Reevaluating the traditional maximum NDVI compositing methodology: The Normalized Difference Blue Index

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 4, Issue , 2004, Pages 2401-2404

  Zerbe, Lindley M ^a   Liew, Soo Chin ^a  

^a Ctr Remote Imaging Sensing/Proc   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOSITE PRODUCTS; HUMID TROPICS; NORMALIZED DIFFERENCE BLUE INDEX (NDBI); VEGETATION TYPES;

ATMOSPHERIC HUMIDITY; CLOUDS; DATA ACQUISITION; ECOLOGY; LAND USE; OPTICAL RESOLVING POWER; SPECKLE; VEGETATION;

REMOTE SENSING;

DATA PROCESSING; ECOLOGY; HUMIDITY; LAND USE; PLANTS; REMOTE SENSING; RESOLUTION;

EID: 15944402083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Holben, B.N., 1986. Characteristics of maximum-value composite images from temporal AVHRR data, International Journal of Remote Sensing, 7: 1417-1434.
2. Huete, A. R., C. Justice, and W. Leeuwen, 1997. MODIS Vegetation Index (MOD 13), MODIS Algorithm Theoretical Basis Document, Version 3.
3. Leeuwen, W., A Huete, and T. Laing, 1999. MODIS Vegetation Index Compositing Approach: a prototype with AVHRR data, Remote Sensing of the Environment, 69: 264-280.
4. Miura, T., K. Didan, A. Huete, and E. Rodriguez, 2001. A performance evaluation of the MODIS vegetation index compositing algorithm, Geosctence and Remote Sensing Symposium, IGARSS '01, 4: 1812-1816