JonathanVSV

GEE_manual

Manual para Google Earth Engine

Landsat-Sentinel-Obs

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

MxMosaic_EE

Ayuda para correr la rutina en GEE que crea mosaicos

PerPixelObsSentinel-2

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

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-netR

Working with U-net in R

U-netRDef

U-net for deforestation detection

VegCommunity

Calculate basic plant community structural and diversity attributes

JonathanVSV/U-netR

Working with U-net in R

JonathanVSV/Landsat-Sentinel-Obs

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

JonathanVSV/PerPixelObsSentinel-2

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

JonathanVSV/GEE_manual

Manual para Google Earth Engine

JonathanVSV/MxMosaic_EE

Ayuda para correr la rutina en GEE que crea mosaicos

JonathanVSV/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.

JonathanVSV/U-netRDef

U-net for deforestation detection

JonathanVSV/VegCommunity

Calculate basic plant community structural and diversity attributes

JonathanVSV/bfast_params_extr

JonathanVSV/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

JonathanVSV/Conserved-vs-Degraded-Forest

Analysis scripts and data

JonathanVSV/Ppage2

Personal site

JonathanVSV/Cuilala-map

JonathanVSV/CursoQGIS

Curso básico para aprender a utilizar QGIS 3.4

JonathanVSV/CursoSIG

Material del curso de SIG en R

JonathanVSV/ee-tensorflow-notebooks

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

JonathanVSV/eo-flow

Collection of TensorFlow 2.0 code for Earth Observation applications

JonathanVSV/gee-ccdc-tools

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

JonathanVSV/geocompr

Open source book: Geocomputation with R

JonathanVSV/JonathanVSV

JonathanVSV/Page

Personal Page

JonathanVSV/Satellite-Images-Classification-with-Keras-R

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

JonathanVSV/segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

JonathanVSV/unet

Keras implementation of U-Net using R