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Special Issue Overview - Test

Related Research Areas
Carbon Cycle & Ecosystems, Climate Variability & Change, Water & Energy Cycles
Project Description
Overview 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. Published Papers Authors: Rasmus Fensholt, Kjeld Rasmussen, Per Kaspersen, Silvia Huber, Stephanie Horion and Else Swinnen. Article: Assessing Land Degradation/Recovery in the African Sahel from Long-Term Earth Observation Based Primary Productivity and Precipitation Relationships Cite: Remote Sens. 2013, 5(2), 664-686; doi:10.3390/rs5020664 Code: Click here to get access to the code NEX project page: https://c3.nasa.gov/nex/projects/1318/ Authors: Rasmus Fensholt, Kjeld Rasmussen, Per Kaspersen, Silvia Huber, Stephanie Horion and Else Swinnen. Article: Assessing Land Degradation/Recovery in the African Sahel from Long-Term Earth Observation Based Primary Productivity and Precipitation Relationships Cite: Remote Sens. 2013, 5(2), 664-686; doi:10.3390/rs5020664 Code: Click here to get access to the code NEX project page: https://c3.nasa.gov/nex/projects/1318/
Project Administrator(s):
Petr Votava

Members

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Petr Votava
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RAMAKRISHNA NEMANI
Sangram Ganguly