THE EARTH OBSEVATION DATA ECOSYSTEM MONITORING (EODESM) SYSTEM

被引：0

作者：

Lucas, Richard ^{[1
,2
,3
]}

Mitchell, Anthea ^{[2
,3
]}

Manakos, Ioannis ^{[4
]}

Blonda, Palma

机构：

[1] Aberystwyth Univ, Dept Geog & Earth Sci IGES, Aberystwyth SY232EJ, Ceredigion, Wales

[2] Univ New South Wales, High St, Sydney, NSW 20152, Australia

[3] Ctr Res & Technol Hellas CERTH, Inst Informat Technol, Thessaloniki, Greece

[4] Univ Bari, CNR II, Apresso Dipartimento Interateneo Fis, Inst Inquinamento Atmosfer, Via Amendola 173, I-70126 Bari, Italy

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

Land cover classification; change detection; environmental variables; earth observation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Through the EU FP7 Horizon 2020 ECOPOTENTIAL project, a novel and innovative approach to classification has been developed, which is termed the Earth Observation Data for Ecosystem Monitoring (EODESM), and has been built on concepts behind an implementation of the Earth Observation Data for Habitat Monitoring (EODHaM) system generated as part of the EU FP7 BIOSOS project, applied to Very High Resolution (VHR) Worldview data. The EODESM system facilitates routine classification of land covers according to the Food and Agricultural Organisations Land Cover Classification System (FAOLCCS), translates these to other taxonomies (including General Habitat Classifications; GHCs) and facilitates routine detection of change and the generation of maps indicating the causes and consequences of such change.

引用

页码：8985 / 8987

页数：3