Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Maria Tsakiri–Strati"'
Publikováno v:
Remote Sensing, Vol 7, Iss 4, Pp 3633-3650 (2015)
Vegetation monitoring and mapping based on multi-temporal imagery has recently received much attention due to the plethora of medium-high spatial resolution satellites and the improved classification accuracies attained compared to uni-temporal appro
Externí odkaz:
https://doaj.org/article/1aefff6b249a4dbc9749c2419084dce0
Publikováno v:
Remote Sensing, Vol 10, Iss 8, p 1267 (2018)
Improved sensor characteristics are generally assumed to increase the potential accuracy of image classification and information extraction from remote sensing imagery. However, the increase in data volume caused by these improvements raise challenge
Externí odkaz:
https://doaj.org/article/9e74ee0fa1cf40f188fbe5de36827627
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 14:1508-1512
Spectral index time series can provide valuable phenological information into the classification process for the precise crop mapping, in order to reduce misclassification rates associated with low interclass and high intraclass spectral variability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a7b856fd77e26ac6d898b94316a2eff
https://doi.org/10.1109/lgrs.2017.2719124
https://doi.org/10.1109/lgrs.2017.2719124
Publikováno v:
Remote Sensing of Environment. 199:154-166
The overall aim of this study was to evaluate the use of seasonal time-series Landsat 8 Operational Land Imager (OLI) satellite imagery in estimating forest stand parameters in a heterogeneous Mediterranean environment. Within this framework, the ran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70a424300f299236409b2ca33377aead
https://doi.org/10.1016/j.rse.2017.07.018
https://doi.org/10.1016/j.rse.2017.07.018
Autor:
Ioannis Z. Gitas, Iain Woodhouse, Vassilia Karathanassi, Dimitris Zianis, Maria Tsakiri–Strati, Giorgos Mallinis, Kalliopi Radoglou, Georgia Galidaki
Publikováno v:
International Journal of Remote Sensing. 38:1940-1966
Carbon sequestration service of Mediterranean forest and other wooded land is threatened by their fragile, complex, and highly evolving nature, due to both human disturbances and climate change. Remote-sensing methods for forest biomass estimation ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd8fc2664281bbadc995bbea6253b0dc
https://doi.org/10.1080/01431161.2016.1266113
https://doi.org/10.1080/01431161.2016.1266113
Autor:
Giorgos Mallinis, Petros Patias, Maria Tsakiri-Strati, Danai Ifanti, Dimitris Kaimaris, Harris Georgiadis
Publikováno v:
Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d151a8ef1f9cd9616325646cf80482a9
https://doi.org/10.1117/12.2325512
https://doi.org/10.1117/12.2325512
Autor:
Sofia Siachalou, Panagiota Stournara, Maria Tsakiri-Strati, Georgia Doxani, Vasileios Tsioukas, Giorgos Mallinis
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W3, Pp 521-524 (2015)
Spatial explicit knowledge regarding the quantity and the spatial distribution of forest parameters is crucial for sustainable forest management, as well as in fulfilling national reporting needs in the framework of international treaties (i.e. Kyoto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fdb057fa378b73c0324c70e2b7e1807
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/521/2015/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/521/2015/
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 81:481-489
Multispectral images of very high spatial resolution and vector data from geospatial databases, such as cadastral maps, are among the cost-effective and broadly available geodata in urban environments. Therefore, we aim to address building change det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89effd1a5a3fd36c736f4f7730856e5f
https://doi.org/10.14358/pers.81.6.481
https://doi.org/10.14358/pers.81.6.481
Autor:
Charalampos Georgiadis, P. Stournara, Dimitrios Kaimaris, Vasileios Tsioukas, Maria Tsakiri-Strati
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W3, Pp 515-520 (2015)
Remote sensing facilitates the extraction of information for earth’s surface through its capability of acquiring images covering large areas and the availability of commercial software for their processing. The aim of this study is the feature extr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4f57da377a3b254ef28e25288ac1dc7
https://doi.org/10.5194/isprsarchives-xl-7-w3-515-2015
https://doi.org/10.5194/isprsarchives-xl-7-w3-515-2015
Autor:
Maria Tsakiri-Strati, Vassileios Giannakopoulos, Giorgos Mallinis, Fotis Maris, Ioannis Z. Gitas
Publikováno v:
International Journal of Digital Earth. :1-13
The aim of this study was to develop a straightforward approach for flood area mapping in a transboundary riverbed using Geographic Object-Based Image Analysis. Weak bilateral/multilateral cooperation among neighboring countries hampers effective dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ff62e0f9902464a5fb5d7abbfbb6700
https://doi.org/10.1080/17538947.2011.641601
https://doi.org/10.1080/17538947.2011.641601