Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series
Authors
Keywords
Land surface phenology, Time series, Logistic function, Splines, Data density, Observation frequency
Journal
International Journal of Applied Earth Observation and Geoinformation
Volume 92, Issue -, Pages 102172
Publisher
Elsevier BV
Online
2020-06-12
DOI
10.1016/j.jag.2020.102172

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.