Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mohammad Haji Gholizadeh"'
Publikováno v:
Sensors, Vol 16, Iss 8, p 1298 (2016)
Remotely sensed data can reinforce the abilities of water resources researchers and decision makers to monitor waterbodies more effectively. Remote sensing techniques have been widely used to measure the qualitative parameters of waterbodies (i.e., s
Externí odkaz:
https://doaj.org/article/cea5be6e5b51445d9b6694edf705dede
Publikováno v:
Journal of Hydroinformatics. 18:1019-1032
The discriminant analysis (DA) method was used to differentiate and classify the water quality of three major rivers in South Florida. In this study, DA was used to assess the water quality and evaluate the spatial and temporal variations in surface
Publikováno v:
International Journal of Remote Sensing. 37:3143-3180
Remotely sensed data can increase the ability of water resources researchers and decision-makers to monitor waterbodies more effectively. In recent decades, remote-sensing techniques have been widely used to measure the qualitative parameters of wate
Publikováno v:
Journal of Soil and Water Science. 1
The rainfall-runoff events and erosion process usually begins with raindrop impact on bare or nearly bare soils with the resulting splash causing the soil particles to become detached and subsequently, overland flow transports these particles towards
Publikováno v:
Journal of Remote Sensing & GIS.
In this study, the bio-physical parameters associated with water quality of Florida Bay were investigated based on atmospherically corrected data. The principal objective of this study was to monitor and assess the spatial and temporal changes of fou
Publikováno v:
World Environmental and Water Resources Congress 2016.
Publikováno v:
World Environmental and Water Resources Congress 2016.
Publikováno v:
World Environmental and Water Resources Congress 2016.
Publikováno v:
The Science of the total environment.
In this study, principal component analysis (PCA), factor analysis (FA), and the absolute principal component score-multiple linear regression (APCS-MLR) receptor modeling technique were used to assess the water quality and identify and quantify the
Autor:
Gholizadeh, Mohammad Haji1 (AUTHOR) mhaji002@fiu.edu, Melesse, Assefa M.2 (AUTHOR) melessea@fiu.edu, Reddi, Lakshmi1 (AUTHOR) lreddi@fiu.edu
Publikováno v:
Sensors (14248220). Aug2016, Vol. 16 Issue 8, p1298-1340. 43p. 2 Diagrams, 13 Charts, 2 Graphs.