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rGEDI - NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing

Tools for finding, downloading, reading, visualizing, sampling, modeling, and processing NASA Global Ecosystem Dynamics Investigation (GEDI) Level 1B, Level 2A, Level 2B, Level 3, Level 4A, and Level 4B data. Supports local files, NASA Earthdata Cloud access, and optional Google Earth Engine workflows for ancillary-data extraction and wall-to-wall mapping.

Last updated

6.01 score 186 stars 1 dependents 92 scripts 30 downloads

ICESat2VegR - ICESat-2 Data Analysis for Land and Vegetation

Provides tools for downloading, reading, processing, visualizing, and exporting NASA's ICESat-2 ATL03 (Global Geolocated Photon Data) and ATL08 (Land and Vegetation Height) products. Supports photon- and segment-level analysis, spatial sampling, gridding, statistical and machine-learning modeling, and integration with 'Google Earth Engine' (<https://earthengine.google.com/>) for wall-to-wall mapping of vegetation structure and other land attributes.

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gdalprojcpp

5.58 score 16 stars 3 scripts 674 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>.

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5.42 score 33 stars 32 scripts 426 downloads

LadderFuelsR - Automated Tool for Vertical Fuel Continuity Analysis using Airborne Laser Scanning Data

Set of tools for analyzing vertical fuel continuity at the tree level using Airborne Laser Scanning data. The workflow consisted of: 1) calculating the vertical height profiles of each segmented tree; 2) identifying gaps and fuel layers; 3) estimating the distance between fuel layers; and 4) retrieving the fuel layers base height and depth. Additionally, other functions recalculate previous metrics after considering distances greater than certain threshold. Moreover, the package calculates: i) the percentage of Leaf Area Density comprised in each fuel layer, ii) remove fuel layers with Leaf Area Density (LAD) percentage less than 10, and iii) recalculate the distances among the reminder ones. On the other hand, it identifies the crown base height (CBH) based on different criteria: the fuel layer with the highest LAD percentage and the fuel layers located at the largest- and at the last-distance. When there is only one fuel layer, it also identifies the CBH performing a segmented linear regression (breaking points) on the cumulative sum of LAD as a function of height. Finally, a collection of plotting functions is developed to represent: i) the initial gaps and fuel layers; ii) the fuels base height, depths and gaps with distances greater than certain threshold and, iii) the CBH based on different criteria. The methods implemented in this package are original and have not been published elsewhere.

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ladderfuelsr

4.18 score 10 stars 4 scripts 428 downloads

rFDS - Fire Dynamics Simulation from LiDAR Data

rFDS provides an interface between LiDAR-based vegetation structure data and the Fire Dynamics Simulator (FDS) for modeling forest and vegetation fire behavior. The package enables the conversion of classified LiDAR point clouds into voxelized fuel structures, generation of FDS input files, and automated simulation workflows for fire dynamics and fuel consumption analysis.

Last updated

2.00 score 2 stars 3 scripts