Retrieving daily evapotranspiration from the combination of geostationary and polar-orbit satellite data

2015 ◽  
Author(s):  
Jose Miguel Barrios ◽  
Nicolas Ghilain ◽  
Alirio Arboleda ◽  
Francoise Gellens-Meulenberghs
Keyword(s):  
Satellite Data ◽  
Polar Orbit ◽  
Orbit Satellite ◽  
Daily Evapotranspiration

Rollback Links Characterization for the Snapshot Routing Algorithm in Polar-Orbit Satellite Networks

2015 ◽  
Vol E98.B (8) ◽  
pp. 1715-1724 ◽  
Author(s):  
Zhu TANG ◽  
Chunqing WU ◽  
Zhenqian FENG ◽  
Wanrong YU ◽  
Baokang ZHAO ◽  
...  
Keyword(s):  
Routing Algorithm ◽  
Satellite Networks ◽  
Polar Orbit ◽  
Orbit Satellite

A cosmic antimatter detector on a polar-orbit satellite

1989 ◽  
Vol 103 (6) ◽  
pp. 635-646
Author(s):  
G. Basini ◽  
P. Spillantini ◽  
M. Ricci ◽  
P. Picozza
Keyword(s):  
Polar Orbit ◽  
Orbit Satellite

Daily evapotranspiration at sub-kilometre spatial resolution by combining observations from geostationary and polar-orbit satellites

2018 ◽  
Vol 39 (23) ◽  
pp. 8984-9003 ◽  
Author(s):  
J. M. Barrios ◽  
N. Ghilain ◽  
A. Arboleda ◽  
T. Sachs ◽  
F. Gellens-Meulenberghs
Keyword(s):  
Spatial Resolution ◽  
Polar Orbit ◽  
Daily Evapotranspiration

Electrostatic Discharge Ground Test of a Polar Orbit Satellite Solar Panel

2006 ◽  
Vol 34 (5) ◽  
pp. 2011-2030 ◽  
Author(s):  
M. Cho ◽  
J.-H. Kim ◽  
S. Hosoda ◽  
Y. Nozaki ◽  
T. Miura ◽  
...  
Keyword(s):  
Electrostatic Discharge ◽  
Solar Panel ◽  
Polar Orbit ◽  
Orbit Satellite ◽  
Ground Test

scholarly journals Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data

2011 ◽  
Vol 15 (1) ◽  
pp. 163-170 ◽  
Author(s):  
Z. Sun ◽  
M. Gebremichael ◽  
J. Ardö ◽  
H. A. R. de Bruin
Keyword(s):  
Satellite Data ◽  
Weather Forecast ◽  
Drought Monitoring ◽  
East African ◽  
Daily Fluctuation ◽  
Orbit Satellite ◽  
Combining Data ◽  
Dryness Index ◽  
African Highlands ◽  
East African Highlands

Abstract. Routine information on regional evapotranspiration (ET) and dryness index is essential for agricultural water management, drought monitoring, and studies of water cycle and climate. However, this information is not currently available for the East Africa highlands. The main purpose of this study is to develop (1) a new methodology that produces spatially gridded daily ET estimates on a (near) real-time basis exclusively from satellite data, and (2) a new dryness index that depends only on satellite data and weather forecast data. The methodology that calculates daily actual ET involves combining data from two sensors (MODIS and SEVIRI) onboard two kinds of platforms (Terra – polar orbit satellite and MSG – geostationary orbit satellite). The methodology is applied to the East African highlands, and results are compared to eddy covariance measurements at one site. Results show that the methodology produces ET estimates that accurately reproduce the daily fluctuation in ET but tends to underestimate ET on the average. It is concluded that the synergistic use of the polar-orbiting MODIS data and the geostationary-orbiting SEVIRI data has potential to produce reliable daily ET, but further research is needed to improve the accuracy of the results. This study also proposes an operational new dryness index that can be calculated from the satellite-based daily actual ET estimates and daily reference ET estimates based on SEVIRI data and weather forecast air temperature. Comparison of this index against ground measurements of daily actual ET at one site indicates that the new dryness index can be used for drought monitoring.

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