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pro vyhledávání: '"Mirmazloumi , Seyedmohammad"'
Autor:
Mirmazloumi , Seyedmohammad, Yismaw Wassie, José Antonio Navarro, Riccardo Palamà, Michele Crosetto, Oriol Monserrat
This study proposes modifications to an existing automatic classification method of Persistent Scatterers Interferometry (PSI) time series (TS) and a new procedure to classify ground movements into seven classes. We also represent a technique to dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3b836a7f3854f9536733fd36cd37ad0
https://hdl.handle.net/2117/384033
https://hdl.handle.net/2117/384033
Autor:
Mirmazloumi, Seyedmohammad
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Remote Sensing (RS) offers efficient tools for drought monitoring, especially in countries with a lack of reliable and consistent in-situ multi-temporal datasets. In this study, a novel RS- based Drought Index (RSDI) named Temperature-Vegetation-soil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::4b5cbb41b83afeb2c07fb0d76a295d1b