Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022
Shenzhen University · Peking University · +6 more institutions
Abstract
Abstract. Global products of remote sensing Normalized Difference Vegetation Index (NDVI) are critical to assessing the vegetation dynamic and its impacts and feedbacks on climate change from local to global scales. The previous versions of the Global Inventory Modeling and Mapping Studies (GIMMS) NDVI product derived from the Advanced Very High Resolution Radiometer (AVHRR) provide global biweekly NDVI data starting from the 1980s, being a reliable long-term NDVI time series that has been widely applied in Earth and environmental sciences. However, the GIMMS NDVI products have several limitations (e.g., orbital drift and sensor degradation) and cannot provide continuous data for the future. In this study, we…
Citation impact
- FWCI
- 52.96
- Percentile
- 100%
- References
- 68
Authors
6- MLMuyi LiCorresponding
Shenzhen University, Peking University, Ministry of Education, Urban Planning & Design Institute of Shenzhen (China), Peking University Shenzhen Hospital
- SCSen Cao
Shenzhen University, Peking University, Ministry of Education, Urban Planning & Design Institute of Shenzhen (China), Peking University Shenzhen Hospital
- ZZZaichun Zhu
Shenzhen University, Peking University, Ministry of Education, Urban Planning & Design Institute of Shenzhen (China), Peking University Shenzhen Hospital
- ZWZhe Wang
Shenzhen University, Peking University, Ministry of Education, Urban Planning & Design Institute of Shenzhen (China), Peking University Shenzhen Hospital
- RBRanga B. Myneni
Boston University, University of Massachusetts Boston
Topics & keywords
- Normalized Difference Vegetation Index
- Environmental science
- Advanced very-high-resolution radiometer
- Moderate-resolution imaging spectroradiometer
- Climatology
- Growing season
- Remote sensing
- Vegetation (pathology)