Assessing variations in phenology and photosynthetic capacity in Japanese cypress forests using tower-based remote sensing methods
收藏DataCite Commons2025-02-26 更新2025-04-15 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/LEG4RR
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资源简介：
Here, we present the dataset associated with the article “Assessing variations in phenology and photosynthetic capacity in Japanese cypress forests using tower-based remote sensing methods” submitted to “GIScience & Remote Sensing” by the same authors. The data are the environmental factor (photosynthetically active radiation and air temperatures), canopy-scale light-use efficiency and net ecosystem exchange, and vegetation indices (NDVI, CCI, PRI, tri-PRI, and RI) recorded in Kiryu Experimental Watershed (KEW, Asiaflux registered site) from June 2017 to May 2018.
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Harvard Dataverse
创建时间：
2025-02-26
