Zobrazeno 1 - 10
of 352
pro vyhledávání: '"Verrelst P"'
Autor:
Dávid D.Kovács, Pablo Reyes-Muñoz, Katja Berger, Viktor Ixion Mészáros, Gabriel Caballero, Jochem Verrelst
Publikováno v:
Ecological Informatics, Vol 83, Iss , Pp 102816- (2024)
Operational Earth observation missions, like the Sentinel-3 (S3) satellites, aim to provide imagery for long-term environmental assessment to monitor and analyze vegetation changes and dynamics. However, the S3 archive is limited in temporal availabi
Externí odkaz:
https://doaj.org/article/33f9c74bf3384519937ea4b946d36b4b
Autor:
Mingming Jia, Xianxian Guo, Lin Zhang, Mao Wang, Wenqing Wang, Chunyan Lu, Chuanpeng Zhao, Rong Zhang, Ming Wang, Hengqi Yan, Zongming Wang, Jochem Verrelst
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103905- (2024)
Accurately quantifying functional traits across large scales is considered fundamental for the management and conservation of existing mangrove ecosystems. In recent years, hybrid models, which combine radiative transfer model simulations with machin
Externí odkaz:
https://doaj.org/article/2b944ebf01f04a6e933a15f4a19013b1
Autor:
L. Kooistra, K. Berger, B. Brede, L. V. Graf, H. Aasen, J.-L. Roujean, M. Machwitz, M. Schlerf, C. Atzberger, E. Prikaziuk, D. Ganeva, E. Tomelleri, H. Croft, P. Reyes Muñoz, V. Garcia Millan, R. Darvishzadeh, G. Koren, I. Herrmann, O. Rozenstein, S. Belda, M. Rautiainen, S. Rune Karlsen, C. Figueira Silva, S. Cerasoli, J. Pierre, E. Tanır Kayıkçı, A. Halabuk, E. Tunc Gormus, F. Fluit, Z. Cai, M. Kycko, T. Udelhoven, J. Verrelst
Publikováno v:
Biogeosciences, Vol 21, Pp 473-511 (2024)
Vegetation productivity is a critical indicator of global ecosystem health and is impacted by human activities and climate change. A wide range of optical sensing platforms, from ground-based to airborne and satellite, provide spatially continuous in
Externí odkaz:
https://doaj.org/article/08edba472f3f458dbcf0bd7402953206
Autor:
Elahe Akbari, Ali Darvishi Boloorani, Jochem Verrelst, Stefano Pignatti, Najmeh Neysani Samany, Saeid Soufizadeh, Saeid Hamzeh
Publikováno v:
Frontiers in Agronomy, Vol 6 (2024)
IntroductionAquaCrop is a water-driven crop growth model that simulates aboveground biomass production in croplands. This study aimed to identify the driving parameters of the AquaCrop model for the model calibration and simplification to fill the re
Externí odkaz:
https://doaj.org/article/3b28dc48b90241a39aa6ceef1dd134a6
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2284 (2024)
Biophysical variables play a crucial role in understanding phenological stages and crop dynamics, optimizing ultimate agricultural practices, and achieving sustainable crop yields. This study examined the effectiveness of the Sentinel-2 Biophysical P
Externí odkaz:
https://doaj.org/article/538e44e34eb14203b62f6e38a6e2e844
Publikováno v:
in Advanced Analysis and Learning on Temporal Data. AALTD 2015.Lecture Notes in Computer Science, vol 9785. Springer, Cham
Gaussian Processes (GPs) has experienced tremendous success in geoscience in general and for bio-geophysical parameter retrieval in the last years. GPs constitute a solid Bayesian framework to formulate many function approximation problems consistent
Externí odkaz:
http://arxiv.org/abs/2012.11922
Autor:
Verrelst, Jochem, Rivera, Juan Pablo, Gitelson, Anatoly, Delegido, Jesus, Moreno, José, Camps-Valls, Gustau
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation Volume 52, October 2016, Pages 554-567
With current and upcoming imaging spectrometers, automated band analysis techniques are needed to enable efficient identification of most informative bands to facilitate optimized processing of spectral data into estimates of biophysical variables. T
Externí odkaz:
http://arxiv.org/abs/2012.08640
Autor:
Estevez, Jose, Vicent, Jorge, Rivera-Caicedo, Juan Pablo, Morcillo-Pallarés, Pablo, Vuolo, Francesco, Sabater, Neus, Camps-Valls, Gustau, Moreno, José, Verrelst, Jochem
Publikováno v:
Preprint of paper published in ISPRS Journal of Photogrammetry and Remote Sensing Volume 167, September 2020, Pages 289-304
Retrieval of vegetation properties from satellite and airborne optical data usually takes place after atmospheric correction, yet it is also possible to develop retrieval algorithms directly from top-of-atmosphere (TOA) radiance data. One of the key
Externí odkaz:
http://arxiv.org/abs/2012.05111
Autor:
Vicent, J., Verrelst, J., Rivera-Caicedo, J. P., Sabater, N., Muñoz-Marí, J., Camps-Valls, G., Moreno, J.
End-to-end mission performance simulators (E2ES) are suitable tools to accelerate satellite mission development from concet to deployment. One core element of these E2ES is the generation of synthetic scenes that are observed by the various instrumen
Externí odkaz:
http://arxiv.org/abs/2012.05133
Autor:
Berger, Katja, Verrelst, Jochem, Féret, Jean-Baptiste, Hank, Tobias, Wocher, Matthias, Mauser, Wolfram, Camps-Valls, Gustau
Publikováno v:
Preprint version of the paper in International Journal of Applied Earth Observation and Geoinformation, Volume 92, October 2020, 102174
Hyperspectral acquisitions have proven to be the most informative Earth observation data source for the estimation of nitrogen (N) content, which is the main limiting nutrient for plant growth and thus agricultural production. In the past, empirical
Externí odkaz:
http://arxiv.org/abs/2012.05043