rGEDI - NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing
Set of tools for downloading, reading, visualizing and processing GEDI Level1B, Level2A and Level2B data.
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6.03 score 183 stars 1 dependents 98 scripts 10 downloadsrGEDI - NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing
Set of tools for downloading, reading, visualizing and processing GEDI Level1B, Level2A and Level2B data.
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6.03 score 183 stars 1 dependents 98 scripts 10 downloadsICESat2VegR - 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.
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gdalprojcpp
4.15 score 14 stars 4 scripts
radarBoxplot - Implementation of the Radar-Boxplot
Creates the radar-boxplot, a plot that was created by the author during his Ph.D. in forest resources. The radar-boxplot is a visualization feature suited for multivariate classification/clustering. It provides an intuitive deep understanding of the data.
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3.48 score 6 stars 10 scripts 231 downloadsrTLsDeep - Post-Hurricane Damage Severity Classification from TLS and AI
Terrestrial laser scanning (TLS) data processing and post-hurricane damage severity classification at the individual tree level using deep Learning. Further details were published in Klauberg et al. (2023) <doi:10.3390/rs15041165>.
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3.41 score 17 stars 1 scripts 184 downloadsleafR - Calculates the Leaf Area Index (LAD) and Other Related Functions
A set of functions for analyzing the structure of forests based on the leaf area density (LAD) and leaf area index (LAI) measures calculated from Airborne Laser Scanning (ALS), i.e., scanning lidar (Light Detection and Ranging) data. The methodology is discussed and described in Almeida et al. (2019) <doi:10.3390/rs11010092> and Stark et al. (2012) <doi:10.1111/j.1461-0248.2012.01864.x>.
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3.08 score 24 stars 7 scripts 55 downloadstabularMLC - Tabular Maximum Likelihood Classifier
The maximum likelihood classifier (MLC) is one of the most common classifiers used for remote sensing imagery. This package uses 'RcppArmadillo' to provide a fast implementation of the MLC to train and predict over tabular data (data.frame). The algorithms were based on Mather (1985) <doi:10.1080/01431168508948456> method.
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openblascppopenmp
3.00 score 1 stars 245 downloadsrGEDIsimulator - NASA's Global Ecosystem Dynamics Investigation (GEDI) Simulator for ALS Data
Simulates the fullwaveform GEDI data and calculates metrics based on aerial lidar systems data.
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hdf5gslgdal
2.74 score 11 stars 7 scriptsrForest - Forest Inventory and Analysis
Set of tools designed for forest inventory analysis.
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2.78 score 12 stars 2 scripts 5 downloadsgdalBindings - GDAL Classes Wrapper for Reading and Writing Raster Blocks
Wraps around 'Geospatial' Data Abstraction Library (GDAL) raster and band classes for reading and writing directly from RasterBlock in R semantic `[[]]` and familiar syntax for accessing RasterBand and reading/writing to blocks (see <https://gdal.org/>).
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gdalprojcpp
2.60 score 4 stars 3 downloadsrTLsDeep - Post-Hurricane Damage Severity Classification from TLS and AI
Terrestrial laser scanning (TLS) data processing and post-hurricane damage severity classification at the individual tree level using deep Learning. Further details were published in Klauberg et al. (2023) <doi:10.3390/rs15041165>.
Last updated
1.00 score 199 downloads