Reanalysis Dataset of MODIS-NDVI in Southeast Asia, 2010
WANG Zhengxing1CAO Yunfeng1
1 Institute of Geographical Sciences and Natural Resources Research，State Key Lab of Resources and Environmental Information System，Beijing100101
DOI:10.3974/geodb.2016.03.16.V1
Published:Jun. 2016
Visitors：16055 Data Files Downloaded：4682
Data Downloaded：808020.55 MB Citations：
Key Words：
MODIS-NDVI,time serial,data quality,reanalysis,Southeast Asia
Abstract：
MODIS-NDVI is one of the most widely used parameters for global change research, but the noises resulted from various factors have gravely impaired its credibility. This is especially true in cloudy Southeast Asia. This reanalysis dataset ameliorate the noise problem in two steps. First, two 16-day NDVI serials (Terra-MODIS and Terra-MODIS) were combined into 8-day serials according to actual DOY (Day of the Year, 2010) and QA (Quality Assessment). Second, newly formed 8-day NDVI serials were reanalyzed using S-G algorithm in Timesat package. By using QA as weight factor, good quality data were reserved, and poor data were rebuilt. Visual inspection showed that peckles from residual cloud were greatly removed, and spatial patterns became more informative. The dataset are delivered in two forms: 8-day/250m and Monthly/250m. The dataset is archived in the .tif data formats with the total compressed data size of 9.77GB.Browse
Foundation Item：
Chinese Academy of Sciences (KZZD-EW-08-01-02-01); Ministry of Science and Technology, P. R. China (2015DFA11360)
Data Citation：
WANG Zhengxing, CAO Yunfeng. Reanalysis Dataset of MODIS-NDVI in Southeast Asia, 2010[J/DB/OL]. Digital Journal of Global Change Data Repository, 2016. https://doi.org/10.3974/geodb.2016.03.16.V1.
Wang, Z. X., Cao, Y. F. Reanalysis dataset on MODIS-NDVI in Southeast Asia, 2010 [J]. Journal of Global Change Data & Discovery, 2017, 1(3): 317-323. DOI: 10.3974/geodp.2017.03.10.
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