Time Series of Land Surface Phenology Dataset in Central Asia (1982-2015)
MA Yonggang1LIU Suhong1
1 College of Resource and Environment Sciences，Xinjiang University，Urumchi 200136，China
DOI:10.3974/geodb.2020.01.05.V1
Published:Jan. 2020
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Key Words：
land surface phenology,remote sensing,NDVI,Central Asia,1982-2015
Abstract：
Central Asia (30°N-60°N, 50°E-100°E) is one of the typical arid and semi-arid regions in the world. Based on GIMMS ndvi3g v1 long-time series of NDVI, the threshold-based method (Jonsson and Eklundh, 2002) and inflexion-based method (Zhang, 2003) were used to extract the surface phenology data in Central Asia from 1982 to 2015. The spatial reference system is geographic coordinate system at a spatial resolution of 0.0833° (about 8 km). The dataset is consisted of two groups of data files: Group V1 and Group V2. The processing of the Group V1 development is as follows: first of all, the NDVI data were filtered and reconstructed by Double logistic function, and then the start of season (SOS), end of season (EOS), and length of season (LOS) were calculated by 20% dynamic threshold method. Meanwhile, the Group V2 was developed following the processing that the NDVI time series data was reconstructed using a series of piece wise logistic functions, and then the SOS, EOS, and LOS were calculated by the inflexion-based method. The dataset is archived in .hdr, .img and .tif data formats in 408 data files, with the data size of 126 MB (Compressed to 75.6 MB in one file).Browse
Foundation Item：
Ministry of Science and Technology of P.R. China (2017YEF0118100)；National Natural Science Foundation of China (41761013，41861053)；Department of Education of the Xinjiang Uygur Autonomous Region (XJEDU2017M007)
Data Citation：
MA Yonggang, LIU Suhong. Time Series of Land Surface Phenology Dataset in Central Asia (1982-2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2020. https://doi.org/10.3974/geodb.2020.01.05.V1.
MA Yonggang, LIU Suhong. Time series of land surface phenology dataset in Central Asia (1982-2015) [J]. Journal of Global Change Data & Discovery, 2020, 4(1): 31-37. DOI: 10.3974/geodp.2020.01.05.
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| 0 | Datapaper_LandSur_Phenology_Central Asia_1982-2015.pdf | 374.00kb | DownLoad |
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LandSur_Phenology_Central Asia_1982-2015.rar |
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