lidR
biodivMapR
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| lidR | biodivMapR | |
|---|---|---|
| 5 | 2 | |
| 557 | 35 | |
| 3.9% | - | |
| 7.7 | 6.6 | |
| 23 days ago | 18 days ago | |
| R | R | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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lidR
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DSM Los Angeles
Hey all :) I am currently computing a DSM for Los Angeles (~10600 km²) based on the 2015 - 2016 LARIAC Lidar data (it's part of NOAA). So far they provide the raw LiDAR data, a DEM at 3ft resolution and building heights polygons based on their LiDAR data. However, since I need a DSM for a hobby project, I am currently computing one with the lidR R package. It's at 3 ft resolution to match it with the DEM. I am definitely no pro at this kind of work but from a first glance the results look good.
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[HELP] Converting LAZ to LAS so I can generate a DEM in ArcMap.
If you use R, there are many tools for not only converting point cloud types, but also creating DEM/DSM, feature detection, and more. Check out the lidR package! LasTools also does this (and does it VERY well) but the unrestricted tools that preserve the data quality cost $$. I actually do like the way they set up LasTools pricing though - it’s simple and only a few grand. But nothing beats free!
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New to GIS
People here are going to focus on Python, but I cannot recommend using the R programming language as a GIS enough. There is an amazing library for working with lidar data called lidR that I think would be worthwhile. Also, the r4ds book is another great starting point for learning R for data analysis and general programming.
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lidR voxel_metrics : total number of points per x-y voxel/rectangle summed along axis z?
And this seemed promising, but I didn't understand how `~length(Z)` behaves. Based on the example https://github.com/Jean-Romain/lidR/blob/4612963e6f73ead5840715434f55eaa46ec5ce24/R/voxel_metrics.R#L67
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LiDAR derived DSM - power line "artefact"
It's my first time working with LiDAR data. I am using the R package lidR.
biodivMapR
What are some alternatives?
esquisse - RStudio add-in to make plots interactively with ggplot2
awesome-spectral-indices - A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
rmarkdown - Dynamic Documents for R
sentinel2-cloud-detector - Sentinel Hub Cloud Detector for Sentinel-2 images in Python
ggplot2 - An implementation of the Grammar of Graphics in R
whiteboxR - WhiteboxTools R Frontend
MODIStsp - An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
continuous-reforestation - Make continuous reforestation part of your daily workflow :deciduous_tree:
gn_mobile_occtax - Application mobile pour la saisie dans le module Occtax de GeoNature
eoreader - Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.