carlitosh Goto Github PK
Name: Carlos Hernandez
Type: User
Bio: Agricultural Engineer - Geospatial data scientist - UNRC - KSU - R & Python - DigitalAg & Data Analytics in Agriculture
Twitter: carlitos_m_h
Location: Manhattan, Kansas
Carlos Hernandez's Projects
earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
earthengine-py-notebooks
A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
earthenginemastergis
Conviertete en un especialista en Google Earth Engine
eetc
ejemplos-con-widget-pyqt-4
esahub
A useful tool for bulk-downloading Sentinel satellite data
evapo_gfs
calculate EVAPOTRANSPIRATION (Et0) from GFS data on a specific area and for a date within the last 14 days
evapotranspiration_project
Repository for my Master thesis project on estimation evapotranspiration through energy balance models and creating a Random Forest Classifier.
ezzone
Agricultural Management Zone creator
fast-pandas
Benchmark for different operations in pandas against various dataframe sizes.
floodmaps
folium
Python Data. Leaflet.js Maps.
forecasting_yield_corn
Comparacion de algoritmos para poder realizar un modelo de prediccion para estimar el rendimiento de maiz
frost-alerter
A python script to send an email alert when frost is forecast
frostmapping
Frost Mapping using inputs from Numerical Weather Predictions output variables
gdal-cheat-sheet
Cheat sheet for GDAL/OGR command-line tools
gee_various
geepy
Access google earth engine products for a time-series analysis
geesebal
A new open source and web tool to estimate actual ET based on SEBAL model.
gstatpy
harvestcleanr
hdfeos_python_zoo
Example codes in Python for HDF-EOS
hlj_soybean_map
A 30-m dataset that mapped the areas of soybean planting in Heilongjiang Province was produced, for the period of 1984~2020, based on Landsat-5/7/8 images and the Google Earth Engine (GEE) platform. Maps were made with a random forest classifier and phenological features extracted by a double-logistic model and a linear harmonic model. Here share o
hotspotanalysis_plugin
A QGIS plugin for hotspot analysis
introduccion-python-geoespacial
Introducción a Python para usos geoespaciales
jupyter
Jupyter metapackage for installation, docs and chat
landsat-extract-gee
Get Landsat surface reflectance time-series from google earth engine
layersstack
map-filter-qgis
millennial
A minimalist Jekyll theme for running a blog or publication powered by Jekyll and GitHub Pages
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