安徽省油菜种植面积MODIS数据分析
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安徽省教育厅教研项目(2018jyxm0217);安徽省高校优秀拔尖人才培育项目(gxgnfx2018051);教育部产学合作协同 育人项目(201802201036);安徽省十三五规划教材项目(2017ghjc219);安徽省一流本科教材项目(2018yljc113);宿 州学院教师应用能力发展工作站(2017XJYY01);宿州学院专业带头人(2019XJZY06)。


Extraction and Spatial-Temporal Variation Analysis of the Rape Planting Area in Anhui Province Based On MODIS Data
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    摘要:

    以安徽省为研究区,选取MODIS数据为数据源,首先基于2011年到2018年的16 d合成MODIS归一化差值植被指数产 品,利用ENVI软件提取油菜种植面积。然后结合谷歌影像,通过目视解译和NDVI数据提取安徽省多时相油菜种植面积,在 此基础上对 MODIS-NDVI 数据提取油菜种植面积的结果进行验证,并分析了其时空变化。与统计监测数据相比,利用 MODIS数据提取油菜面积精度可达84.5%。通过实践和验证,利用MODIS-NDVI数据提取安徽省油菜种植面积具有一定的 可行性和可靠性。研究成果可为政府部门掌握农作物生产和农业发展情况提供基础数据,也可为其他省份研究油菜种植面积 提取提供参考和借鉴。

    Abstract:

    Anhui Province was studied by adoption of MODIS data as the data source. First, based on vegetation index products of the 16d synthetic MODIS normal difference from 2011 to 2018, ENVI was adopted to extract the rape planting area; second, with the help of Google images, the multi-phase rape planting area in Anhui Province was extracted by the visual interpretation and NDVI data. Based on these, the extraction results of the rape planting area by MODIS-NDVI data were verified, and the temporal and spatial changes were analyzed. Compared with statistical monitoring data, the accuracy of extracting rape planting area by using MODIS data can reach 84.5%. Via practice and verification, we concluded that it was feasible and reliable to extract the rape planting area in Anhui province by MODIS-NDVI data and thesis method. Our study results can provide basic data for relevant government agencies to better understand the crop production and agricultural development situation, as well as for other provinces to study the rape planting area extraction.

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何思洁 ,樊翠云 ,陈 丽 ,方 刚* ,王 琦.安徽省油菜种植面积MODIS数据分析[J].西昌学院学报(自然科学版),2020,34(1):14-18.

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  • 在线发布日期: 2020-05-21