Special Issue "Monitoring Global Vegetation with AVHRR NDVI3g Data (1981-2011)"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 June 2013)
Prof. Ranga B. Myneni
Department of Geography & Environment, Boston University, Boston, MA 20115, USA
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Interests: remote sensing of vegetation; satellite data analysis; radiative transfer in vegetative media; algorithms for biophysical variables from satellite data; climate/vegetation interactions; terrestrial carbon cycle
Dr. Jorge E. Pinzón
SSAI, Mail Code 618, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Fax: +301 614 6695
Interests: feature extraction from large geophysical spatial, temporal, multi- and hyper-spectral data; uncertainty quantification, quality assurance, and calibration of geophysical observations; image analysis, image compression, image classification, Bayesian analysis; remote sensing applications for monitoring eco-climatic conditions associated with emerging infectious diseases and for assessing and monitoring land degradation
Vegetation indices are radiometric measures of photosynthetically active radiation absorbed by chlorophyll in the green leaves of vegetation canopies and are therefore good surrogate measures of the physiologically functioning surface greenness level of a region. In a series of articles during the early 1980s, Compton J. Tucker, demonstrated how the Normalized Difference Vegetation Index (NDVI) generated from NOAA’s Advanced Very High Resolution Radiometer (AVHRR) data can be used to map land cover and monitor vegetation changes and desertification at continental and global scales. These papers opened a whole new avenue of investigations regarding monitoring vegetation changes at a host of spatial resolutions and time scales. A simple search on the Web of Science reveals over 5000 articles containing NDVI either in the title or in the abstract. Compton J. Tucker continued to generate the NDVI time series over the past 30 years, in the framework of the Global Inventory Monitoring and Modeling System (GIMMS) project, carefully assembling it from different AVHRR sensors and accounting for various deleterious effects, such as calibration loss, orbital drift, volcanic eruptions, etc. The latest version of the GIMMS NDVI data set spans the period July 1981 to December 2011 and is termed NDVI3g (third generation GIMMS NDVI from AVHRR sensors). The goal of this special issue is to understand variability, long-term trends and changes in vegetation on our planet at a host of spatial scales over the past 30 years using this new, improved data set. Although the NDVI3g data set has not yet been released, scientists interested in contributing to this special issue are encouraged to contact the guest editors with a tentative title and two-line abstract to obtain access to the data set. The following is a tentative list of papers to appear in this special issue.
Prof. Ranga B. Myneni
Dr. Jorge E. Pinzón
Manuscript Submission Information
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- remote sensing
- vegetation trends
- climate change
- arctic vegetation
- sahelian vegetation
- land degradation
- carbon cycle
- dynamics vegetation models
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
2 Anyamba et al. 30 years of growing season NDVI patterns and trends over the Sahel
3 Alessandri et al.
4 Atzberger Phenological metrics derived over the European continent from NDVI3g data and MODIS time series
5 Barichivich et al. Drought and growing season photosynthetic activity in northern terrestrial ecosystems
6 Beck et al. Interpretation of cross-sensor remotely sensed boreal vegetation productivity pattens
7 Bhatt et al. Pan-Arctic tundra vegetation change and variability
8 Bi et al. Divergence in trends of vegetation greenness between North America and Eurasia
9 Brown et al. Relating observed trends in nutritional status from 1985-2011 using demographic and health survey data to variations in environmental conditions as measured by the GIMMS NDVI3g dataset
10 Ciais et al. Comparison of phenology and soil moisture simulated by a process based model with 30 years of microwave and visible remote sensing observations over Africa
11 Cook et al. Long–term greening and browning trends in global pasture lands (RS-29129; Jan-09-2013)
12 Cécile Dardel et al. 28 years of rangeland monitoring in Sahel from the sky and on the ground (Gourma, Mali)
13 Dong et al. Climatic warming affecting cropping system and pattern in Northern Temperate regions
14 Dye et al. Seasonality and trends in snow-cover, vegetation index, and temperature in northern Eurasia: 1982 to 2011.
15 Eastman et al. Global trends in seasonality of NDVI, 1982-2011
16 Erasmi et al. Vegetation greenness and dynamics over Northeast Brazil and its relation to ENSO
17 Fensholt et al. Assessment of land degradation/recovery in the African Sahel from long-term Earth Observation based vegetation and precipitation trends: EO-based land degradation assessment in Sahel (RS-27454)
18 Forkel et al. Inter-annual variability controls the reliability of greening and browning trend change estimates in NDVI time series.
18 Guerschman et al. Assimilating observations of FPAR in a hydrological model for Australia
19 Hashimoto et al. Structural uncertainty in model-simulated trends of global Gross Primary Production (RS-27795; Dec-12-2012)
20 Høgda et al Vegetation dynamics in northern Fennoscandia with focus on the start of growing season
21 Ichii et al. Evaluation of temporal variations in modeled terrestrial carbon cycle in Asia using long-term record of satellite based vegetation indices.
22 Ivits et al. Characterization of phenological change varieties of global ecosystems
23 de Jong et al. Shifts in global vegetation-activity trends
24 Van Leeuwen et al. Trends and ENSO/AAO driven variability in productivity and phenology alongside the Andes Mountains (RS-27271; Nov-30-2012)
25 Luo et. al. Validating satellite-derived start of season with estimated leaf unfolding data in the deciduous broadleaf forest of northern China (RS-27421; Dec-04-2012)
26 Mao et al. Global latitudinal-asymmetric vegetation growth trends and their driving mechanisms: 1982-2009
27 Mao et al. Global estimation of CMIP5 Earth System Models in simulating Leaf Area Index against remote-sensing products
28 Murray et al. Evaluation of DGVMs in reproducing satellite derived LAI, Part 2 Uncoupled DGVMs
29 Mathukumalli Long-term variability in vegetation dynamics in the Indo-Bangladesh Sundarban mangrove ecosystem
30 Nan et al. Detecting turning points in seasonal vegetation greenness in the Northern Hemisphere over the last 30 years
31 Pettorelli et al. NDVI in ecology: where and when does it work best?
32 Piao et al. Vegetation greeness changes in SouthEast Asia over the last three decades
33 Pinzon et al. Revisiting error, precision and uncertainty in NDVI AVHRR data: development of a consistent NDVI3g time series
34 Saatchi et al. Coupled impact of climate and land use change on Caspian Sea basin hydrology
35 Scheftic & Zeng et al. Comparison of the interannual variability of Fractional Vegetation Cover and the seasonal variability of Green Vegetation Fraction over the North American Monsoon Region using four different NDVI products
36 Vrieling et al. Length of growing period over Africa: variability and trends from 30 years of NDVI time series (RS-27228; Nov-30-2012)
37 Wang Kai et al. Evaluation of a land surface solar radiation partitioning scheme using remote sensing and FLUXNET FPAR datasets
38 Williams et al.
39 Xu et al. Analysis of vegetation dynamics and its relationship with climate in China from 1982 to 2011
40 Zhou et al. Interannual variability of vegetation greenness and its linkage with hydroclimate variables over the last 30 years
41 Zhu et al. Global data sets of vegetation LAI3g and FPAR3g derived from GIMMS NDVI3g for the period 1981 to 2011
42 Zhu et al. Trends in global vegetation greenness 1982 to 2011