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Chandra Shekhar Jha
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2020 – today
- 2021
- [j6]Rakesh Fararoda, R. Suraj Reddy, Gopalakrishnan Rajashekar, T. R. Kiran Chand, Chandra Shekhar Jha, V. K. Dadhwal:
Improving forest above ground biomass estimates over Indian forests using multi source data sets with machine learning algorithm. Ecol. Informatics 65: 101392 (2021) - [j5]Jayant Singhal
, Gaurav Srivastava, Chintala Sudhakar Reddy
Assessment of Carbon Stock at Tree Level Using Terrestrial Laser Scanning Vs. Traditional Methods in Tropical Forest, India. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5064-5071 (2021) - 2020
- [c1]Suneetha Manne
Object based Classification of Multispectral Remote Sensing Images for Forestry Applications. ICIGP 2020: 153-157
2010 – 2019
- 2017
- [j4]Sourabh Pargal, Rakesh Fararoda, Gopalakrishnan Rajashekar
Inverting Aboveground Biomass-Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery. Remote. Sens. 9(3): 228 (2017) - 2015
- [j3]Partha Sarathi Roy
New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities. Int. J. Appl. Earth Obs. Geoinformation 39: 142-159 (2015) - [j2]Cédric Véga
Aboveground-Biomass Estimation of a Complex Tropical Forest in India Using Lidar. Remote. Sens. 7(8): 10607-10625 (2015)
2000 – 2009
- 2008
- [j1]Rangaswamy Madugundu
Estimation of LAI and above-ground biomass in deciduous forests: Western Ghats of Karnataka, India. Int. J. Appl. Earth Obs. Geoinformation 10(2): 211-219 (2008)
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