Multitemporal assessment of crop parameters using multisensorial flying platforms

UAV sensors suitable for precision farming (Sony NEX-5n RGB camera; Canon Powershot modified to infrared sensitivity; MCA6 Tetracam; UAV spectrometer) were compared over differently treated grassland. The high resolution infrared and RGB camera allows spatial analysis of vegetation cover while the UAV spectrometer enables detailed analysis of spectral reflectance at single points. The high spatial and six-band spectral resolution of the MCA6 combines the opportunities of spatial and spectral analysis, but requires huge calibration efforts to acquire reliable data. All investigated systems were able to provide useful information in different distinct research areas of interest in the spatial or spectral domain. The UAV spectrometer was further used to assess multiangular reflectance patterns of wheat. By flying the UAV in a hemispherical path and directing the spectrometer towards the center of this hemisphere, the system acts like a large goniometer. Other than ground based goniometers, this novel method allows huge diameters without any need for infrastructures on the ground. Our experimental results shows good agreement with models and other goniometers, proving the approach valid. UAVs are capable of providing airborne data with a high spatial and temporal resolution due to their flexible and easy use. This was demonstrated in a two year survey. A high resolution RGB camera was flown every week over experimental plots of barley. From the RGB imagery a time series of the barley development was created using the color values. From this analysis we could track differences in the growth of multiple seeding densities and identify events of plant development such as ear pushing. These results lead towards promising practical applications that could be used in breeding for the phenotyping of crop varieties or in the scope of precision farming. With the advent of high endurance UAVs such as airships and the development of better light weight sensors, an exciting future for remote sensing from UAV in agriculture is expected

cGMP kinase I regulates glucagon release

© 2009 Leiss et al; licensee BioMed Central Ltd. Blood glucose levels are tightly controlled by the two peptide hormones glucagon and insulin. At hyperglycaemia, B-cells in the islets of Langerhans secrete insulin, whereas islet A-cells release glucagon at hypoglycaemia to stimulate e.g. glucose production in the liver. Previously, an important role for nitric oxide (NO) in the development of type-1 diabetes mellitus (insulin dependent diabetes mellitus) was reported [1]. The mechanisms are unknown whereby NO modulates islet (mal-)function. We hypothesized that NO signals via the cGMP/cGMP kinase I (cGKI) pathway to modulate the endocrine control of blood glucose levels. Glucose homeostasis was studied in the conventional cGKI knockouts (KOs) and in cGKI rescue mice (RM) [2] in comparison to age- and littermat

Utilisation de la photogrammétrie pour l’étude de la végétation riveraine

International audienceThis study presents the results of methodological tests in aerial photogrammetry with the objective of a diachronic survey of riparian vegetation in three dimensions, i.e. its spatial distribution and height. The study is undertaken at two complementary scales. The first one corresponds to a 10 km reach of the Allier river floodplain. At this scale, aerial photographs were taken from a small airplane. The second level of analysis corresponds to a wooded point bar located within the 10 km reach. At this scale, the photographs were taken from an unmanned aerial vehicle (UAV). Canopy height models (CHM) are produced at two scales of analysis. The accuracy of the CHMs is then analysed by comparison with vegetation height measurements collected during a filed campaign. The results show significant agreement for the models derived from two approaches, with an error of one meter at the floodplain scale and few centimetres at the bar scale. This variation in error is mainly due to different photographic resolutions. The two approaches appeared to be complementary. The first one is adequate for mapping vegetation structure at the floodplain scale, the second for mapping vegetation in smaller areas but at a higher resolution.Cette étude présente les résultats de tests méthodologiques réalisés en photogrammétrie aérienne avec pour objectif le suivi diachronique de la végétation riveraine dans ses trois dimensions, c’est-à-dire sa distribution spatiale et sa hauteur. L’étude est menée à deux échelles d’analyse. La première échelle est celle d’un tronçon longitudinal de 10 km de la plaine alluviale de la rivière Allier. À cette échelle de travail, un avion a été utilisé pour les prises de vue aérienne. La deuxième échelle d’analyse est celle d’un banc boisé, localisé dans la zone de 10 km. À cette échelle, la couverture photographique a été faite à l’aide d’un drone. Pour les deux objets d’étude des modèles de hauteur du couvert végétal (MHC) sont produits. La précision des MHC est ensuite vérifiée à partir de la mesure de la hauteur d’arbres sur le terrain. Les résultats révèlent une très bonne précision des modèles pour les deux approches, de l’ordre du mètre à l’échelle du tronçon de 10 km et de quelques centimètres à l’échelle du banc. Cette inégalité s’explique surtout par des résolutions photographiques différentes pour les deux missions. Il ressort de ce travail que les deux approches sont complémentaires. La première permet de cartographier la structure de la végétation à l’échelle de la plaine alluviale, la deuxième permet une cartographie de la végétation à plus haute résolution mais seulement à une échelle plus réduite

Sun-Induced Chlorophyll Fluorescence I: Instrumental Considerations for Proximal Spectroradiometers

Growing interest in the proximal sensing of sun‐induced chlorophyll fluorescence (SIF) has been boosted by space-based retrievals and up-coming missions such as the FLuorescence EXplorer (FLEX). The European COST Action ES1309 “Innovative optical tools for proximal sensing of ecophysiological processes” (OPTIMISE, ES1309; https://optimise.dcs.aber.ac.uk/) has produced three manuscripts addressing the main current challenges in this field. This article provides a framework to model the impact of different instrument noise and bias on the retrieval of SIF; and to assess uncertainty requirements for the calibration and characterization of state-of-the-art SIF-oriented spectroradiometers. We developed a sensor simulator capable of reproducing biases and noises usually found in field spectroradiometers. First the sensor simulator was calibrated and characterized using synthetic datasets of known uncertainties defined from laboratory measurements and literature. Secondly, we used the sensor simulator and the characterized sensor models to simulate the acquisition of atmospheric and vegetation radiances from a synthetic dataset. Each of the sensor models predicted biases with propagated uncertainties that modified the simulated measurements as a function of different factors. Finally, the impact of each sensor model on SIF retrieval was analyzed. Results show that SIF retrieval can be significantly affected in situations where reflectance factors are barely modified. SIF errors were found to correlate with drivers of instrumental-induced biases which are as also drivers of plant physiology. This jeopardizes not only the retrieval of SIF, but also the understanding of its relationship with vegetation function, the study of diel and seasonal cycles and the validation of remote sensing SIF products. Further work is needed to determine the optimal requirements in terms of sensor design, characterization and signal correction for SIF retrieval by proximal sensing. In addition, evaluation/validation methods to characterize and correct instrumental responses should be developed and used to test sensors performance in operational conditions

The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF)

A hyperspectral field sensor (FloX) was installed in Adventdalen (Svalbard, Norway) in 2019 as part of the Svalbard Integrated Arctic Earth Observing System (SIOS) for monitoring vegetation phenology and Sun-Induced Chlorophyll Fluorescence (SIF) of high-Arctic tundra. This northernmost hyperspectral sensor is located within the footprint of a tower for long-term eddy covariance flux measurements and is an integral part of an automatic environmental monitoring system on Svalbard (AsMovEn), which is also a part of SIOS. One of the measurements that this hyperspectral instrument can capture is SIF, which serves as a proxy of gross primary production (GPP) and carbon flux rates. This paper presents an overview of the data collection and processing, and the 4-year (2019–2021) datasets in processed format are available at: https://thredds.met.no/thredds/catalog/arcticdata/infranor/NINA-FLOX/raw/catalog.html associated with https://doi.org/10.21343/ZDM7-JD72 under a CC-BY-4.0 license. Results obtained from the first three years in operation showed interannual variation in SIF and other spectral vegetation indices including MERIS Terrestrial Chlorophyll Index (MTCI), EVI and NDVI. Synergistic uses of the measurements from this northernmost hyperspectral FLoX sensor, in conjunction with other monitoring systems, will advance our understanding of how tundra vegetation responds to changing climate and the resulting implications on carbon and energy balance. Chlorophyll fluorescenceSolar Induced Fluorescence (SIF)ReflectancePhotosynthetic functionMERIS terrestrial chlorophyll index (MTCI)High-Arctic tundrapublishedVersio

Sun-induced chlorophyll fluorescence II:Review of passive measurement setups, protocols, and their application at the leaf to canopy level

Satellite gravimetry allows for determining large scale mass transport in the system Earth and to quantify ice mass change in polar regions. We provide, evaluate and compare a long time-series of monthly gravity field solutions derived either by satellite laser ranging (SLR) to geodetic satellites, by GPS and K-band observations of the GRACE mission, or by GPS observations of the three Swarm satellites. While GRACE provides gravity signal at the highest spatial resolution, SLR sheds light on mass transport in polar regions at larger scales also in the pre- and post-GRACE era. To bridge the gap between GRACE and GRACE Follow-On, we also derive monthly gravity fields using Swarm data and perform a combination with SLR. To correctly take all correlations into account, this combination is performed on the normal equation level. Validating the Swarm/SLR combination against GRACE during the overlapping period January 2015 to June 2016, the best fit is achieved when down-weighting Swarm compared to the weights determined by variance component estimation. While between 2014 and 2017 SLR alone slightly overestimates mass loss in Greenland compared to GRACE, the combined gravity fields match significantly better in the overlapping time period and the RMS of the differences is reduced by almost 100 Gt. After 2017, both SLR and Swarm indicate moderate mass gain in Greenland

Diurnal and Seasonal Variations in Chlorophyll Fluorescence Associated with Photosynthesis at Leaf and Canopy Scales

There is a critical need for sensitive remote sensing approaches to monitor the parameters governing photosynthesis, at the temporal scales relevant to their natural dynamics. The photochemical reflectance index (PRI) and chlorophyll fluorescence (F) offer a strong potential for monitoring photosynthesis at local, regional, and global scales, however the relationships between photosynthesis and solar induced F (SIF) on diurnal and seasonal scales are not fully understood. This study examines how the fine spatial and temporal scale SIF observations relate to leaf level chlorophyll fluorescence metrics (i.e., PSII yield, YII and electron transport rate, ETR), canopy gross primary productivity (GPP), and PRI. The results contribute to enhancing the understanding of how SIF can be used to monitor canopy photosynthesis. This effort captured the seasonal and diurnal variation in GPP, reflectance, F, and SIF in the O2A (SIFA) and O2B (SIFB) atmospheric bands for corn (Zea mays L.) at a study site in Greenbelt, MD. Positive linear relationships of SIF to canopy GPP and to leaf ETR were documented, corroborating published reports. Our findings demonstrate that canopy SIF metrics are able to capture the dynamics in photosynthesis at both leaf and canopy levels, and show that the relationship between GPP and SIF metrics differs depending on the light conditions (i.e., above or below saturation level for photosynthesis). The sum of SIFA and SIFB (SIFA+B), as well as the SIFA+B yield, captured the dynamics in GPP and light use efficiency, suggesting the importance of including SIFB in monitoring photosynthetic function. Further efforts are required to determine if these findings will scale successfully to airborne and satellite levels, and to document the effects of data uncertainties on the scaling

Characterization of transport regimes and the polar dome during Arctic spring and summer using in situ aircraft measurements

Abstract. The springtime composition of the Arctic lower troposphere is to a large extent controlled by the transport of midlatitude air masses into the Arctic. In contrast, pre- cipitation and natural sources play the most important role during summer. Within the Arctic region sloping isentropes create a barrier to horizontal transport, known as the polar dome. The polar dome varies in space and time and exhibits a strong influence on the transport of air masses from mid- latitudes, enhancing transport during winter and inhibiting transport during summer. We analyzed aircraft-based trace gas measurements in the Arctic from two NETCARE airborne field campaigns (July 2014 and April 2015) with the Alfred Wegener Insti- tute Polar 6 aircraft, covering an area from Spitsbergen to Alaska (134 to 17◦ W and 68 to 83◦ N). Using these data we characterized the transport regimes of midlatitude air masses traveling to the high Arctic based on CO and CO2 mea- surements as well as kinematic 10 d back trajectories. We found that dynamical isolation of the high Arctic lower tro- posphere leads to gradients of chemical tracers reflecting dif- ferent local chemical lifetimes, sources, and sinks. In par- ticular, gradients of CO and CO2 allowed for a trace-gas- based definition of the polar dome boundary for the two mea- surement periods, which showed pronounced seasonal differences. Rather than a sharp boundary, we derived a transi- tion zone from both campaigns. In July 2014 the polar dome boundary was at 73.5◦ N latitude and 299–303.5 K potential temperature. During April 2015 the polar dome boundary was on average located at 66–68.5◦ N and 283.5–287.5 K. Tracer–tracer scatter plots confirm different air mass prop- erties inside and outside the polar dome in both spring and summer. Further, we explored the processes controlling the recent transport history of air masses within and outside the polar dome. Air masses within the springtime polar dome mainly experienced diabatic cooling while traveling over cold sur- faces. In contrast, air masses in the summertime polar dome were diabatically heated due to insolation. During both sea- sons air masses outside the polar dome slowly descended into the Arctic lower troposphere from above through ra- diative cooling. Ascent to the middle and upper troposphere mainly took place outside the Arctic, followed by a north- ward motion. Air masses inside and outside the polar dome were also distinguished by different chemical compositions of both trace gases and aerosol particles. We found that the fraction of amine-containing particles, originating from Arc- tic marine biogenic sources, is enhanced inside the polar dome. In contrast, concentrations of refractory black carbon are highest outside the polar dome, indicating remote pollu- tion sources. Synoptic-scale weather systems frequently disturb the transport barrier formed by the polar dome and foster ex- change between air masses from midlatitudes and polar re- gions. During the second phase of the NETCARE 2014 measurements a pronounced low-pressure system south of Resolute Bay brought inflow from southern latitudes, which pushed the polar dome northward and significantly affected trace gas mixing ratios in the measurement region. Mean CO mixing ratios increased from 77.9 ± 2.5 to 84.9 ± 4.7 ppbv between these two regimes. At the same time CO2 mix- ing ratios significantly decreased from 398.16 ± 1.01 to 393.81 ± 2.25 ppmv. Our results demonstrate the utility of applying a tracer-based diagnostic to determine the polar dome boundary for interpreting observations of atmospheric composition in the context of transport history

Empfehlungen für die Einführung von Datenmanagementplänen an Hochschulen zur FAIRen (Nach-)Nutzung von Forschungsdaten

Datenmanagementpläne (DMPs) dienen als Grundlage für ein verantwortungsvolles Forschungsdatenmanagement (FDM), da sie eine systematische Beschreibung enthalten, wie mit Forschungsdaten während der Projektlaufzeit umgegangen wird. Hierin werden Anforderungen benannt, damit Daten möglichst langfristig auffindbar, verständlich erschlossen und somit nutzbar für Dritte gemacht werden. FHs und HAWs stellt die Implementierung von FDM und die dazugehörigen DMPs vor große Herausforderungen, da sie bislang nur auf wenig etablierte Infrastrukturen, Standards und Best Practices aus den für sie charakteristischen praxisrelevanten Disziplinen und Kooperationen zurückgreifen können. Dies gilt gerade im Hinblick auf Transferprojekte und Forschungsvorhaben mit Partnern aus Industrie, Wirtschaft oder Verwaltung, die oftmals im Vergleich zu klassischen Forschungsprojekten spezifische und eigene Bedarfe (z. B. rechtliche, wettbewerbsspezifische, administrative sowie ökonomische) haben. Das Projekt SAN-DMP setzt genau an diesen Problemstellungen an und untersucht die Anforderungen unterschiedlicher Stakeholdergruppen hinsichtlich DMPs. Durch qualitative Methoden entstehen evidenzbasierte Umsetzungsszenarien und Handlungsempfehlungen für das FDM, die auf die substanziellen Bedürfnisse dieses Hochschultyps zugeschnitten sind. Hierzu wurden bisher publizierte DMPs, Templates und Policies analysiert und leitfadengestützte Gruppeninterviews mit neun Stakeholder-Gruppen (Wirtschaft, Medien, Kultur/Verwaltung, Forschungsprojekte, Lehrende, Studierende, Bibliothek, Rechenzentrum/IT, Forschungsservice) durchgeführt. Durch die breite Konstellation liegt ein großer Fächer an Erfahrungskontexten und Praxisbezügen vor, in der zugleich regionale sowie bundesweite Phänomene adressiert werden. Das verwendete Forschungsdesign ermöglicht: (1) Herausarbeitung der Bedarfe der verschiedenen Stakeholdergruppen an DMPs und Identifikation von Anforderungen, Möglichkeiten sowie Spezifika, (2) Identifikation von Kernelementen eines DMPs, die als Minimalkonsens über Branchen- und Spartengrenzen hinweg definiert werden können, (3) Evaluation von ergänzenden kontextualisierenden Strukturelementen eines DMPs aus Sicht spezifischer Stakeholdergruppen. Das Projekt adressiert den Wissensaustausch und schließt an aktuelle Diskussionen, wie etwa in der Nationalen Forschungsdateninfrastruktur, an. Auf dem Poster werden die Ergebnisse des Projekts präsentiert und zur Diskussion gestellt

Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art

Chlorophyll fluorescence (ChlF) information offers a deep insight into the plant physiological status by reason of the close relationship it has with the photosynthetic activity. The unmanned aerial systems (UAS)-based assessment of solar induced ChlF (SIF) using non-imaging spectrometers and radiance-based retrieval methods, has the potential to provide spatio-temporal photosynthetic performance information at field scale. The objective of this manuscript is to report the main advances in the development of UAS-based methods for SIF retrieval with non-imaging spectrometers through the latest scientific contributions, some of which are being developed within the frame of the Training on Remote Sensing for Ecosystem Modelling (TRuStEE) program. Investigations from the Universities of Edinburgh (School of Geosciences) and Tasmania (School of Technology, Environments and Design) are first presented, both sharing the principle of the spectroradiometer optical path bifurcation throughout, the so called ‘Piccolo-Doppio’ and ‘AirSIF’ systems, respectively. Furthermore, JB Hyperspectral Devices’ ongoing investigations towards the closest possible characterization of the atmospheric interference suffered by orbital platforms are outlined. The latest approach focuses on the observation of one single ground point across a multiple-kilometer atmosphere vertical column using the high altitude UAS named as AirFloX, mounted on a specifically designed and manufactured fixed wing platform: ‘FloXPlane’. We present technical details and preliminary results obtained from each instrument, a summary of their main characteristics, and finally the remaining challenges and open research questions are addressed. On the basis of the presented findings, the consensus is that SIF can be retrieved from low altitude spectroscopy. However, the UAS-based methods for SIF retrieval still present uncertainties associated with the current sensor characteristics and the spatio-temporal mismatching between aerial and ground measurements, which complicate robust validations. Complementary studies regarding the standardization of calibration methods and the characterization of spectroradiometers and data processing workflows are also required. Moreover, other open research questions such as those related to the implementation of atmospheric correction, bidirectional reflectance distribution function (BRDF) correction, and accurate surface elevation models remain to be addressed