Jonathan V. Solórzano's Projects
Repo with template to make an article using RMarkdown
Classifies Landsat surface relectance annual mosaics (can be done with the scripts found here) in degraded and non degraded high productivity vegetation
Analysis scripts and data
Curso básico para aprender a utilizar QGIS 3.4
Material del curso de SIG en R
Pruebas figuras Echarts
Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
Collection of TensorFlow 2.0 code for Earth Observation applications
Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm
Manual para Google Earth Engine
Open source book: Geocomputation with R
GEE Javascript API scripts to obtain the number of cloudless observations (using Landsat 4, 5, 7, 8 and Sentinel-2)
Ayuda para correr la rutina en GEE que crea mosaicos
GEE Javascript API script for obtaining the number of cloudless observations using Sentinel-2 in MX (by ecoregion)
Personal site
Contains functions that enable the construction of linear models with different parameters, cross validation implementation and the calculation of a random goodness-of-fit ditribution. These models are specially useful for studies that use remote sensing variables as independent variables to describe or predict measured-in-field community attributes.
Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Working with U-net in R
U-net for deforestation detection
Keras implementation of U-Net using R
Calculate basic plant community structural and diversity attributes