sonthuybacha's repositories
AnomalyDetection
Anomaly Detection with R
awesome-R
A curated list of awesome R frameworks, packages and software.
BFAST2MODIS
applying bfast on MODIS NDVI time series for the Advanced Earth Observation Class @ Wageningen University
biomass
R-Codes for RSE manuscript "Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass"
Chitwan_MODIS_SVIs
Prepare MODIS MOD13Q1 and MYD13Q1 vegetation products for TIMESAT.
CIDA-Viz
Datasets and docs for CIDA's data visualization challenge
FiresCD
Object-Based Image Analysis (OBIA) of Landsat images for fire mortality classification.
ggSpatial-1
Easy plotting of spatial objects with ggplot2
interpolate_ndvi_satellite_image
Repository for building daily NASA Normalized Difference Vegetation Index from satellite images.
landsat-util
A utility to search, download and process Landsat 8 satellite imagery
Landsat_Processing
Code for processing TEAM network landsat data
multifuse
Multi-sensor Time series Fusion (MulTiFuse)
paperProject
My project structure and management when working on scientific papers. To spend my time more efficiently.
R-GIS-tutorial
Spatial data in R: using R as a GIS
R-hacks
useful bits of code for programming and analysis in R
remote-sensing-aquaculture
Remote sensing: tracking aquaculture in South Vietnam through Google Earth Engine
rgrowth
Post-disturbance regrowth monitoring using Landsat Time Series (LTS)
segmentInterpreter
:mag_right: :deciduous_tree: R shiny application to aid visual interpretation of partitioned time-series
sgdm_package
SGDM package
swc-bootcamp-material
My personal teaching material for Software Carpentry Bootcamps
team_npp
Scripts to download MODIS MOD17A3, and calculate NPP stats for the TEAM sites
teamcode
The github repository for TEAM
teamlucc
Analysis of land use and cover change using satellite imagery
tensorflow
Computation using data flow graphs for scalable machine learning
VCF
Utilities for working with the Landsat based tree cover data