Showing 5 of total 5 results (show query)
r-spatial
rgee:R Bindings for Calling the 'Earth Engine' API
Earth Engine <https://earthengine.google.com/> client library for R. All of the 'Earth Engine' API classes, modules, and functions are made available. Additional functions implemented include importing (exporting) of Earth Engine spatial objects, extraction of time series, interactive map display, assets management interface, and metadata display. See <https://r-spatial.github.io/rgee/> for further details.
Maintained by Cesar Aybar. Last updated 4 days ago.
earth-engineearthenginegoogle-earth-enginegoogleearthenginespatial-analysisspatial-data
116.6 match 715 stars 13.77 score 1.9k scripts 3 dependents
brownag
rgeedim:Search, Composite, and Download 'Google Earth Engine' Imagery with the 'Python' Module 'geedim'
Search, composite, and download 'Google Earth Engine' imagery with 'reticulate' bindings for the 'Python' module 'geedim' by Dugal Harris. Read the 'geedim' documentation here: <https://geedim.readthedocs.io/>. Wrapper functions are provided to make it more convenient to use 'geedim' to download images larger than the 'Google Earth Engine' size limit <https://developers.google.com/earth-engine/apidocs/ee-image-getdownloadurl>. By default the "High Volume" API endpoint <https://developers.google.com/earth-engine/cloud/highvolume> is used to download data and this URL can be customized during initialization of the package.
Maintained by Andrew Brown. Last updated 24 days ago.
geedimgeotiffgisgoogle-earth-enginepythonrasterremote-sensingsatellite-imageryspatialterra
55.2 match 48 stars 5.81 score 27 scripts
carlos-alberto-silva
ICESat2VegR:NASA's Ice, Cloud, and Elevation Satellite (ICESat-2) Data Analysis for Land and Vegetation Applications
Set of tools for downloading, reading, visualizing, processing and exporting NASA's ICESat-2 ATL03 (Global Geolocated Photon Data) and ATL08 (Land and Vegetation Height) products for Land and Vegetation Applications.
Maintained by Caio Hamamura. Last updated 6 months ago.
37.7 match 11 stars 4.57 score 21 scripts
r-a-dobson
dynamicSDM:Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution
A collection of novel tools for generating species distribution and abundance models (SDM) that are dynamic through both space and time. These highly flexible functions incorporate spatial and temporal aspects across key SDM stages; including when cleaning and filtering species occurrence data, generating pseudo-absence records, assessing and correcting sampling biases and autocorrelation, extracting explanatory variables and projecting distribution patterns. Throughout, functions utilise Google Earth Engine and Google Drive to minimise the computing power and storage demands associated with species distribution modelling at high spatio-temporal resolution.
Maintained by Rachel Dobson. Last updated 26 days ago.
dynamicsdmgoogle-earth-enginegoogledrivesdmspatiotemporalspatiotemporal-data-analysisspatiotemporal-forecastingspecies-distribution-modellingspecies-distributions
14.3 match 6 stars 6.16 score 20 scripts
kwb-r
kwb.satellite:R Package for Working with Satellite Data from Various Providers (Copernicus, GoogleEarthEngine)
R Package with functions for working with satellite data of Copernicus Climate Data Store (https://cds.climate.copernicus.eu) or GoogleEarthEngine (https://earthengine.google.com/).
Maintained by Michael Rustler. Last updated 3 years ago.
copernicuscopernicus-climate-data-storegoogle-earth-engineproject-keyssatellite-data
20.0 match 1 stars 3.00 score 2 scripts