Application of deep learning for earth observation.
This repo contain the most common tools used in geospatial analysis using python!
It is One of the Easiest Problems in Data Science to Detect the MNIST Numbers, Using a Classification Algorithm, Here I have used a csv File which contains the Pixels of the Numbers from 0 to 9 and we have to Classify the Numbers Accordingly. I have Used K-Means Classification Algorithm.
Integration examples and showcase of <geosys/>platform capabilities.
Downloads satellite imagery directly from star.nesdis.noaa.gov. Also compiles gifs and a few other utilities.
Discovering water reservoir from Google maps using Python & OpenCv
This repository consolidate various analysis on EarthDaily Agro services and conference contributions.
raster imagery change detection!
Used KMeans algorithm to perform imagery analysis or image classification. Also obtained the MNSIT database from Sci-kit Learn
Processor showcasing how to generate alerts at regional level based on weather and vegetation status
Remote sensing analysis of the Cache Slough Complex using Sentinel‐2, Google Earth Engine, and ArcGIS Pro, with seasonal NDMI maps, spectral signatures, and a final project poster.
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