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asuaf's Projects

darts icon darts

A python library for user-friendly forecasting and anomaly detection on time series.

datumaro icon datumaro

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

downscaler.keras icon downscaler.keras

R package for statistical downscaling of daily data based on neural networks. This library integrates the deep learning package Keras in the climate4R framework

dwbmodelun icon dwbmodelun

It is a tool for hydrologic modelling using the Budyko Framework and the Dynamic Water Balance Model, with DDS Tolson and Shoemaker (2007) algorithm to calibrate the model and analyze the outputs.

ee-tensorflow-notebooks icon ee-tensorflow-notebooks

Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.

eemapper icon eemapper

Google Earth Engine Automated Annual Mapping of Irrigated Lands

end-to-end-gee icon end-to-end-gee

Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.

eodal icon eodal

Earth Observation Data Analysis Library

evapotranspiration_project icon evapotranspiration_project

Repository for my Master thesis project on estimation evapotranspiration through energy balance models and creating a Random Forest Classifier.

feature-space icon feature-space

Feature space plugin for QGIS. Visualize spectral feature space

fieldimager icon fieldimager

FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evalu

fieldimager.extra icon fieldimager.extra

Package with new tools to support FIELDimageR software on evaluating GIS images from agriculture field trials.

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