Grassland Ecological Parameters Remote Sensing Inversion System Design And Development

The Sanjiangyuan region is the largest nature reserve in China.It is located in the southern part of Qinghai Province in China and accounts for about 43% of the total area of??Qinghai Province.There are numerous rivers,lakes,swamps,and pastures in the region.The wetlands and pastures not only play a role in preventing wind and sand,protecting soil and water,but also bear the development of the regional economy.However,in recent decades,under the dual influence of natural factors and human factors,the entire ecological environment chain in the Sanjiangyuan region has been destroyed to varying degrees,taking grasslands with the most serious damage as examples.The degraded grassland has caused regional water and soil degradation.Losses,loss of lakes and marshes,shrinkage of wetlands,grassland desertification,and other diseases,how to protect the grassland ecology has become the focus of attention of many scholars and countries.The construction of the Sanjiangyuan Wisdom Ecological Livestock Farming Platform is dedicated to exploring the scientific approaches for the development of ecological livestock husbandry in Sanjiangyuan,promoting the structural adjustment of grassland and animal husbandry and the transformation of economic development patterns,further improving the grass-animal balance mechanism,and helping to improve the living conditions of pastoralists and strengthening Sanjiangyuan area ecological protection.From the perspective of the integration of remote sensing and GIS,this paper focuses on the research on the construction of grassland ecological parameters remote sensing inversion system under the "Sanjiangyuan wisdom ecological animal husbandry technology platform." The system is based on the C/S architecture and uses ArcGIS Engine and ENVI/IDLsecondary development technologies.It uses C# language,ArcObjects SDK for.NET class library,and IDL function library for R&D.The system takes the MODIS and LandSat8 remote sensing image data processing flow as the main line,and through the research on the automatic downloading and processing of image data,format conversion,splicing,projection conversion,SG filtering processing,radiation calibration,atmospheric correction,parameter calculation algorithms,etc.Normalized vegetation index(NDVI),vegetation coverage(FVC),surface moisture index(NDMI),and surface temperature(LST)4 inversion parameters;and the maximum spatial synthesis algorithm to generate a spatial resolution of 1km in Sanjiangyuan Image data with monthly/monthly/year-scale time resolution,and image data with spatial resolution of 30 m and time/month/season/year scale are generated in the demonstration area;the system uses four kinds of grassland parameters under different time scales.The image data is subjected to precise area cropping,and grid clipping grids and vector cropping grids are provided in two forms of map cutting function,which facilitates map mapping and map publishing services in the study area.Finally,based on the NDVI data with low temporal resolution and high spatial resolution,the research on downscaling of high-resolution,low-spatial-resolution grass-grassgrass data was conducted.After image re-sampling,mask extraction and model algorithm Calculations have yielded high-resolution,high-spatial-resolution “double high” yield-creating imagery data.The system facilitates the automation and visualization of MODIS data and LandSat8 data,which facilitates the efficient operation of agricultural staff and relieves the pressure of manual data collection.