to papers submitted for publication in the following journals:
- Journal of Geophysical Research: Atmospheres
- Journal of Geophysical Research: Biogeosciences
- Geophysical Research Letters
- Scientific Data
Submissions from 2025
Dataset supporting the manuscript Fire Spread, Intensity, and Emissions Observations by Multiple Satellites: the Southern California Wildfires of January 2025, Fangjun Li, Xiaoyang Zhang, Mark Cochrane, Shobha Kondragunta, and Shuai An
Data supporting the manuscript : Assessing Global Wildfire Seasonality Variations Using Daily Satellite Data from 2001 to 2022, Ruixuan Li, Xiaoyang Zhang, Fangjun Li, Yongchang Ye, Shuai An, and Aihua Zhu
Submissions from 2024
Global Long-Term Climate Modeling Grid Land Surface Phenology (CMGLSP), Xiaoyang Zhang and Yongchang Ye
Submissions from 2022
Diverse Responses of Multiple Satellite-derived Vegetation Greenup Onsets to Dry Periods in the Amazon, Xiaoyang Zhang, Yu Shen, Shuai Gao, Weile Wang, and Crystal Schaaf
Submissions from 2020
Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-prone Regions, Xiaoman Lu, Fangjun Li, and Xiaoyang Zhang
Development and Evaluation of a New Algorithm for Detecting 30m Land Surface Phenology from VIIRS and HLS Time Series, Xiaoyang Zhang, Jianmin Wang, Geoffrey Henebry, and Feng Gao
Submissions from 2018
Comparision of Fire Radiative Power Estimates from VIIRS and MODIS Observations, Fangjun Li and Xiaoyang Zhang
Investigation of the Fire Radiative Energy Biomass Combustion Coefficient - A Comparison of Polar and Geostationary Satellite Retrievals over the Conterminous United States, Fangjun Li and Xiaoyang Zhang
Investigating Smoke Aerosol Emission Coefficients using MODIS Active Fire and Aerosol Products – A Case Study in the CONUS and Indonesia, Xiaoman Lu, Xiaoyang Zhang, Fangjun Li, and Mark Cochrane
Submissions from 2017
Comparisons of Global Land Surface Seasonality and Phenology Derived from AVHRR, MODIS and VIIRS data, Xiaoyang Zhang