The importance of leaf area index in mapping chlorophyll content of corn under different agricultural treatments using UAV images

International Journal of Remote Sensing

Volumn 39, Issue 15-16, 2018, Pages 5415-5431

  Simic Milas, Anita ^a   Romanko, Matthew ^b   Reil, Patrick ^a   Abeysinghe, Tharindu ^a   Marambe, Anuruddha ^a  

^a BOWLING GREEN STATE UNIVERSITY   (United States)

^b Satelytics   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; CHLOROPHYLL; CROPS; CULTIVATION; FORESTRY; REMOTE SENSING; UNMANNED AERIAL VEHICLES (UAV);

BIOCHEMICAL PARAMETERS; COEFFICIENT OF DETERMINATION; EMPIRICAL ALGORITHMS; EMPIRICAL RELATIONSHIPS; HERBICIDE MANAGEMENT; LEAF CHLOROPHYLL CONTENT; LONG-TERM ECOLOGICAL RESEARCH; NORMALIZED DIFFERENCES;

MAPPING;

AERIAL SURVEY; AGRICULTURAL RESEARCH; ALGORITHM; CHLOROPHYLL; ERROR ANALYSIS; FARMING SYSTEM; LEAF AREA INDEX; MAIZE; PRECISION AGRICULTURE; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; UNMANNED VEHICLE; VEGETATION MAPPING;

MICHIGAN; UNITED STATES;

ZEA MAYS;

EID: 85044450825     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2018.1455244     Document Type: Article

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