Long time series vegetation index data set of spot & vegetation in China (1998-2007)- A Big Earth Data Platform for Three Poles

The VEGETATION sensor sponsored by the European Commission was launched by SPOT-4 in March 1998. Since April 1998, SPOTVGT data for global vegetation coverage observation has been received by Kiruna ground station in Sweden. The image quality monitoring center in Toulouse, France is responsible for image quality and provides relevant parameters (such as calibration coefficient). Finally, the Belgian flemish institute for technological research (Vito)VEGETATION processing Centre (CTIV) is responsible for preprocessing into global data of 1km per day. Pretreatment includes atmospheric correction, radiation correction, geometric correction, production of 10 days to maximize the synthesized NDVI data, setting the value of -1 to -0.1 to -0.1, and then converting to the DN value of 0-250 through the formula DN=(NDVI+0.1)/0.004.

The data set is a subset extraction from China, including spectral reflectance of four bands synthesized every 10 days and 10 days' maximum NDVI. It is data from 1998 to 2007 with a spatial resolution of 1km and a temporal resolution of 10 days.

File format:

Hfr and img files.

The file naming rule is: CHN _ NDV _ YYYMMDD, where YYYYMMDD is the date of the day represented by the file and is also the main identifier different from other files.

The remote sensing image files with suffix. IMG and. HDF used by users to analyze vegetation index can be opened in ENVI and ERDAS software.

Coordinate system and projection

Plate_Carree (Lon/Lat)

PROJ_CENTER_LON 0.000000

PROJ_CENTER_LAT 0.000000

PIXEL_SIZE_UNITS DEGREES/PIXEL

PIXEL_SIZE_X 0.0089285714

PIXEL_SIZE_Y 0.0089285714

SEMI_AXIS_MAJ 6378137.000000

SEMI_AXIS_MIN 6356752.314000

UL_LON (DEG) 73.000000

UL_LAT (DEG) 54.000000

LR_LON (DEG) 135.500000

LR_LAT (DEG) 5.000000

Corner coordinates are:

Corner Coordinates:

Upper Left ( 69.9955357, 55.0044643)

Lower Left ( 69.9955357, 14.9955358)

Upper Right ( 137.0044641, 55.0044643)

Lower Right ( 137.0044641, 14.9955358)

Where Upper Left is the upper left corner, Lower Left is the lower left corner, Upper Right is the upper right corner, and Lower Right is the lower right corner.

File naming and required software

The file naming rule is: CHN _ NDV _ YYYMMDD, where YYYYMMDD is the date of the day represented by the file and is also the main identifier different from other files.
The remote sensing image files with suffix. IMG and. HDF used by users to analyze vegetation index can be opened in ENVI and ERDAS software.

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Cite as:

Greet, J., Food and Agriculture Organization of the United Nations（FAO）. (2013). Long time series vegetation index data set of spot & vegetation in China (1998-2007). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

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2.Wang HW, Qi Y, Huang CL, et al., 2019. Analysis of vegetation changes and dominant factors on the Qinghai-Tibet Plateau, China. Sciences in Cold and Arid Regions, 11(2): 0150−0158. DOI: 10.3724/SP.J.1226.2019.00150. (View Details )

3.Yang Y, Xu J, Hong Y, Lv G. The dynamic of vegetation coverage and its response to climate factors in Inner Mongolia, China[J]. Stochastic Environmental Research and Risk Assessment, 2012, 26(3): 357–373. doi:10.1007/s00477-011-0481-9 (View Details )

4.LIU Chao,LU Ling,HU Xiao-li. Comparison Analysis on Digital Soil Texture Mapping in an area of Zhangye,Heihe River Basin. Remote Sensing Technology and Application, 2011, 26(2): 177-185. (View Details )

5.Li, Huixia, Liu, Guohua, Fu, Bojie. Estimation of regional evapotranspiration in alpine area and its response to land use change: A case study in Three-River Headwaters region of Qinghai-Tibet Plateau, China. Chinese Geographical Science, 2012, 22(4):437-449. doi:10.1007/s11769-012-0550-0 (View Details )

6.Jiang, Guangshun, Liu, Jun, Xu, Lei, Yu, Guirui, He, Honglin, Zhang, Zhibin. Climate warming increases biodiversity of small rodents by favoring rare or less abundant species in a grassland ecosystem. Integrative Zoology, 2013, 8(2):162-174. doi:10.1111/1749-4877.12027 (View Details )

7.Feng, X.M., Sun, G., Fu, B.J., Su, C.H., Liu, Y., & Lamparski, H. (2012). Regional effects of vegetation restoration on water yield across the Loess Plateau, China. Hydrol. Earth Syst. Sci., 16(8), 2617-2628. doi:10.5194/hess-16-2617-2012 (View Details )

8.Xu, L., Xu, X., & Meng, X. (2013). Risk assessment of soil erosion in different rainfall scenarios by RUSLE model coupled with Information Diffusion Model: A case study of Bohai Rim, China. CATENA, 100, 74–82. https://doi.org/10.1016/j.catena.2012.08.012. (View Details )

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