Analysis of Forest Stand Resistance to Insect Attack According to Remote Sensing Data
Open Access
Abstract
Methods for analyzing the resistance of large woodlands (such as Siberian taiga forests) to insect attacks based on remote sensing data are proposed. As an indicator of woodland’s resistance, we suggest a function of normalized difference vegetative index (NDVI) susceptibility to changes in the land surface temperature (LST). Both NDVI and LST are obtained via the TERRA/AQUA satellite system. This indicator function was calculated as the spectral transfer function of the response in the integral equation connecting the changes in NDVI and LST. The analysis was carried out for two test sites, both of which are fir stands of the Krasnoyarsk region taiga zone. In the first case, the fir stands have suffered damage inflicted by Siberian silk moth caterpillars, Dendrolimus sibiricus Tschetv. since 2015. Adjacent intact fir forest areas were also analyzed. In the second case, the object of the study was a fir tree site damaged by Black Fir Sawyer Monochamus urussovii Fischer in 2013. It is demonstrated that the above-mentioned indicator function changed significantly 2–3 years prior to the pest population outbreaks, and therefore this indicator function can be used to assess the risk of pest population outbreak. Thereby, the proposed indicator compares favorably with vegetation cover estimates using NDVI, which register significant defoliation of tree stands and cannot be used for forecasting.Keywords
Funding Information
- Russian Science Foundation (21-46-07005)
This publication has 24 references indexed in Scilit:
- Using a remotely sensed optimized Disturbance Index to detect insect defoliation in the Apostle Islands, Wisconsin, USARemote Sensing of Environment, 2013
- Reflectance changes due to pine sawfly attack detected using multitemporal SPOT satellite dataRemote Sensing Letters, 2013
- Near real-time disturbance detection using satellite image time seriesRemote Sensing of Environment, 2012
- Assessment of MODIS NDVI time series data products for detecting forest defoliation by gypsy moth outbreaksRemote Sensing of Environment, 2011
- Vegetation cover degradation assessment in Madagascar savanna based on trend analysis of MODIS NDVI time seriesInternational Journal of Applied Earth Observation and Geoinformation, 2010
- Parameterization of snow-free land surface albedo as a function of vegetation phenology based on MODIS data and applied in climate modellingTheoretical and Applied Climatology, 2008
- Investigating the effectiveness of Mountain Pine Beetle mitigation strategiesInternational Journal of Pest Management, 2008
- Spatial pattern of Siberian silkmoth outbreak and taiga mortalityScandinavian Journal of Forest Research, 2007
- A comparative study of NOAA–AVHRR derived drought indices using change vector analysisRemote Sensing of Environment, 2006
- Satellite remote sensing of primary productionInternational Journal of Remote Sensing, 1986