Carlos Hernandez (Carlitosh)

Carlitosh

Geek Repo

Location:Manhattan, Kansas

Twitter:@carlitos_m_h

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Carlos Hernandez's repositories

AgERA5

R toolbox to download and extract data from the "Agrometeorological indicators from 1979 to present derived from reanalysis" (aka AgERA5) dataset.

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agronomic_calculator_example

VCS workshop example

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apsimRegions

ApsimRegions is a one-way nested climate-crop modeling framework that links gridded weather data (rain, temperature, radiation, etc.) with the point-specific APSIM crop model.

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apsimx

R package for APSIM-X

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BigSpatialDataR

Slides and lecture notes on how to process large spatial data with R

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cheatsheets

RStudio Cheat Sheets

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CiampittiLab_Rcourse_23

This is a repo for publishing the data and codes for the R course Fall 2023 edition for Ciampitti Lab team members at Kansas State University.

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clisops

Climate Simulation Operations

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DSen2

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

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Evapotranspiration_Project

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

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geeSEBAL

A new open source and web tool to estimate actual ET based on SEBAL model.

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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

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Millennial

A minimalist Jekyll theme for running a blog or publication powered by Jekyll and GitHub Pages

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Modeling

Training and applying crop yield models

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NASAP_CHIRPS_WTH

Routines to download weather data from the NASA POWER application and merge with CHIRPS dataset to produce WTH files.

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pydssat

pydssat is a python project to run DSSAT47 model in python ,as well as creating/modification important files for DSSAT model.

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pythia

Another Gridded Modeling Framework

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SNAP

Workbooks and files needed to operate the Soybean Nodule Acquisition Pipeline (SNAP). This pipeline enables users to quantify nodules on soybean roots and soybean taproots.

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Soil_Moisture

Presents an optimised Sentinel-1-based Soil Moisture estimation workflow on tilted topography with permanent vegetation cover

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statasaurusweb

Statasaurus website

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traDSSAT

A (friendly) DSSAT input and output file reader and writer.

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