Predicting leaf area index in wheat using angular vegetation indices derived from in situ canopy measurements

Canadian Journal of Remote Sensing

Volumn 36, Issue 4, 2010, Pages 301-312

  Wu, Chaoyang ^a,b   Niu, Zheng ^a   Wang, Jindi ^c   Gao, Shuai ^a,b   Huang, Wenjiang ^a,d  

^a INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c BEIJING NORMAL UNIVERSITY   (China)

^d NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ECOSYSTEMS; ESTIMATION; FORESTRY; REFLECTION; REMOTE SENSING; SATELLITE IMAGERY;

ANGULAR INDEX; BAND SELECTION; BIDIRECTIONAL REFLECTANCE; CANOPY REFLECTANCE MODEL; CANOPY STRUCTURE; DARK SPOTS; DETERMINATION COEFFICIENTS; ECOSYSTEM FUNCTIONS; ENHANCED VEGETATION INDEX; GROWTH CYCLE; HOT SPOT; IN-SITU; LEAF AREA INDEX; LINEAR RELATIONSHIPS; LOW CORRELATION; LOW SENSITIVITY; MULTI-ANGLE REMOTE SENSING; NORMALIZED DIFFERENCE VEGETATION INDEX; ROOT MEAN SQUARE ERRORS; SATELLITE OBSERVATIONS; SENSITIVITY STUDIES; SIMULATION RESULT; TWO LAYERS; VALIDATION STUDY; VEGETATION INDEX; ZENITH ANGLE;

VEGETATION;

EID: 78650946838     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m10-050     Document Type: Article

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