Adapting a regularized canopy reflectance model (REGFLEC) for the retrieval challenges of dryland agricultural systems

Remote Sensing of Environment

Volumn 186, Issue , 2016, Pages 105-120

  Houborg, Rasmus ^a   McCabe, Matthew F ^a  

^a KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

Author keywords

Adjacency effects; Aerosols; Foliar dust; LAI; Leaf chlorophyll; Precision agriculture; RapidEye; Red edge; REGFLEC

Indexed keywords

AEROSOLS; AGRICULTURAL MACHINERY; AGRICULTURE; CHLOROPHYLL; DUST; LEARNING SYSTEMS; PRECISION AGRICULTURE;

ADJACENCY EFFECT; LEAF CHLOROPHYLL; RAPIDEYE; RED EDGE; REGFLEC;

REFLECTION;

AEROSOL; CANOPY REFLECTANCE; CHLOROPHYLL; DUST; GRASS; IN SITU MEASUREMENT; LEAF AREA INDEX; LEGUME; MAIZE; NUMERICAL MODEL; PRECISION AGRICULTURE; RAPIDEYE; SURFACE REFLECTANCE;

ARABIAN PENINSULA; SAUDI ARABIA;

CHLORIS GAYANA; MEDICAGO SATIVA; ZEA MAYS;

EID: 84982286543     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.08.017     Document Type: Article

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