rgee | Google Earth Engine for R | Map library
kandi X-RAY | rgee Summary
kandi X-RAY | rgee Summary
Google Earth Engine is a cloud-based platform that allows users to have an easy access to a petabyte-scale archive of remote sensing data and run geospatial analysis on Google's infrastructure. Currently, Google offers support only for Python and JavaScript. rgee will fill the gap starting to provide support to R!. Below you will find the comparison between the syntax of rgee and the two Google-supported client libraries.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rgee
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rgee Examples and Code Snippets
Community Discussions
Trending Discussions on rgee
QUESTION
I'd like to change Google Drive credentials
after ee_Initialize(drive = TRUE)
. I install again rgee
and ee_install()
but not new credential in Tidyverse API Packages
was demand.
Please, any help to fix it?
...ANSWER
Answered 2021-May-19 at 15:32First, you find the credential path:
QUESTION
I am attempting to run a script written for Google Earth Engine within Rstudio using the rgee package. I don't really know anything about Javascript and converting it to work within r has basically been a bash my head against a wall until something works experience.
Anyways in working through the below code I get to the indices/ft function section (4th code chunk) and receive the following message.
Error in .Call(_reticulate_py_str_impl, x) : reached elapsed time limit
I have used the setTimeLimit and setSessionTimeLimit functions with everything on inf (removed from the code examples below) but it did not seem to help and I receive the same message. I also used gc() to see if I could clear up some space but that had no effect. What can I do to make it stop freezing up at this point?
Also, I would appreciate any help in translating all of this script to work within Rstudio using the rgee package. So if you see anywhere else that I made an error that I am not catching or know how to approach the last bonus chunk at the end please let me know.
Here's the original script in case anyone wants to look https://code.earthengine.google.com/?scriptPath=users%2Fmtd25%2FFire_severity%3AFire_atlas
...ANSWER
Answered 2021-Jan-18 at 11:44I see a couple of problems here
- Convert ee.Number objects to ee.String before parsing a date.
QUESTION
I want to add a property to each element of a Feature Collection using rgee. This feature collection I have is just a list of polygons, and I want to add an ID (which is different) for each of these geometries. So far, I have:
...ANSWER
Answered 2020-Dec-14 at 17:43library(rgee)
library(dplyr)
library(readr)
collection <- read_rds("polygons.rds")
# convert collection to feature collection using sf_as_ee
# Simple solution
collection_with_prop <- collection[c("site_no", "geometry")] %>%
st_as_sf() %>%
sf_as_ee()
ee_as_sf(collection_with_prop)
# Add properties in the server-side (using ee$List$zip)
geom_with_prop <- sf_as_ee(collection$geometry)
prop_to_add <- collection$site_no %>% ee$List()
collection_with_prop <- geom_with_prop %>%
ee$FeatureCollection$toList(nrow(collection)) %>%
ee$List$zip(prop_to_add) %>% # Pairs the elements of two lists to create a list of two-element lists
ee$List$map(
ee_utils_pyfunc(function(l){
lpair <- ee$List(l)
ee$Feature(lpair$get(0))$set('site_no', lpair$get(1))
})
) %>%
ee$FeatureCollection()
ee_as_sf(collection_with_prop)
QUESTION
I am trying to get the following code to work in Google Earth Engine using the rgee
package:
ANSWER
Answered 2020-Nov-30 at 16:01For R reserved words use backticks/quotation marks:
QUESTION
I'm completely stumped, I'm trying to create a regional time series of JRC MonthlyHistory surface water count observations (by region) using R + rgee. I'm able to download the total observations of the band, but i am unable to filter by specific values, in my case i would like to select the count of "Surface water observations" for each region at each month. I think it may have something to do with the dataset which is a Bitmask i.e.
Bits 0-1: Water detection 0: No data 1: Not water 2: Water
...ANSWER
Answered 2020-Nov-10 at 15:15This code should work:
QUESTION
I defined a polygon:
...ANSWER
Answered 2020-Aug-23 at 08:30There does not seem to be a misalignment. To plot all these countries in one step, you could do
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rgee
Use ee_install (Highly recommend for users with no experience with Python environments)
Use ee_install_set_pyenv (Recommend for users with experience with Python environments)
Use the Python PATH setting support that offer Rstudio v.1.4 >. See this tutorial.
Created by: - EN and POR: Andres Luiz Lima Costa https://bit.ly/3p1DFm9 - SPA: Antony Barja Ingaruca https://barja8.github.io/.
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