Errors related to the automatized satellite-based change detection of boreal forests in Finland

Autor: Timo P. Pitkänen, Laura Sirro, Lauri Häme, Tuomas Häme, Markus Törmä, Annika Kangas

Publikováno v: International Journal of Applied Earth Observations and Geoinformation, Vol 86, Iss , Pp 102011- (2020)

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 wa

Externí odkaz: https://doaj.org/article/9e44ddb4d0ca4176b2bafe8246ae66e0

A Hierarchical Clustering Method for Land Cover Change Detection and Identification

Autor: Tuomas Häme, Laura Sirro, Jorma Kilpi, Lauri Seitsonen, Kaj Andersson, Timo Melkas

Publikováno v: Remote Sensing, Vol 12, Iss 11, p 1751 (2020)

A method to detect abrupt land cover changes using hierarchical clustering of multi-temporal satellite imagery was developed. The Autochange method outputs the pre-change land cover class, the change magnitude, and the change type. Pre-change land co

Externí odkaz: https://doaj.org/article/7de44e179b404497bff0bfcce29a01de

Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a Sample from VHR Imagery

Autor: Imangholiloo, Tuomas Häme, Heikki Astola, Jorma Kilpi, Yrjö Rauste, Laura Sirro, Teemu Mutanen, Eija Parmes, Jussi Rasinmäki, Mohammad

Publikováno v: Remote Sensing; Volume 15; Issue 12; Pages: 3029

Our objective was to develop a method for the assessment of forest area and structural variables for cases in which the availability of representative ground reference data is poor and these data are not collected from the whole area of interest. We

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::1afe60ff0dcd93754c7ece5e15569b8a

Errors related to the automatized satellite-based change detection of boreal forests in Finland

Autor: Laura Sirro, Timo P. Pitkänen, Lauri Häme, Markus Törmä, Annika Kangas, Tuomas Häme

Publikováno v: Pitkänen, T P, Sirro, L, Häme, L, Häme, T, Törmä, M & Kangas, A 2020, ' Errors related to the automatized satellite-based change detection of boreal forests in Finland ', International Journal of Applied Earth Observation and Geoinformation, vol. 86, 102011 . https://doi.org/10.1016/j.jag.2019.102011

Highlights • Forest changes were automatically modelled from multitemporal Sentinel-2 images. • Errors were evaluated based on visually interpreted VHR images. • Extraction of clear-cuts was accurate whereas thinnings had more variation. • Im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e47c77a893cdf9fa134a4e597cf741ee
https://cris.vtt.fi/en/publications/5d3ac17c-4401-4aee-a8de-2cef46930c67

Potential of Different Optical and SAR Data in Forest and Land Cover Classification to Support REDD+ MRV

Autor: Jorma Kilpi, Katja Gunia, Laura Sirro, Jarno Hämäläinen, Yrjö Rauste, Tuomas Häme, Fernando Paz Pellat, Bernardus Hendricus jozeph De Jong

Publikováno v: Sirro, L, Häme, T, Rauste, Y, Kilpi, J, Hämäläinen, J, Gunia, K, de Jong, B & Paz Pellat, F 2018, ' Potential of Different Optical and SAR Data in Forest and Land Cover Classification to Support REDD+ MRV ', Remote Sensing, vol. 10, no. 6, 942 . < http://www.mdpi.com/2072-4292/10/6/942 >
VTT Technical Research Centre of Finland-PURE
Remote Sensing, Vol 10, Iss 6, p 942 (2018)
Remote Sensing
Volume 10
Issue 6

The applicability of optical and synthetic aperture radar (SAR) data for land cover classification to support REDD+ (Reducing Emissions from Deforestation and Forest Degradation) MRV (measuring, reporting and verification) services was tested on a tr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1661eca019830409d9468138b90e8fc7
https://cris.vtt.fi/en/publications/7ad18b37-0385-4474-824f-5c68f50374f0