Synergy between a vegetation growth-SVAT model and remotely sensed data. Application to a semi arid area

2002 ◽  
Author(s):  
P. Cayrol ◽  
L. Kergoat ◽  
G. Dedieu ◽  
G. Chehbouni
Keyword(s):  
Remotely Sensed ◽  
Arid Area ◽  
Remotely Sensed Data ◽  
Vegetation Growth ◽  
Data Application ◽  
Semi Arid ◽  
Svat Model

Using Remotely Sensed Data To Monitor Land Surface Climatology Variations In A Semi-arid Grassland

2005 ◽  
Author(s):  
L.F. Johnson ◽  
N.A. Bryant ◽  
A.J. BrazeI ◽  
C.F. Hutchinson ◽  
R.C. Balling
Keyword(s):  
Land Surface ◽  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Semi Arid

Alluvial groundwater recharge estimation in semi-arid environment using remotely sensed data

2017 ◽  
Vol 548 ◽  
pp. 1-15 ◽  
Author(s):  
Victor Hugo R. Coelho ◽  
Suzana Montenegro ◽  
Cristiano N. Almeida ◽  
Bernardo B. Silva ◽  
Leidjane M. Oliveira ◽  
...  
Keyword(s):  
Groundwater Recharge ◽  
Arid Environment ◽  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Alluvial Groundwater ◽  
Recharge Estimation ◽  
Semi Arid

Modification of DAISY SVAT model for potential use of remotely sensed data

2001 ◽  
Vol 106 (3) ◽  
pp. 215-231 ◽  
Author(s):  
Peter van der Keur ◽  
Søren Hansen ◽  
Kirsten Schelde ◽  
Anton Thomsen
Keyword(s):  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Potential Use ◽  
Svat Model

scholarly journals Accuracy assessment of remotely sensed data to analyze lake water balance in semi-arid region

2021 ◽  
pp. 149034
Author(s):  
Joy Bhattacharjee ◽  
Mehedi Rabbil ◽  
Nasim Fazel ◽  
Hamid Darabi ◽  
Bahram Choubin ◽  
...  
Keyword(s):  
Water Balance ◽  
Lake Water ◽  
Arid Region ◽  
Accuracy Assessment ◽  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Semi Arid Region ◽  
Semi Arid ◽  
Lake Water Balance
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