Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward

Remote Sensing in Ecology and Conservation

Volumn 4, Issue 2, 2018, Pages 71-93

  Pettorelli, Nathalie ^a   Schulte to Bühne, Henrike ^a   Tulloch, Ayesha ^b   Dubois, Grégoire ^c   Macinnis Ng, Cate ^d   Queirós, Ana M ^e   Keith, David A ^f,g,h   Wegmann, Martin ⁱ   Schrodt, Franziska ^j   Stellmes, Marion ^k   Sonnenschein, Ruth ^l   Geller, Gary N ^m,n   Roy, Shovonlal ^o   Somers, Ben ^p   Murray, Nicholas ^f   Bland, Lucie ^q   Geijzendorffer, Ilse ^r   Kerr, Jeremy T ^s   Broszeit, Stefanie ^e   Leitão, Pedro J ^t,u   Duncan, Clare ^q   El Serafy, Ghada ^v   He, Kate S ^w   Blanchard, Julia L ^x   Lucas, Richard ^f   Mairota, Paola ^y   Webb, Thomas J ^z   Nicholson, Emily ^q   more..

^a INSTITUTE OF ZOOLOGY   (United Kingdom)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c JOINT RESEARCH CENTRE   (Italy)

^d UNIVERSITY OF AUCKLAND   (New Zealand)

^e PLYMOUTH MARINE LABORATORY   (United Kingdom)

^f UNIVERSITY OF NEW SOUTH WALES   (Australia)

^g OFFICE OF ENVIRONMENT AND HERITAGE   (Australia)

^h AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

ⁱ UNIVERSITY OF WÜRZBURG   (Germany)

^j UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^k FREIE UNIVERSITÄT BERLIN   (Germany)

^l INSTITUTE FOR RENEWABLE ENERGY   (Italy)

^m Group on Earth Observations   (Switzerland)

ⁿ CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^o UNIVERSITY OF READING   (United Kingdom)

^p UNIVERSITY OF LEUVEN   (Belgium)

^q DEAKIN UNIVERSITY   (Australia)

^r Dynamique des Populations   (France)

^s UNIVERSITY OF OTTAWA   (Canada)

^t TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

^u HUMBOLDT UNIVERSITY   (Germany)

^v DELTARES   (Netherlands)

^w MURRAY STATE UNIVERSITY   (United States)

^x UNIVERSITY OF TASMANIA   (Australia)

^y UNIVERSITY OF BARI   (Italy)

^z UNIVERSITY OF SHEFFIELD   (United Kingdom)

more..

Author keywords

Biodiversity loss; biodiversity monitoring; ecosystem functions; ecosystem services; satellite remote sensing

Indexed keywords

EID: 85045248766     PISSN: None     EISSN: 20563485     Source Type: Journal    
DOI: 10.1002/rse2.59     Document Type: Article

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