Atlas of Heritage TreesThis dataset is a collection of laser scanned heritage trees of exceptional historical, cultural, and ecological significance. The trees have been archived in laz, e57, pcd, xyz, and 3dm format point clouds. The project was directed by Brendan Harmon and Hye Yeon Nam. Contributors include Javier Zamora, Huan Guo, William Reinhardt, Julie Whitbeck, Kaiti Fink, and Jeff Boucher. This project was funded by the LSU Arts & Humanities Support Fund. It was supported by the LSU Center for GeoInformatics and the LSU Coastal Ecosystem Design Studio. The point clouds are released under the Creative Commons Zero public domain dedication. See the collection online at xyz.cct.lsu.edu.

LicenseThis dataset is released under the Creative Commons Zero 1.0 Universal Public Domain Dedication by Brendan Harmon.

An interdisciplinary research team of engineers, geologists, and computer scientists was assembled at LSU to develop unproved methods for prospecting for bypassed oil and to support oil and gas producers in Louisiana. The overall objective of the project was to develop methods for extending the producing life of several types of reservoirs by reducing the amount of oil being bypassed and abandoned. As part of this work, the team collected information available from public sources for several example reservoirs. One task of the project was to develop a format for the compilation of the extensive but cumbersome Louisiana reservoir data so that it could be used by government and industry to evaluate the resource and plan future activities. The existing information system maintained by Louisiana is a Production Audit Reporting System (PARS). It was designed to allow auditing of oil and gas production and severance taxes associated with this production. It was not intended to be used as a database for determining reservoir recovery efficiency or prospecting for oil and gas. Its use for these purposes, however, has been increasing. The database format suggested in this report would allow production information to be easily displayed by reservoir as well as by lease, unit, or well. The data collected as part of the bypassed-oil study was used to illustrate the proposed new format. This pilot database, or atlas, contains information available for 15 reservoirs. It is recommended that LSU continue to compile and publish database information on the potential for bypassed oil in Louisiana's active reservoirs. This technology-transfer activity should focus each year on those active reservoirs involved in hearings of the Louisiana Office of Conservation. It should also focus on reservoirs being screened by LSU for EOR.

Atlas of Heritage Trees
This dataset is a collection of laser scanned heritage trees of exceptional historical, cultural, and ecological significance. The trees have been archived in laz, e57, pcd, xyz, and 3dm format point clouds. This project was funded by the LSU Arts & Humanities Support Fund. The project was directed by Brendan Harmon. The team included Javier Zamora and Huan Guo. The point clouds are released under the Creative Commons Zero public domain dedication. See the collection online at xyz.cct.lsu.edu.

License
This dataset is released under the Creative Commons Zero 1.0 Universal Public Domain Dedication by Brendan Harmon.

Shirley C. Tucker Herbarium at Louisiana State University, Lichen Collection: ca. 44,000 specimens, particularly from Louisiana, California, throughout North America, and worldwide. Created largely through exchange and collections by Shirley C. Tucker.

This repository the results produced by Hurtado-Pulido, Amer, Ebinger, and Holcomb “Variations in subsidence patterns in the Gulf of Mexico passive margin from Airborne-LiDAR data and Time Series InSAR: Baton Rouge Case Study”.

This repository presents data sets for figures 4, 5, 6, 7 and 8. Processing methods are described in the paper. The READme file contains details about each file. Please address any questions about this dataset to Hurtado-Pulido.

LiDAR data from 1999 is stored and distributed by the Atlas: The Louisiana Statewide GIS (https://maps.ga.lsu.edu/lidar2000/). LiDAR data from 2018 is stored and distributed by the USGS Server through The National Map Download Manager (https://apps.nationalmap.gov/downloader/).

EnviSAT SAR images were retrieved from the Earth Observation Catalogue (https://eocat.esa.int/sec/#data-services-area). Sentinel-1 SAR images from the Copernicus Open Access Hub (https://scihub.copernicus.eu/dhus/#/home). Both property of the European Space Agency.

GNSS information was processed by the Nevada Geodetic Laboratory (Blewitt et al., 2018; http://geodesy.unr.edu/NGLStationPages/gpsnetmap/GPSNetMap.html).

Data from water, injection, and extraction wells is stored in the Strategic Online Natural Resources Information System property of the Louisiana Department of Natural Resources (http://sonris-www.dnr.state.la.us/gis/agsweb/IE/JSViewer/index.html?TemplateID=181).

Methodology

The depth grid and flooding extent polygon were created using the best available data at the time. These depth grids use the provisional USGS HWM data as of 8/30/2016 and some assessment information where high water marks were captured. Gage input data was limited to USGS and USACE river gages that remained in operation throughout the event. Multiple gages in the region were either overtopped or damaged during the event and were not used to create this product. Although gages in southern Ascension and Livingston parishes were still rising slightly, the most recent gage output was utilized. Gage data was pulled on August 17th and gage locations were populated to reflect the crest elevations.

Coarse flowpaths were created for the gaged streams with evenly spaced points placed between the gages. Water surface elevations were then interpolated based on the max WSEL record at the gages. These points better reflect the WSEL gradient along the stream and prevent straight-line interpolation between gages. The gage points and interpolated points were used to create a WSEL TIN.

The water surface elevation TIN was subsequently converted to a raster that was snapped to the mosaicked 5-meter DEMs for the area that were obtained from the LSU Atlas website. The difference between the water surface and ground surface was then calculated. A depth grid for areas with values greater than zero was created along with a polygon feature class that delineates the approximate flood extents.

There are limited stream gages in the area. As a result, interpolation methods can create areas where flooding is either underrepresented or overrepresented.

Access and Use Constraints

User assumes all risk related to the use of this data. FEMA provides this data "as is" and disclaims any and all warranties, whether express or implied, including (without limitation) any implied warranties of merchantability or fitness for a particular purpose, and there are no express or implied guarantees of accuracy of the data. In no event will FEMA or any other Federal Agency be liable to you or to any third party for any direct, indirect, incidental, consequential, special, or exemplary damages or lost profit resulting from any use or misuse of this data.

Shirley C. Tucker Herbarium at Louisiana State University, Vascular Plant Collection contains 310,000+ specimens. Several regional herbaria are integrated entirely or in part, including NO, LSUS, MCN, NLU, Eglin Air Force Base, and New Orleans Academy of Sciences. Only Tulane University Herbarium (NO) remains a distinct collection. Geographic distribution is global, but strengths are Louisiana and the southeastern USA, southen California, Colorado Rocky Mountains, Yucatan Peninsula, Colombia and Brazil. Families well-represented include Asteraceae, Fabaceae, Cyperaceae, Rubiaceae, and Poaceae. Significant collectors include: Fr. G. Arsène, L. M. Booth, C. A. Brown, I. W. Clokey, R. S. Cocks, D. Demaree, J. A. Ewan, A. Featherman, A. Gray, J. Hale, J. F. Joor, D. D. Keck, E. P. Killip, J. G. Lemmon, Y. E. J. Mexia, F. W. Peirson, N. F. Peterson, J. L. Riddell, and D. Stone, R. D. Thomas, S. C. Tucker, L. E. Urbatsch, I. Vélez, and E. C. Wurzlow.