Applications of NOAA/AVHRR data on grassland monitoring

Quangong Chen, Tiangang Liang, Yuling Mao, Yaxing Wei

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Pages (from-to)383-392
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3504
DOIs
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 Conference on Optical Remote Sensing for Industry and Environmental Monitoring - Beijing, China
Duration: Sep 15 1998Sep 17 1998

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