[
Agashe, S. (2013). Polarimetric Decomposition of SAR Data for Forest Structure Assessment. M.S. Dissertation, Dept. Earth and Space Sciences, Chalmers University of Technology, Göteborg, Sweden.
]Search in Google Scholar
[
Avtar, R., Takeuchi, W., and Sawada, H. (2011). Full polarimetric PALSAR-based land cover monitoring in Cambodia for implementation of REDD policies. International Journal of Digital Earth, 6 (3), 255–275. DOI:10.1080/17538947.2011.620639.
]Open DOISearch in Google Scholar
[
Chaturvedi, R.K., Raghubanshi, A.S. and Singh, J.S. (2012). Biomass estimation of dry tropical woody species at juvenile stage. The Scientific World Journal, 2012, 1-5. DOI:10.1100/2012/790219.
]Open DOISearch in Google Scholar
[
Chopping, M., North, M., Chen, J., Schaaf, C.B., Blair, J.B., Martonchik, J.V. and Bull, M.A. (2012). Forest canopy cover and height from MISR in topographically complex Southwestern US landscapes assessed with high quality reference data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5 (1), 44-58. DOI:10.1109/JSTARS.2012.2184270.
]Open DOISearch in Google Scholar
[
Cloude, S.R and Eric, Pottier E. (1997). An Entropy Based Classification Scheme for Land Applications of Polarimetric SAR. IEEE Transactions on Geoscience and Remote Sensing, 35 (1), 68-78. DOI:10.1109/36.551935.
]Open DOISearch in Google Scholar
[
Englhart, S., Keuck, V. and Siegert, F. (2011). Aboveground biomass retrieval in tropical forests - the potential of combined X- and L-band SAR data. Remote Sensing of Environment, 115, 1260-1271. DOI:10.1016/j.rse.2011.01.008.
]Open DOISearch in Google Scholar
[
Englhart, S., Keuck, V. and Siegert, F. (2012). Modeling aboveground biomass in tropical forests using multi-frequency SAR data – a comparison of methods. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 298-306. DOI:10.1109/JSTARS.2011.2176720.
]Open DOISearch in Google Scholar
[
FSI, (1996). Volume Equations for Forests of India, Nepal and Bhutan. Forest Survey of India, Ministry of Environment and Forests, Government of India, Dehradun. India.
]Search in Google Scholar
[
Gomathi, M., Geetha, Priya, M., Chandre Gowda, C. and Krishnaveni, D. (2021). Flood damage assessment using H-A-Alpha dual polarimetric decomposition for Godavari Flood-2019. In: Komanapalli, V. et al. (eds.), Advances in Automation, Signal Processing, Instrumentation, and Control, Lecture Notes in Electrical Engineering (pp. 1199-1208), 700. DOI:10.1007/978-981-15-8221-9_113.
]Open DOISearch in Google Scholar
[
Ji, K. and Wu, Y. (2015). Scattering mechanism extraction by a modified Cloude-Pottier decomposition for dual polarization SAR. Remote Sensing, 7 (6), 7447–7470. DOI:10.3390/rs70607447.
]Open DOISearch in Google Scholar
[
Kumar, A.R. and Raghav, A.A. (2018). A case study on the flood situation of Assam state. International Research Journal of Engineering and Technology, 5 (5), 4192–4194.
]Search in Google Scholar
[
Kumar, P., Sharma, L.K., Pandey, P.C., Sinha, S. and Nathawat, M.S. (2013). Geospatial strategy for tropical forest-wildlife reserve biomass estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6 (2), 917-923. DOI:10.1109/JSTARS.2012.2221123.
]Open DOISearch in Google Scholar
[
Lu, D. (2006). The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing, 27 (7), 1297-1328. DOI:10.1080/01431160500486732.
]Open DOISearch in Google Scholar
[
Lu, D., Chen, Q., Wang, G., Liu, L., Li, G. and Moran, E. (2016). A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems. International Journal of Digital Earth, 9 (1), 63-105. DOI:10.1080/17538947.2014.990526.
]Open DOISearch in Google Scholar
[
Maity, S., Patnaik, C., Parihar, J. S., Panigrahy, S. and Reddy, K.A. (2011). Study of physical phenomena of vegetation using polarimetric scattering indices and entropy. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4 (2), 432-438. DOI:10.1109/JSTARS.2010.2076272.
]Open DOISearch in Google Scholar
[
Potin, P., Rosich, B., Roeder, J., and Bargellini, P. (2014). Sentinel-1 Mission operations concept. In: IEEE Geoscience and Remote Sensing Symposium (pp. 1465–1468), 13-18 July 2014, Quebec City, QC, Canada. DOI:10.1109/IGARSS.2014.6946713.
]Open DOISearch in Google Scholar
[
Pottier, E., Lee, J.S. and Ferro-Famil, L. (2008). Advanced concepts, PolSARpro v3.0 - Lecture Notes.
]Search in Google Scholar
[
Santra, A., Mitra, S.S. and Sinha, S. (2021). Estimation and counter- validation of LISS-III derived leaf area index in Deltaic vegetation. Caspian Journal of Environmental Sciences, 19 (2), 239-249. DOI:10.22124/CJES.2021.4741.
]Open DOISearch in Google Scholar
[
Sharma, L.K., Nathawat, M.S. and Sinha, S. (2013). Top-down and bottom-up approach for above ground forest biomass and carbon monitoring in REDD framework using multi-resolution satellite data. Environmental Monitoring and Assessment, 185 (10), 8621-8637. DOI:10.1007/s10661-013-3199-y.23604728
]Open DOISearch in Google Scholar
[
Sinha, S. (2016). Polarimetric Scattering Parameter products of ALOS PALSAR for forest biomass assessment. Research & Reviews: Journal of Space Science & Technology, 5 (1), 1-9.
]Search in Google Scholar
[
Sinha, S. and Santra, A. (2019). An estimation of change in forest above ground carbon in Bhimbandh Wildlife Sanctuary between 2007 and 2016. Current Science, 117 (6), 1090-1094. DOI:10.18520/cs/v117/i6/1090-1094.
]Open DOISearch in Google Scholar
[
Sinha, S. and Sharma, L.K. (2013). Investigations on potential relationship between biomass and surface temperature using thermal remote sensing over tropical deciduous forests. Research & Reviews: Journal of Space Science & Technology, 2 (3), 13-18.
]Search in Google Scholar
[
Sinha, S., Jeganathan, C., Sharma, L.K. and Nathawat, M.S. (2015a). A review of radar remote sensing for biomass estimation. International Journal of Environmental Science and Technology, 12, 1779-1792. DOI:10.1007/s13762-015-0750-0.
]Open DOISearch in Google Scholar
[
Sinha, S., Jeganathan, C., Sharma, L.K., Nathawat, M.S., Das, A.K. and Mohan, S. (2016). Developing synergy regression models with space-borne ALOS PALSAR and Landsat TM sensors for retrieving tropical forest biomass. Journal of Earth System Science, 125 (4), 725-735. DOI:10.1007/s12040-016-0692-z.
]Open DOISearch in Google Scholar
[
Sinha, S., Mohan, S., Das, A.K., Sharma, L.K., Jeganathan, C., Santra, A., Mitra, S.S. and Nathawat, M.S. (2020a). Multi-sensor approach integrating optical and multi-frequency synthetic aperture radar for carbon stock estimation over a tropical deciduous forest in India. Carbon Management, 11 (1), 39-55. DOI:10.1080/17583004.2019.1686931.
]Open DOISearch in Google Scholar
[
Sinha, S., Santra, A. and Mitra, S.S. (2020b). Semi-automated impervious feature extraction using built-up indices developed from space-borne optical and SAR remotely sensed sensors. Advances in Space Research, 66 (6), 1372-1385. DOI:10.1016/j.asr.2020.05.040.
]Open DOISearch in Google Scholar
[
Sinha, S., Santra, A. and Mitra, S.S. (2018a). A method for built-up area extraction using dual polarimetric ALOS PALSAR. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-5, 455-458. DOI:10.5194/isprs-annals-IV-5-455-2018.
]Open DOISearch in Google Scholar
[
Sinha, S., Santra, A., Das, A.K., Sharma, L.K., Mohan, S., Nathawat, M.S., Mitra, S.S. and Jeganathan, C. (2019a). Accounting tropical forest carbon stock with synergistic use of space-borne ALOS PALSAR and COSMO-Skymed SAR sensors. Tropical Ecology, 60, 83–93. DOI:10.1007/s42965-019-00011-6.
]Open DOISearch in Google Scholar
[
Sinha, S., Santra, A., Das, A.K., Sharma, L.K., Mohan, S., Nathawat, M.S., Mitra, S.S. and Jeganathan, C. (2019b). Regression-based integrated bi-sensor SAR data model to estimate forest carbon stock. Journal of the Indian Society of Remote Sensing, 47, 1599–1608. DOI:10.1007/s12524-019-01004-7.
]Open DOISearch in Google Scholar
[
Sinha, S., Santra, A., Sharma, L.K., Das, A.K., Jeganathan, C., Mohan, S. and Mitra, S.S. (2021). Responses of Multi-Frequency Remote Sensing to Forest Biomass. In: Pandey P.C., Sharma L.K. (eds) Advances in Remote Sensing for Natural Resource Monitoring (pp. 58-80). John Wiley & Sons, UK. DOI:10.1002/9781119616016.ch5.
]Open DOISearch in Google Scholar
[
Sinha, S., Santra, A., Sharma, L.K., Jeganathan, C., Nathawat, M.S., Das, A.K. and Mohan, S. (2018b). Multi-polarized Radarsat-2 satellite sensor in assessing forest vigor from above ground biomass. Journal of Forestry Research, 29 (4), 1139-1145. DOI:10.1007/s11676-017-0511-7.
]Open DOISearch in Google Scholar
[
Sinha, S., Sharma, L.K. and Nathawat, M.S. (2013). Integrated geospatial techniques for land-use/land-cover and forest mapping of deciduous Munger forests (India). Universal Journal of Environmental Research and Technology, 3 (2), 190-198.
]Search in Google Scholar
[
Sinha, S., Sharma, L.K., Jeganathan, C., Nathawat, M.S., Das, A.K. and Mohan, S. (2015b). Efficacy of InSAR coherence in tropical forest remote sensing in context of REDD. International Journal of Advancement in Remote Sensing, GIS & Geography, 3 (1a), 38-46.
]Search in Google Scholar
[
Tanase, M.A., Panciera, R., Lowell, K., Hacker, J. and Walker, J.P. (2013). Estimation of forest biomass from L-band polarimetric decomposition components. In Proc. IEEE Geoscience and Remote Sensing Symposium (IGARSS) (pp. 949-952), 2013, Melbourne, VIC. DOI:10.1109/IGARSS.2013.6721318.
]Open DOISearch in Google Scholar
[
Yonezawa, C., Watanabe, M. and Saito, G. (2012). Polarimetric decomposition analysis of ALOS PALSAR observation data before and after a landslide event, Remote Sensing 4, 2314-2328. DOI:10.3390/rs4082314.
]Open DOISearch in Google Scholar
