The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLVIII-3-2024
https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-445-2024
https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-445-2024
07 Nov 2024
 | 07 Nov 2024

Firefront Forecasting in Boreal Forests: Machine Learning Approach to Predict Wildfire Propagation

Anna-Maria Raita-Hakola and Ilkka Pölönen

Related authors

COMBINING YOLO V5 AND TRANSFER LEARNING FOR SMOKE-BASED WILDFIRE DETECTION IN BOREAL FORESTS
A.-M. Raita-Hakola, S. Rahkonen, J. Suomalainen, L. Markelin, R. Oliveira, T. Hakala, N. Koivumäki, E. Honkavaara, and I. Pölönen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1771–1778, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1771-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1771-2023, 2023
UPDATING STRATEGIES FOR DISTANCE BASED CLASSIFICATION MODEL WITH RECURSIVE LEAST SQUARES
A.-M. Raita-Hakola and I. Pölönen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 163–170, https://doi.org/10.5194/isprs-annals-V-3-2022-163-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-163-2022, 2022
PIECEWISE ANOMALY DETECTION USING MINIMAL LEARNING MACHINE FOR HYPERSPECTRAL IMAGES
A-M. Raita-Hakola and I. Pölönen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 89–96, https://doi.org/10.5194/isprs-annals-V-3-2021-89-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-89-2021, 2021
MINIMAL LEARNING MACHINE IN ANOMALY DETECTION FROM HYPERSPECTRAL IMAGES
I. Pölönen, K. Riihiaho, A.-M. Hakola, and L. Annala
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 467–472, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-467-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-467-2020, 2020