Currently, I am working in the Global Land Analysis and Discovery (GLAD) laboratory in the Department of Geographical Sciences at the University of Maryland. I qualified as a graduate in MSGIS from Clark University and a undergraduate in Geodesy and Geomatics from Wuhan University. My interests are landcover mapping, machine learning, deep learning, computer vision, and spatial data analysis. I love to code to make work efficient, convert ideas to products, and help people. My three characteristics are: learn fast, work hard, and think smart. Outside the raster and vector, I like movies, music, and traveling.
TOC Curve Generator is a computer program to make TOC curves. Users can generate TOC curves from various file formats and customize TOC curves for research.
View ProjectThis project is mapping an inventory of pond aquaculture and coastal habitats in Bangladesh, Cambodia, Ecuador, India, Indonesia, Malaysia, Myanmar, Thailand, and Vietnam. I am working on the statistics display with interactive charts on the website.
View ProjectThis project is to generate the gridded population map in 2018 in Somalia by using Random Forest and an improved method.
View ProjectThis project is to analyze the COVID-19 related tweets in 30 days in the US continent spatially and temporally.
View ProjectThe programs developed in Python to make daily work efficient. They helped to sample potential flood observations, search and update datasets, and inspect and categorize image chips.
View ProjectThis project is using coherence information from SAR images to generate deforesation map. We compare the result with the existing deforestation products to see if changes in estimate coherence can complement changes in backscatter for deforestation monitoring, and hence strengthen deforestation detection using Sentinel-1.
View Project