Dynamic Land Cover Mapping Exploiting Hyperspectral Prisma Data
Author:
Affiliation:
1. University School for Advanced Studies IUSS Pavia,Pavia,Italy
2. National Research Council of Italy (IREA CNR),Institute for Electromagnetic Sensing of the Environment,Milan,Italy
3. Italian Space Agency,Rome,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10281633.pdf?arnumber=10281633
Reference7 articles.
1. Detection and Classification of Non-Photosynthetic Vegetation from PRISMA Hyperspectral Data in Croplands
2. Exploring the Dunes: The Correlations between Vegetation Cover Pattern and Morphology for Sediment Retention Assessment Using Airborne Multisensor Acquisition
3. The 2022 GCOS Implementation Plan (GCOS-244);World Meteorological Organization (WMO) 2022,2022
4. The Landsat ETM+ spectral mixing space
5. An effective procedure for EUNIS and Natura 2000 habitat type mapping in estuarine ecosystems integrating ecological knowledge and remote sensing analysis
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