Urban Water Storage Capacity Inferred From Observed Evapotranspiration Recession

Autor: Jongen, HJ, Steeneveld, GJ, Beringer, J, Christen, A, Chrysoulakis, N, Jacobs, CMJ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::0c18e5266b35ef29857e884634d7574e
http://hdl.handle.net/10029/625603

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Evaluating remotely sensed rainfall estimates using nonlinear mixed models and geographically weighted regression

Autor: Kamarianakis, Y., Feidas, H., Kokolatos, G., Chrysoulakis, N., Karatzias, V.

Publikováno v: In Environmental Modelling and Software 2008 23(12):1438-1447

Spatial and seasonal patterns in vegetation growth-limiting factors over Europe

Autor: Karnieli A.[1], Ohana-Levi N.[1, Silver M.[1], Paz-Cagan T.[3], Panov N.[1], Varghese N.[1], Chrysoulakis N.[4], Provenzale A.[5]

Publikováno v: Remote sensing (Basel) 11 (2019).
info:cnr-pdr/source/autori:Karnieli A.[1], Ohana-Levi N.[1,2], Silver M.[1], Paz-Cagan T.[3], Panov N.[1], Varghese N.[1], Chrysoulakis N.[4], Provenzale A.[5]/titolo:Spatial and seasonal patterns in vegetation growth-limiting factors over Europe./doi:/rivista:Remote sensing (Basel)/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:11

Water and energy are recognized as the most influential climatic vegetation growth-limiting factors. These factors are usually measured from ground meteorological stations. However, since both vary in space, time, and scale, they can be assessed by s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::7a7cba3c6de21765e0de17f8d221703b
https://www.mdpi.com/journal/remotesensing

Integration of satellite remote sensing data in ecosystem modelling at local scales: Practices and trends

Autor: Pasetto, D., Arenas-Castro, S., Bustamante, Javier, Casagrandi, R., Chrysoulakis, N., Cord, A.F., Dittrich, A., Domingo-Marimon, Cristina, El Serafy, G., Karnieli, A., Kordelas, G.A., Manakos, I., Mari, L., Monteiro, A., Palazzi, E., Poursanidis, Dimitris, Rinaldo, A., Terzago, S., Ziemba, A., Ziv, G.

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
Methods in Ecology and Evolution, 9(8)
Methods in Ecology and Evolution
Methods in ecology and evolution (Online) (2018). doi:10.1111/2041-210X.13018
info:cnr-pdr/source/autori:Damiano Pasetto, Salvador Arenas-Castro, Javier Bustamante, Renato Casagrandi, Nektarios Chrysoulakis, Anna F. Cord, Andreas Dittrich, Cristina Domingo-Marimon, Ghada El Serafy, Arnon Karnieli, Georgios A. Kordelas, Ioannis Manakos, Lorenzo Mari, Antonio Monteiro, Elisa Palazzi, Dimitris Poursanidis, Andrea Rinaldo, Silvia Terzago, Alex Ziemba, Guy Ziv/titolo:Integration of satellite remote sensing data in ecosystem modelling at local scales: Practices and trends/doi:10.1111%2F2041-210X.13018/rivista:Methods in ecology and evolution (Online)/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume

1. Spatiotemporal ecological modelling of terrestrial ecosystems relies on climato- logical and biophysical Earth observations. Due to their increasing availability, global coverage, frequent acquisition and high spatial resolution, satellite remote

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e929b9dd8be848341632a27debfe579c
http://hdl.handle.net/10261/201829