Ranjith Gopalakrishnan
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View article: Prediction and mapping of boreal forest fire fuel loads using high-resolution satellite stereo imagery
Prediction and mapping of boreal forest fire fuel loads using high-resolution satellite stereo imagery Open
View article: A machine learning approach for epileptic seizure detection using BEMD and long short term memory neural networks
A machine learning approach for epileptic seizure detection using BEMD and long short term memory neural networks Open
Many patients are affected by Epilepsy, a prevalent neurological disorder. They are characterised by aberrant signal discharges on EEG (electroencephalogram). Visual examination of EEG recordings is labor-intensive, subjective, and needs s…
View article: Can tree cover extent be estimated directly from ICESat-2 spaceborne lidar data?
Can tree cover extent be estimated directly from ICESat-2 spaceborne lidar data? Open
We performed the estimation at two boreal forest areas in Finland, Valtimo and Pello, using two methods: post-classification and logistic regression estimation. In post-classification, dominant height and canopy cover were estimated first,…
View article: Prediction and Mapping of Boreal Forest Fire Fuel Loads Using High-Resolution Satellite Stereo Imagery
Prediction and Mapping of Boreal Forest Fire Fuel Loads Using High-Resolution Satellite Stereo Imagery Open
View article: Evaluation of a forest radiative transfer model using an extensive boreal forest inventory database
Evaluation of a forest radiative transfer model using an extensive boreal forest inventory database Open
| openaire: EC/H2020/771049/EU//FREEDLES Funding Information: We acknowledge funding for this work from the Academy of Finland (grant number 317741 for the OPTIMAM project, grant number 337127 for the UNITE flagship , grant number 317387 f…
View article: Optimizing the airborne laser scanning estimation of basal area larger than mean ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"> <mml:mrow> <mml:mi mathvariant="italic">BALM</mml:mi> </mml:mrow> </mml:math> ): An indicator of cohort balance in forests
Optimizing the airborne laser scanning estimation of basal area larger than mean ( ): An indicator of cohort balance in forests Open
View article: The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland
The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland Open
View article: Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas
Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas Open
Globally, urban areas are rapidly expanding and high-quality remote sensing products are essential to help guide such development towards efficient and sustainable pathways. Here, we present an algorithm to address a common problem in digi…
View article: Utility of image point cloud data towards generating enhanced multitemporal multisensor land cover maps
Utility of image point cloud data towards generating enhanced multitemporal multisensor land cover maps Open
Multitemporal land cover classification over urban areas is challenging, especially when using heterogeneous data sources with variable quality attributes. A prominent challenge is that classes with similar spectral signatures (such as tre…
View article: A method for vertical adjustment of digital aerial photogrammetry data by using a high-quality digital terrain model
A method for vertical adjustment of digital aerial photogrammetry data by using a high-quality digital terrain model Open
The accuracy of vertical position information can be degraded by various sources of error in digital aerial photogrammetry (DAP) based point clouds. To address this issue, we propose a relatively straightforward method for automated correc…
View article: Creating Landscape-Scale Site Index Maps for the Southeastern US Is Possible with Airborne LiDAR and Landsat Imagery
Creating Landscape-Scale Site Index Maps for the Southeastern US Is Possible with Airborne LiDAR and Landsat Imagery Open
Sustainable forest management is hugely dependent on high-quality estimates of forest site productivity, but it is challenging to generate productivity maps over large areas. We present a method for generating site index (a measure of such…
View article: Unmasking the story behind forest carbon flux: an integrated remote-sensing based approach
Unmasking the story behind forest carbon flux: an integrated remote-sensing based approach Open
View article: Beyond Finding Change: multitemporal Landsat for forest monitoring and management
Beyond Finding Change: multitemporal Landsat for forest monitoring and management Open
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\nTobler’s Law still in effect with time series – spatial autocorrelation in temporal coherence can help in both preprocessing and estimation
\nContinual process improvement in extant algorithms needed
\nNeed additional means b…
View article: Prediction of Canopy Heights over a Large Region Using Heterogeneous Lidar Datasets: Efficacy and Challenges
Prediction of Canopy Heights over a Large Region Using Heterogeneous Lidar Datasets: Efficacy and Challenges Open
Generating accurate and unbiased wall-to-wall canopy height maps from airborne lidar data for large regions is useful to forest scientists and natural resource managers. However, mapping large areas often involves using lidar data from dif…