Sergio Cogliati

University of Milano-Bicocca

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Roberto Colombo

University of Milano-Bicocca

103

Micol Rossini

University of Milano-Bicocca

Uwe Rascher

Forschungszentrum Jülich

Cinzia Panigada

University of Milano-Bicocca

Tommaso Julitta

Center For Remote Sensing (United States)

Anke Schickling

European Space Research Institute

Marco Celesti

European Space Research and Technology Centre

Michele Meroni

Joint Research Centre

Giulia Tagliabue

University of Milano-Bicocca

Francisco Pinto

Centro Internacional de Mejoramiento de Maíz Y Trigo

Cooperative Institutions

University of Milano-Bicocca

National Research Council

University of Milan

Forschungszentrum Jülich

National Academies of Sciences, Engineering, and Medicine

University of Nebraska–Lincoln

Joint Research Centre

Universitat de València

Centre National de la Recherche Scientifique

University of Florence

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

High resolution field spectroscopy measurements for estimating gross ecosystem production in a rice field

Agricultural and Forest Meteorology (2010)

Micol Rossini Michele Meroni Mirco Migliavacca Giovanni Manca Sergio Cogliati

Photosynthetically active radiation

Ecosystem respiration

Enhanced vegetation index

Spectral resolution

10.1016/j.agrformet.2010.05.011

Cite

Citations (126)

Evaluation of PRISMA Products Over Snow in the Alps and Antarctica

Earth and Space Science (2024)

Biagio Di Mauro Sergio Cogliati Niklas Bohn Giacomo Traversa Roberto Garzonio

Abstract PRISMA is a hyperspectral satellite mission launched by the Italian Space Agency (ASI) in April 2019. The mission is designed to collect data at global scale for a variety of applications, including those related to the cryosphere. This study presents an evaluation of PRISMA Level 1 (L1) and Level 2 (L2D) products for different snow conditions. To the aim, PRISMA data were collected at three sites: two in the Western European Alps (Torgnon and Plateau Rosa) and one in East Antarctica (Nansen Ice Shelf). PRISMA data were acquired contemporary to both field measurements and Sentinel‐2 data. Simulated Top of the Atmosphere (TOA) radiance data were then compared to L1 PRISMA and Sentinel‐2 TOA radiance. Bottom Of Atmosphere (BOA) reflectance from PRISMA L2D and Sentinel‐2 L2A data were then evaluated by direct comparison with field data. Both TOA radiance and BOA reflectance PRISMA products were generally in good agreement with field data, showing a Mean Absolute Difference (MAD) lower than 5%. L1 PRISMA TOA radiance products resulted in higher MAD for the site of Torgnon, which features the highest topographic complexity within the investigated areas. In Plateau Rosa we obtained the best comparison between PRISMA L2D reflectance data and in situ measurements, with MAD values lower than 5% for the 400–900 nm range. The Nansen Ice Shelf instead resulted in MAD values <10% between PRISMA L2D and field data, while Sentinel‐2 BOA reflectance showed higher values than other data sources.

10.1029/2023ea003482

Cite

Citations (2)

Sun Induced Fluorescence: A Bottom-Up Approach in Chlorophyll-Deficient and Green Soybean

M Cendrero Mateo Karolina Sakowska Marco Celesti Anke Schickling Giulia Tagliabue

Source

Cite

Citations (0)

Preliminary Investigation on Phytoplankton Dynamics and Primary Production Models in an Oligotrophic Lake from Remote Sensing Measurements

Sensors (2021)

Ilaria Cesana Mariano Bresciani Sergio Cogliati Claudia Giardino Remika Gupana

The aim of this study is to test a series of methods relying on hyperspectral measurements to characterize phytoplankton in clear lake waters. The phytoplankton temporal evolutions were analyzed exploiting remote sensed indices and metrics linked to the amount of light reaching the target (EPAR), the chlorophyll-a concentration ([Chl-a]OC4) and the fluorescence emission proxy. The latter one evaluated by an adapted version of the Fluorescence Line Height algorithm (FFLH). A peculiar trend was observed around the solar noon during the clear sky days. It is characterized by a drop of the FFLH metric and the [Chl-a]OC4 index. In addition to remote sensed parameters, water samples were also collected and analyzed to characterize the water body and to evaluate the in-situ fluorescence (FF) and absorbed light (FA). The relations between the remote sensed quantities and the in-situ values were employed to develop and test several phytoplankton primary production (PP) models. Promising results were achieved replacing the FA by the EPAR or FFLH in the equation evaluating a PP proxy (R2 > 0.65). This study represents a preliminary outcome supporting the PP monitoring in inland waters by means of remote sensing-based indices and fluorescence metrics.

Noon

10.3390/s21155072

Cite

Citations (5)

Variability of sun‐induced chlorophyll fluorescence according to stand age‐related processes in a managed loblolly pine forest

Global Change Biology (2018)

Roberto Colombo Marco Celesti Remo Bianchi P. K. E. Campbell Sergio Cogliati

Leaf fluorescence can be used to track plant development and stress, and is considered the most direct measurement of photosynthetic activity available from remote sensing techniques. Red and far-red sun-induced chlorophyll fluorescence (SIF) maps were generated from high spatial resolution images collected with the HyPlant airborne spectrometer over even-aged loblolly pine plantations in North Carolina (United States). Canopy fluorescence yield (i.e., the fluorescence flux normalized by the light absorbed) in the red and far-red peaks was computed. This quantifies the fluorescence emission efficiencies that are more directly linked to canopy function compared to SIF radiances. Fluorescence fluxes and yields were investigated in relation to tree age to infer new insights on the potential of those measurements in better describing ecosystem processes. The results showed that red fluorescence yield varies with stand age. Young stands exhibited a nearly twofold higher red fluorescence yield than mature forest plantations, while the far-red fluorescence yield remained constant. We interpreted this finding in a context of photosynthetic stomatal limitation in aging loblolly pine stands. Current and future satellite missions provide global datasets of SIF at coarse spatial resolution, resulting in intrapixel mixture effects, which could be a confounding factor for fluorescence signal interpretation. To mitigate this effect, we propose a surrogate of the fluorescence yield, namely the Canopy Cover Fluorescence Index (CCFI) that accounts for the spatial variability in canopy structure by exploiting the vegetation fractional cover. It was found that spatial aggregation tended to mask the effective relationships, while the CCFI was still able to maintain this link. This study is a first attempt in interpreting the fluorescence variability in aging forest stands and it may open new perspectives in understanding long-term forest dynamics in response to future climatic conditions from remote sensing of SIF.

Loblolly pine

10.1111/gcb.14097

Cite

Citations (32)

The PRISMA imaging spectroscopy mission: overview and first performance analysis

Remote Sensing of Environment (2021)

Sergio Cogliati Francesco Sarti Leandro Chiarantini M. Cosi Rino Lorusso

VNIR

Imaging spectrometer

Imaging Spectroscopy

Spectral resolution

10.1016/j.rse.2021.112499

Cite

Citations (216)

REMOTE SENSING OF SUN-INDUCED CHLOROPHYLLFLUORESCENCE AT DIFFERENT SCALES

Roberto Colombo Uwe Rascher Anke Schickling Sergio Cogliati Panos Kokkalis

Source

Cite

Citations (0)

Sun-Induced chlorophyll Fluorescence full spectrum retrieval and analysis of long-term time series

Ilaria Cesana Sergio Cogliati Marco Celesti Tommaso Julitta Roberto Colombo

Remote sensing of Sun-Induced chlorophyll Fluorescence (SIF) represents a growing and promising area of research in support of the upcoming ESA&#8217;s FLEX (FLuorescence EXplorer) satellite mission. For this reason, the link between SIF and photosynthetic activity has been widely explored in the recent years, as tool to characterize and monitoring terrestrial ecosystems functioning.&#160;The SIF detection is challenging because this faint signal (which represents only few percent of the total radiance) is over imposed on the light reflected from the Earth&#8217;s surface. Decoupling these two contributions is not trivial and dedicated algorithms are needed. For this reason, a novel SIF retrieval algorithm, named SpecFit, has been developed in order to retrieve the entire SIF spectrum in the entire wavelength interval in which chlorophyll fluorescence emission occurs (670-768 nm). This novel approach is able to disentangle SIF and reflectance contributions from the total radiance spectrum emerging from the top of canopy. Nevertheless, the further interpretation of the SIF spectrum in relation to plant photosynthesis is complicated by the fact that the SIF signal is strongly influenced by several biophysical parameters, such as canopy structure and chlorophyll content that affect the leaves/canopy radiation transfer and therefore the overall remote sensed signal.&#160;The proposed work aims to verify first the SpecFit algorithm robustness on both simulated and field data and, second to investigate the potential of novel fluorescence indexes defined from the SIF full spectrum.&#160; &#160;&#160;The algorithm accuracy has been tested on a set of simulated data, obtained by coupling MODTRAN (atmosphere) and SCOPE (canopy) radiative transfer models. Scatterplots between forward simulations and retrieved SIF showed R2 close to 0.98 considering all the evaluated metrics, namely: maximum of the peaks in the red and far-red and SIF spectrum integral.The temporal series acquired during the ESA&#8217;s ATMOFlex and FLEXSense campaigns organised in an agricultural area in Braccagni (Tuscany, Italy) were, instead, used to test the algorithm on experimental measures acquired with FLOX spectrometers, from February to August on different crops (forage, alfalfa and corn). For the first time, SIF spectra observed on different vegetation species at different growing stages are presented in this work and their consistency with SIF values estimated by the more consolidated and widely used Spectral Fitting retrieval Method (SFM) are presented. The relationship found shows a linear regression slopes close to 1, intercepts approximately equal to 0 and R2 higher than 0.92 are all evidences of the SpecFit accuracy. &#160;&#160;The final step consists in analysing the temporal evolution of novel fluorescence indexes derived from the SIF spectrum. Specifically, SpecFit SIF evaluated at 760 nm and 687 nm and normalized by the retrieved spectrum integral (SIFSpecFit/SIFINT) were compared to the index SIF760/SIF687, the latter is a proxy of the chlorophyll content. SIF760/SIF687 and SIF760/SIFINT increase linearly during the growing season due to re-absorption processes that affect both the indexes. Conversely, an inverse relationship is found between SIF760/SIF687and SIF687/SIFINT because the contribute in the visible red wavelengths to the integral become weaker at increasing biomass content.&#160;

10.5194/egusphere-egu2020-21306

Cite

Citations (0)

SIFFI: Bayesian solar-induced fluorescence retrieval algorithm for remote sensing of vegetation

Remote Sensing of Environment (2024)

Antti Kukkurainen Antti Lipponen Ville Kolehmainen Antti Arola Sergio Cogliati

10.1016/j.rse.2024.114558

Cite

Citations (0)

Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers

Remote Sensing (2016)

Tommaso Julitta Lawrence A. Corp Micol Rossini Andreas Burkart Sergio Cogliati

Remote Sensing of Sun-Induced Chlorophyll Fluorescence (SIF) is a research field of growing interest because it offers the potential to quantify actual photosynthesis and to monitor plant status. New satellite missions from the European Space Agency, such as the Earth Explorer 8 FLuorescence EXplorer (FLEX) mission—scheduled to launch in 2022 and aiming at SIF mapping—and from the National Aeronautics and Space Administration (NASA) such as the Orbiting Carbon Observatory-2 (OCO-2) sampling mission launched in July 2014, provide the capability to estimate SIF from space. The detection of the SIF signal from airborne and satellite platform is difficult and reliable ground level data are needed for calibration/validation. Several commercially available spectroradiometers are currently used to retrieve SIF in the field. This study presents a comparison exercise for evaluating the capability of four spectroradiometers to retrieve SIF. The results show that an accurate far-red SIF estimation can be achieved using spectroradiometers with an ultrafine resolution (less than 1 nm), while the red SIF estimation requires even higher spectral resolution (less than 0.5 nm). Moreover, it is shown that the Signal to Noise Ratio (SNR) plays a significant role in the precision of the far-red SIF measurements.

Spectroradiometer

10.3390/rs8020122

Cite

Citations (63)