Conference Agenda

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Session Overview
Session
K22: Best Practice Papers: Earth Observation for a sustainable environment
Time:
Thursday, 08/July/2021:
10:00am - 11:00am

Session Chair: Milan Konecny
Location: K - Online Sessions

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Presentations

Mapping nitrogen from satellite data to improve soil quality - a worked example

Filippo Iodice1, Federica D'Acunto1, Lorenzo Bigagli2

1Uptoearth GmbH, Germany; 2CNR-IIA, Italy

Soils are complex ecosystems. They play a key role in providing sustainable life on Earth, meeting the needs of humans and regulating several environmental processes. The United Nation’s 2030 Agenda for Sustainable Development and the related 17 Goals include a commitment to the preservation of soil quality. However, the adopted indicators lack the measurement of a key nutrient: nitrogen. The aim of this paper is to call for the integration of two nitrogen indexes to measure soil quality and to present a worked example of geospatial technologies applied to nitrogen monitoring, aiding in farmland management and decision-making. Due to their inherent time/location precision, remote sensing data can provide insight in predicting the impact of agricultural practices and optimise their application.



Dynamic workflow engine of atmospheric big remote sensing data processing powered by heterogeneous platform for high peformance computing

Sheng Zhang, Yong Xue, Xiran Zhou

CUMT, China, People's Republic of

The development of big remote sensing data related technologies and applications poses a big challenge that massive computing capability is needed to support big data processing. In order to solve this challenge, this paper proposes an architecture of heterogeneous platform of high performance computing, which employs the computer hardware resources to improve the efficiency of big remote sensing data processing by optimizing scheduling strategies and designing high-performance algorithms. Furthermore, the proposed platform can dynamically incorporated with a workflow engine regarding big remote sensing data processing. These algorithms are modular to meet the flexible combination of different processes.



Energy from biomass: assessing sustainability by geoinformation technology

Manuela Hirschmugl1,2, Carina Sobe2, Lorenzo Traverso3, David Cifuentes4, Alfonso Calera4, Cosette Khawaja5, Marco Colangeli6

1University of Graz, Austria; 2Joanneum Research, DIGITAL, Graz, Austria; 3University of Tuscia, IT; 4University of Castilla-La Mancha, ES; 5WIP Renewable Energies, DE; 6IDEA 2020 S.r.l., IT

Target 7.2 of the SDGs requests a substantial increase in the share of renewable energy in the global energy mix by 2030. At the same time, energy demand is growing in virtually all industrialized and specifically in emerging economies worldwide. Renewable energy production in all sectors have to be evaluated for their contribution in order to be able to reach target 7.2. Biomass for the energy sector has gained a bad reputation over the past years due to the “food versus fuel” debate or reported unsustainable practices. The -BIOPLAT-EU project is focusing on the sustainability assessment of bioenergy value chains by employing geoinformation technologies bundled with sustainablilty and economic expertise. There are three main parts in BIOPLAT-EU: first is the generation of a pan-European map of marginal, underutilized and contaminated (MUC) lands potentially usable for bioenergy production. This is realized employing remote sensing time series, existing Copernicus and other spatial data sets. Second is the generation of a webGIS system connecting the MUC lands with other important information sources necessary to assess sustainability. Third, the sustainability assessment itself includes not only typical sustainability indicators like soil, water, biodiversity, but also economic sustainability indicators like employment or GDP.



Methodology for implementing a digital twin of the Earth’s forests to match the requirements of different user groups

Matti Mõttus1, Matthias Dees2, Heikki Astola1, Eelis Halme1, Tuomas Hame1, Monika Krzyżanowska3, Annikki Mäkelä4, Gheorghe Marin5, Francesco Minunno4, Gero Pawlowski2, Juho Penttilä6, Jussi Rasinmäki6, Stanisław Dałek3

1VTT Technical Research Centre of Finland, Finland; 2Unique GmbH; 3Cloudferro Sp z o.o.; 4University of Helsinki; 5Institutul Național de Cercetare-Dezvoltare în Silvicultură Marin Drăcea (INCDS); 6Simosol Oy

Europe has acknowledged the need to develop a very high precision digital model of the Earth, a Digital Twin Earth, running on cloud infrastructure to bring data and end-users closer together. We present results of an investigation of a proposed submodel of the digital twin, simulating the worlds’ forests. We focus on the architecture of the system and the key user needs on data content and access. The results are based on a user survey showing that the forest-related communities in Europe require information on contrasting forest variables and processes, with common interest in the status and forecast of forest carbon stock. We discuss the required spatial resolution, accuracies, and modelling tools required to match the needs of the different communities in data availability and simulation of the forest ecosystem. This, together with the knowledge on existing and projected future capabilities, allows us to specify a data architecture to implement the proposed system regionally, with the outlook to expand to continental and global scales. Ultimately, a system simulating the behaviour of forests, a digital twin, would connect the bottom-up and top-down approaches of computing the forest carbon balance: from tree-based accounting of forest growth to atmospheric measurements, respectively.



Helping forest owners to manage forest carbon - the Forest Flux project

Tuomas Häme1, Laura Sirro1, Matthias Dees2, Annikki Mäkelä3, Juho Penttilä4, Gheorghe Marin5, Margarida Tomé6

1VTT, Finland; 2UNIQUE forestry and land use GmbH; 3University of Helsinki; 4Simosol Oy; 5National Institute for Research and Development in Forestry Marin Dracea (I.N.C.D.S.); 6Instituto Superior de Agronomia (ISA), University of Lisbon

Forest Flux https://www.forestflux.eu/ will renew forestry value added services in Earth Observation (EO) by creating and piloting cloud-based services for committed users on forest carbon assimilation and structural variable prediction. Forest Flux exploits the explosive increase of high-resolution EO data from the Copernicus program and developments of cloud computing technology. It implements world-first service platform for high-resolution maps of traditional forestry variables together with forest carbon fluxes. Forest Flux will allow the users to improve the profitability of forest management while taking care of the ecological sustainability. The Forest Flux services are implemented on the Forestry Thematic Exploitation cloud platform https://f-tep.com/ . In 2020, nearly 700 thematic maps on forest stand and carbon flux variables were delivered to nine specific users in a form that was applicable in their operational forest management systems. The last project year 2021 focuses on map product refinement and improving user services to eventually lead to operational service concepts. Forest Flux is an Innovation Action project of the European Union, Grant Agreement No 821860.



 
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