JonathanVSV

U-netR

Working with U-net in R

Landsat-Sentinel-Obs

GEE Javascript API scripts to obtain the number of cloudless observations (using Landsat 4, 5, 7, 8 and Sentinel-2)

PerPixelObsSentinel-2

GEE Javascript API script for obtaining the number of cloudless observations using Sentinel-2 in MX (by ecoregion)

GEE_manual

Manual para Google Earth Engine

MxMosaic_EE

Ayuda para correr la rutina en GEE que crea mosaicos

RSModels

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.

U-netRDef

U-net for deforestation detection

VegCommunity

Calculate basic plant community structural and diversity attributes

bfast_params_extr

Class-HPV-Deg

Classifies Landsat surface relectance annual mosaics (can be done with the scripts found here) in degraded and non degraded high productivity vegetation

Conserved-vs-Degraded-Forest

Analysis scripts and data

Ppage2

Personal site

Cuilala-map

CursoQGIS

Curso básico para aprender a utilizar QGIS 3.4

CursoSIG

Material del curso de SIG en R

eChartTests

Pruebas figuras Echarts

ee-tensorflow-notebooks

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

eo-flow

Collection of TensorFlow 2.0 code for Earth Observation applications

gee-ccdc-tools

Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm

geocompr

Open source book: Geocomputation with R

JonathanVSV

Satellite-Images-Classification-with-Keras-R

Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

unet

Keras implementation of U-Net using R