Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized…

By Zaichun Zhu, J. Bi, Yaozhong Pan, Sangram Ganguly, A. Anav, Liang Xu, Arindam Samanta, Shilong Piao, R. Nemani, Ranga B. Myneni. Remote Sensing, 2013

902 citations recorded by the source corpus.

Long-term global data sets of vegetation Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) are critical to

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/78505fd8ce3719fe17e82b495e11b9a76f0ceb31

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Zhiqiang Xiao
2. Jindi Wang
3. Jinling Song
4. Shilong Piao
5. Ranga B. Myneni

In Global and Planetary Change

1. Shilong Piao
2. B. Poulter
3. Shunlin Liang
4. Ranga B. Myneni
5. Ying Ping Wang

Citations in the corpus

• Long-Time-Series Global Land Surface Satellite Leaf Area Index Product Derived From MODIS and AVHRR Surface Reflectance (2016, methodology): “networks trained with the best-quality MOD15 LAI product and GIMMS3g NDVI data [23].”
• The Australian Earth System Model: ACCESS-ESM1.5 (2020, methodology): “LAI: global gridded LAI (1/128 resolution) based on Moderate Resolution Imaging Spectroradiometer (MODIS) and Advanced Very High-Resolution Radiometer (AVHRR) data provided by Zhu et al. (2013).”
• Detection and attribution of vegetation greening trend in China over the last 30 years (2015, methodology): “The quality of this dataset has been assessed through a series of tests and the results indicate suitability of the data for research use (Zhu et al., 2013).”