National Scale Land Cover Classification for Ecosystem Services Mapping and Assessment, Using Multitemporal Copernicus EO Data and Google Earth Engine

National Scale Land Cover Classification for Ecosystem Services Mapping and Assessment, Using Multitemporal Copernicus EO Data and Google Earth Engine

Land-Use/Land-Cover (LULC) products are a common source of information and a key input for spatially explicit models of ecosystem service (ES) supply and demand. Global, continental, and regional, readily available, and free land-cover products generated through Earth Observation (EO) data, can be p...

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Bibliographic Details
Main Authors: Natalia Verde, Ioannis P. Kokkoris, Charalampos Georgiadis, Dimitris Kaimaris, Panayotis Dimopoulos, Ioannis Mitsopoulos, Giorgos Mallinis
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
remote sensing
seasonal
Random Forests
OBIA
machine learning
big data
Online Access:https://www.mdpi.com/2072-4292/12/20/3303

Internet

https://www.mdpi.com/2072-4292/12/20/3303

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