Alemohammad, H
32  results:
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2

Femtosecond laser micromachining of fibre Bragg gratings fo..:

Alemohammad, H ; Toyserkani, E ; Pinkerton, A J
Journal of Physics D: Applied Physics.  41 (2008)  18 - p. 185101 , 2008
 
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3

Cladding of WC–12 Co on low carbon steel using a pulsed Nd:..:

Paul, C.P. ; Alemohammad, H. ; Toyserkani, E...
Materials Science and Engineering: A.  464 (2007)  1-2 - p. 170-176 , 2007
 
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4

Reconstructed Solar‐Induced Fluorescence: A Machine Learnin..:

Gentine, P. ; Alemohammad, S. H.
Geophysical Research Letters.  45 (2018)  7 - p. 3136-3146 , 2018
 
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5

Estimating surface soil moisture from SMAP observations usi..:

Kolassa, J. ; Reichle, R.H. ; Liu, Q....
Remote Sensing of Environment.  204 (2018)  - p. 43-59 , 2018
 
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6

Soil moisture retrieval from AMSR-E and ASCAT microwave obs..:

Kolassa, J. ; Gentine, P. ; Prigent, C...
Remote Sensing of Environment.  195 (2017)  - p. 202-217 , 2017
 
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7

ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK:

Obringer, R. ; Zhang, X. ; Mallick, K...
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.  XLI-B2 (2016)  - p. 747-751 , 2016
 
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8

Characterization of precipitation product errors across the..:

Alemohammad, S. H. ; McColl, K. A. ; Konings, A. G...
Hydrology and Earth System Sciences.  19 (2015)  8 - p. 3489-3503 , 2015
 
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9

Accounting for Training Data Error in Machine Learning Appl..:

Elmes, A ; Alemohammad, H ; Avery, R...
http://pure.iiasa.ac.at/id/eprint/16387/1/remotesensing-12-01034-v2.pdf.  , 2020
 
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10

Accounting for Training Data Error in Machine Learning Appl..:

Elmes, A ; Alemohammad, H ; Avery, R...
https://pure.iiasa.ac.at/id/eprint/16387/1/remotesensing-12-01034-v2.pdf.  , 2020
 
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11

ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK:

Obringer, R ; Zhang, X ; Mallick, K..
doi:10.5194/isprs-archives-XLI-B2-747-2016.  , 2018
 
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13

Estimating surface soil moisture from SMAP observations usi..:

Kolassa, J ; Reichle, R.H ; Liu, Q...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744888/.  , 2017
 
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14

Water, Energy, and Carbon with Artificial Neural Networks (..:

Alemohammad, S.H ; Fang, B ; Konings, A.G...
Alemohammad , S H , Fang , B , Konings , A G , Green , J K , Kolassa , J , Prigent , C , Aires , F , Gonzalez Miralles , D & Gentine , P 2016 , ' Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence ' , Biogeosciences Discussions , pp. 1-36 . https://doi.org/10.5194/bg-2016-495-supplement.  , 2016
 
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15

ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK:

Obringer, R ; Zhang, X ; Mallick, K..
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences -- http://www.isprs.org/publications/archives.aspx -- 2194-9034.  , 2016
 
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