Monitoring tropical forest succession at landscape scales despite uncertainty in Landsat time series

Volume: 31, Issue: 1
Published: Oct 5, 2020
Abstract
Forecasting rates of forest succession at landscape scales will aid global efforts to restore tree cover to millions of hectares of degraded land. While optical satellite remote sensing can detect regional land cover change, quantifying forest structural change is challenging. We developed a state‐space modeling framework that applies Landsat satellite data to estimate variability in rates of natural regeneration between sites in a tropical...
Paper Details
Title
Monitoring tropical forest succession at landscape scales despite uncertainty in Landsat time series
Published Date
Oct 5, 2020
Volume
31
Issue
1
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.