r-earthengine / cheatsheet
🌎🌏🌏 Google Earth Engine with R : : Cheatsheet 🚀
☆17Updated 3 years ago
Alternatives and similar repositories for cheatsheet:
Users that are interested in cheatsheet are comparing it to the libraries listed below
- Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020☆15Updated 4 years ago
- Exploring RGEE.☆23Updated 2 years ago
- Extension for rgee☆43Updated last year
- LandsatTS is an R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time-series data.☆28Updated 5 months ago
- R package for landscape stratification, sampling, and modeling of environmental phenomena using spatial data in R.☆16Updated 2 years ago
- R package for harmonic modelling of time-series data☆29Updated 4 years ago
- Predictive soil mapping aiming at making complete consistent soil type maps of the world☆21Updated last year
- Rmarkdown tutorial on how to generate spatial sampling and how to use resampling methods for ML☆13Updated last year
- An R package for soil erosion modeling☆18Updated 2 years ago
- R package to support Remote Sensing oriented field work☆15Updated 4 years ago
- Presentations for the OpenGeoHub Summer School 2019: https://opengeohub.org/summer_school_2019☆20Updated last year
- Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.☆22Updated 10 months ago
- Copernicus Data Space Ecosystem API Wrapper☆15Updated last month
- Breakpoint detection of Landsat pixel time series via BFAST-based algorithms, provided as a Shiny app☆19Updated last year
- Import PRISMA hyperspectral data and convert them to a "friendly" format☆30Updated 3 years ago
- Evaluating the performance of various point cloud processing tools.☆18Updated 4 months ago
- R package for Raster Time Series Analysis☆11Updated 5 years ago
- Create tidyverse methods for dealing with GEE image and imageCollections.☆48Updated last year
- Raster processing benchmarks for Python and R packages☆27Updated last year
- A QGIS plugin which aids the assessment of classification accuracy derived from earth observation data☆12Updated last year
- ☆24Updated 5 years ago
- ☆24Updated last month
- Plant trait maps produced using iNaturalist citizen science data☆11Updated 10 months ago
- Material for the course on machine-learning based environmental monitoring at geostat 2018☆37Updated 6 years ago
- OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training☆11Updated 4 years ago
- R client package for working with openEO backends☆65Updated 2 months ago
- R package to analyze trajectories of a time series☆11Updated 5 months ago
- A collection of 250+ examples for using Google Earth Engine in R☆31Updated 4 years ago