WG3: Realizing synergy between passive EO spectral domains

Plants respond to changing environmental conditions with various biochemical reactions that influence the passive remote sensing signal in different domains. However, most studies in satellite EO of vegetation make use of only one single sensor. Multi-sensor or synergistic sensor use will provide a deeper insight into the relations between spectral features and associated plant conditions. This Working Group aims to help realize synergies between passive optical EO domains. As multi-sensor approaches are typically affected by associated differences in spatial and temporal characteristics and vice versa, the achievements in the closing of the scaling gap (WG1) and temporal gap (WG2) will be of fundamental importance to WG3.

The first meeting of WG-3 is on FEB 05 2019 in Brno.

One important outcome of the first meeting was a literature review from Marlena and a database collection from Corine, which we would like to further complete. Thus, we would like to invite you to add further relevant information to the documents.

Literature review: https://docs.google.com/spreadsheets/d/1caU9U0pqZ3RwNe1HvEtrGeBUA4sVWn5qHFQSV7kTvYs/edit#gid=0

Sensor synergies database: docs.google.com/document/d/1ew7KOvhd8dW1L2zsXiY-AMNL8e90i2EEwbPZUxP916M/edit


Objective 3.1 To provide homogenized protocols and methods for synergistic use of multi-sensor approaches.

Objective 3.2 Using improved RTMs (Objective 1.3), to translate integrated multi-sensor and acrossspectral domain approaches into enhanced RS-based capacities for monitoring vegetation responses to environmental changes (Objective 4.4).

Objective 3.3 To provide guidelines on how multiple sensors can best be used for assessing crop water and nutrient requirements in order to help agricultural managers and other stakeholders (e.g. deficit irrigation, nitrogen fertilization) and to increase the socio-economic impact of EO data.

Task 3.1 Workshop (end of year 1). Aim: To discuss achievements and problems and best practice solutions in the characterization of plant condition and stress from multi-sensor use in agriculture. The Workshop will be divided into two parts. The first part will bring together different stakeholders like farmers, environmental and agricultural governmental representatives, instrument manufacturers and insurance companies to analyse the needs and problems of all parties. The second part will be attended by researchers only to consider and implement the outcomes of part 1. Output: protocols.

Task 3.2 Workshop (year 2). Aim: Discuss challenges and suggest solutions for multi-sensor synergy for vegetation attribute retrieval through inverse methods (jointly with WG-1). Output: guidelines.

Task 3.3 Training school (year 3) on synergistic optical data use; modellers and experimental scientists in the field will use measured and simulated sensor data to progress towards a more holistic multi-scale approach.

Deliverable 3.1 Best practice protocols for the detection and characterization of different stresses at different phenological stages.

Deliverable 3.2 Guidelines for vegetation attribute retrieval through RTM inversion schemes. These objectives will be supported by existing ground and airborne dataset of hyperspectral data that have been collected in the VNIR (e.g., HyPlant), TIR (e.g., Hyper-Cam LW) within dedicated campaigns (e.g. FLEX campaigns or multi-sensor airborne platform operated for instance by CzechGlobe, Hanuš et al. 2016) at different sites in Europe.

Leading Team WG-3

 Dr Miriam Machwitz (leader), LIST, Luxembourg, miriam.machwitz@list.lu

Miriam has a background in environmental sciences and obtained her PhD in Remote Sensing. She is working as a Research Associate at the Luxembourg Institute of Science and Technology (LIST) focusing on vegetation modelling. Her expertise comprises crop growth modelling and data-model-integration for agricultural applications with a special focus on hyperspectral UAV data analysis.

  Prof Uwe Rascher (vice-leader), FZ Jülich, Germany, u.rascher@fz-juelich.de

Uwe Rascher is the Head of Research in Ecosystem Dynamics at the Institute of Bio- and Geosciences at Forschungszentrum Jülich, Germany, and a professor of Quantitative Physiology of Crops at the University of Bonn. Prof. Rascher develops and uses ground based, aircraft-borne and satellite data to quantify plant traits such as photosynthesis. He is involved in the Mission Advisory Group of ESA for the future FLEX mission and has developed and uses the high performance airborne imaging spectrometer HyPlant. His main expertise is in using solar-induced fluorescence measurements to better understand plant-mediated exchange processes and to develop approaches for early stress detection and field phenotyping.

Areas of expertise: Canopy architecture, chlorophyll fluorescence, climate change, ecosystem dynamics, imaging techniques, plant phenotyping, photosynthetic efficiency, remote sensing of sun-induced fluorescence

  Dr Marlena Kycko (vice-leader), University of Warshaw, Poland, marlenakycko@uw.edu.pl

Marlena Kycko works as Research Scientist (Adiunct) at the Department of Geoinformatics, Cartography and Remote Sensing (UW). Her research are focused on applications of hyperspectral remote sensing and fluorescence in vegetation studies, especially variability of plants parameters caused by various types of damage in high-mountain areas and agricultural areas.

Dr Kyriacos Temistocleous (vice-leader), Cyprus University of Technology, Cyprus, k.themistocleous@cut.ac.cy

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