Arjun G. Koppad Syeda Sarfin Anup Kumar Das


The study has been conducted for land use and land cover classification by using SAR data. The study included examining of ALOS 2 PALSAR L- band quad pol (HH, HV, VH and VV) SAR data for LULC classification. The SAR data was pre-processed first which included multilook, radiometric calibration, geometric correction, speckle filtering, SAR Polarimetry and decomposition. For land use land cover classification of ALOS-2-PALSAR data sets, the supervised Random forest classifier was used. Training samples were selected with the help of ground truth data. The area was classified under 7 different classes such as dense forest, moderate dense forest, scrub/sparse forest, plantation, agriculture, water body, and settlements. Among them the highest area was covered by dense forest (108647ha) followed by horticulture plantation (57822 ha) and scrub/Sparse forest (49238 ha) and lowest area was covered by moderate dense forest (11589 ha).   Accuracy assessment was performed after classification. The overall accuracy of SAR data was 80.36% and Kappa Coefficient was 0.76.  Based on SAR backscatter reflectance such as single, double, and volumetric scattering mechanism different land use classes were identified.


Download data is not yet available.



Abdikan, Saygin, Fusun Balik Sanli, M. Ustuner, and Fabiana Calò. (2016).Land cover mapping using sentinel-1 SAR data. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 41: 757, doi: 10.5194/isprsarchives-XLI-B7-757.
Campbell, James B., and Randolph H. Wynne. (2011). Introduction to remote sensing. Guilford Press:
Das, Anup Kumar, C. P. Singh, Shiv Mohan, and A. Ajai. (2006). Polarization signatures of land cover classes using L-band polarimetric SAR data In Microwave Remote Sensing of the Atmosphere and Environment V, 6410: 641003:1-12
Dini Das, A. S., Shashi Kumar, Arun Babu, and Praveen K. Thakur. (2018). Insar coherence and polarimetric parameters based characterization of flooded area–case study of a natural world heritage site kaziranga national park. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information SciencesIV-5: 265-272
Dos Santos, J., I. Narvaes, P. M. L. A. Graça, and F. Goncalves. (2009). Polarimetric responses and scattering mechanisms of tropical forest in the Brazilian Amazon. Advances in Geoscience and Remote Sensing: 183-206.
Freeman, Anthony, and Stephen L. Durden. (1998). A three-component scattering model for polarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing 36.3: 963-973
Jat, Mahesh Kumar, P. K_ Garg, and Deepak Khare. (2008). Monitoring and modelling of urban sprawl using remote sensing and GIS techniques. International journal of Applied earth Observation and Geoinformation 10, 1: 26-43
Pampaloni, Paolo, and Kamal Sarabandi. (2004). Microwave remote sensing of land. URSI Radio Science Bulletin.308: 30-48.
Roy, P. S., Behera, M. D., & Srivastav, S. K. (2017). Satellite remote sensing: sensors, applications and techniques, doi.org/10.1007/s40010-017-0428-8.
Sharma, J., R. Prasad, V. N. Mishra, V. P. Yadav, and R. Bala. (2018). Land Use and Land Cover Classification of Multispectral LANDSAT-8 Satellite Imagery Using Discrete Wavelet Transform. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 42: 5,doi.org/10.5194/isprs-archives-XLII-5-703-2018.
Sim, C. K., K. Abdullah, MZ Mat Jafri, and H. S. Lim. (2011). Land Cover Classification of ALOS PALSAR Data Using Maximum Likelihood and Dual Mode Polarization.19 (S): 83-88.
Zakeri, Homa, Fumio Yamazaki, and Wen Liu. (2017). Texture analysis and land cover classification of Tehran using polarimetric synthetic aperture radar imagery. Applied Sciences 7.5: 452,2; doi.org/10.3390/app7050452.
Citation Format
How to Cite
Koppad, A. G., Syeda Sarfin, & Das, A. K. (2020). A study on landuse and landcover classification using microwave data in Joida taluk of Uttara Kannada district, Karnataka. Journal of Applied and Natural Science, 12(1), 9-12. https://doi.org/10.31018/jans.v12i1.2209
More Citation Formats:
Research Articles