Blue target classification and Heureka
Lundström, J. (2018). Blue target classification and Heureka. 5th European Congress of Conservation Biology. doi: 10.17011/conference/eccb2018/108011
Authors
Date
2018Copyright
© the Authors, 2018
Forest and its waters are closely connected and dependent on each other. This means that management activities in the forest affect water quality. To be able to take as effective consideration as possible it is important to have guidelines that can guide actions to areas and activities with the highest effect at the lowest cost. Blue target classification is a classification system for water environments developed by WWF in cooperation with Swedish forest companies. The system has been evaluated and is considered having good potential for improving water quality consideration within forestry. But for the classification system to be able to be utilised on large scale, and to be as effective as possible there is a need for easy to use methods that can connect a stream classification with adjacent forest’s planning. Heureka is the leading forest planning system in Sweden, and we have developed a tool within Heureka that can do just that.
Publisher
Open Science Centre, University of JyväskyläConference
ECCB2018: 5th European Congress of Conservation Biology. 12th - 15th of June 2018, Jyväskylä, Finland
Original source
https://peerageofscience.org/conference/eccb2018/108011/Metadata
Show full item recordCollections
- ECCB 2018 [712]
License
Related items
Showing items with similar title or keywords.
-
Instance-Based Multi-Label Classification via Multi-Target Distance Regression
Hämäläinen, Joonas; Nieminen, Paavo; Kärkkäinen, Tommi (ESANN, 2021)Interest in multi-target regression and multi-label classification techniques and their applications have been increasing lately. Here, we use the distance-based supervised method, minimal learning machine (MLM), as a base ... -
Mapping the sound world of the flute: towards a new classification of standard and extended techniques
Delisle, Julie (Department of Music, University of Jyväskylä & Finnish Centre for Interdisciplinary Music Research, 2016)In the last decades, some literature has been published about extended techniques, and composers have made them part of the contemporary music language. However, the classification of extended techniques in these writings ... -
Land cover classification from multispectral data using convolutional autoencoder networks
Mäyrä, Janne (2018)Syväoppiminen saanut paljon huomiota 2000-luvun puolivälistä alkaen, ja tänä päivänä sen sovelluksia on lähes kaikkialla. Samalla aikavälillä avoimen satelliittikuvadatan määrä on kasvanut, erityisesti Sentinel-2 satelliittien ... -
Unstable feature relevance in classification tasks
Skrypnyk, Iryna (University of Jyväskylä, 2011) -
Solving classification problems with multicriteria decision aiding approaches
Yevseyeva, Iryna (University of Jyväskylä, 2007)Iryna Yevseyevan väitöskirjan aiheena on päätöksentekijän avustaminen hänen ratkaistessaan vaativia ja monimutkaisia luokittelutehtäviä. Tällaisia tehtäviä esiintyy erityyppisessä diagnostiikassa, esimerkiksi lääketieteen ...