Janne Heiskanen

According to our database, Janne Heiskanen authored at least 32 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unsupervised Adaptation Learning for Real Multiplatform Hyperspectral Image Denoising.

Zhaozhi Luo, Xinyu Wang, Petri Pellikka, Janne Heiskanen, Yanfei Zhong

IEEE Trans. Cybern., October, 2024

Correction: Ocholla et al. Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques. Remote Sens. 2024, 16, 2929.

Ian A. Ocholla, Petri Pellikka, Faith Karanja, Ilja Vuorinne, Tuomas Väisänen, Mark Boitt, Janne Heiskanen

Remote. Sens., October, 2024

Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques.

Ian A. Ocholla, Petri Pellikka, Faith Karanja, Ilja Vuorinne, Tuomas Väisänen, Mark Boitt, Janne Heiskanen

Remote. Sens., August, 2024

East African megafauna influence on vegetation structure permeates from landscape to tree level scales.

Hanna Elisabet Sorokina, Matheus Henrique Nunes, Janne Heiskanen, Martha Munyao, James Mwang'ombe, Petri Pellikka, Pasi Raumonen, Eduardo Eiji Maeda

Ecol. Informatics, March, 2024

An Insight Into the Internal Consistency of MODIS Global Leaf Area Index Products.

Xingjian Zhang, Kai Yan, Jinxiu Liu, Kai Yan, Jiabin Pu, Guangjian Yan, Janne Heiskanen, Peng Zhu, Yuri Knyazikhin, Ranga B. Myneni

IEEE Trans. Geosci. Remote. Sens., 2024

Unsupervised hyperspectral noise estimation and restoration via interband-invariant representation learning.

Zhaozhi Luo, Janne Heiskanen, Xinyu Wang, Yanfei Zhong, Petri Pellikka

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

Evaluating the temporal patterns of land use and precipitation under desertification in the semi-arid region of Brazil.

Bruno Fonseca da Silva, Rodrigo Zimmerle dos Santos Rodrigues, Janne Heiskanen, Temesgen Alemayehu Abera, Suelen Cristina Gasparetto, Adriele Giaretta Biase, Maria Victoria Ramos Ballester, Yhasmin Mendes de Moura, Sônia Maria de Stefano Piedade, Andrezza Karla de Oliveira Silva, Plínio Barbosa de Camargo

Ecol. Informatics, November, 2023

Improving the Quality of MODIS LAI Products by Exploiting Spatiotemporal Correlation Information.

Jingrui Wang, Kai Yan, Si Gao, Jiabin Pu, Jinxiu Liu, Taejin Park, Jian Bi, Eduardo Eiji Maeda, Janne Heiskanen, Yuri Knyazikhin, Ranga B. Myneni

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network.

Maria Yli-Heikkilä, Samantha Wittke, Markku Luotamo, Eetu Puttonen, Mika Sulkava, Petri Pellikka, Janne Heiskanen, Arto Klami

Remote. Sens., 2022

Spectral Temporal Information for Missing Data Reconstruction (STIMDR) of Landsat Reflectance Time Series.

Zhipeng Tang, Giuseppe Amatulli, Petri K. E. Pellikka, Janne Heiskanen

Remote. Sens., 2022

Land Cover Map for Multifunctional Landscapes of Taita Taveta County, Kenya, Based on Sentinel-1 Radar, Sentinel-2 Optical, and Topoclimatic Data.

Temesgen Alemayehu Abera, Ilja Vuorinne, Martha Munyao, Petri K. E. Pellikka, Janne Heiskanen

Data, 2022

2021

Assessing Leaf Biomass of Agave sisalana Using Sentinel-2 Vegetation Indices.

Ilja Vuorinne, Janne Heiskanen, Petri K. E. Pellikka

Remote. Sens., 2021

Mapping Cropland Burned Area in Northeastern China by Integrating Landsat Time Series and Multi-Harmonic Model.

Jinxiu Liu, Du Wang, Eduardo Eiji Maeda, Petri K. E. Pellikka, Janne Heiskanen

Remote. Sens., 2021

Sensitivity of Spectral Indices on Burned Area Detection using Landsat Time Series in Savannas of Southern Burkina Faso.

Jinxiu Liu, Eduardo Eiji Maeda, Du Wang, Janne Heiskanen

Remote. Sens., 2021

A method for predicting large-area missing observations in Landsat time series using spectral-temporal metrics.

Zhipeng Tang, Hari Adhikari, Petri K. E. Pellikka, Janne Heiskanen

Int. J. Appl. Earth Obs. Geoinformation, 2021

2020

Producing a Gap-free Landsat Time Series for the Taita Hills, Southeastern Kenya.

Zhipeng Tang, Hari Adhikari, Petri K. E. Pellikka, Janne Heiskanen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Do airborne laser scanning biomass prediction models benefit from Landsat time series, hyperspectral data or forest classification in tropical mosaic landscapes?

Janne Heiskanen, Hari Adhikari, Rami Piiroinen, Petteri Packalen, Petri K. E. Pellikka

Int. J. Appl. Earth Obs. Geoinformation, 2019

2018

Burned area detection based on Landsat time series in savannas of southern Burkina Faso.

Jinxiu Liu, Janne Heiskanen, Eduardo Eiji Maeda, Petri K. E. Pellikka

Int. J. Appl. Earth Obs. Geoinformation, 2018

2017

Classification of Tree Species in a Diverse African Agroforestry Landscape Using Imaging Spectroscopy and Laser Scanning.

Rami Piiroinen, Janne Heiskanen, Eduardo Maeda, Arto Viinikka, Petri Pellikka

Remote. Sens., 2017

Determinants of Aboveground Biomass across an Afromontane Landscape Mosaic in Kenya.

Hari Adhikari, Janne Heiskanen, Mika Siljander, Eduardo Maeda, Vuokko Heikinheimo, Petri K. E. Pellikka

Remote. Sens., 2017

Improved Characterization of Forest Transmissivity Within the L-MEB Model Using Multisensor SAR Data.

Jaakko Seppänen, Oleg Antropov, Thomas Jagdhuber, Martti Hallikainen, Janne Heiskanen, Jaan Praks

IEEE Geosci. Remote. Sens. Lett., 2017

The effect of topography on arctic-alpine aboveground biomass and NDVI patterns.

Henri Riihimäki, Janne Heiskanen, Miska Luoto

Int. J. Appl. Earth Obs. Geoinformation, 2017

2016

Measurements of Boreal Coniferous Forest Soil and Humus With an Airborne Radiometer.

Jaakko Seppänen, Juha Kainulainen, Janne Heiskanen, Jaan Praks, Martti Hallikainen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Land Cover Characterization in West Sudanian Savannas Using Seasonal Features from Annual Landsat Time Series.

Jinxiu Liu, Janne Heiskanen, Ermias Aynekulu, Eduardo Eiji Maeda, Petri K. E. Pellikka

Remote. Sens., 2016

The effect of topographic normalization on fractional tree cover mapping in tropical mountains: An assessment based on seasonal Landsat time series.

Hari Adhikari, Janne Heiskanen, Eduardo Eiji Maeda, Petri Pellikka

Int. J. Appl. Earth Obs. Geoinformation, 2016

2015

Classification of crops across heterogeneous agricultural landscape in Kenya using AisaEAGLE imaging spectroscopy data.

Rami Piiroinen, Janne Heiskanen, Matti Mottus, Petri Pellikka

Int. J. Appl. Earth Obs. Geoinformation, 2015

2013

Seasonal Contribution of Understory Vegetation to the Reflectance of a Boreal Landscape at Different Spatial Scales.

Miina Rautiainen, Janne Heiskanen

IEEE Geosci. Remote. Sens. Lett., 2013

2012

Atmospheric correction of a seasonal time series of Hyperion EO-1 images and red edge inflection point calculation.

Veli-Heikki Vesanto, Matti Mottus, Janne Heiskanen, Miina Rautiainen, Titta Majasalmi

Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

Hyperspectral datasets of boreal forest understory vegetation in Finland.

Miina Rautiainen, Janne Heiskanen, Matti Mottus, Jouni Peltoniemi

Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

2011

Retrieval of boreal forest LAI using a forest reflectance model and empirical regressions.

Janne Heiskanen, Miina Rautiainen, Lauri Korhonen, Matti Mottus, Pauline Stenberg

Int. J. Appl. Earth Obs. Geoinformation, 2011

Generating fine resolution leaf area index maps for boreal forests of Finland.

Janne Heiskanen, Miina Rautiainen, Lauri Korhonen, Matti Mottus, Pauline Stenberg

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

Estimating canopy spectral invariants from ground reference and remote sensing data.

Miina Rautiainen, Pauline Stenberg, Petr Lukes, Matti Mottus, Janne Heiskanen

Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010