Abstract: This paper approached the feasibility of quantitatively monitoring Dendrolimus spp.damage by using NOAA/AVHRR data.The damaged rate of needle leaf was used to representDendrolimus spp.harming degree,and <30%,30%～60% and >60% of damaged rate was defined as low,medium and severe harming degree,respectively.The correlation equation of damaged rate and normalized vegetation index (NDVI) was established,based on the ground spectrum observation.The NDVI was 0.8823 when no damage occurred.A relative NDVI value of damaged to undamaged area was used to express the remote sensing index of low,medium and severe harming degree.The index was 1 for undamaged forest,and 0.78～1,0.57～0.78 and <0.57 for low, medium and severe harming degrees,respectively.The mixed pixels were separated by linear addable vertical vegetation index in the monitoring,and the quantitative monitoring and analysis was accomplished for years when the three damage degrees happened.It was shown that AVHRR data could be more available in quantitatively monitoring and analyzing serious damage, while low degree damage was difficult to distinguish by AVHRR data,due to the differences of surface properties and atmospheric influences, as well as the lower space resolution of NOAA/AVHRR.The damaged area estimated by AVHRR was 12.1%～14.3% lower than that by TM.

Key words: Xinglong Mountain, forest type, leaf litter, water-holding rate, water-holding capacity, water-absorption rate