Monitoring the intensity of locust damage to vegetation using hyper-spectra data obtained at ground surface

Shaoxiang Ni; Tong Wu

doi:10.1117/12.732248

9 October 2007 Monitoring the intensity of locust damage to vegetation using hyper-spectra data obtained at ground surface

Shaoxiang Ni, Tong Wu

Author Affiliations +

Proceedings Volume 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV; 66790B (2007) https://doi.org/10.1117/12.732248
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

Since 1980s of the last century, outbreak of Oriental Migratory Locust (Locusta migratoria manilensis Meyen) has rampantly emerged again in some regions of China. It is extremely important to monitor efficiently the locust damage to vegetation in order to control this kind of insect pest. In this paper, taking Huanghua County of Hebei province, China as the study area and based on the in situ hyper-spectral data, the differences in canopy reflectance spectra and the characteristic parameters of hyper-spectra were analyzed and compared for the reeds at normal growing and for those under encroaching from locusts. In addition, five models were developed to simulate the relations between the characteristic parameters of hyper-spectra and Leaf Area Index (LAI) of reeds. The result showed that among those indices the locust damage spectra index (LDSI) is mostly applicable to reflect the intensity of locust damage in the study area. Finally, a scheme for the intensity distinction of locust damage to reeds was suggested based on LDSI data, i.e., no damage if LDSI is over 62.856, slightly damage if LDSI is between 41.254 and 59.496, and seriously damage if LDSI is less than 41.254.

Citation Download Citation

Shaoxiang Ni and Tong Wu "Monitoring the intensity of locust damage to vegetation using hyper-spectra data obtained at ground surface", Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 66790B (9 October 2007); https://doi.org/10.1117/12.732248

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