AVHRR_Path Finder vegetation index dataset of long time series in China (1981-2001)- A Big Earth Data Platform for Three Poles

The data used in this research was provided by the Pathfinder database of the EROS (Earth Resource Observation System) data center. The vegetation index NDVI was prepared by using the NOAA-AVHRR data source after radiation correction and geometric rough correction. Every day, each track image is processed with geometric fine correction, removal of bad lines, and removal of clouds, etc., and then NDVI calculation and synthesis. The daily NDVI calculation formula is: 1000 × (b2-b1) / (b2 + b1), where b1 and b2 are the first and second channels of AVHRR.

Parameter table of Pathfinder AVHRR

Parameter / Variable Definition Unit Range

NDVI Normalized Vegetation Index None (-1,1)

CLAVR identification Cloudiness index from CLAVR algorithm None (0,30)

QC identification Data quality identification None (0,16)

Scanning angle Sensor angle Radian (-1.05, 1.05)

Solar zenith angle Solar zenith angle per pixel Radian (0, 1.04)

Relative zenith angle Relative zenith angle of the sensor Radian (-1.05, 1.05)

Ch1 reflectance Reflectance of the first channel (0.58-0.68um) Percent (0,100)

Ch2 reflectance Reflectivity of the second channel (0.72--1.10um) Percentage (0, 100)

Ch3 brightness temperature Bright temperature value of the third channel (3.55-3.95um) Kelvin temperature scale (160, 340)

Ch4 brightness temperature Brightness value of the fourth channel (10.3-11.3um) Kelvin temperature scale (160, 340)

Ch5 brightness temperature Bright temperature value of the fifth channel (11.5-12.5um) Kelvin temperature scale (160, 340)

The data set includes data on NDVI in China's sub-regions from 1981 to June-September 2001, and data on tens of months in each of the years 1982, 1986, 1991, and 1996 (a total of 343 in 84 months, of which 1981 in June 1981). Data are missing in January and July 1st, and September 3rd 1994)

Dataset attributes and format:

This data set is stored in a year folder, which contains .HDR header files, .IMG files, and .JPG image files under the same file name. The data in the IMG is stored as integers. The naming rules are as follows:

avhrrpf. *. Intfgl.yymmdd_geo where * represents ch1 or ch2 or ch4 or ch5 or ndvi, please refer to Table 1 for its specific meaning and range; yy represents the last two digits of the year; mm represents the month; dd represents the specific date.

Data projection:

Size is 963, 688

Coordinate System is:

GEOGCS ["WGS 84",

DATUM ["WGS_1984",

SPHEROID ["WGS 84", 6378137,298.257223563,

AUTHORITY ["EPSG", "7030"]],

TOWGS84 [0,0,0,0,0,0,0],

AUTHORITY ["EPSG", "6326"]],

PRIMEM ["Greenwich", 0,

AUTHORITY ["EPSG", "8901"]],

UNIT ["degree", 0.0174532925199433,

AUTHORITY ["EPSG", "9108"]],

AUTHORITY ["EPSG", "4326"]]

Origin = (70.035426000000001, 54.945585999999999)

Pixel Size = (0.072727000000000, -0.072727000000000)

Corner Coordinates:

Upper Left (70.0354260, 54.9455860) (70d 2'7.53 "E, 54d56'44.11" N)

Lower Left (70.0354260, 4.9094100) (70d 2'7.53 "E, 4d54'33.88" N)

Upper Right (140.0715270, 54.9455860) (140d 4'17.50 "E, 54d56'44.11" N)

Lower Right (140.0715270, 4.9094100) (140d 4'17.50 "E, 4d54'33.88" N)

Center (105.0534765, 29.9274980) (105d 3'12.52 "E, 29d55'38.99" N)

Band 1 Block = 963x1 Type = UInt16, ColorInterp = Undefined

Computed Min / Max = 1.000,55480.000

File naming and required software

This data set is stored in the year folder, which contains the. HDR header file,. Img file and. JPG image file under the same file name. The data in img is stored in integer type. The naming rules are as follows: avhrrpf. * intfgl.yy MM DD ﹣ where * stands for ch1 or CH2 or CH4 or CH5 or NDVI, and its specific meaning and value range refer to table 1; YY stands for the last two digits of the year; mm stands for the month; DD stands for the specific date. It can be opened in ENVI and ERDAS software.

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Cite as:

Tucker, C.J., J.E.Pinzon, M.E.Brown. (2013). AVHRR_Path Finder vegetation index dataset of long time series in China (1981-2001). 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

1.Huang Y, Guo X, Wang Y. Historical and Ecological Factors Affecting Regional Patterns of Endemism and Species Richness: The Case of Squamates in China[J]. 2013 (View Details )

2.Yang J, Ding Y, Chen R. Spatial and temporal of variations of alpine vegetation cover in the source regions of the Yangtze and Yellow Rivers of the Tibetan Plateau from 1982 to 2001[J]. Environmental Geology, 2006, 50(3): 313–322. doi:10.1007/s00254-006-0210-8 (View Details | Download )

3.Dou, Hongliang, Jiang, Guangshun, Stott, Philip, Piao, Renzhu. Climate change impacts population dynamics and distribution shift of moose (Alces alces) in Heilongjiang Province of China. Ecological Research, 2013, 28(4):625-632. doi:10.1007/s11284-013-1054-9 (View Details )

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