Výsledky vyhledávání - "Hamoudzadeh, Alireza"

Akademický článek

SWOT Level 2 Lake Single-Pass Product: The L2_HR_LakeSP Data Preliminary Analysis for Water Level Monitoring.

Autor: Hamoudzadeh, Alireza¹ (AUTHOR) alireza.hamoudzadeh@uniroma1.it, Ravanelli, Roberta¹ (AUTHOR) mattia.crespi@uniroma1.it, Crespi, Mattia^1,2 (AUTHOR)

Publikováno v: Remote Sensing. Apr2024, Vol. 16 Issue 7, p1244. 12p.

Zobrazit plný text záznamu

Plný text ve formátu HTML

Italian lakes water level monitoring through GEDI altimetric data within Google Earth Engine: a preliminary analysis

Autor: Hamoudzadeh, Alireza, Ravanelli, Roberta, Crespi, Mattia Giovanni

Publikováno v: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

Inland water bodies are essential sources of freshwater for several applications, making their level monitoring crucial for understanding the impact of climate change and human activities. The Global Ecosystem Dynamics Investigation (GEDI) [1,2] miss

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7c7c09aab9c67772ddc1c34832d7db4
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020660

Zobrazit plný text záznamu

Inland Water Surface Global Monitoring With GEDI Geo Big Data Using Google Earth Engine: Preliminary Analysis, Potentials and Issues

Autor: Hamoudzadeh, Alireza, Ravanelli, Roberta, Crespi, Mattia Giovanni

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3686::5ee7ac12a7b5353bf06602e89280fa48
https://hdl.handle.net/11573/1665502

Zobrazit plný text záznamu

'Global Monitoring of Inland Water Surface With GEDI Geo Big Data Using Google Earth Engine: Preliminary Analysis, Potentials and Issues

Autor: Hamoudzadeh, Alireza, Ravanelli, Roberta, Crespi, Mattia Giovanni

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3686::d7e1f75fb68093c7a01681a2f0c52018
https://hdl.handle.net/11573/1665501

Zobrazit plný text záznamu

Evaluation of effective factors on air pollution using optimized cellular automata: A case study of Tehran

Autor: Hamoudzadeh, Alireza, Behzadi, Saeed

Publikováno v: Journal of Engineering Research.

Vehicles and traffic congestion have been known as the main reasons for air pollution in urban areas, and Cellular Automata (CA) holds a great promise for predicting this hazard. Urban air pollution is a complex phenomenon and many factors involve in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73a77b2862e2938dc405e9bfe00d569b
https://doi.org/10.36909/jer.13749

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání