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Université de Jilin (2020)

Salinization Monitoring and Soil Moisture and Salinity Retrieval Based on Optical and Microwave Remote Sensing Technology

付浩阳;

Titre : Salinization Monitoring and Soil Moisture and Salinity Retrieval Based on Optical and Microwave Remote Sensing Technology

Auteur : 付浩阳;

Grade : Doctoral Dissertation 2020

Université : Université de Jilin

Résumé partiel
Soil moisture has a very important impact on the earth’s water cycle,energy cycle,ecological environment and agricultural production.Soil is an important boundary between the land surface and the atmosphere,and it is also a key medium for surface evapotranspiration.Soil moisture and soil salinity are also two important indicators for judging soil health and the risk of land salinization.Especially in arid and semi-arid regions,soil salinization is inextricably linked to long-term soil water loss and soil salinity.Therefore,accurate retrieval of various parameters such as soil moisture and soil salinity and monitoring of land environmental degradation such as land salinization are of great significance.For a long time,human beings have maintained close research on soil moisture salinity parameters and soil salinization.The traditional monitoring methods are mostly individual site data,collecting measured soil samples and so on.This requires a lot of human and material investment,and is constrained by the measurement method,and observation scale,real-time,effectiveness,reliability and representativeness and other aspects problems are difficult to overcome.In recent decades,through satellite remote sensing technology to achieve ground observation,parameter inversion and other aspects of research and development,a number of countries and organizations around the world have launched a number of various spectral segments,resolutions and time series of ground observation satellites.These satellites have been used in practical applications such as soil moisture monitoring,disaster prevention,urban planning,intelligent transportation,mineral and resource surveys,eco-environmental monitoring,and climate change assessment.Among them,optical remote sensing image has the characteristics of rich spectral band information,good imaging quality and high resolution,good noise resistance and high signal-to-noise ratio in the absence of large area cloud interference.Besides,optical remote sensing image has intuitive spectral data observation,rich spatial information,and the processing of remote sensing data is highly intersecting with the traditional concept of image processing.Optical remote sensing images have unique advantages and good applications in the classification and identification of features,especially in the monitoring of vegetation chlorophyll and soil salinization.Compared with optical remote sensing,microwave remote sensing has longer wavelengths,strong penetrating force for atmosphere and clouds,and is not easily affected by weather conditions.Therefore,it can achieve global monitoring of large-scale ground observation.Meanwhile,microwave can penetrate the surface soil surface,and the temperature and dielectric characteristics of the medium is very sensitive,it can be widely used in surface soil moisture and temperature inversion.Therefore,the research on the complex imaging mechanism of remote sensing technology,the development of related algorithms,the calibration and evaluation of existing data and products have very realistic significance and urgent needs for Earth science,such as geophysics,hydrology,energy and water cycle,as well as the global ecological environment,regional economic development,human agricultural life and so on.Based on satellite remote sensing data,the physical basis,observation geometry,radiation transmission process,energy exchange and other imaging mechanisms of optical remote sensing,this paper studied in the direction of remote sensing geographic information technology,remote sensing physical process,remote sensing data processing and physical properties of observation objects.

Mots clés : Multispectral remote sensing; microwave remote sensing; soil moisture; soil salinity; soil salinization monitoring;

Présentation (CNKI)

Page publiée le 23 octobre 2020, mise à jour le 26 octobre 2021