logan-berner / LandsatTS
LandsatTS is an R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time-series data.
☆27Updated last month
Related projects ⓘ
Alternatives and complementary repositories for LandsatTS
- Extension for rgee☆41Updated last year
- Exploring RGEE.☆22Updated 2 years ago
- Create tidyverse methods for dealing with GEE image and imageCollections.☆48Updated last year
- R package for landscape stratification, sampling, and modeling of environmental phenomena using spatial data in R.☆16Updated 2 years ago
- ☆22Updated 11 months ago
- A package for linking R with the open-source SAGA-GIS☆31Updated 2 months ago
- A collection of 250+ examples for using Google Earth Engine in R☆30Updated 4 years ago
- The goal of supercells is to utilize the concept of superpixels to a variety of spatial data.☆66Updated 2 months ago
- An R package for soil erosion modeling☆16Updated last year
- R client package for working with openEO backends☆61Updated last month
- Efficient analysis of spatial biodiversity datasets for global portfolios☆33Updated this week
- OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training☆11Updated 4 years ago
- 🌎🌏🌏 Google Earth Engine with R : : Cheatsheet 🚀☆17Updated 2 years ago
- Evaluating the performance of various point cloud processing tools.☆17Updated last week
- An R Interface to the Daymet Web Services☆31Updated 9 months ago
- Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.☆21Updated 6 months ago
- Rmarkdown tutorial on how to generate spatial sampling and how to use resampling methods for ML☆13Updated last year
- Slides and lecture notes on how to process large spatial data with R☆43Updated 4 years ago
- R Client Library for SpatioTemporal Asset Catalog☆71Updated 4 months ago
- Landmap package for R☆47Updated 2 years ago
- Simplify the acquisition of remote sensing data☆53Updated 4 years ago
- Case study material for the paper on mapping the area of applicability☆18Updated 2 years ago
- Additional point cloud metrics to use with *_metric functions in lidR☆18Updated 6 months ago
- R tutorials in processing and visualization of environmental data☆13Updated last year
- R Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities☆18Updated 4 years ago
- Fast, accurate zonal statistics for "big" categorical and continuous data☆28Updated 3 weeks ago
- R package to support Remote Sensing oriented field work☆15Updated 4 years ago
- Tutorial on parallel processing of raster data in the {stars} package☆11Updated last year
- Faster raster processing in R using GRASS GIS☆45Updated this week