Articles | Volume 13, issue 3
https://doi.org/10.5194/bg-13-625-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-625-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Global assessment of Vegetation Index and Phenology Lab (VIP) and Global Inventory Modeling and Mapping Studies (GIMMS) version 3 products
M. Marshall
CORRESPONDING AUTHOR
Climate Research Unit, World Agroforestry Centre, United Nations Ave,
Gigiri, P.O. Box 30677, Nairobi, 00100, Kenya
E. Okuto
Climate Research Unit, World Agroforestry Centre, United Nations Ave,
Gigiri, P.O. Box 30677, Nairobi, 00100, Kenya
Y. Kang
Center for Sustainability and the Global Environment, University of
Wisconsin-Madison, 1710 University Ave, Madison, WI 53726, USA
E. Opiyo
Climate Research Unit, World Agroforestry Centre, United Nations Ave,
Gigiri, P.O. Box 30677, Nairobi, 00100, Kenya
M. Ahmed
Climate Research Unit, World Agroforestry Centre, United Nations Ave,
Gigiri, P.O. Box 30677, Nairobi, 00100, Kenya
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29 citations as recorded by crossref.
- A multi-sensor and multi-temporal remote sensing approach to detect land cover change dynamics in heterogeneous urban landscapes N. Kabisch et al. 10.1016/j.ecolind.2018.12.033
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- Diverse responses of vegetation growth to meteorological drought across climate zones and land biomes in northern China from 1981 to 2014 H. Xu et al. 10.1016/j.agrformet.2018.06.027
- Globally Consistent Patterns of Asynchrony in Vegetation Phenology Derived From Optical, Microwave, and Fluorescence Satellite Data X. Wang et al. 10.1029/2020JG005732
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- Detecting early warning signals of tree mortality in boreal North America using multiscale satellite data B. Rogers et al. 10.1111/gcb.14107
- Greenness Index from Phenocams Performs Well in Linking Climatic Factors and Monitoring Grass Phenology in a Temperate Prairie Ecosystem Z. Yuke 10.5814/j.issn.1674-764x.2019.05.003
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- Analysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data Y. Bai 10.1016/j.ecolind.2021.108029
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- Detection of rubber tree orchards infested by Meloidogyne exigua using vegetation indexes obtained from satellite images E. Lemes et al. 10.1007/s11056-019-09760-7
- Grassland Phenology Response to Drought in the Canadian Prairies T. Cui et al. 10.3390/rs9121258
- The impact of dataset selection on land degradation assessment A. Burrell et al. 10.1016/j.isprsjprs.2018.08.017
- Satellites reveal contrasting responses of regional climate to the widespread greening of Earth G. Forzieri et al. 10.1126/science.aal1727
- Improved Understanding of Flash Drought from a Comparative Analysis of Drought with Different Intensification Rates J. Han et al. 10.3390/rs15082049
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- Detecting the long-term spatiotemporal crop phenology changes in a highly fragmented agricultural landscape B. Sisheber et al. 10.1016/j.agrformet.2023.109601
- Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening? Y. Zhang et al. 10.1016/j.rse.2016.12.018
- Increased carbon assimilation and efficient water usage may not compensate for carbon loss in European forests B. Montibeller et al. 10.1038/s43247-022-00535-1
- Vegetation controls on surface energy partitioning and water budget over China X. Lan et al. 10.1016/j.jhydrol.2020.125646
- Increasing global vegetation browning hidden in overall vegetation greening: Insights from time-varying trends N. Pan et al. 10.1016/j.rse.2018.05.018
- Evaluation of the Quality of NDVI3g Dataset against Collection 6 MODIS NDVI in Central Europe between 2000 and 2013 A. Kern et al. 10.3390/rs8110955
- Evaluation of consistency among three NDVI products applied to High Mountain Asia in 2000–2015 Y. Liu et al. 10.1016/j.rse.2021.112821
2 citations as recorded by crossref.
- Climate-Related Changes in the Vegetation Cover of the Taiga and Tundra of West Siberia over the Period of 1982–2015 Based on Satellite Data V. Zuev et al. 10.1134/S0001433820090297
- The Response of Vegetation Cover in the West Siberian Plain to Climate Changes in 1982–2015 E. Korotkova & V. Zuev 10.1134/S0001433821120148
Saved (preprint)
Latest update: 16 Aug 2024
Short summary
We compared two new Earth observation based long-term global vegetation index products used in global change research (Global Inventory Modeling and Mapping Studies and Vegetation Index and Phenology Lab- VIP version 3). The two products showed a high level of consistency throughout the primary growing season and were less consistent during green-up and brown-down that impacted trends in phenology. VIP was generally higher and more variable leading to poorer correlations with in situ data
We compared two new Earth observation based long-term global vegetation index products used in...
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