Nowosad / geopat2
GeoPAT 2 - a suite of modules dedicated to analysis of large datasets in their entirety using spatial and/or temporal patterns
☆44Updated 7 months ago
Alternatives and similar repositories for geopat2:
Users that are interested in geopat2 are comparing it to the libraries listed below
- Links and slides from GEOSTAT2018☆37Updated 6 years ago
- Slides and lecture notes on how to process large spatial data with R☆43Updated 4 years ago
- R client package for working with openEO backends☆65Updated 2 months ago
- Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Münster 2019☆27Updated 5 years ago
- A package for linking R with the open-source SAGA-GIS☆32Updated 6 months ago
- ☆24Updated last month
- R package to support Remote Sensing oriented field work☆15Updated 4 years ago
- Simplify the linking of GIS/RS and CLI tools☆26Updated 3 months ago
- R Package to access the Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products☆34Updated 2 years ago
- R Client Library for SpatioTemporal Asset Catalog☆72Updated 8 months ago
- Tools for Downloading, Customizing, and Processing Time Series of Satellite Images from Landsat, MODIS, and Sentinel☆51Updated 2 years ago
- Creating Relative Elevation Models in R☆12Updated 3 years ago
- Copernicus Data Space Ecosystem API Wrapper☆15Updated last month
- satellite remote sensing tools☆35Updated 2 months ago
- Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.☆22Updated 10 months ago
- R package for harmonic modelling of time-series data☆29Updated 4 years ago
- LandsatTS is an R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time-series data.☆28Updated 5 months ago
- Create tidyverse methods for dealing with GEE image and imageCollections.☆48Updated last year
- A collection of 250+ examples for using Google Earth Engine in R☆31Updated 4 years ago
- a snow data network (SNOTEL) R package☆16Updated last month
- The goal of supercells is to utilize the concept of superpixels to a variety of spatial data.☆68Updated 6 months ago
- R Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities☆18Updated 4 years ago
- R package for landscape stratification, sampling, and modeling of environmental phenomena using spatial data in R.☆16Updated 2 years ago
- Exploring RGEE.☆23Updated 2 years ago
- Simplify the acquisition of remote sensing data☆53Updated 4 years ago
- Complete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and …☆35Updated 7 years ago
- Open source book: Spatial sampling with R☆75Updated last year
- Whitebox Workflows for R☆32Updated 2 months ago
- a discussion repository: raise issues, or contribute!☆53Updated 3 years ago
- Landmap package for R☆48Updated 2 years ago