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Vegetation Phenology Dataset Based on MOD13Q1 in Mongolia (2001-2019)

SHAO Yating1WANG Juanle*1
1 Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China


Published:Mar. 2022

Visitors:906       Data Files Downloaded:43      
Data Downloaded:12077.35 MB      Citations:

Key Words:

Mongolia,vegetation phenology,length of growing season


Mongolia is an important part of the Mongolian Plateau, and an important response region to global ecological and environmental changes. The vegetation phenology dataset based on MOD13Q1 in Mongolia (2001-2019) was developed based on the data integration between the MOD13Q1 NDVI product with dynamic threshold method on the TIMESAT platform. The day when the NDVI value reaches 50% of the amplitude of NDVI change in spring was determined as beginning of the growing season; when the NDVI value drops to 55% of the NDVI amplitude in autumn, the day was taken as end of the growing season. The result shows that the average length of vegetation growing season was 90-207 d in Mongolia during 2001-2019. The dataset includes annual and average data of the start of growing season (SOS), end of growing season (EOS), and length of growing season (LOS) in Mongolian vegetation from 2001 to 2019. The spatial resolution is 250 m. The dataset is archived in.tif data format, and consists of 60 data files with data size of 944 MB (Compressed into three files with 844 MB). The research paper based on this dataset was published in Geographical Research, Vol. 40, No. 11, 2021.

Foundation Item:

National Natural Science Foundation of China (32161143025, 41971385); Chinese Academy of Sciences (XDA2003020302)

Data Citation:

SHAO Yating, WANG Juanle*. Vegetation Phenology Dataset Based on MOD13Q1 in Mongolia (2001-2019)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022.


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Data Product:

ID Data Name Data Size Operation
1 VPD_EOS_2001-2019.rar 262225.88KB
2 VPD_LOS_2001-2019.rar 332173.23KB
3 VPD_SOS_2001-2019.rar 270242.63KB