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Proceedings Paper

Applications of NOAA/AVHRR data on grassland monitoring
Author(s): Quangong Chen; Tiangang Liang; Yuling Mao; Yaxing Wei
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Paper Abstract

With rapidly growing populations and a dwindling resource base, monitoring grassland resource appears more important for decision-making and sustainable development in pasture. In the paper, methods of applying NOAA/AVHRR data to monitor grassland yield and carrying capacity were discussed in detail. To eliminate errors of the grassland yields at different time, average vegetation index images were erected, and a new rectified formula to calculate the Average Normalized Difference Vegetation Index (ANDVI) was constructed according to the characteristics of both NOAA/AVHRR data and grasslands in China. Based on ANDVI images, grassland yield gradation was defined, a general grassland yield forecast model was regressed out by analyzing relevant contribution of different landscapes to ANDVI, and a complete set of methods and procedures to monitor grassland yield and seasonal grassland carrying capacity was finally made. Results of the study indicated that NOAA/AVHRR data could be used in grassland classification, mapping, yield estimation and decision-making in large areas in China.

Paper Details

Date Published: 19 August 1998
PDF: 10 pages
Proc. SPIE 3504, Optical Remote Sensing for Industry and Environmental Monitoring, (19 August 1998); doi: 10.1117/12.319528
Show Author Affiliations
Quangong Chen, Gansu Grassland Ecological Research Institute (China)
Tiangang Liang, Gansu Grassland Ecological Research Institute (China)
Yuling Mao, Gansu Grassland Ecological Research Institute (China)
Yaxing Wei, Gansu Grassland Ecological Research Institute (China)


Published in SPIE Proceedings Vol. 3504:
Optical Remote Sensing for Industry and Environmental Monitoring
Upendra N. Singh; Huanling Hu; Gengchen Wang, Editor(s)

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