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Université des géosciences de Chine (中国地质大学)

Research on Remote Sensing Derived Agricultural Drought Monitoring Method and Its Adaptability Evaluation Concerning Spatiotemporal Multi-Factor

黄友昕

Titre : Research on Remote Sensing Derived Agricultural Drought Monitoring Method and Its Adaptability Evaluation Concerning Spatiotemporal Multi-Factor

Auteur : 黄友昕

Grade : Doctoral Dissertation 2021

Université : Université des géosciences de Chine (中国地质大学)

Résumé partiel
Agricultural drought is a recurrent natural disaster,and it lasts for a long time and has no structure.There have been experienced agricultural drought events of different frequency and severity on the land all over the world,especially in the countries whose economic sources mostly depend on agricultural production.Agricultural drought not only caused directly a large area of crop yield reduction,but also caused huge losses to the social economy,seriously affected the sustainable development of agriculture and social stability.Therefore,how to effectively monitor agricultural drought and select appropriate drought monitoring methods according to local conditions has become an urgent task for drought relief departments and agricultural management departments.The agricultural drought monitoring method based on remote sensing technology is often implemented through remote sensing derived agricultural drought monitoring indiecs.It has the advantages of objectivity,timeliness and wide coverage,and it makes up for the shortage of ground stations and has been proved to be the most promising technical means in agricultural drought monitoring.However,different remote sensing derived agricultural drought monitoring indices have different spatiotemporal adaptability.The characteristics of drought occurrence and development from the remote sensing spectral information are extracted by these indices.But the characteristics of drought are affected by the underlying surface in space ;it is also affected by the growth pattern of crops in different phenological periods.How to select suitable remote sensing monitoring index of agricultural drought is the basis of accurate evaluation and monitoring of agricultural drought according to different underlying surface and different crop phenology.Spectral feature matching method,multivariate statistical analysis method,fuzzy comprehensive evaluation method,principal component analysis method and artificial neural network analysis method are used to evaluate the adaptability of agricultural drought remote sensing monitoring index.However,due to the complexity of the interaction of soil,phenology,topography,climate and other spatiotemporal factors of crop growth,from the perspective of environmental dependence,the spatiotemporal adaptability and sensitivity of agricultural drought monitoring index need to be further studied.In addition,the adaptability evaluation of agricultural drought monitoring index often has some human subjectivity and empirical problems,and its objectivity and automation level also need to be improved.Based on the above problems,

Mots clés : remote sensing ;agricultural drought ;drought monitoring ;adaptability;phenology ;underlying surface ;

Présentation (CNKI)

Page publiée le 16 février 2022