数据集(库)目录

出版期刊|区域分类

数据详情

湖南省水稻分布数据集(2012)


杜鑫1李强子*1王红岩1张源1
1 中国科学院空天信息创新研究院,北京100101

DOI:10.3974/geodb.2020.09.01.V1

出版时间:2020年12月

网页浏览次数:4634       数据下载次数:180      
数据下载量:11857.58 MB      数据DOI引用次数:

关键词:

分类识别,早、中、晚稻,湖南省,HJ-1

摘要:

基于2012年HJ-1A/B卫星数据,综合利用监督分类与非监督分类方法,并结合混合像元分解模型,识别提取得到湖南省早、中、晚稻的空间分布;通过与高分辨率数据(RapidEye)识别结果(早稻)及地面调查实测样方数据(中、晚稻)进行对比验证,得到湖南省水稻分布数据集(2012)。该数据集包括2012年湖南省早、中、晚稻的空间分布数据。数据为横轴墨卡托投影,空间分辨率为30 m。数据集存储为.tif数据格式,由3个数据文件组成,数据量为72 MB(压缩为1个文件65.8 MB)。基于该数据集的研究成果发表在Journal of Applied Remote Sensing 2014年8卷1期。

基金项目:

国家自然科学基金(41571422,41071277);中国科学院国际合作局(2020)

数据引用方式:

杜鑫, 李强子*, 王红岩, 张源. 湖南省水稻分布数据集(2012)[J/DB/OL]. 全球变化数据仓储电子杂志(中英文), 2020. https://doi.org/10.3974/geodb.2020.09.01.V1.

参考文献:

[1].Badhwar, G. D., Carnes, J. G., Austin, W. W.Use of landsat-derived temporal profilesfor corn-soybean feature extraction and classification [J].Remote Sensing of Environment, 1982, 12(1): 57–79.
     [2].Fritz,S., Massart, M., Savin, I., Gallego, J., Rembold, F. The use of MODIS data to derive acreage estimations for larger fields:a casestudy in the south-western Rostov region of Russia [J].International Journal of Applied Earth Observation and Geoinformation, 2008, 10(4):453–466.
     [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.
     [4].Badhwar,G. D.,Gargantini,C. E., Redondo, F. V. Landsat classification of Argentinasummer crops [J].Remote Sensing of Environment, 1987, 21(1): 111–117.
     [5].Johnson,D. M.A comparison of coincident Landsat-5 TM and Resourcesat-1 AWiFSimagery for classifying croplands [J].Photogrammetric Engineering and Remote Sensing, 2008, 74(11): 1413–1423.
     [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.
     

数据下载:

序号 数据名 数据大小 操作
1 Hunan_Rice_2012.rar 67456.48KB
主办单位
中国科学院地理科学与资源研究所    中国地理学会
协办单位
CODATA发展中国家任务组    肯尼亚JKUAT大学    数字化林超地理博物馆