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.

Last updated 5 months ago

6.29 score 168 stars 1 dependents 85 scripts 65 downloads

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.

Last updated 5 months ago

6.29 score 168 stars 1 dependents 85 scripts 65 downloads

ForestGapR - Tropical Forest Canopy Gaps Analysis

Set of tools for detecting and analyzing Airborne Laser Scanning-derived Tropical Forest Canopy Gaps. Details were published in Silva and others (2019) <doi:10.1111/2041-210X.13211>.

Last updated 1 years ago

5.24 score 29 stars 24 scripts 314 downloads

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.

Last updated 6 months ago

gdalprojcpp

4.57 score 11 stars 21 scripts

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.

Last updated 6 months ago

gdalprojcpp

4.48 score 11 stars 21 scripts

rTLsDeep - 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 2 years ago

4.29 score 13 stars 164 downloads

leafR - 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>.

Last updated 4 years ago

3.93 score 17 stars 4 scripts 339 downloads

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.

Last updated 18 days ago

3.78 score 6 stars 9 scripts 220 downloads

gdalBindings - 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/>).

Last updated 9 months ago

gdalprojcpp

3.38 score 4 stars 39 downloads

rGEDIsimulator - 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.

Last updated 11 months ago

hdf5gslgdal

3.02 score 7 stars 2 scripts

rForest - Forest Inventory and Analysis

Set of tools designed for forest inventory analysis.

Last updated 3 years ago

2.78 score 12 stars 2 scripts 35 downloads

tabularMLC - 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.

Last updated 17 days ago

openblascppopenmp

2.00 score 1 stars 146 downloads