Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Tamás Tomor"'
Publikováno v:
GIScience & Remote Sensing, Vol 54, Iss 6, Pp 862-880 (2017)
The aim of this paper was to analyze the ground and low vegetation points of a Light Detection and Ranging (LiDAR) point cloud from the aspect of the generated digital terrain model (DTM). We determined the height difference between the surveyed surf
Externí odkaz:
https://doaj.org/article/62ed2d91e88d4e1993c896fcd2e9bb4a
Autor:
Zsuzsanna Szabó, Botond Buró, József Szabó, Csaba Albert Tóth, Edina Baranyai, Petra Herman, József Prokisch, Tamás Tomor, Szilárd Szabó
Publikováno v:
Water, Vol 12, Iss 2, p 563 (2020)
The spatial complexity of floodplains is a function of several processes: hydrodynamics, flow direction, sediment transportation, and land use. Sediments can bind toxic elements, and as there are several pollution sources, the risk of heavy metal acc
Externí odkaz:
https://doaj.org/article/ba0eede1e17540f0bb84a8e4104c505c
Publikováno v:
Remote Sensing, Vol 7, Iss 2, Pp 2046-2066 (2015)
Alkali landscapes hold an extremely fine-scale mosaic of several vegetation types, thus it seems challenging to separate these classes by remote sensing. Our aim was to test the applicability of different image classification methods of hyperspectral
Externí odkaz:
https://doaj.org/article/1ff4cfbc44564c438e8d9194e2d3a850
Publikováno v:
Landscape & Environment. 12:1-9
In our paper we examined the opportunities of a classification based on descriptive statistics of NDVIthroughout a year’s time series dataset. We used NDVI layers derived from cloud-free Sentinel-2 imagesin 2018. The NDVI layers were processed by o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63ffdcd65fecf33a8cee979c6a24d67c
https://doi.org/10.21120/le/12/2/1
https://doi.org/10.21120/le/12/2/1
Autor:
Tamás Tomor, Petra Herman, József Szabó, Szilárd Szabó, József Prokisch, Csaba Tóth, Botond Buró, Edina Baranyai, Zsuzsanna Szabó
Publikováno v:
Water, Vol 12, Iss 2, p 563 (2020)
Water
Volume 12
Issue 2
Water
Volume 12
Issue 2
The spatial complexity of floodplains is a function of several processes: hydrodynamics, flow direction, sediment transportation, and land use. Sediments can bind toxic elements, and as there are several pollution sources, the risk of heavy metal acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::959fe5681612802755e7edcc05bf14f1
https://www.mdpi.com/2073-4441/12/2/563
https://www.mdpi.com/2073-4441/12/2/563
Publikováno v:
WHISPERS
In this study high spatial resolution (1 m) hyperspectral images and LiDAR data (8p/m2) was applied to discriminate among tree species of mixed forest. The main objective of this study was to apply machine learning methods using crown segments for im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c7568e04387724610a8aa22f3eefbfb
https://doi.org/10.1109/whispers.2019.8921016
https://doi.org/10.1109/whispers.2019.8921016
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3/W3, Pp 427-431 (2015)
In our study we classified grassland vegetation types of an alkali landscape (Eastern Hungary), using different image classification methods for hyperspectral data. Our aim was to test the applicability of hyperspectral data in this complex system us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43c46a65aa0f5573d717feff62c94496
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/427/2015/isprsarchives-XL-3-W3-427-2015.pdf
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/427/2015/isprsarchives-XL-3-W3-427-2015.pdf
Publikováno v:
Remote Sensing, Vol 7, Iss 2, Pp 2046-2066 (2015)
Remote Sensing; Volume 7; Issue 2; Pages: 2046-2066
Remote Sensing; Volume 7; Issue 2; Pages: 2046-2066
Alkali landscapes hold an extremely fine-scale mosaic of several vegetation types, thus it seems challenging to separate these classes by remote sensing. Our aim was to test the applicability of different image classification methods of hyperspectral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee3fad39e681c9a77eb6c3be40d1f263
http://www.mdpi.com/2072-4292/7/2/2046
http://www.mdpi.com/2072-4292/7/2/2046
The aim of this paper was to analyze the ground and low vegetation points of a Light Detection and Ranging (LiDAR) point cloud from the aspect of the generated digital terrain model (DTM). We determined the height difference between the surveyed surf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::945873c90d143a4a0135206630eb0e72
Autor:
Tamás Tomor
Publikováno v:
Acta Agraria Debreceniensis. :90-93
The Bihar plain situated in the Great Hungarian Plain has altitudinal values between 87 and 108 meters above Baltic level and these low average values decreases from East to West. We can find on this place a surface water network with a high density;
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68b0fb7217e6154498e319a9821cb534
https://doi.org/10.34101/actaagrar/10/3472
https://doi.org/10.34101/actaagrar/10/3472