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 language | English |
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Pages (from-to) | 383-392 |
Number of pages | 10 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 3504 |
DOIs | |
State | Published - 1998 |
Externally published | Yes |
Event | Proceedings of the 1998 Conference on Optical Remote Sensing for Industry and Environmental Monitoring - Beijing, China Duration: Sep 15 1998 → Sep 17 1998 |