User profiles for Samantha Wittke

Samantha Wittke

Researcher at Finnish Geospatial Research Institute and Aalto University, Finland
Verified email at aalto.fi
Cited by 200

[HTML][HTML] Comparison of two-dimensional multitemporal Sentinel-2 data with three-dimensional remote sensing data sources for forest inventory parameter estimation …

S Wittke, X Yu, M Karjalainen, J Hyyppä… - International Journal of …, 2019 - Elsevier
National Forest Inventories (NFI) are key data and tools to better understand the role of forests
in the global carbon budget. Traditionally inventories have been carried out as field work, …

[HTML][HTML] Land use optimization tool for sustainable intensification of high-latitude agricultural systems

…, H Laurila, J Sorvali, E Honkavaara, S Wittke… - Land Use Policy, 2019 - Elsevier
Recent studies assessing agricultural policies, including the EU’s Agri-Environment Scheme,
have shown that these have been successful in attaining some environmental goals. In …

[HTML][HTML] Pre-crop values from satellite images for various previous and subsequent crop combinations

…, L Jauhiainen, E Honkavaara, S Wittke… - Frontiers in Plant …, 2019 - frontiersin.org
Monocultural land use challenges sustainability of agriculture. Pre-crop value indicates the
benefits of a previous crop for a subsequent crop in crop sequencing and facilitates …

[HTML][HTML] Scalable crop yield prediction with Sentinel-2 time series and temporal convolutional network

M Yli-Heikkilä, S Wittke, M Luotamo, E Puttonen… - Remote Sensing, 2022 - mdpi.com
One of the precepts of food security is the proper functioning of the global food markets. This
calls for open and timely intelligence on crop production on an agroclimatically meaningful …

[HTML][HTML] Crop loss identification at field parcel scale using satellite remote sensing and machine learning

S Hiremath, S Wittke, T Palosuo, J Kaivosoja, F Tao… - PloS one, 2021 - journals.plos.org
Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss
is caused by many factors during the growing season; second, reliable reference data about …

[HTML][HTML] A clustering framework for monitoring circadian rhythm in structural dynamics in plants from terrestrial laser scanning time series

…, P Litkey, R Näsi, Z Feng, X Liang, S Wittke… - Frontiers in Plant …, 2019 - frontiersin.org
Terrestrial Laser Scanning (TLS) can be used to monitor plant dynamics with a frequency of
several times per hour and with sub-centimeter accuracy, regardless of external lighting …

[HTML][HTML] EODIE—Earth Observation Data Information Extractor

S Wittke, A Fouilloux, P Lehti, J Varho, A Kivimäki… - SoftwareX, 2023 - Elsevier
Remote sensing satellites provide a vast amount of data to monitor and observe Earth’s
surface and events on it. To use these data efficiently in subsequent analysis and decision-…

Foundational Competencies and Responsibilities of a Research Software Engineer

…, H Seibold, JP Thiele, H von Waldow, S Wittke - arXiv preprint arXiv …, 2023 - arxiv.org
The term Research Software Engineer, or RSE, emerged a little over 10 years ago as a way
to represent individuals working in the research community but focusing on software …

[PDF][PDF] Crop loss identification at field parcel scale using satellite remote sensing and machine learning

S Wittke, J Kaivosoja, F Tao, M Proll, P Marttinen… - 2021 - acris.aalto.fi
Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss
is caused by many factors during the growing season; second, reliable reference data about …

Extracting urban morphology for atmospheric modeling from multispectral and sar satellite imagery

S Wittke, K Karila, E Puttonen… - … Archives of the …, 2017 - isprs-archives.copernicus.org
This paper presents an approach designed to derive an urban morphology map from satellite
data while aiming to minimize the cost of data and user interference. The approach will …