ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-8, 9-12, 2014
https://doi.org/10.5194/isprsannals-II-8-9-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
27 Nov 2014
Net surface radiation retrieval using Earth Observation Satellite data and machine learning algorithm
D. V. Mahalakshmi1, A. Paul1, D. Dutta1, M. M. Ali2, C. S. Jha2, and V. K. Dadhwal2 1Regional Remote Sensing Centre (NRSC), New Town, Kolkata, West Bengal, India
2National Remote Sensing Centre, Balanagar, Hyderabad, India
Keywords: ANN, MODIS, Terra, Eddy flux tower, NSR, Bonnie camp Abstract. We present a method to estimate net surface radiation (NSR) from Terra MODIS data using Artificial Neural Network (ANN) technique. For this purpose, we trained the ANN model using MODIS atmospheric profile product of air temperature, dew point temperature, solar zenith angle and land surface temperature from Terra as independent parameters and the net surface radiation from eddy flux tower measurements at Bonnie camp location of Sundarban region as the dependent variable. The NSR is estimated with a root mean square accuracy of 64 w/m2 and the square of the correlation coefficient (R2) is 0.75 respectively. This technique is extended to estimate NSR over the entire Sundarban area and has a potential for climate and agricultural water management studies.
Conference paper (PDF, 678 KB)


Citation: Mahalakshmi, D. V., Paul, A., Dutta, D., Ali, M. M., Jha, C. S., and Dadhwal, V. K.: Net surface radiation retrieval using Earth Observation Satellite data and machine learning algorithm, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-8, 9-12, https://doi.org/10.5194/isprsannals-II-8-9-2014, 2014.

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