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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Докторантска мрежа2016–2020

TRuStEE · Training on Remote Sensing for Ecosystem modElling

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2016-10-01 → 2020-09-30
Финансиране от ЕС
3 062 364 €
Участници
13
Схема
MSCA-ITN-ETN

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Дистанционното наблюдение чрез спътници и дронове изследва взаимодействието между атмосферата и екосистемите, като например как се променят свойствата на растенията. Това помага за по-доброто разбиране на екологичните промени и предвиждането на услугите, които природата предоставя на обществото.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Training on Remote Sensing for Ecosystem modElling

TRuStEE (Training on remote sensing for ecosystem modelling) is a pioneering innovative training network designed to provide multidisciplinary training for 12 Early Stage Researchers (ESRs) on the use of the still under-exploited potential of novel remote and proximal sensing techniques to face grand societal challenges as the increasing pressure of environmental change on ecosystem functioning and land-atmosphere interactions. The innovative aspects of the TRuStEE network are hereafter summarized: i) to shape a new generation of scientists with combined, complementary and interdisciplinary skills in ecosystem modelling, plant physiology, remote sensing technologies and big data analysis; ii) to train young scientists to exploit the recent technological development in the field of proximal and remote sensing (e.g. drones, fluorescence sensors) and Earth Observation data from new satellite missions (e.g. ESA-FLEX, NASA-GEDI) for the description of the ecosystem functioning and the prediction of ecosystem services; iii) to improve the understanding and modelling of biosphere-atmosphere interactions and ecosystem services allowing the exploration of inter-linkages, synergies and feedbacks between ecosystem functional properties and plant traits measurable from remote observation. To address these challenging aims, the TRuStEE network is composed by 9 beneficiaries and 8 partner organisations well known internationally for their interdisciplinary and innovative research and activities. The academic partnership is complemented by the non-academic sector involving companies operating in the project topic. The integration of the interdisciplinary expertise of different consortium members creates a number of synergies within the network that benefits the young scientist’s training.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Understanding and predicting ecosystem functions remains a major challenge in evaluating ecosystem services and biophysical controls on biosphere-atmosphere interactions, as current dynamic vegetation models are still not capable of grasping the spatial and temporal variability in ecosystem processes. Remote sensing (RS) data at a range of scales from proximal observations to global extent sampling can detect essential changes in plant traits (PTs), biodiversity and ecosystem functioning, providing a method for scaling-up. However there are still methodological and technical constraints that hamper a systematic incorporation of RS in ecosystem models, including scalability and multi-source data integration issues. TRuStEE will train a new generation of scientists with complementary and interdisciplinary skills in ecosystem modelling, plant physiology, RS technologies and big data analysis, addressing the specific objectives: 1) to identify essential biodiversity variables (EBVs) and the link with PTs and ecosystem functional properties (EFPs), inferable from RS, 2) to investigate a completely new avenue for assessing vegetation photosynthetic efficiency from RS measurements of canopy fluorescence, 3) to assimilate diverse RS data streams with varying spatial and temporal resolution in dynamic ecosystem models and 4) to exploit new satellite missions (e.g. ESA-FLEX, ESA-Sentinels, NASA-GEDI) and EO products for the upscaling of PTs, EBVs and EFPs. The early stage researchers (ESRs) involved will strongly benefit from the network of internationally recognized scientists and private companies with relevant expertise in these topics. The cooperation program proposed will link academic and non-academic participants to allow the circulation of ESRs giving them the opportunity to become new research and innovation leaders in the most cutting edge sophisticated technologies in the field, increasing their employability in both academic and private sectors.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз