Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lien T.H. Pham"'
Publikováno v:
Ecological Informatics. 50:43-50
Riparian regions are essential habitats for wildlife and play a vital role in agricultural production, but they are highly dynamic environments impacted by fluctuations of water levels. Monitoring vegetation types along narrow river corridors is comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc794625016a2db4b22c9a8a71bd5ae8
https://doi.org/10.1016/j.ecoinf.2018.12.006
https://doi.org/10.1016/j.ecoinf.2018.12.006
Publikováno v:
Remote Sensing Applications: Society and Environment. 13:298-305
Mangrove forests are useful in protecting coastal lines, reducing atmospheric carbon dioxide (CO2), and providing shelters and foods for ecosystems, but they are among the top threatened habitats worldwide caused by human activities, climate change,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a69ce2859e091f412f40847e05f01960
https://doi.org/10.1016/j.rsase.2018.11.009
https://doi.org/10.1016/j.rsase.2018.11.009
Autor:
Lars Brabyn, Lien T.H. Pham
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 128:86-97
Mangrove forests are well-known for their provision of ecosystem services and capacity to reduce carbon dioxide concentrations in the atmosphere. Mapping and quantifying mangrove biomass is useful for the effective management of these forests and max
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40916e731c74e40d1dc0388143ca83e0
https://doi.org/10.1016/j.isprsjprs.2017.03.013
https://doi.org/10.1016/j.isprsjprs.2017.03.013
Publikováno v:
Environmental Monitoring and Assessment. 191
Monitoring water surface dynamics is essential for the management of lakes and reservoirs, especially those are intensively impacted by human exploitation and climatic variation. Although modern satellites have provided a superior solution over tradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f9d3ac29bf0df2b176c0486c943ea00
https://doi.org/10.1007/s10661-019-7355-x
https://doi.org/10.1007/s10661-019-7355-x
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 50:187-197
There are now a wide range of techniques that can be combined for image analysis. These include the use of object-based classifications rather than pixel-based classifiers, the use of LiDAR to determine vegetation height and vertical structure, as we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e48dc192e1f126bd14f806b040d8675
https://doi.org/10.1016/j.jag.2016.03.015
https://doi.org/10.1016/j.jag.2016.03.015
Autor:
Thanh Duc Dang, Nguyen Thi Thuy, Lien T.H. Pham, Nguyen Ky Phung, Nguyen Thi Bay, Pham Thi Loi, Dao Nguyen Khoi
Publikováno v:
Regional Studies in Marine Science. 34:101087
Understanding river bank and shoreline dynamics is important for ecological conservation, livelihood stabilization, water resources management and hazard mitigation, but this is always a difficult task because the river and coastal morphology is infl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7069a193e8fe8e0a38e0dbd18a1358d
https://doi.org/10.1016/j.rsma.2020.101087
https://doi.org/10.1016/j.rsma.2020.101087
Publikováno v:
Pham, L T H, Brabyn, L, Duc Dang, T & Gouk, H 2019, ' Comparison of combination of dimensionality reduction and classification techniques for identifying tree species using integrated QuickBird imagery and Lidar data ', Journal of Applied Remote Sensing, vol. 13, no. 1, 018502 . https://doi.org/10.1117/1.JRS.13.018502
Combining data of different types and from different sources for the classification of tree species has gained popularity recently, but training models on such datasets often requires more computational demands and does not always result in higher ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef11e94ce92314fd9eb34c0e9ba39371
https://doi.org/10.1117/1.jrs.13.018502
https://doi.org/10.1117/1.jrs.13.018502