Deep Neural Networks with Transfer Learning for Forest Variable Estimation Using Sentinel-2 Imagery in Boreal Forest

Autor: Heikki Astola, Lauri Seitsonen, Eelis Halme, Matthieu Molinier, Anne Lönnqvist

Publikováno v: Remote Sensing, Vol 13, Iss 12, p 2392 (2021)

Estimation of forest structural variables is essential to provide relevant insights for public and private stakeholders in forestry and environmental sectors. Airborne light detection and ranging (LiDAR) enables accurate forest inventory, but it is e

Externí odkaz: https://doaj.org/article/b7a0a7d1f39546f2a130d67d8e6766fc

Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images

Autor: Tuomas Häme, Kimmo Kortelainen, Anne Lönnqvist, Yrjö Rauste, Oleg Antropov

Publikováno v: IGARSS
Antropov, O, Lönnqvist, A, Rauste, Y, Kortelainen, K & Häme, T 2021, Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images . in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS ., 9554477, IEEE Institute of Electrical and Electronic Engineers, pp. 6272-6275, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 11/07/21 . https://doi.org/10.1109/IGARSS47720.2021.9554477

In this study, we evaluate the performance of several imaging modes of X-band satellite SAR data in mapping various forest logging operations. We use stripmap and spotlight data acquired by DLR's TanDEM-X mission and ICEYE SAR satellites. Also, the p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::296fe1fb6e4b11c3fc2708897e1d7328
https://doi.org/10.1109/igarss47720.2021.9554477

Classification of Wide-Area SAR Mosaics:Deep Learning Approach for Corine Based Mapping of Finland Using Multitemporal Sentinel-1 Data

Autor: Oleg Antropov, Yrjö Rauste, Jaan Praks, Vladimir Ignatenko, Sanja Sepanovic, Anne Lönnqvist

Publikováno v: Antropov, O, Rauste, Y, Šćepanović, S, Ignatenko, V, Lönnqvist, A & Praks, J 2020, Classification of Wide-Area SAR Mosaics : Deep Learning Approach for Corine Based Mapping of Finland Using Multitemporal Sentinel-1 Data . in 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 : Proceedings ., 9323855, IEEE Institute of Electrical and Electronic Engineers, IEEE International Geoscience and Remote Sensing Symposium Proceedings, pp. 4283-4286, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Waikoloa, Hawaii, United States, 26/09/20 . https://doi.org/10.1109/IGARSS39084.2020.9323855
IGARSS

Here, we examine a deep learning approach to perform land cover classification using country-wide SAR mosaics compiled using multitemporal Sentinel-1 imagery. We capitalize on our earlier study [1], demonstrating the suitability of deep learning mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68d9d6760979fdabd03b31c0c2ea6e5a
https://cris.vtt.fi/en/publications/29d9187f-88c8-4836-bc03-10e13e9f85fb

Polarimetric SAR data in land cover mapping in boreal zone

Autor: Anne Lönnqvist, Matthieu Molinier, Tuomas Häme, Yrjö Rauste

Publikováno v: Lönnqvist, A, Rauste, Y, Molinier, M & Häme, T 2010, ' Polarimetric SAR data in land cover mapping in boreal zone ', IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 10, 5475228, pp. 3652-3662 . https://doi.org/10.1109/TGRS.2010.2048115

This paper compares ALOS PALSAR fully polarimetric and dual-polarized data in the application area of land cover mapping. To assure versatile comparison of the data, different classification methods and different features of data are used. Two of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81a86d15715577a0cd5c3e50192dd375
https://cris.vtt.fi/en/publications/791d5a5d-696b-4dd8-9fbd-5a03498a3e7c

Monostatic Reflectivity Measurement of Radar Absorbing Materials at 310 GHz

Autor: Antti V. Räisänen, Aleksi Tamminen, Anne Lönnqvist, Juha Mallat

Publikováno v: Lönnqvist, A, Tamminen, A, Mallat, J & Räisänen, A V 2006, ' Monostatic reflectivity measurement of radar absorbing materials at 310 GHz ', IEEE Transactions on Microwave Theory and Techniques, vol. 54, no. 9, 1684142, pp. 3486-3490 . https://doi.org/10.1109/TMTT.2006.881023

This paper presents monostatic reflectivity measurements of radar absorbing materials at 310 GHz in a phase-hologram-based compact range. The radar cross-section method was used and the backscattered reflection was measured with horizontal and vertic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3dd1075693a0400c1dd2fc6dae5e8a8
https://doi.org/10.1109/tmtt.2006.881023