GatorEye data usage Terms and Conditions
Use of GatorEye data, workflows, or derivative products (hereafter referred to as 'data'), for other than viewing, will only be done following discussion with, and written permission of both co-directors Eben Broadbent and Angelica Almeyda Zambrano. Usage permission is granted on a study-by-study basis. Projects using GatorEye data will be conducted in close collaboration with Drs. Eben Broadbent, Angelica Almeyda Zambrano, and Ben Wilkinson, who will be offered co-authorship on all resulting publications and products (e.g., presentations, posters, reports). Additional required GatorEye related co-authors (e.g., team members) will vary by mission and be provided by GatorEye co-directors on a case-by-case basis. In some cases, we provide preliminary additional project mission team member information below. Redistribution of data is not permitted; rather interested parties should be directed to this website. Please contact Eben Broadbent with any questions at email@example.com, and see the GatorEye website for more information at: www.gatoreye.org. If you would like to propose a collaboration, please provide a paragraph summary of what is intended for consideration by the co-directors via email and we will respond as soon as possible.
To access data please simply agree to the terms and conditions above by typing (or copy / paste) as the password the following text between the quotation symbols "I agree to the GatorEye data usage Terms and Conditions" to access the data download site at the below campaign links.
** All data is provided by default in the closest UTM zone (N/S), WGS-84, and with a vertical datum of ITRF 2014 elliptical, all in meters. Vertical and horizontal epoch dates change with base station date.
*** A detailed description of deliverables is provided in the GatorEye overview manuscript at: GatorEye
2017 Brazil Amazon July, team
2017 Brazil Cerrado July, team
2017 Costa Rica La Selva, team
2017 New Hampshire Dartmouth 2nd Tract, team
2017 Georgia Jones Center NEON tower 091917, team
2017 Florida OSBS NEON Tower North Airshed 092518
2018 Florida OSBS Lake McCloud 020618
2018 Florida Longleaf Pine Reserve 031618, team
2018 Florida Longleaf Pine Reserve 061218, team
2018 Florida Pellicer Creek, team
2018 Florida Natural Areas Teaching Lab (NATL) 022718
2018 Florida OSBS Lake Barco Transects 032718
2018 Florida Kanapaha Calibration 042318
2018 Florida Austin Cary Forest Tower 050318
2018 Florida Pellicer Creek 050418, team
2018 Florida Seahorse Key 051218
2018 Florida Shell Mound 051818, team
2018 New Hampshire Dartmouth 2nd Tract May, team
2018 Mexico Chiapas June, team
2018 Florida Fort Matanzas 060118, team
2018 Florida UF Ag Station 061818, team
2018 Peru Andes - Amazon Plots July, team
2018 Peru La Molina Jardin Botanico 071118, team
2018 Peru Tumbes July, team
2018 Costa Rica La Selva July , team
2018 Brazil USP Piracicaba LASTROP 062218, team
2018 Brazil Anhembi June, team
2018 Florida VARIETIES 092818, team
2018 Florida OSBS NEON North Airshed 101218, team
2018 Florida Austin Cary Forest Tower 110118
2018 Florida Apalachicola 111518, team
2018 Florida IMPAC II 112118, team
2018 Florida Cedar Key 121118, team
2018 Florida Cone Park 121218
2019 Panama STRI Barro Colorado Island (BCI) 020219
2019 Florida Cone Park 030819
2019 Florida Austin Cary Forest Tower 053119
2019 Florida OSBS ForestGeo 060319
2019 Mexico June, team * under embargo, contact to discuss access
2019 Peru Los Amigos June, team
2019 Brazil July, team *under embargo, contact to discuss access
2019 Florida OSBS Big Plot 082319
2019 Brazil Sao Paulo State Aug, team
2019 Brazil Curitiba Sept, team
2019 Brazil Iguassu Falls 100919
2019 Florida Jennings State Forest 102519
2019 Florida Apalachicola 110819
2020 Costa Rica Tropidry Feb 2020, team *under embargo until 02182021 - contact to discuss access
2020 Costa Rica SRNP Feb 2020, team
Calibration / Validation / Reference datasets
- 2018 Florida ACF 05-03-18 and 11-01-18, precision cross-georeferenced (XYZ) and coupled with field cm GNSS points of ground points and understory height in longleaf pine ecosystems - suitable for development of DEM and understory DSM algorithms
03/19/20 - Single and multi mission spatial alignment workflows tested and completed, using Bayes Strip Align. These are now used for some L2 (level 2) processing for areas of interest (AOI) having multiple missions aggregated, or for very windy conditions. Now exploring use for fine-scale matching for multitemporal analysis (with assumption of static ground points among clouds).
02/15/20 - v218 - completed of the GatorEye LiDAR Multi-Scalar Post-process (GLMSPP). Produces a DEM, DSM, CHM, Pit-free CHM, and flightline merged Ellipsoidal and Height Normalized point clouds, with point classification of ground, non-ground, building, tree, shrub point classes.
01/15/20 - Gen 3 build complete!
12/22/19 - Gen 3 build in progress which now includes up-welling (Nano) and down-welling hyperspectral sensor (Flame) integration (for line-by-line reflectance calculation), radiometric thermal integration with custom external shutter, upgraded 32 beam long-range Lidar, and high-res visual sensor with 72 degrees FOV upgrades.
12/22/19 - v208, ongoing improvements in code in MSGPD workflow, incorporating code parameter groups, specialized for long-leaf pine forests, and for archaeological applications (field surveys, and dense topography).
12/06/19 - v200 multi-scalar ground point detection (MSGPD) and product workflow released. Now based in R, and incorporating improved interpolation algorithms from LidR for DEM generation.
11/01/19 - v80 multi-scalar ground point detection and product workflow released.
06/15/19 - LiDAR sensor upgraded to 250m range 32 laser sensor (Ultra Puck 32c).
01/25/19 - Hyperspectral sensor factory radiometrically calibrated.
10/09/18 - LiDAR post-processing updated to version 33. Core products now include:
- Digital Elevation Model (DEM), 0.5 m resolution, raster .tif format
- Digital Elevation Model (DEM), 0.5 m resolution, point cloud, .laz format
- Digital Surface Model (DSM), 0.5 m resolution, raster .tif format
- Canopy Height Model (CHM), 0.5 m resolution, pit-free algorithm, raster .tif format
- Full point clouds, filtered, elevation 'final elevation merged', .laz format
- Full point cloud, filtered, height above DEM, 'final heightz merged', .laz format
- DSM point cloud, 0.5 m resolution, interpolated non-reflective ground spaces (e.g., asphalt, water), .laz format, 'canopy_thin_ground_filled_merged_thin'
10/10/18 - LiDAR firmware upgrade reduces sun related noise.
09/15/18 - Post-processing LiDAR workflow products will be shared for all missions, starting to work through them now. Hyperspectral data shared for selected missions as it is processed. Note: Mosaic (3 to 1 band spectral binned) hyperspectral data is available for 2018 Florida OSBS Lake McCloud as today.
02/02/18 - Future LAS data will be provided as LAS version 1.2 for greater compatibility with open source software. In the LiDAR folder we will have an additional folder named the version of the LAS file if multiple LAS versions are provided.
01/31/18 - Lever Arm (IMU to GNSS Antenna) values corrected. All LiDAR versions after this date have correct lever arm values included (via IE processing) and are at full density (per 12/01/17 update below). We will now also provide flight line point cloud (.las) for each mission, as well as merged flight lines unique to each plot (if it is a plot based mission). We are also providing .tif versions of all RGB images with an associated Pix4D format file having SBET IE differential corrected location and view angle values (accurate to within < 2 cm XYZ).
12/01/17 - New LiDAR processing workflow increases point cloud density by 2400%. LiDAR data folders after this date (standard folder format will be "LiDAR_vMMDDYY" are at full point cloud density.