Potential of Automated Digital Hemispherical Photography and Wireless Quantum Sensors for Routine Canopy Monitoring and Satellite Product Validation
| Autor: | Erika Albero, Ernesto Lopez-Baeza, Christophe Lerebourg, Jadunandan Dash, Marco Clerici, Harry Morris, Alexander Knohl, Luke A. Brown, Carolina da Silva Gomes, Gabriele Bai, Darius S. Culvenor, Frank Tiedemann, Lukas Siebicke, Christian Lanconelli, Nadine Gobron |
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| Rok vydání: | 2021 |
| Předmět: |
010504 meteorology & atmospheric sciences
Mean squared error Hemispherical photography Photography Quantum sensor 0211 other engineering and technologies 02 engineering and technology Vegetation 01 natural sciences Photosynthetically active radiation Environmental science Satellite Wireless sensor network 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IGARSS |
| Popis: | To better characterize the temporal dynamics of vegetation biophysical variables, a variety of automated in situ measurement techniques have been developed in recent years. In this study, we investigated automated digital hemispherical photography (DHP) and wireless quantum sensors, which were installed at two sites under the Copernicus Ground Based Observations for Validation (GBOV) project. Daily estimates of plant area index (PAI) and the fraction of absorbed photosynthetically active radiation (FAPAR) were obtained, which realistically described expected vegetation dynamics. Good correspondence with manual DHP and LAI-2000 data (RMSE = 0.39 to 0.90 for PAI, RMSE = 0.07 for FAPAR) provided confidence that the investigated approaches can deliver data of comparable quality to traditional in situ measurement techniques. |
| Databáze: | OpenAIRE |
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