Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Foad Brakhasi"'
Autor:
Foad Brakhasi, Jeffrey P. Walker, Jasmeet Judge, Pang-Wei Liu, Xiaoji Shen, Nan Ye, Xiaoling Wu, In-Young Yeo, Nithyapriya Boopathi, Edward Kim, Yann H. Kerr, Thomas J. Jackson
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2570-2585 (2024)
P-band radiometry has been demonstrated to have a deeper sensing depth than L-band, making the consideration of multilayer microwave interactions necessary. In addition, the scattering and phase interference effects are different at the P-band, requi
Externí odkaz:
https://doaj.org/article/6b1f385ce8754afe8fd441c92543dba0
Autor:
Foad Brakhasi, Jeffrey P. Walker, Nan Ye, Xiaoling Wu, Xiaoji Shen, In-Young Yeo, Nithyapriya Boopathi, Edward Kim, Yann Kerr, Thomas Jackson
Publikováno v:
Science of Remote Sensing, Vol 7, Iss , Pp 100079- (2023)
Precision irrigation management and crop water stress assessment rely on accurate estimation of root zone soil moisture. However, only the top 5 cm soil moisture can be estimated using the two current passive microwave satellite missions, Soil Moistu
Externí odkaz:
https://doaj.org/article/13fe2d616fa340409a0f677387e48841
Autor:
Foad Brakhasi, Jeffrey P. Walker, Nan Ye, Xiaoling Wu, Xiaoji Shen, In-Young Yeo, Nithyapriya Boopathi
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5df949733b7839705c9b0900e6894947
https://doi.org/10.1109/igarss46834.2022.9884525
https://doi.org/10.1109/igarss46834.2022.9884525
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 73:721-735
This paper presents a new algorithm based on the support vector machine (SVM) for classifying the Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) data into classes of clean air, cloud, thin aerosol, dense aerosol, surface, su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbe01783c3cbf7ce484870063adbdef2
https://doi.org/10.1016/j.jag.2018.07.017
https://doi.org/10.1016/j.jag.2018.07.017
Publikováno v:
Remote Sensing of Environment 264 (2021)
Remote Sensing of Environment, 264
Remote Sensing of Environment, 264
Monitoring spatio-temporal changes of aerosols is necessary to better understand atmospheric processes. Here, the vertical distribution of aerosols and how it has changed from 2006 to 2017 is studied using time series data from the Cloud-Aerosol Lida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::323f4d94925759ea91ee0411f20bcc4f
https://research.wur.nl/en/publications/investigating-aerosol-vertical-distribution-using-calipso-time-se
https://research.wur.nl/en/publications/investigating-aerosol-vertical-distribution-using-calipso-time-se
Autor:
Xiaoji Shen, Jeffrey P. Walker, Nan Ye, Xiaoling Wu, Foad Brakhasi, Nithyapriya Boopathi, Liujun Zhu, In-Young Yeo, Edward Kim, Yann Kerr, Thomas Jackson
Publikováno v:
Remote Sensing of Environment. 273:112960
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1eda6006eb71ab17a002b8da6c9b9824
https://doi.org/10.1016/j.rse.2022.112960
https://doi.org/10.1016/j.rse.2022.112960
Autor:
Xiaoling Wu, In-Young Yeo, Yann Kerr, Nithyapriya Boopathi, Jeffrey P. Walker, Thomas J. Jackson, Edward J. Kim, Foad Brakhasi, Xiaoji Shen, Nan Ye, Liujun Zhu
Publikováno v:
Remote Sensing of Environment. 269:112825
L-band passive microwave remote sensing is currently considered a robust technique for global monitoring of soil moisture. However, soil roughness complicates the relationship between brightness temperature and soil moisture, with current soil moistu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bc0acd4fec655a5010633ae92ece61b
https://doi.org/10.1016/j.rse.2021.112825
https://doi.org/10.1016/j.rse.2021.112825