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Université du Zhejiang (2018)

Assessment of Habitat Suitability for Grasshopper Using Multi-source Fusion Data in Inner Mongolia

何柯;

Titre : Assessment of Habitat Suitability for Grasshopper Using Multi-source Fusion Data in Inner Mongolia

Auteur : 何柯;

Grade : Master’s Theses 2018

Université : Université du Zhejiang

Résumé
In China,grasshoppers are typical pests which pose a serious threat to grassland.Due to climate changes caused by human activities,meadows have been consumed seriously and development of agriculture and husbandry have been constrained extensively.There was affected area of 5 million ha caused by grasshopper plague in more than 11 counties in Inner Mongolia in 2001.With availability of detecting large area quickly,remote sensing technology is able to monitor fluctuation of habitat condition which influences frequency of outbreak of grasshopper plague and assess potential suitability for grasshopper comprehensively.This study acquired high spatio-temporal resolution data through multi-source remote sensing data fusion to assess suitability of habitat with multi-factors(eg:soil moisture ;land surface temperature and vegetation index)in Inner Mongolia for 10 years according to life cycle of grasshoppers.And the conclusions are drawn as followings :(1)Based on the spatio-temporal similarity of land surface temperature,high coverage image was found as reference for neighbouring-date target image.Regression model between reference LST(Land Surface Temperature),targeted-date NDVI(Normalized Difference Vegetation Index)and DEM(Digital Elevation Model)was built to obtain related parameters.And targeted-date surface temperature with high coverage was interpolated through calculation of related parameters and targeted-date DEM,NDVI.(2)Disaggregated AMSR-E/AMSR-2(Advanced Microwave Scanning Radiometer EOS/2)microwave-derived soil moisture based on optical MODIS(Moderate Resolution Imaging Spectroradiometer)data perform better than extracted TVDI(Temperature Vegetation Dryness Index)using single optical MODIS data in verification of station data with its r and RMSE of 0.43 and 0.092.It concluded that"triangle method" could be used to disaggregate soil moisture through integrating advantages of microwave and optical data.(3)Based on the biological knowledge for grasshopper,assessment model of habitat suitability using multi-factors(soil moisture,land surface temperature and vegetation coverage)in ovioposition and incubation period was established.Used disaggregated soil moisture(1km daily)、interpolated land surface temperature(lkm daily),vegetation coverage as source data(lkm16-day),and obtained the daily and annual mapping result of assessed habitat suitability of grasshopper in Inner Mongolia from 2003 to 2012.The result shows spatial distribution with different potential risk levels which predict the change of potential suitable areas in Inner Mongolia and provide guidance for grasshopper prevention and control work.High risky area is key area for prevention and control and it can be dealt with ecological management methods for preventing grasshopper plague

Mots clés : Grasshopper; Remote sensing; Data fusion; Soil moisture; Disaggregation; Habitat suitability assessment;

Présentation (CNKI)

Page publiée le 18 mai 2019