Data for: Correction of PRI for carotenoid pigment pools improves photosynthesis estimation across different irradiance and temperature conditions

Mendeley Data2020-04-28 更新2026-04-09 收录

光合作用监测

植被生理生态模型

数据链接：

https://data.mendeley.com/datasets/xgcf2pkb23 数据链接链接失效反馈

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资源简介：

PRI, environmental, pigments and photosynthesis data

创建时间：

2020-04-28

TanSat卫星日光诱导叶绿素荧光遥感产品

光合作用监测

全球碳循环

中国科学院空天信息创新研究院刘良云研究员领导的研究团队攻克了植被日光诱导叶绿素荧光(SIF)卫星反演关键技术，并成功应用于我国首颗二氧化碳观测科学实验卫星(TanSat)，首次成功获取了国产卫星观测的下的时序全球陆地生态系统日光诱导叶绿素荧光遥感科学产品数据集，包含了2017年3月至2019年8月的日值产品。该数据集包含有效的SIF反演信息(包含758nm和771nm的SIF)以及对应日光诱导叶绿

地球大数据科学工程2019-09-29 更新80

Two Excel spreadsheets including eddy covariance and sun-induced chlorophyll fluorescence (SIF) data measured at Yunxiao mangrove flux tower.

生态系统通量

光合作用监测

Two Excel spreadsheets including eddy covariance and sun-induced chlorophyll fluorescence (SIF) data measured at Yunxiao mangrove flux tower: (1) data1_30min.xlsx includes all 30-min data within 297 d

NIAID Data Ecosystem50

MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 500m SIN Grid in 2018

光合作用监测

生物量遥感反演

The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Ne

NIAID Data Ecosystem30

TROPOMI SIF high resolution data at 0.005° for CONUS as estimated by the convolutional neural network SIFnet

光合作用监测

遥感数据降尺度

We develop a Convolutional Neural Network, named SIFnet, that increases the spatial resolution of SIF from the TROPOMI by a factor of 10 to a spatial resolution of 0.005°. SIFnet utilizes coarse SIF o

NIAID Data Ecosystem70

Global degradation corrected 0.05 degree GOME-2 SIF datasets (derived from PK datasets)

光合作用监测

卫星仪器退化校正

8-day instrument degradation corrected 0.05 degree GOME-2 SIF datasets on a global scale from 2010 to 2018. PK dataset from the spatially downscaled sun-induced fluorescence global product proposed by

NIAID Data Ecosystem40

Data for: Correction of PRI for carotenoid pigment pools improves photosynthesis estimation across different irradiance and temperature conditions

资源简介：

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