How universal is the relationship between remotely sensed vegetation indices and crop leaf area index? A global assessment

Remote Sensing

Volumn 8, Issue 7, 2016, Pages

  Kang, Yanghui ^a   Özdoğan, Mutlu ^a   Zipper, Samuel C ^b   Román, Miguel O ^c   Walker, Jeff ^d   Hong, Suk Young ^e   Marshall, Michael ^f   Magliulo, Vincenzo ^g,h   Moreno, José ⁱ   Alonso, Luis ⁱ   Miyata, Akira ^j   Kimball, Bruce ^k   Loheide, Steven P ^b  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b University of Wisconsin Madison   (United States)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

^d MONASH UNIVERSITY   (Australia)

^e National Institute of Animal Science   (South Korea)

^f WORLD AGROFORESTRY CENTRE ICRAF   (Kenya)

^g CNR Consiglio Nazionale delle Ricerche   (Italy)

^h CNR   (Italy)

ⁱ UNIVERSITY OF VALENCIA   (Spain)

^j FOOD RESEARCH INSTITUTE   (Japan)

^k US ARID LAND AGRICULTURAL RESEARCH CENTER   (United States)

more..

Author keywords

Agriculture; Agroecosystem modeling; LAI; Landsat; Vegetation Index

Indexed keywords

AGRICULTURE; CROPS; ECOSYSTEMS; PLANTS (BOTANY); REMOTE SENSING; SATELLITE IMAGERY;

AGRICULTURAL LANDSCAPES; AGRO-ECOSYSTEM MODELING; ENHANCED VEGETATION INDEX; LANDSAT; LANDSAT SATELLITE IMAGES; NORMALIZED DIFFERENCE VEGETATION INDEX; SYMBOLIC REGRESSION; VEGETATION INDEX;

VEGETATION;

EID: 85010674750     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8070597     Document Type: Article

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