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Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

Achievements

Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

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Chintan2108/README.md

Hi there 👋 I'm Chintan B. Maniyar!

  • 🔭 Currently working on: Global Water Quality Analysis using Remote Sensing (CyanoHABs, Salinity, TSS Modeling)
  • 🌱 Currently learning: Deep learning, Computer Vision, NLP and Geography.
  • 👯 Looking to collaborate with AI/ML/DL and/or Water Quality enthusiasts in the Remote Sensing Community.
  • ⚡ My Interests: Biophysical Modeling, Satellite Image Processing, Machine/Deep Learning, NLP, Google Earth Engine, Environment Conservation, Astronomy ✨
  • 📫 How to reach me: Mail or LinkedIn

codeSTACKr.com codeSTACKr | YouTube codeSTACKr | LinkedIn codeSTACKr | Instagram

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  1. cyanotracker/Cyanosense-2.0 cyanotracker/Cyanosense-2.0 Public

    A low-cost hyperspectral HAB-sensor

    HTML

  2. Cloud-Removal-in-Satellite-Images-using-Conditional-Generative-Adversarial-Networks Cloud-Removal-in-Satellite-Images-using-Conditional-Generative-Adversarial-Networks Public

    Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GANs.

    Jupyter Notebook 35 11

  3. Water-Based-Indices-on-Sentinel-2A-Images-using-Python Water-Based-Indices-on-Sentinel-2A-Images-using-Python Public

    Satellite Image Processing, Feature Extraction using Python on level 2A Sentinel 2 satellite imagery to enhance water bodies.

    Jupyter Notebook 32 14

  4. Object-Oriented-Deep-Learning-for-Building-Extraction Object-Oriented-Deep-Learning-for-Building-Extraction Public

    This repository explores object detection and building extraction from high resolution satellite imagery. With Object Based Image Analysis (OBIA) in the base, a new and unique method of merging seg…

    Jupyter Notebook 7

  5. NDVI-and-Vegetation-Health-Calculation NDVI-and-Vegetation-Health-Calculation Public

    Land and Vegetation Remote Sensing - A webapp build and deployed in Google Earth Engine, to calculate the Normalised Vegetation Difference Index of a visible vegetation cover and use the same to an…

    JavaScript 12 6

  6. Satellite-Timeseries-Extractor-Tool Satellite-Timeseries-Extractor-Tool Public

    An interactive python-based tool to download time-series data for all sensors available on Google Earth Engine's data catalog.

    Python 5 2