Carlitosh

metrica

Prediction Performance Metrics

AgERA5

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

Agra

Agra es un sistema de generación y lectura de etiquetas vinculadas a proyectos de experimentación a campo.

AquaCrop_Py

Python implementation of AquaCropOS

BigSpatialDataR

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

Cleaner-Map-Yield

Cleaner Map Yield es un pequeño software para poder realizar limpiezas de datos de mapas de rendimientos. Este esta realizado en Python con la biblioteca Numpy, PyQt , PySal.

DeWattaMj

DeWattaMj es un pequeño programa para poder realizar el calculo del área bajo la curva de los datos de radiación tomados cada diez minutos por las estaciones meteorológicas del ministerio de Agricultura y Ganadería de la Provincia de Cordoba. En otras palabras tiene como objetivo convertir datos de radiación solar en Watt/m2 a Mj/m2

geeSEBAL

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

Harmonic_Function_L8_GEE

NDVI-descarga-rapida

Pequeño programa que permite descargar imagenes NDVI de un poligono que debe ser cargado en formato geojson en una carpeta determinada. El programa descarga todas las imagenes que existen entre dos fechas especificadas en el archivo "listador de archivos.py"

Carlitosh/Harmonic_Function_L8_GEE

Carlitosh/AgERA5

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

Carlitosh/agronomic_calculator_example

VCS workshop example

Carlitosh/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.

Carlitosh/apsimx

R package for APSIM-X

Carlitosh/geeSEBAL

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

Carlitosh/Bayesian-Inference-of-Spatially-Correlated-Random-Parameters-for-On-farm-Experiment

Carlitosh/cheatsheets

RStudio Cheat Sheets

Carlitosh/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.

Carlitosh/clisops

Climate Simulation Operations

Carlitosh/Data-Science-with-R

Carlitosh/digital_geospatial_tools_climate_zones_senegal

Carlitosh/DSen2

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

Carlitosh/DSSAT

Carlitosh/eetc

Carlitosh/GSTATpy

Carlitosh/HarvestCleanR

Carlitosh/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

Carlitosh/LayersStack

Carlitosh/Millennial

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

Carlitosh/Modeling

Training and applying crop yield models

Carlitosh/pacu

"pacu: Precision Agriculture Computational Utilities"

Carlitosh/pythia

Another Gridded Modeling Framework

Carlitosh/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.

Carlitosh/Soil_Moisture

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

Carlitosh/SoilNet

A Spatio-temporal Framework for Soil Property Prediction with Digital Soil Mapping (DSM)

Carlitosh/statasaurusweb

Statasaurus website

Carlitosh/Stats_Hub_2022

Carlitosh/uncertainty-quantification

Carlitosh/usaid_procesos_interfaz

Paquetes para ejecución de pronósticos y modelos de Maíz y Arroz