Monitoring Forest Phenology and Leaf Area Index with the Autonomous, Low-Cost Transmittance Sensor PASTiS-57
Autor: | Nicolas Lauret, Jan G. P. W. Clevers, Jean-Philippe Gastellu-Etchegorry, Frédéric Baret, Martin Herold, Benjamin Brede, Jan Verbesselt |
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Přispěvatelé: | Wageningen University and Research Centre (WUR), Université Fédérale Toulouse Midi-Pyrénées, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ESA-ESRIN |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Land surface phenology
Canopy Land Surface Phenology Leaf Area Index ground-based forest validation radiative transfer model DART model 010504 meteorology & atmospheric sciences Science [SDV]Life Sciences [q-bio] 0211 other engineering and technologies Radiative transfer model 02 engineering and technology Ground-based 01 natural sciences Atmospheric radiative transfer codes Laboratory of Geo-information Science and Remote Sensing capteur optique hêtraie Validation Forest ecology Radiative transfer Laboratorium voor Geo-informatiekunde en Remote Sensing Forest Leaf area index 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing écosystème forestier indice de surface verte Phenology Vegetation 15. Life on land PE&RC phénologie indice de surface foliaire Temporal resolution modèle de transfert radiatif [SDE]Environmental Sciences General Earth and Planetary Sciences Environmental science capacité photosynthétique |
Zdroj: | Remote Sensing 7 (10), . (2018) Remote Sensing Remote Sensing, MDPI, 2018, 10 (7), ⟨10.3390/rs10071032⟩ BASE-Bielefeld Academic Search Engine Remote Sensing 10 (2018) 7 Remote Sensing; Volume 10; Issue 7; Pages: 1032 Remote Sensing, Vol 10, Iss 7, p 1032 (2018) Remote Sensing, 10(7) |
ISSN: | 2072-4292 |
DOI: | 10.3390/rs10071032⟩ |
Popis: | International audience; Land Surface Phenology (LSP) and Leaf Area Index (LAI) are important variables that describe the photosynthetically active phase and capacity of vegetation. Both are derived on the global scale from optical satellite sensors and require robust validation based on in situ sensors at high temporal resolution. This study assesses the PAI Autonomous System from Transmittance Sensors at 57 degrees (PASTiS-57) instrument as a low-cost transmittance sensor for simultaneous monitoring of LSP and LAI in forest ecosystems. In a field experiment, spring leaf flush and autumn senescence in a Dutch beech forest were observed with PASTiS-57 and illumination independent, multi-temporal Terrestrial Laser Scanning (TLS) measurements in five plots. Both time series agreed to less than a day in Start Of Season (SOS) and End Of Season (EOS). LAI magnitude was strongly correlated with a Pearson correlation coefficient of 0.98. PASTiS-57 summer and winter LAI were on average 0.41 m(2)m(-2) and 1.43 m(2)m(-2) lower than TLS. This can be explained by previously reported overestimation of TLS. Additionally, PASTiS-57 was implemented in the Discrete Anisotropic Radiative Transfer (DART) Radiative Transfer Model (RTM) model for sensitivity analysis. This confirmed the robustness of the retrieval with respect to non-structural canopy properties and illumination conditions. Generally, PASTiS-57 fulfilled the CEOS LPV requirement of 20% accuracy in LAI for a wide range of biochemical and illumination conditions for turbid medium canopies. However, canopy non-randomness in discrete tree models led to strong biases. Overall, PASTiS-57 demonstrated the potential of autonomous devices for monitoring of phenology and LAI at daily temporal resolution as required for validation of satellite products that can be derived from ESA Copernicus' optical missions, Sentinel-2 and -3. |
Databáze: | OpenAIRE |
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