Aboveground-Biomass Estimation of a Complex Tropical Forest in India Using Lidar. - Cédric Véga; Udayalakshmi Vepakomma; Jules Morel; Jean-Luc Bader; Gopalakrishnan Rajashekar; Chandra Shekhar Jha; Jérôme Feret; Christophe Proisy; Raphaël Pélissier; Vinay Kumar Dadhwal (Remote. Sens., 2015)

Inverting Aboveground Biomass-Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery. - Sourabh Pargal; Rakesh Fararoda; Gopalakrishnan Rajashekar; Natesan Balachandran; Maxime Réjou-Méchain; Nicolas Barbier; Chandra Shekhar Jha; Raphaël Pélissier; Vinay Kumar Dadhwal; Pierre Couteron (Remote. Sens., 2017)

Object based Classification of Multispectral Remote Sensing Images for Forestry Applications. - Suneetha Manne; L. N. P. Boggavarapu; Radhesyam Vaddi; Ravi Raja Akurati; Gopalakrishnan Rajashekar; Chandra Shekhar Jha (ICIGP, 2020)

Improving forest above ground biomass estimates over Indian forests using multi source data sets with machine learning algorithm. - Rakesh Fararoda; R. Suraj Reddy; Gopalakrishnan Rajashekar; T. R. Kiran Chand; Chandra Shekhar Jha; V. K. Dadhwal (Ecol. Informatics, 2021)

Assessment of Carbon Stock at Tree Level Using Terrestrial Laser Scanning Vs. Traditional Methods in Tropical Forest, India. - Jayant Singhal; Gaurav Srivastava 010; Chintala Sudhakar Reddy; Gopalakrishnan Rajashekar; Chandra Shekhar Jha; P. V. Narasimha Rao; G. Ravishankar Reddy; Partha Sarathi Roy 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Forest Fire Regimes Characterization Through Historical Information Derived From Modis. - Soma Satya Praveen Mutyala; R. Suraj Reddy; Gopalakrishnan Rajashekar (IGARSS, 2024)

Improving plot-level above ground biomass estimation in tropical Indian forests. - Rakesh Fararoda; R. Suraj Reddy; Gopalakrishnan Rajashekar; Thangavelu Mayamanikandan; Praveen Mutyala; K. V. Satish; S. Wajeed Pasha; C. S. Jha (Ecol. Informatics, 2024)