Janne Heiskanen

University of Helsinki

Finland

Research Interests

Explore related searches

Professors in Finland

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (20)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (13)

Sheila Wachiye

University of Helsinki

FINLAND

View details

Ashfak Mahmud

University of Helsinki

FINLAND

View details

Zhaozhi Luo

University of Helsinki

FINLAND

View details

Ilja Vuorinne

University of Helsinki

FINLAND

View details

Petri Pellikka

University of Helsinki

FINLAND

View details

Edouard Davin

Professor, Climate Scenarios for Sustainable Development

University of Bern

SWITZERLAND

View details

Arto Klami

Professor

University of Helsinki

FINLAND

View details

Tuomas Väisänen

University of Helsinki

FINLAND

View details

Tino Petri Johansson

University of Helsinki

FINLAND

View details

Matti Räsänen

University of Helsinki

FINLAND

View details

Temesgen Alemayehu Abera

University of Helsinki

FINLAND

View details

Iris Aalto

University of Helsinki

FINLAND

View details

Hari Adhikari

University of Helsinki

FINLAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Janne Heiskanen

Research Interests

Explore related searches

Contact this professor

Articles (20)

County-level cropland fragmentation in China (1990–2023): a bidirectional transformation perspective

Comparative analysis of global urban land surface phenology between the MODIS and VIIRS products and extraction methods

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

Natural forest regeneration is projected to reduce local temperatures

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

Comparison of Field and Imaging Spectroscopy to Optimize Soil Organic Carbon and Nitrogen Estimation in Field Laboratory Conditions

Unsupervised Adaptation Learning for Real Multiplatform Hyperspectral Image Denoising

Improving the accuracy of honey bee forage class mapping using ensemble learning and multi-source satellite data in Google Earth Engine

Repeat airborne laser scanning to assess canopy height changes in tropical montane forests

Deforestation amplifies climate change effects on warming and cloud level rise in African montane forests

Contribution of Tree Size and Species on Aboveground Biomass across Land Cover Types in the Taita Hills, Southern Kenya

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

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

Strong influence of trees outside forest in regulating microclimate of intensively modified Afromontane landscapes

Mapping the distribution of invasive tree species using deep one-class classification in the tropical montane landscape of Kenya

Soil greenhouse gas emissions from a sisal chronosequence in Kenya

Allometric models for estimating leaf biomass of sisal in a semi-arid environment in Kenya

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

Observed Changes of Köppen Climate Zones Based on High‐Resolution Data Sets in the Qinghai‐Tibet Plateau

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

Collaborators (13)

Sheila Wachiye

Ashfak Mahmud

Zhaozhi Luo

Ilja Vuorinne

Petri Pellikka

Edouard Davin

Arto Klami

Tuomas Väisänen

Tino Petri Johansson

Matti Räsänen

Temesgen Alemayehu Abera

Iris Aalto

Hari Adhikari

Make your next move.