ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    facet.materialart.
    Unknown
    GFZ Data Services
    In:  EnMAP Flight Campaigns Technical Report
    Publication Date: 2020-02-12
    Description: The dataset is composed of a) hyperspectral imagery acquired with AISA Eagle and Hawk imaging spectrometer data in the range 400 to 2500 nm on April 2 and August 9, 2011, with a ground sampling distance of 4 m in 12 and 15 flight lines, respectively; b) airborne LiDAR data acquired in single-pulse mode in August 2011 concurrent with hyperspectral data acquisition with an avarage point density of 0.7 hits per meter squared; c) spectral reference measurements acquired with a portable ASD field spectroradiometer around the days of image acquisitions d) fractional cover of green vegetation, dry vegetation, bare soil and rock were visually estimated for 60 (April) and 53 (August) transects of 20-m length. The overall goal of the study was to investigate the potential of hyperspectral and LiDAR data for assessing sediment connectivity at the hillslope to subcatchment scale. For that the fractional cover of green vegetation, dry vegetation, bare soil and rock was derived by applying a multiple endmember spectral mixture analysis approach to the hyperspectral image data. The LiDAR point clouds were pre-processed to generate a digital elevation map as well as a vegetation height map, both with 4-m spatial resolution.
    Language: English
    Type: info:eu-repo/semantics/report
    Format: application/pdf
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2020-02-12
    Type: info:eu-repo/semantics/workingPaper
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...