Developing and comparing methods for mapping habitat types and conservation values using remote sensing data and GIS methods
Julkaistu sarjassa
Jyväskylä studies in biological and environmental scienceTekijät
Päivämäärä
2014Oppiaine
Ympäristötiede ja -teknologiaJulkaisija
University of JyväskyläISBN
978-951-39-5712-4ISSN Hae Julkaisufoorumista
1456-9701Julkaisuun sisältyy osajulkaisuja
- Article I: Räsänen, A., Rusanen, A., Kuitunen, M. & Lensu, A. 2013. What makes segmentation good? A case study in boreal forest habitat mapping. International Journal of Remote Sensing 34: 8603–8627. DOI:10.1080/01431161.2013.845318 .
- Article II: Räsänen, A., Kuitunen, M., Tomppo, E. & Lensu, A. 2014 Coupling high-resolution satellite imagery with ALS-based canopy height model and digital elevation model in object-based boreal forest habitat type classification. ISPRS Journal of Photogrammetry and Remote Sensing. 94, August,169–182 DOI: 10.1016/j.isprsjprs.2014.05.003
- Article III: Räsänen, A., Lensu, A., Tomppo, E. & Kuitunen, M. Comparison of different remote sensing and GIS methods to evaluate conservation values and ecosystem services in Southern Finland. Submitted manuscript.
- Article IV: Räsänen, A., Kuitunen, M., Hjort, J., Vaso, A., Kuitunen T. & Lensu, A. The role of landscape, topography, and geodiversity in explaining and predicting vascular plant species richness in a fragmented landscape, Southern Finland. Submitted manuscript.
Asiasanat
elinympäristötyypit suojeluarvot lajirunsaus airborne laser scanning conservation value habitat type object-based image analysis segmentation species richness spectral images metsämaisema habitaatti objektiperustainen kuva-analyysi kaukokartoitus paikkatietomenetelmät luokittelumenetelmät segmentointi laserkeilaus elinympäristöluokittelu
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What makes segmentation good? A case study in boreal forest habitat mapping
Räsänen, Aleksi; Rusanen, Antti; Kuitunen, Markku; Lensu, Anssi (Taylor & Francis, 2013)Segmentation goodness evaluation is a set of approaches meant for deciding which segmentation is good. In this study, we tested different supervised segmentation evaluation measures and visual interpretation in the case ... -
Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests
Bont, Leo Gallus; Hill, Andreas; Waser, Lars T.; Bürgi, Anton; Ginzler, Christian; Blattert, Clemens (Elsevier, 2020)Managing forests for ecosystem services and biodiversity requires accurate and spatially explicit forest inventory data. A major objective of forest management inventories is to estimate the standing timber volume for ... -
Comparison of methods to model species habitat networks for decision-making in nature conservation : the case of the wildcat in southern Belgium
Bourdouxhe, Axel; Duflot, Rémi; Radoux, Julien; Dufrêne, Marc (Elsevier, 2020)Facing the loss of biodiversity caused by landscape fragmentation, implementation of ecological networks to connect habitats is an important biodiversity conservation issue. It is necessary to develop easily reproducible ... -
AnatomySketch : An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development
Zhuang, Mingrui; Chen, Zhonghua; Wang, Hongkai; Tang, Hong; He, Jiang; Qin, Bobo; Yang, Yuxin; Jin, Xiaoxian; Yu, Mengzhu; Jin, Baitao; Li, Taijing; Kettunen, Lauri (Springer, 2022)The development of medical image analysis algorithm is a complex process including the multiple sub-steps of model training, data visualization, human–computer interaction and graphical user interface (GUI) construction. ... -
Editorial for the special issue "Frontiers in spectral imaging and 3D technologies for geospatial solutions"
Honkavaara, Eija; Karantzalos, Konstantinos; Liang, Xinlian; Nocerino, Erica; Pölönen, Ilkka; Rönnholm, Petri (MDPI, 2019)This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of ...
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