Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020
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Updated
May 29, 2020 - Jupyter Notebook
Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020
An information model for spatially-discrete, feature-based earth observations.
An acquisition and processing toolkit for open access phenology data.
RasterSmith is a package to preprocess different NASA Earth observing satellite data products into common resolution, spatial reference, and format for easy analysis and processing across sensors.
Saraswati is a robust, multi-channel audio recording, transmission and storage system
☂️🛰️ This work is for a NASA-funded project using Earth observations to improve methods available for estimating the health damages of extreme weather events in Texas.
Flask application to create an overview of SAR datasets & to visualize time series data of individual pixels
A comprehensive collection of global earth science and geospatial datasets 🌍
SAVeTrEE is a script within Google Earth Engine for classifying areas of vegetation mortality. It prompts the user for a year, duration, and spectral index for which a mortality map should be produced, then fits a trend line to an imagery time sequence of vegetative spectral index values calculated from Landsat multispectral data. The slope of t…
Projects of remote sensing with Google Earth Engine scripts
Scripts of useful functions in Google Earth Engine for remote sensing geospatial data analysis
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