Improving the accuracy of land cover classification in cloud persistent areas using optical and radar satellite image time series
Abstract
The recent availability of high spatial and temporal resolution optical and radar satellite imagery has dramatically increased opportunities for mapping land cover at fine scales. Fusion of optical and radar images has been found useful in tropical areas affected by cloud cover because of their complementarity. However, the multitemporal dimension these data now offer is often neglected because these areas are primarily characterized by...
Paper Details
Title
Improving the accuracy of land cover classification in cloud persistent areas using optical and radar satellite image time series
Published Date
Feb 26, 2020
Volume
11
Issue
4
Pages
532 - 541
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- 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.
Notes
History