CELESTI, MARCO
CELESTI, MARCO
DIPARTIMENTO DI SCIENZE DELL'AMBIENTE E DELLA TERRA (DEPARTMENT OF EARTH AND ENVIRONMENTAL SCIENCES - DISAT)
i-φ-MaLe: A novel hybrid machine learning phasor-based approach to retrieve a full-set of solar-induced fluorescence metrics and biophysical parameters
2023 Scodellaro, R; Cesana, I; D’Alfonso, L; Bouzin, M; Collini, M; Miglietta, F; Celesti, M; Schuettemeyer, D; Colombo, R; Chirico, G; Cogliati, S; Sironi, L
A novel hybrid machine learning phasor-based approach to retrieve a full set of solar-induced fluorescence metrics and biophysical parameters
2022 Scodellaro, R; Cesana, I; D'Alfonso, L; Bouzin, M; Collini, M; Chirico, G; Colombo, R; Miglietta, F; Celesti, M; Schuettemeyer, D; Cogliati, S; Sironi, L
Adjusting solar-induced fluorescence to nadir-viewing provides a better proxy for GPP
2022 Hao, D; Zeng, Y; Zhang, Z; Zhang, Y; Qiu, H; Biriukova, K; Celesti, M; Rossini, M; Zhu, P; Asrar, G; Chen, M
Evaluation of the Spatial Representativeness of In Situ SIF Observations for the Validation of Medium-Resolution Satellite SIF Products
2022 Rossini, M; Celesti, M; Bramati, G; Migliavacca, M; Cogliati, S; Rascher, U; Colombo, R
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review
2022 Berger, K; Machwitz, M; Kycko, M; Kefauver, S; Van Wittenberghe, S; Gerhards, M; Verrelst, J; Atzberger, C; van der Tol, C; Damm, A; Rascher, U; Herrmann, I; Paz, V; Fahrner, S; Pieruschka, R; Prikaziuk, E; Buchaillot, M; Halabuk, A; Celesti, M; Koren, G; Gormus, E; Rossini, M; Foerster, M; Siegmann, B; Abdelbaki, A; Tagliabue, G; Hank, T; Darvishzadeh, R; Aasen, H; Garcia, M; Pôças, I; Bandopadhyay, S; Sulis, M; Tomelleri, E; Rozenstein, O; Filchev, L; Stancile, G; Schlerf, M
Towards consistent assessments of in situ radiometric measurements for the validation of fluorescence satellite missions
2022 Buman, B; Hueni, A; Colombo, R; Cogliati, S; Celesti, M; Julitta, T; Burkart, A; Siegmann, B; Rascher, U; Drusch, M; Damm, A
Estimation of leaf nitrogen content and photosynthetic nitrogen use efficiency in wheat using sun-induced chlorophyll fluorescence at the leaf and canopy scales
2021 Jia, M; Colombo, R; Rossini, M; Celesti, M; Zhu, J; Cogliati, S; Cheng, T; Tian, Y; Zhu, Y; Cao, W; Yao, X
Practical approaches for normalizing directional solar-induced fluorescence to a standard viewing geometry
2021 Hao, D; Zeng, Y; Qiu, H; Biriukova, K; Celesti, M; Migliavacca, M; Rossini, M; Asrar, G; Chen, M
Dynamics of sun-induced chlorophyll fluorescence and reflectance to detect stress-induced variations in canopy photosynthesis
2020 Pinto, F; Celesti, M; Acebron, K; Alberti, G; Cogliati, S; Colombo, R; Juszczak, R; Matsubara, S; Miglietta, F; Palombo, A; Panigada, C; Pignatti, S; Rossini, M; Sakowska, K; Schickling, A; Schüttemeyer, D; Stróżecki, M; Tudoroiu, M; Rascher, U
Effects of varying solar-view geometry and canopy structure on solar-induced chlorophyll fluorescence and PRI
2020 Biriukova, K; Celesti, M; Evdokimov, A; Pacheco-Labrador, J; Julitta, T; Migliavacca, M; Giardino, C; Miglietta, F; Colombo, R; Panigada, C; Rossini, M
Multi-scale evaluation of drone-based multispectral surface reflectance and vegetation indices in operational conditions
2020 Fawcett, D; Panigada, C; Tagliabue, G; Boschetti, M; Celesti, M; Evdokimov, A; Biriukova, K; Colombo, R; Miglietta, F; Rascher, U; Anderson, K
Sun–induced fluorescence heterogeneity as a measure of functional diversity
2020 Tagliabue, G; Panigada, C; Celesti, M; Cogliati, S; Colombo, R; Migliavacca, M; Rascher, U; Rocchini, D; Schuttemeyer, D; Rossini, M
Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art
2020 Vargas, J; Bendig, J; Mac Arthur, A; Burkart, A; Julitta, T; Maseyk, K; Thomas, R; Siegmann, B; Rossini, M; Celesti, M; Schüttemeyer, D; Kraska, T; Muller, O; Rascher, U
A spectral fitting algorithm to retrieve the fluorescence spectrum from canopy radiance
2019 Cogliati, S; Celesti, M; Cesana, I; Miglietta, F; Genesio, L; Julitta, T; Schuettemeyer, D; Drusch, M; Rascher, U; Jurado, P; Colombo, R
Hyplant-derived Sun-Induced Fluorescence-A new opportunity to disentangle complex vegetation signals from diverse vegetation types
2019 Bandopadhyay, S; Rastogi, A; Rascher, U; Rademske, P; Schickling, A; Cogliati, S; Julitta, T; Mac Arthur, A; Hueni, A; Tomelleri, E; Celesti, M; Burkart, A; Stróżecki, M; Sakowska, K; Gąbka, M; Rosadziński, S; Sojka, M; Iordache, M; Reusen, I; Van Der Tol, C; Damm, A; Schuettemeyer, D; Juszczak, R
Sun-induced chlorophyll fluorescence III: Benchmarking retrieval methods and sensor characteristics for proximal sensing
2019 Cendrero-Mateo, M; Wieneke, S; Damm, A; Alonso, L; Pinto, F; Moreno, J; Guanter, L; Celesti, M; Rossini, M; Sabater, N; Cogliati, S; Julitta, T; Rascher, U; Goulas, Y; Aasen, H; Pacheco-Labrador, J; Arthur, A
The high-performance airborne imaging spectrometer HyPlant-from raw images to top-of-canopy reflectance and fluorescence products: Introduction of an automatized processing chain
2019 Siegmann, B; Alonso, L; Celesti, M; Cogliati, S; Colombo, R; Damm, A; Douglas, S; Guanter, L; Hanus, J; Kataja, K; Kraska, T; Matveeva, M; Moreno, J; Muller, O; Pikl, M; Pinto, F; Vargas, J; Rademske, P; Rodriguez-Morene, F; Sabater, N; Schickling, A; Schuttemeyer, D; Zemek, F; Rascher, U
Analysis of short-term vegetation dynamics combining hyperspectral measurements and RTMs inversion
2018 Celesti, M; van der Tol, C; Cogliati, S; Colombo, R; Miglietta, F; Panigada, C; Pinto, F; Rascher, U; Schüttemeyer, D; Tagliabue, G; Yang, P; Rossini, M
Characterisation of reflectance and chlorophyll fluorescence anisotropy – defining requirements for an experimental setup.
2018 Biriukova, K; Julitta, T; Celesti, M; Panigada, C; Evdokimov, A; Migliavacca, M; Rossini, M
Development of novel methods to evaluate vegetation status from multi-source remote sensing data
2018 Celesti, M