Vegetation Drought Vulnerability Mapping Using a Copula Model of Vegetation Index and Meteorological Drought Index

نویسندگان

چکیده

Since vegetation is closely related to a variety of hydrological factors, the condition during drought greatly affected by moisture supply or demand from atmosphere. However, since feedback between and climate in event very complex, it necessary construct joint probability distribution that can describe investigate interrelationships them. In other words, required understand interaction terms probability. this study, possibility stress experienced under various conditions occurring was investigated dividing into two aspects (atmospheric demand). Meteorological indices explain different vegetation-related indexes state were estimated using data remotely sensed satellites parts Far East Asia centered on South Korea. Bivariate modeling performed index meteorological Copula. It found relationship has regional characteristics there also seasonal change. From copula-based model, possible quantify conditional for scenarios occur causes. Through this, mapping vulnerability study area, spatially check how responds differently depending season The probabilistic may provide useful information establishing mitigation strategies ecological drought.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs13245103