Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Elnaz Neinavaz"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103049- (2022)
The leaf area index (LAI) is a crucial biophysical variable for remote sensing vegetation studies. LAI estimation through remote sensing data has mostly been investigated using visible and near-infrared (0.4–1.3 μm, VNIR) and Shortwave Infrared (1
Externí odkaz:
https://doaj.org/article/cf5af2e5d33a42c982b5c4b7c830df55
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102415- (2021)
Vegetation plays a vital role in the ecological functioning of terrestrial and coastal ecosystems. Remote sensing generally provides timely and accurate information to manage ecosystems sustainably and effectively. In this respect, thermal infrared (
Externí odkaz:
https://doaj.org/article/bfe248c6d12a4e3f902547d36a298741
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 85, Iss , Pp 101984- (2020)
Predicting land surface energy budgets requires precise information of land surface emissivity (LSE) and land surface temperature (LST). LST is one of the essential climate variables as well as an important parameter in the physics of land surface pr
Externí odkaz:
https://doaj.org/article/16613e1f2c754dd19ac9aa77c489a9a4
Publikováno v:
Remote Sensing, Vol 11, Iss 4, p 390 (2019)
Leaf area index (LAI) has been investigated in multiple studies, either by means of visible/near-infrared and shortwave-infrared or thermal infrared remotely sensed data, with various degrees of accuracy. However, it is not yet known how the integrat
Externí odkaz:
https://doaj.org/article/f19a126b56eb45c089c7cecfb1f38dc0
Autor:
Roshanak Darvishzadeh, Elnaz Neinavaz, Margarita Huesca Martinez, Nieuwenhuis, W., Néstor Fernández, Andrew Skidmore
Publikováno v:
Living Planet Symposium, LPS 2022
University of Twente Research Information (Pure Portal)
University of Twente Research Information (Pure Portal)
Continuous availability of Sentinel data has opened a new era for timely assessing vegetation biophysical and biochemical parameters - several identified as Essential Biodiversity Variables (EBVs) under GEOBON EBVs classes- over large areas. Such par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a5974ae1bb8c009331332446d243255c
https://research.utwente.nl/en/publications/aa43a01e-bdb2-4f05-a5fe-caa1893c5ce6
https://research.utwente.nl/en/publications/aa43a01e-bdb2-4f05-a5fe-caa1893c5ce6
Autor:
Andrew K. Skidmore, Nicholas C. Coops, Elnaz Neinavaz, Abebe Ali, Michael E. Schaepman, Marc Paganini, W. Daniel Kissling, Petteri Vihervaara, Roshanak Darvishzadeh, Hannes Feilhauer, Miguel Fernandez, Néstor Fernández, Noel Gorelick, Ilse Geijzendorffer, Uta Heiden, Marco Heurich, Donald Hobern, Stefanie Holzwarth, Frank E. Muller-Karger, Ruben Van De Kerchove, Angela Lausch, Pedro J. Leitão, Marcelle C. Lock, Caspar A. Mücher, Brian O’Connor, Duccio Rocchini, Claudia Roeoesli, Woody Turner, Jan Kees Vis, Tiejun Wang, Martin Wegmann, Vladimir Wingate
Publikováno v:
Nature Ecology and Evolution (2021)
Nature Ecology and Evolution, 5(12), 1639-1639
Nature Ecology and Evolution 5 (2021) 12
Nature Ecology and Evolution
Nature Ecology and Evolution, 5(12), 1639-1639
Nature Ecology and Evolution 5 (2021) 12
Nature Ecology and Evolution
In the version of this Perspective initially published, there was an error in units reported in the main text. Specifically, in the first sentence of the sixth paragraph under the heading “A critical review of EBVs retrieved by remote sensing,” i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db1f42241838ae7d18ac18bb9dc189b0
https://research.wur.nl/en/publications/author-correction-priority-list-of-biodiversity-metrics-to-observ-2
https://research.wur.nl/en/publications/author-correction-priority-list-of-biodiversity-metrics-to-observ-2
Autor:
Barth De Lathouwer, M. F. Voidrot, Michelle Cortes, Julian Meyer-Arnek, B. L. Bye, Nuno Catarino, Pedro Gonzalves, Elnaz Neinavaz, Koushik Panda, Joan Masó, B. Janssen, Alaitz Zabala
Publikováno v:
EGU-General Assembly 2020
The geosciences communities share common challenges related to effective use of the vast and growing amount of data as well as the continueous development of new technology. It is therefore a great potential in learning from the experiences and knowl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8c97834cd46a5215a5908aeddb54693
https://research.utwente.nl/en/publications/94668a71-51e5-4dff-a295-7db6f877e5a5
https://research.utwente.nl/en/publications/94668a71-51e5-4dff-a295-7db6f877e5a5
Publikováno v:
EGU-General Assembly 2020
Precise estimation of land surface emissivity (LSE) is essential to predict land surface energy budgets and land surface temperature, as LSE is an indicator of material composition. There exist several approaches to LSE estimation employing remote se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::541f58f97b0df168796970244acf1ab6
https://doi.org/10.5194/egusphere-egu2020-16632
https://doi.org/10.5194/egusphere-egu2020-16632
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation, 102:102415, 1-12. Elsevier
International Journal of Applied Earth Observation and Geoinformation
International Journal of Applied Earth Observation and Geoinformation
Vegetation plays a vital role in the ecological functioning of terrestrial and coastal ecosystems. Remote sensing generally provides timely and accurate information to manage ecosystems sustainably and effectively. In this respect, thermal infrared (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a2e54fb88c31a31fde6629ca934fba1
https://doi.org/10.1016/j.jag.2021.102415
https://doi.org/10.1016/j.jag.2021.102415