E-LIB Suche - Ergebnisse für: Hame, Tuomas

1

Forest Area and Structural Variable Estimation in Boreal Fo..:

Häme, Tuomas ; Astola, Heikki ; Kilpi, Jorma...
Remote Sensing. 15 (2023) 12 - p. 3029 , 2023

2

Tree canopy extent and height change in Europe, 2001–2021, ..:

Turubanova, Svetlana ; Potapov, Peter ; Hansen, Matthew C....
Remote Sensing of Environment. 298 (2023) - p. 113797 , 2023

Link: https://doi.org/10.1016/..

3

Deep Learning Model Transfer in Forest Mapping Using Multi-..:

Ge, Shaojia ; Antropov, Oleg ; Häme, Tuomas..
Remote Sensing. 15 (2023) 21 - p. 5152 , 2023

Link: https://doi.org/10.3390/..

4

Intercomparison of Earth Observation Data and Methods for F..:

, In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,

Antropov, Oleg ; Miettinen, Jukka ; Hame, Tuomas... - p. 5777-5780 , 2022

Link: https://doi.org/10.1109/..

5

Demonstration of large area forest volume and primary produ..:

Miettinen, Jukka ; Carlier, Simon ; Häme, Lauri...
International Journal of Remote Sensing. 42 (2021) 24 - p. 9467-9489 , 2021

Link: https://doi.org/10.1080/..

6

A Methodology for Implementing a Digital Twin of the Earth'..:

Mõttus, Matti ; Dees, Matthias ; Astola, Heikki...
GI_Forum. 1 (2021) - p. 130-136 , 2021

Link: https://doi.org/10.1553/..

7

Energy from Biomass: Assessing Sustainability by Geoinforma..:

Häme, Tuomas ; Sirro, Laura ; Dees, Matthias...
GI_Forum. 1 (2021) - p. 137-142 , 2021

Link: https://doi.org/10.1553/..

8

Mapping Forest Disturbance Due to Selective Logging in the ..:

Antropov, Oleg ; Rauste, Yrjö ; Praks, Jaan..
Remote Sensing. 13 (2021) 4 - p. 740 , 2021

Link: https://doi.org/10.3390/..

9

A Hierarchical Clustering Method for Land Cover Change Dete..:

Häme, Tuomas ; Sirro, Laura ; Kilpi, Jorma...
Remote Sensing. 12 (2020) 11 - p. 1751 , 2020

Link: https://doi.org/10.3390/..

10

Errors related to the automatized satellite-based change de..:

Pitkänen, Timo P. ; Sirro, Laura ; Häme, Lauri...
International Journal of Applied Earth Observation and Geoinformation. 86 (2020) - p. 102011 , 2020

Link: https://doi.org/10.1016/..

11

Estimation of forest structure parameters in Mexico by inte..:

Urbazaev, Mikhail , [2019?]

Link: https://nbn-resolving.de..

12

Providing Reference Forest Biomass Data for EO Imagery : A ..:

, In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium,

Molinier, Matthieu ; Tergujeff, Renne ; Toivanen, Timo... - p. 8574-8577 , 2019

Link: https://doi.org/10.1109/..

13

Metsävaratiedon ajantasaistus – satelliittikuviin perustuva..:

Sirro, Laura ; Häme, Lauri ; Pitkänen, Timo...
Metsätieteen aikakauskirja. 2019 (2019) 0 - p. , 2019

Link: https://doi.org/10.14214..

14

Taimikoiden tiedonkeruun automatisointi:

Tokola, Timo ; Holopainen, Markus ; Häme, Tuomas..
Metsätieteen aikakauskirja. 2019 (2019) 0 - p. , 2019

Link: https://doi.org/10.14214..

15

Comparison of Sentinel-2 and Landsat 8 imagery for forest v..:

Astola, Heikki ; Häme, Tuomas ; Sirro, Laura..
Remote Sensing of Environment. 223 (2019) - p. 257-273 , 2019

Link: https://doi.org/10.1016/..