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Data Details

Rice Distribution Dataset in Hunan Province (2012)


DU Xin1LI Qiangzi*1WANG Hongyan1ZHANG Yuan1
1 Aerospace Information Research Institute，Chinese Academy of Sciences，Beijing 100101，China

DOI:10.3974/geodb.2020.09.01.V1

Published:Dec. 2020

Visitors：6840       Data Files Downloaded：180      
Data Downloaded：11857.58 MB      Citations：

Key Words：

classification,early/middle/late rice,Hunan province,HJ-1

Abstract：

Rice Distribution Dataset in Hunan Province (2012) was developed based on HJ-1 A/B images, using the integrating supervised, unsupervised classification methods, and the mixed pixel decomposition model. This dataset was validated using the identification results from the high spatial resolution remote sensing data (Rapid Eye) for early rice and the in situ data for middle and late rice, respectively. This dataset includes the early, middle and late rice distribution in Hunan province in 2012. It is archived in .tif data format with Universal Transverse Mercator projection and spatial resolution of 30 m. It consists of three data files with data size of 72 MB (compressed into one single file with 65.8 MB).The analysis paper based on this dataset was published in Journal of Applied Remote Sensing, Vol. 8, No.1, 2014.

Foundation Item：

National Natural Science Foundation of China (41571422, 41071277)；Chinese Academy of Sciences (2020)

Data Citation：

DU Xin, LI Qiangzi*, WANG Hongyan, ZHANG Yuan. Rice Distribution Dataset in Hunan Province (2012)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2020. https://doi.org/10.3974/geodb.2020.09.01.V1.

References：

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     [3].Wu, B., Li, Q. Crop planting and type proportion method for crop acreage estimation of complex agricultural landscapes [J].International Journal of Applied Earth Observation and Geoinformation, 2012, 16: 101–112.
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     [6].Jia, K., Li, Q., Tian, Y., Wu, B., Zhang, F., Meng, J. Crop classification using multi-configuration SAR data in the North ChinaPlain [J].International Journal of Remote Sensing, 2012, 33(1): 170–183.
     [7].Jakubauskas,M. E., Legates,D. R.,Kastens,J. H.Crop identification using harmonicanalysis of time-series AVHRRNDVI data [J].Computers and Electronics in Agriculture, 2002, 37(1): 127–139.
     [8].Potgieter A., Apan, A., Hammer, G., Dunn, P.Estimating winter crop area across seasons and regions using time-sequential MODIS imagery [J].International Journal of Remote Sensing, 2011, 32(15): 4281–4310.
     [9].Wardlow, B. D., Egbert,S. L.Large-area crop mapping using time-series MODIS 250 m NDVI data: an assessment for the U.S. Central Great Plains [J].Remote Sensing of Environment, 2007,112(3): 1096–1116.
     [10].Li, Q., Wu, B., Jia, K., Dong, Q., Eerens, H., Zhang, M. Maize acreage estimation using ENVISATMERIS and CBERS-02B CCDdata in the North China Plain [J].Computers and Electronics in Agriculture, 2011, 78(2): 208–214.
     [11].Koppe, W., Gnyp, M. L., Hütt, C., Yao, Y., Miao, Y., Chen, X., Bareth, G. Rice monitoring with multi-temporal and dual-polarimetricTerraSAR-Xdata [J].International Journal of Applied Earth Observation and Geoinformation, 2013, 21: 568–576.
     [12].Peng, D., Huete, A.R., Huang, J., Wang, F., Sun, H. Detection and estimation of mixed paddy rice cropping patterns withMODIS data [J].International Journal of Applied Earth Observation and Geoinformation, 2011, 13(1): 13–23.
     [13].Jia,K., Wu, B., Li, Q. Crop classification using HJ satellite multispectral data inthe North China Plain [J].Journal of Applied Remote Sensing,2013, 7(1): 073576.
     [14].Foody,G. M. Status of land cover classification accuracy assessment [J]Remote Sensing of Environment, 2002, 80(1): 185–201.
     [15].Chen, J., Huang, J., Hu,J.Mapping rice planting areas in southern China using theChina Environment Satellite data [J]. Mathematical and Computer Modelling, 2011, 54(3-4): 1037–1043.
     

Data Product:

ID Data Name Data Size Operation
1 Hunan_Rice_2012.rar 67456.48KB
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