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Inner Mongolia Agricultural University (2020)

Study on Ecological Evaluation,Monitoring of Meadow Steppe in Inner Mongolia Based on Remote Sensing


Titre : Study on Ecological Evaluation,Monitoring of Meadow Steppe in Inner Mongolia Based on Remote Sensing

Auteur : 王保林;

Grade : Doctoral Dissertation 2020

Université : Inner Mongolia Agricultural University

Résumé partiel
Grassland degradation in arid areas has become a serious ecologicalproblem,and the development of grass-livestock relations and animal husbandry in pastoral areas of Inner Mongolia is facing serious challenges.With the development of big data technology and cloud computing platforms have changed the research model of geology and ecology.The meadow grassland is widely distributed in Inner Mongolia and is an important grassland resource and landscape community in China.In the meadow grassland,by monetizing the ecosystem service value,quantifying the ecological risk level of regional landscape and monitoring the key ecological parameters of grasslands,it provides data reference for the relevant policies of fine grassland conservation and utilization.It is of great significance to China’s ecological sustainable development and ecological civilization construction.In this paper,the Inner Mongolia Meadows and Grasslands area is selected as the study object,and the study is carried out in multiple dimensions on the basis of big data cloud platform in a data-driven manner.On the basis of Google Earth Engine integration,the ground data such as ecological parameters,meteorological observation data and climatic observation data from sample sites,combined with remote sensing satellite data such as Landsat 8,Sentinel-2 and MODIS to build a sky-ground integration evaluation method.Geographic grid computing,machine learning,mixed pixel decomposition,empirical model construction and other methods are used to carry out grassland ecological evaluation and monitoring research.The research focuses on the analysis of the spatio-temporal distribution of land cover in the meadow and grassland area,the hierarchical evaluation of ecological risk changes in the landscape,the spatio-temporal adjustment of the value of ecosystem services and monetary value accounting,the inversion of the basic ecological parameters of the meadow and grassland area,the estimation of grazing yield and livestock carrying capacity in the meadow and grassland degradation detection,and other multi-dimensional research results show that :(1)The grassland in Inner Mongolia meadows and grasslands has been restored obviously,and the ecological risks are controllable.

Mots clés : Remote sensing big data; Grassland ecosystem; Grassland degradation; Machine learnin; Mixed pixel decomposition;

Présentation (CNKI)

Page publiée le 15 juin 2021, mise à jour le 25 novembre 2021