Thermal Radiation and Energy Closure Assessment in Evapotranspiration Estimation for Remote Sensing Validation

2012 ◽  
pp. 87-109
Author(s):  
John H. Prueger ◽  
Joe Alfieri ◽  
William Kustas ◽  
Lawrence Hipps ◽  
Christopher Neale ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Thermal Radiation ◽  
Evapotranspiration Estimation

scholarly journals Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World

2021 ◽  
Vol 13 (19) ◽  
pp. 3865
Author(s):  
Yongqiang Zhang ◽  
Dongryeol Ryu ◽  
Donghai Zheng
Keyword(s):  
Remote Sensing ◽  
Anthropogenic Impacts ◽  
The Earth ◽  
Wide Range ◽  
Important Challenge ◽  
Flood Simulations ◽  
Remote Sensing Techniques ◽  
Evapotranspiration Estimation ◽  
Ecohydrological Processes ◽  
Changing World

Remotely sensed geophysical datasets are being produced at increasingly fast rates to monitor various aspects of the Earth system in a rapidly changing world. The efficient and innovative use of these datasets to understand hydrological processes in various climatic and vegetation regimes under anthropogenic impacts has become an important challenge, but with a wide range of research opportunities. The ten contributions in this Special Issue have addressed the following four research topics: (1) Evapotranspiration estimation; (2) rainfall monitoring and prediction; (3) flood simulations and predictions; and (4) monitoring of ecohydrological processes using remote sensing techniques. Moreover, the authors have provided broader discussions, on how to make the most out of the state-of-the-art remote sensing techniques to improve hydrological model simulations and predictions, to enhance their skills in reproducing processes for the fast-changing world.

scholarly journals Evapotranspiration estimation considering anthropogenic heat based on remote sensing in urban area

2017 ◽  
Vol 60 (4) ◽  
pp. 659-671 ◽  
Author(s):  
ZhenTao Cong ◽  
QiNing Shen ◽  
Lin Zhou ◽  
Ting Sun ◽  
JiaHong Liu
Keyword(s):  
Remote Sensing ◽  
Urban Area ◽  
Anthropogenic Heat ◽  
Evapotranspiration Estimation

Using Grid Computing and Satellite Remote Sensing in Evapotranspiration Estimation

2015 ◽  
pp. 145-173
Author(s):  
Cristina Serban ◽  
Carmen Maftei
Keyword(s):  
Remote Sensing ◽  
Grid Computing ◽  
Land Surface ◽  
Essential Role ◽  
Satellite Image ◽  
Vegetation Indices ◽  
Computing Services ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Evapotranspiration Estimation

The most advanced and applicable approach today in the development of environmental monitoring programs is the integration of remote sensing and Grid computing services into a monitoring and forecasting system that helps the analyst to understand the problem without being a remote sensing or computer expert. In this chapter we present the main features of Grid computing and how we can use it in conjunction with remote sensing to develop several applications that will estimate ET (Evapotranspiration), LST (Land Surface Temperature) and some vegetation indices (VI's) directly from a satellite image, these parameters playing an essential role in all activities related to water resources management.

A review of remote sensing based actual evapotranspiration estimation

2016 ◽  
Vol 3 (6) ◽  
pp. 834-853 ◽  
Author(s):  
Ke Zhang ◽  
John S. Kimball ◽  
Steven W. Running
Keyword(s):  
Remote Sensing ◽  
Actual Evapotranspiration ◽  
Evapotranspiration Estimation

Using Grid Computing and Satellite Remote Sensing in Evapotranspiration Estimation

Biometrics ◽  
2017 ◽  
pp. 994-1016
Author(s):  
Cristina Serban ◽  
Carmen Maftei
Keyword(s):  
Remote Sensing ◽  
Grid Computing ◽  
Land Surface ◽  
Essential Role ◽  
Satellite Image ◽  
Vegetation Indices ◽  
Computing Services ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Evapotranspiration Estimation

The most advanced and applicable approach today in the development of environmental monitoring programs is the integration of remote sensing and Grid computing services into a monitoring and forecasting system that helps the analyst to understand the problem without being a remote sensing or computer expert. In this chapter we present the main features of Grid computing and how we can use it in conjunction with remote sensing to develop several applications that will estimate ET (Evapotranspiration), LST (Land Surface Temperature) and some vegetation indices (VI's) directly from a satellite image, these parameters playing an essential role in all activities related to water resources management.

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