geospatial-data
Here are 218 public repositories matching this topic...
Is there a way to know when the imagery was collected? I assume sometime in the daylight hours, and probably recently(?) but I have no way of knowing by looking at the output and the associated image.
Can that output be put in the CLI output or some other metadata file that gets associated with the LC####### directory?
ToDo: More Events
This is a ToDo-Issue.
Following events should be added:
- while moving the hintMarker a event should be fired like
moveorchange. For example, while drawing the rectangle, the current bounds / latlngs can be useful. see #1072 - While moveing / editing the coords of a layer, we can send a
coordsmoveevent. Edit, Drag, Rotation, ... - Enabledrag & disabledrag in
Dragging.js
Context: this from @agila5: https://twitter.com/a_gilardi5/status/1487813588454678528
I have not had a chance to read the explanation and am not sure what we should say on the topic but guess it's worth a mention here. Any thoughts?
-
Updated
Sep 13, 2021 - Python
-
Updated
Jan 27, 2022 - HTML
-
Updated
Nov 8, 2019 - Jupyter Notebook
-
Updated
Jan 18, 2022
-
Updated
Jul 25, 2019 - Jupyter Notebook
-
Updated
Feb 6, 2022 - Python
-
Updated
Nov 16, 2021 - TypeScript
-
Updated
Jan 13, 2022 - Java
-
Updated
Feb 19, 2021 - Jupyter Notebook
-
Updated
Feb 7, 2022 - Java
-
Updated
Jan 28, 2022 - Julia
In episode _episodes_rmd/12-time-series-raster.Rmd
There is a big chunk of code that can probably be made to look nicer via dplyr:
# Plot RGB data for Julian day 133
RGB_133 <- stack("data/NEON-DS-Landsat-NDVI/HARV/2011/RGB/133_HARV_landRGB.tif")
RGB_133_df <- raster::as.data.frame(RGB_133, xy = TRUE)
quantiles = c(0.02, 0.98)
r <- quantile(RGB_133_df$X133_HARV_landRGB.1, q
-
Updated
Nov 15, 2019 - C
-
Updated
Aug 31, 2019
Expected behavior and actual behavior
Cropping any raster with any GeoVector should work. Instead, if the GeoVector is bigger than the world, an error is raised.
Steps to reproduce the probl
-
Updated
Feb 4, 2022 - Jupyter Notebook
-
Updated
Jan 21, 2020 - Jupyter Notebook
-
Updated
Feb 7, 2022 - Python
-
Updated
Mar 10, 2021
It'd be great if by default geospatial plots did not truncate axis ticks.
In the meantime, there is an easy one liner to change a setting to display axis ticks without truncation: plt.ticklabel_format(style="plain")
I only found out about this later
-
Updated
Jun 10, 2021 - JavaScript
-
Updated
Feb 3, 2022 - Python
Linux .deb installer
Investigate how to build a .deb installer.
Improve this page
Add a description, image, and links to the geospatial-data topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the geospatial-data topic, visit your repo's landing page and select "manage topics."



The gdal/swig/python/samples/ogr_layer_algebra.py should be promoted to an official Python script
Steps: