Unmesh Khati

Orcid: 0000-0001-9022-9199

According to our database1, Unmesh Khati authored at least 10 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Gaussian process regression-based forest above ground biomass retrieval from simulated L-band NISAR data.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023

Model-Based Retrieval of Forest Parameters From Sentinel-1 Coherence and Backscatter Time Series.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Global Sentinel-1 Insar Coherence: Opportunities for Model-Based Estimation of Land Parameters.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020
Assessment of Forest Biomass Estimation from Dry and Wet SAR Acquisitions Collected during the 2019 UAVSAR AM-PM Campaign in Southeastern United States.
Remote. Sens., 2020

Split-Window Based Flood Mapping with L-Band ALOS-2 SAR Images: A Case of Kerala Flood Event in 2018.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Assessment of Polsar and Insar Time-Series from the 2019 NASA AM-PM Campaign for Above-Ground Biomass Estimation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Stock Volume Loss Estimation in Poplars using Regression Models and ALOS-2/PALSAR-2 backscatter.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Potential of Space-Borne PolInSAR for Forest Canopy Height Estimation Over India - A Case Study Using Fully Polarimetric L-, C-, and X-Band SAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2017
First demonstration of space-borne Tomosar using Terrasar-x/Tandem-x Full-polarimetric acquisitions.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Temporal analysis of PolInSAR based forest height inversion for Tectona grandis and Eucalyptus plantations.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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