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2 results for “Fraction of Photosynthetically Active Radiation (FPAR)”

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zenodo36/100

Daily fraction of photosynthetically active radiation (fPAR), edaphic, and weather conditions from 20220410 to 20230409 in Kulen, Cambodia

<ol><li><strong>Sub-title 1:</strong> Daily mean and standard deviation of Soil water content, soil temperature, soil saturation extracted electrical conductivity of evergreen forests, regrowth forests, and cashew plantations in Kulen, Cambodia. (<strong>File name:</strong> <i>Edaphic_fPAR_Pub.txt</i>)</li><li><strong>Sub-title 2:</strong> Daily weather condition data from 20220410 to 20230409 in Kulen, Cambodia. (<strong>File name:</strong> <i>Weather_Pub.txt</i>)</li><li><strong>Sub-title 3:</strong> Photosynthetically active radiation (<i>PAR</i>) data from 20220410 to 20230409 in Kulen weather station, Cambodia. (<strong>File name:</strong> <i>PARa_Pub.txt</i>)</li></ol>

opencc-by-4.0Apr 2024View details →
zenodo36/100

A High-Quality Reprocessed MODIS Fraction of absorbed Photosynthetically Active Radiation Dataset (HiQ-FPAR)(Version 1)

<p>The High-Quality Fraction of absorbed Photosynthetically Active Radiation (HiQ-FPAR) is derived from reprocessed MODIS FPAR C6.1 product by SpatioTemporal Information Compositing Algorithm (STICA). This method integrates information from multiple dimensions, including pixel quality information, spatiotemporal correlation, and original observations, to improve the raw MODIS FPAR retrievals with poor quality. The HiQ-FPAR covers the period from 2000 to 2022, with spatial resolutions of 500m/5km for global vegetation area and temporal resolutions of 8 days.</p> <p>Ground-based verification results show that HiQ-FPAR performs better than the original MODIS product (MOD15A2H C6.1). Time series curves of the HiQ-FPAR exhibit reduced abnormal fluctuations and better alignment with expected phenological patterns. Additionally, the agreement with ground measurements increases gradually as raw data quality decreases. HiQ-FPAR was found to be more continuous and consistent than MODIS FPAR on a global scale from both spatial and temporal perspectives, especially in the equatorial regions where optical remote sensing usually cannot achieve good performance. Thus, We anticipate that HiQ-FAPR with better spatio-temporal continuity will better support varying global FPAR time series applications.</p> <p>Here, we offer a product version with a spatial resolution of 5km and a temporal resolution of 8 days. Another version has a spatial resolution of 500 meters and is available through Google Earth Engine (https://code.earthengine.google.com/?asset=projects/verselab-398313/assets/HiQ_FPAR/wgs_500m_8d).</p> <p>More details about HiQ-Fpar can be found at https://github.com/Gardenias-123/HiQ-FPAR</p>

opencc-by-4.0Mar 2024View details →

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