TY  -  
T1  - Errors related to the automatized satellite-based change detection of boreal forests in Finland 
SN  -  / 1569-8432 
UR  - http://hdl.handle.net/10138/336902 
T3  - International Journal of Applied Earth Observation and Geoinformation 86 (2020) 
A1  - Pitkänen, Timo P.; Sirro, Laura; Häme, Lauri; Häme, Tuomas; Törmä, Markus; Kangas, Annika 
A2  -  
PB  - ScienceDirect 
Y1  - 2020 
LA  - en 
AB  - The majority of the boreal forests in Finland are regularly thinned or clear-cut, and these actions are regulated by the Forest Act. To generate a near-real time tool for monitoring management actions, an automatic change detection modelling chain was developed using Sentinel-2 satellite images. In this paper, we focus mainly on the error evaluation of this automatized workflow to understand and mitigate incorrect change detections. Validation material related to clear-cut, thinned and unchanged... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - change monitoring; forest management; accuracy assessment; errors; error evaluation; evaluation; visual evaluation; automation; satellites; satellite-based; satellite images; detection; satellite-based detection; forests; boreal forests; real-time tool; monitoring; management; automatic change detection modelling chain; Sentinel-2; automatized workflow; change detections; VHR; VHR images; clear-cut; thinned; unchanged; forest characteristics; evaluation of forest characteristics; validation data; classification; change categories; trees; broadleaved trees; image quality; clouds; mapping; mapping frequency; trade-off; cloud cover; growing season; modeling; prediction; material; remote sensing; Earth & Environmental Sciences; Finland; muutosten seuranta; metsän hoito; tarkkuuden arviointi; virheet; virheiden arviointi; arviointi; visuaalinen arviointi; automaatio; satelliitit; kaukokartoitus; tunnistus; tunnistaminen; metsät; boreaaliset metsät; reaaliaikaisuus; reaaliaikainen työkalu; monitorointi; hallinta; muutosten tunnistaminen; metsien ominaisuudet; luokittelu; muutoskategoriat; puut; kuvanlaatu; pilvet; pilvipeite; kartoitus; kartoitusfrekvenssi; kasvukausi; mallintaminen; ennustaminen; materiaali; Suomi 
N1  -   
PP  -  
ER  -