Hyperspectral Remote Sensing Dataset for Tea Farm
ZHANG Xia1ZHANG Bing1ZHANG Lifu1SUN Yanli1
1 Institute of Remote Sensing and Digital Earth，Chinese Academy of Sciences，Beijing 100101，China
DOI:10.3974/geodb.2017.03.04.V1
Published:Aug. 2017
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Key Words：
tea farm,remote sensing,hyperspectral image,land type,PHI
Abstract：
Hyperspectral remote sensing can acquire not only the surface spatial image but also the fine spectrum of the ground object through continuous narrow band imaging, which has stronger ability of feature recognition and fine classification than other remote sensing data. This dataset was acquired over Fanglu tea farm in Changzhou, China, including the hyperspectral remote sensing image and the synchronous ground survey data. The hyperspectral remote sensing image was acquired by Aerosol Pushbroom Hyperspectral Imager (PHI) and the image center located at 119°22′53″E，31°40′39″N. It consists of 348 x 512 pixels; the spatial resolution is 2.25 m. There are 80 spectral bands in the wavelength range 417-855 nanometer, including those of 417.40, 425.10, 432.80, 440.40, 448.10, 455.80, 463.70, 471.60, 479.40, 487.30, 495.20, 504.90, 514.60, 524.40, 534.10, 543.80, 548.70, 553.70, 558.60, 566.50, 574.40, 578.20, 582.10, 585.90, 589.80, 593.60, 597.50, 601.40, 605.40, 609.30, 613.20, 617.10, 621.10, 624.90, 628.90, 632.80, 636.60, 640.30, 644.10, 647.80, 651.60, 655.40, 659.30, 663.10, 666.90, 670.70, 674.60, 678.40, 682.30, 686.10, 690.00, 693.80, 697.70, 701.50, 705.40, 709.20, 712.90, 716.60, 720.20, 724.00, 727.60, 731.40, 735.10, 738.90, 746.40, 753.50, 760.60, 767.90, 775.20, 782.60, 789.90, 797.10, 804. 40, 811.50, 818.70, 825.80, 832.90, 840.10, 848.00 and 854.40. The dataset is consisted of three group files: 1) the figure and hyperspectral reflectance data of 10 different land surface types, including Masson pine, Bamboo forest, Tea plant, Reed, Paddy, Sweet potato, Caraway, Weed, Water body and Building/Road; 2) the hyperspectral remote sensing reflectance image over Fanglu tea farm; 3) the ground truth data in the Fanglu tea farm. The dataset was archived in .img, .xlsx and .tif format with compressed data size of 90.6MB.
Foundation Item：
National Natural Science Foundation of China (41671360, 41371362)
Data Citation：
ZHANG Xia, ZHANG Bing, ZHANG Lifu, SUN Yanli.Hyperspectral Remote Sensing Dataset for Tea Farm[J/DB/OL]. Digital Journal of Global Change Data Repository, 2017. https://doi.org/10.3974/geodb.2017.03.04.V1.
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HyperspectralTeaData.rar |
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