Changjiang S.

GIS and Remote Sensing Data Processing and Algorithm Engineer

Technical Skills: -Remote Sensing Fundamentals: Understanding of electromagnetic spectrum, image acquisition sensors, image processing techniques (e.g., atmospheric correction, geometric correction, radiometric correction) -Programming Languages: Python (with libraries like scikit-image, pandas, NumPy), R (with libraries like raster, rgdal) Machine Learning & Deep Learning: Familiarity with supervised and unsupervised learning algorithms, experience with convolutional neural networks (CNNs) for image analysis -Geospatial Analysis: Knowledge of Geographic Information Systems (GIS) software (e.g., ArcGIS, QGIS) for spatial data analysis -Cloud Computing Platforms: Experience with cloud platforms like Google Earth Engine, Amazon Web Services (AWS) for large-scale data processing Experience: -Prior experience working with remote sensing imagery -Experience with data analysis and machine learning techniques -Experience in a research or engineering environment


  • Remote Sensing