Title

Data for Vegetation Maps for Reynolds Creek Experimental Watershed (RCEW) for the Year 2015

Summary & Purpose

The sparse canopy cover and large contribution of bright background soil, along with the heterogeneous vegetation types in close proximity are common challenges for mapping dryland vegetation with remote sensing. Consequently, the results of a single classification algorithm or one type of sensor to characterize dryland vegetation typically show low accuracy and lack robustness. In our study, we improve classification accuracy in a semi-arid ecosystem based on the use of vegetation optical (hyperspectral) and structural (lidar) information combined with the environmental characteristics of the landscape. To accomplish this goal we used both spectral angle mapper (SAM) and multiple endmember spectral mixture analysis (MESMA) for optical vegetation classification. Lidar-derived maximum vegetation height and delineated riparian zones were then used to modify the optical classification. Incorporating the lidar information into the classification scheme increased the overall accuracy from 60% to 89%. Canopy structure can have a strong influence on spectral variability and the lidar provided complementary information for SAM's sensitivity to shape but not magnitude of the spectra. Similar approaches to map large regions of drylands with low uncertainty may be readily implemented with unmixing algorithms applied to upcoming space-based imaging spectroscopy and lidar. As such, widespread studies to develop and understand the nuances associated with these approaches will enable efficient adoption and application.

Author Identifier

Hamid Dashti (ORCID 0000-0001-9397-3458); Andrew Poley (ORCID 0000-0002-1937-9327); Nancy F. Glenn (ORCID 0000-0003-2124-7654); Nayani Ilangakoon (ORCID 0000-0002-6607-0605); Lucas Spaete (ORCID 0000-0002-0809-7615); Dar Roberts (ORCID 0000-0002-3555-4842); Alejandro N. Flores (ORCID 0000-0002-7240-9265); and Susan L. Ustin (ORCID 0000-0001-8551-0461)

Date of Publication or Submission

10-2-2019

Recommended Citation

Dashti, Hamid; Poley, Andrew; Glenn, Nancy; Ilangakoon, Nayani; Spaete, Lucas; Roberts, Dar; Enterkine, Josh; Flores, Alejandro; Ustin, Susan and Mitchell, Jessica. (2019). Vegetation maps for Reynolds Creek Experimental Watershed (RCEW)for the year 2015. [Data set].

DOI

10.18122/bcal_data/5/boisestate

Funding Citation

NASA Terrestrial Ecology, grant number NNX14AD81G Department of the Interior Northwest Climate Adaptation Science Center graduate fellowship

Single Dataset or Series?

Series

Data Format

tif, shp and docx

Data Attributes

This is a compressed Windows Zip file containing five files: Xeric_Classes.tif; Mesic_Classes.tif and Riparian_Zone.tif and Readme.docx. The content of each file is explained in a separate Readme.docx file. The RCEW.shp is the boundary of the study area (RCEW).

Time Period

June 2015

Update Frequency

Other

Privacy and Confidentiality Statement

Boise State is explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.

Use Restrictions

Users are free to share, copy, distribute and use the dataset; to create or produce works from the dataset; to adapt, modify, transform and build upon the dataset as long as the user attributes any public use of the dataset, or works produced from the dataset, referencing the author(s) and DOI link. For any use or redistribution of the dataset, or works produced from it, the user must make clear to others the license of the dataset and keep intact any notices on the original dataset.

Disclaimer of Warranty

BOISE STATE UNIVERSITY MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN OR PROVIDED AS PART OF THE SYSTEM FOR ANY PURPOSE. ALL SUCH INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. BOISE STATE UNIVERSITY HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT.

IN NO EVENT SHALL BOISE STATE UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SYSTEM.

THE INFORMATION PROVIDED BY THE SYSTEM COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. COMPANY AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME, WITH OR WITHOUT NOTICE TO YOU.

BOISE STATE UNIVERSITY DOES NOT MAKE ANY ASSURANCES WITH REGARD TO THE ACCURACY OF THE RESULTS OR OUTPUT THAT DERIVES FROM USE OF THE SYSTEM.

Share

Article Location

 
COinS