The Earth Observation Data for Habitat Monitoring (EODHaM) system

被引:49
|
作者
Lucas, Richard [1 ]
Blonda, Palma [2 ]
Bunting, Peter [3 ]
Jones, Gwawr [3 ]
Inglada, Jordi [4 ]
Arias, Marcela [4 ]
Kosmidou, Vasiliki [5 ]
Petrou, Zisis I. [5 ]
Manakos, Ioannis [5 ]
Adamo, Maria
Charnock, Rebecca - [3 ]
Tarantino, Cristina [2 ]
Mucher, Caspar A. [6 ]
Jongman, Rob H. G. [6 ]
Kramer, Henk [6 ]
Arvor, Damien [7 ]
Honrado, Joao Pradinho [8 ,9 ]
Mairota, Paola [10 ]
机构
[1] Univ New S Wales, Sch Biol Earth & Environm Sci, Ctr Ecosyst Sci, Kensington, NSW 2052, Australia
[2] CNR, Natl Res Council, Inst Intelligent Syst Automat, ISSIA, I-70126 Bari, Italy
[3] Aberystwyth Univ, Inst Geog & Earth Sci, Aberystwyth SY23 3DB, Dyfed, Wales
[4] CESBIO, CNES CNRS UPS IRD, F-31401 Toulouse 9, France
[5] Inst Informat Technol, Ctr Res & Technol Hellas, Thessaloniki 57001, Greece
[6] Wageningen UR, Alterra, NL-6708 PB Wageningen, Netherlands
[7] MTD Montpellier, ESPACE DEV, IRD UMR 228, F-34093 Montpellier, France
[8] InBIO CIBIO, P-4169007 Oporto, Portugal
[9] Univ Porto, Fac Ciencias, Edificio Biol FC4, P-4169007 Oporto, Portugal
[10] Univ Bari, Dept Agroenvironm & Terr Sci, I-70126 Bari, Italy
关键词
Habitat; Land cover; Classification; Monitoring; Remote sensing; VEGETATION; CLASSIFICATIONS; BIODIVERSITY; REFLECTANCE; PHENOLOGY; IMAGERY; MODEL; FIELD;
D O I
10.1016/j.jag.2014.10.011
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
To support decisions relating to the use and conservation of protected areas and surrounds, the EU-funded BIOdiversity multi-SOurce monitoring System: from Space TO Species (BIO_SOS) project has developed the Earth Observation Data for HAbitat Monitoring (EODHaM) system for consistent mapping and monitoring of biodiversity. The EODHaM approach has adopted the Food and Agriculture Organization Land Cover Classification System (LCCS) taxonomy and translates mapped classes to General Habitat Categories (GHCs) from which Annex I habitats (EU Habitats Directive) can be defined. The EODHaM system uses a combination of pixel and object-based procedures. The 1st and 2nd stages use earth observation (EO) data alone with expert knowledge to generate classes according to the LCCS taxonomy (Levels 1 to 3 and beyond). The 3rd stage translates the final LCCS classes into GHCs from which Annex I habitat type maps are derived. An additional module quantifies changes in the LCCS classes and their components, indices derived from earth observation, object sizes and dimensions and the translated habitat maps (i.e., GHCs or Annex I). Examples are provided of the application of EODHaM system elements to protected sites and their surrounds in Italy, Wales (UK), the Netherlands, Greece, Portugal and India. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
引用
收藏
页码:17 / 28
页数:12
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