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Banco de Machala S.A.
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- @juancarloscno
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Lists (27)
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Carbon Footprint
List of repository's carbon footprints to use in my projects.Climate Change
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List of tools, libraries, and so on applicable to Cloud environments.Code Art
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A list of libraries, scripts, toolboxes, and more related to the Earth Observation field.Edu
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JSON Tables for CMOR3 to create CMIP6 dataset
CaMa-Flood_v4 development master
ClimateImpactLab / xclim
Forked from Ouranosinc/xclimLibrary of derived climate variables, ie climate indicators, based on xarray.
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. prec…
A modular graph-based Retrieval-Augmented Generation (RAG) system
Statistical climate downscaling in Python
Climate downscaling using CMIP6 data
Sources codes for: Mastering Python for Finance, Second Edition
Self-Supervised SISR for Sentinel-2 L1B Imagery
Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing…
img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.
Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
Onboarding, creation and transformation of climate hazard models for OS-Climate
OpenClimateGIS is a set of geoprocessing and calculation tools for CF-compliant climate datasets.
icclim: Python library for climate indices and climate indicators calculation.
PySAL: Python Spatial Analysis Library Meta-Package
Use a docx as a jinja2 template
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
The CCD-Plugin uses Google Earth Engine to get Landsat or Sentinel2 datasets and run the Continuous Change Detection (CCDC) algorithm to analyze the trends and breakpoints of change over multi-year…