Ranjith Gopalakrishnan
Project Researcher
School of Forest Sciences, Faculty of Science, Forestry and Technology
My research interest is the application of remote sensing data to address key questions in forest resource management and large-scale ecological modeling.
Research groups
Publications
10/10 items-
Evaluation of a forest radiative transfer model using an extensive boreal forest inventory database
Gopalakrishnan, Ranjith; Korhonen, Lauri; Mõttus, Matti; Rautiainen, Miina; Hovi, Aarne; Mehtätalo, Lauri; Maltamo, Matti; Peltola, Heli; Packalen, Petteri. 2023. Science of remote sensing. 8: A1 Journal article (refereed), original research -
Optimal plot size, sample size, and point density selection for airborne laser scanning assisted basal area larger than mean (BALM) estimation
Syed, ADNAN; Rubén, Valbuena; Tuomo, Kauranne; Ranjith, Gopalakrishnan; Matti, Maltamo. 2022. poster -
Optimizing the airborne laser scanning estimation of basal area larger than mean (BALM): An indicator of cohort balance in forests
Adnan, Syed; Valbuena, Rubén; Kauranne, Tuomo; Gopalakrishnan, Ranjith; Maltamo, Matti. 2022. Ecological indicators. 142: A1 Journal article (refereed), original research -
The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland
Gopalakrishnan, Ranjith; Packalen, Petteri; Ikonen, Veli-Pekka; Räty, Janne; Venäläinen, Ari; Laapas, Mikko; Pirinen, Pentti; Peltola, Heli. 2020. Annals of forest science. 77: 97 A1 Journal article (refereed), original research -
Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas
Gopalakrishnan, Ranjith; Ali-Sisto, Daniela; Kukkonen, Mikko; Savolainen, Pekka; Packalen, Petteri. 2020. Remote sensing. 12: 1943 A1 Journal article (refereed), original research -
A method for vertical adjustment of digital aerial photogrammetry data by using a high-quality digital terrain model
Ali-Sisto, Daniela; Gopalakrishnan, Ranjith; Kukkonen, Mikko; Savolainen, Pekka; Packalen, Petteri. 2019. International journal of applied earth observation and geoinformation. 2020; 84: 101954 A1 Journal article (refereed), original research -
Creating Landscape-Scale Site Index Maps for the Southeastern US Is Possible with Airborne LiDAR and Landsat Imagery
Gopalakrishnan, Ranjith; Kauffman, Jobriath S; Fagan, Matthew E; Coulston, John W; Thomas, Valerie A; Wynne, Randolph H; Fox, Thomas R; Quirino, Valquiria F. 2019. Forests. 10: 234 A1 Journal article (refereed), original research -
Utility of Image Point Cloud Data towards Generating Enhanced Multitemporal Multisensor Land Cover Maps
Gopalakrishnan, Ranjith; Seppänen, Aku; Kukkonen, Mikko; Packalen, Petteri. 2019. International journal of applied earth observation and geoinformation. 2020; 86: 1-11 A1 Journal article (refereed), original research -
Unmasking the story behind forest carbon flux: an integrated remote-sensing based approach
Ravindranath, N H; Gopalakrishnan, Ranjith. 2018. Environmental research letters. 13: 41001 A1 Journal article (refereed), original research -
Shrub detection using disparate airborne laser scanning acquisitions over varied forest cover types
Gopalakrishnan Ranjith, Thomas Valerie A, Wynne Randolph H, Coulston John W, Fox Thomas R. 2017. International journal of remote sensing. 2018; 39: 1220-1242 A1 Journal article (refereed), original research