baldomarco / SVITLinks
SVIT is an algorithm developed for the Satellite Vegetation Indices Trend analysis in the work Baldo et al., 2023. In this repository you can find the replicable R codes for the analysis and the validation statistical tests.
☆17Updated 2 months ago
Alternatives and similar repositories for SVIT
Users that are interested in SVIT are comparing it to the libraries listed below
Sorting:
- ☆13Updated last month
- Google Earth Engine for R☆22Updated 2 years ago
- Google Earth Engine for R☆741Updated last week
- rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.☆174Updated 4 months ago
- List of all Mapbiomas repositories☆19Updated 4 years ago
- ☆86Updated 3 years ago
- Satellite image time series in R☆510Updated this week
- Find, Download and Process Sentinel-2 Data☆162Updated last year
- This software is a compilation of functions made in R to analyze orthomosaic images from research field trials from agriculture or plant …☆39Updated last month
- MapBiomas training sessions☆22Updated last year
- An introduction to geospatial analysis using Google Earth Engine☆10Updated 4 months ago
- Remote Sensing Data Analysis in R 🛰☆284Updated 2 months ago
- A set of common color palettes for Google Earth Engine☆324Updated 4 years ago
- ☆162Updated this week
- A set of tools to use in Google Earth Engine Code Editor (JavaScript)☆320Updated last year
- A tool for calculating landscape connectivity and other ecologically scaled landscape metrics☆23Updated 3 months ago
- Various examples for Google Earth Engine in Javascript☆99Updated 7 years ago
- pontiPy: A Python Library for Detecting Change in a Cross-Tab Matrix☆13Updated 2 years ago
- A Collection of Python and Javascript Script to perform Geographical analysis using Google Earth Engine Python API and Javascript Code Ed…☆36Updated 6 months ago
- Repository for all things pre-innovation-summit-training☆10Updated last year
- Code produced for the GEE-GEO Aquawatch project.☆14Updated 2 years ago
- Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:☆216Updated last year
- R codes to be used within QGIS for Precision Agriculture applications☆14Updated 4 years ago
- R package to access Bio-Oracle data via ERDDAP☆16Updated 10 months ago
- Landscape Metrics for Categorical Map Patterns 🗺️ in R☆250Updated 4 months ago
- Google Earth Engine app for aggregating Landsat and Sentinel-2 satellite imagery☆10Updated 5 months ago
- WhiteboxTools R Frontend☆176Updated 2 weeks ago
- A phenology modelling framework in R☆49Updated last month
- scripts and snippets for Google Earth Engine☆265Updated 6 years ago
- 📦🐍 Mapping deforestation risk following JNR methodology☆26Updated last year