Forests are pivotal in the global carbon cycle, acting as either carbon sinks or sources depending on various natural and anthropogenic factors. Understanding these dynamics, particularly in remote and hard-to-reach forests, is crucial for addressing climate change. The RemoTrees project, aims to bridge the gap between satellite Earth Observations (EO) and in-situ data to improve the accuracy and reliability of carbon flux assessments in these critical ecosystems. RemoTrees focuses on the development and deployment of advanced IoT multi-sensorial devices designed to monitor physiological and radiometric parameters of forests. These devices provide real-time, high-resolution data on variables such as under the canopy VIS-NIR data, soil moisture and sap flow with a particular focus on radiometric parameters which are vital for understanding forest health and carbon dynamics. By installing these sensors in remote forests, we can gather comprehensive ground-based data that is currently lacking, thus enabling more accurate validation and calibration of satellite-derived measurements. Our approach leverages EO data to model and predict the impacts of extreme climate events (e.g., storms, droughts, heatwaves, heavy precipitations) and human activities (e.g., logging, land use changes, soil protection practices) on the carbon cycle. By integrating IoT sensor data with satellite observations, RemoTrees enhances the capability to detect early signs of carbon losses or gains in biomass and soil, contributing to a more nuanced understanding of terrestrial carbon pools. The outcomes of RemoTrees will provide critical insights into the role of remote forests in the global carbon cycle and their response to environmental stressors. This will support the development of more effective conservation and management strategies, ultimately aiding in the global effort to mitigate climate change. Our presentation will showcase the technological innovations of the RemoTrees project, preliminary data from previous installations of TT-Cyber devices, which are the baseline for the RemoTrees devices, and the implications for future EO-based carbon cycle studies

Coppola, V.; Renzi, F.; Belelli Marchesini, L.; Gianelle, D.; Chiriacò, M.V.; Valentini, R. (2024). Innovative IoT sensor technology for enhanced ground-based validation of satellite data in remote forests. In: AGU24, Washington D.C. (USA), 9-13 December 2024. handle: https://hdl.handle.net/10449/88284

Innovative IoT sensor technology for enhanced ground-based validation of satellite data in remote forests

Belelli Marchesini, L.;Gianelle, D.;
2024-01-01

Abstract

Forests are pivotal in the global carbon cycle, acting as either carbon sinks or sources depending on various natural and anthropogenic factors. Understanding these dynamics, particularly in remote and hard-to-reach forests, is crucial for addressing climate change. The RemoTrees project, aims to bridge the gap between satellite Earth Observations (EO) and in-situ data to improve the accuracy and reliability of carbon flux assessments in these critical ecosystems. RemoTrees focuses on the development and deployment of advanced IoT multi-sensorial devices designed to monitor physiological and radiometric parameters of forests. These devices provide real-time, high-resolution data on variables such as under the canopy VIS-NIR data, soil moisture and sap flow with a particular focus on radiometric parameters which are vital for understanding forest health and carbon dynamics. By installing these sensors in remote forests, we can gather comprehensive ground-based data that is currently lacking, thus enabling more accurate validation and calibration of satellite-derived measurements. Our approach leverages EO data to model and predict the impacts of extreme climate events (e.g., storms, droughts, heatwaves, heavy precipitations) and human activities (e.g., logging, land use changes, soil protection practices) on the carbon cycle. By integrating IoT sensor data with satellite observations, RemoTrees enhances the capability to detect early signs of carbon losses or gains in biomass and soil, contributing to a more nuanced understanding of terrestrial carbon pools. The outcomes of RemoTrees will provide critical insights into the role of remote forests in the global carbon cycle and their response to environmental stressors. This will support the development of more effective conservation and management strategies, ultimately aiding in the global effort to mitigate climate change. Our presentation will showcase the technological innovations of the RemoTrees project, preliminary data from previous installations of TT-Cyber devices, which are the baseline for the RemoTrees devices, and the implications for future EO-based carbon cycle studies
2024
Coppola, V.; Renzi, F.; Belelli Marchesini, L.; Gianelle, D.; Chiriacò, M.V.; Valentini, R. (2024). Innovative IoT sensor technology for enhanced ground-based validation of satellite data in remote forests. In: AGU24, Washington D.C. (USA), 9-13 December 2024. handle: https://hdl.handle.net/10449/88284
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