| 摘要: |
| 【目的】运用遥感技术分析江苏省水稻种植面积的空间动态变化特征。【方法】选择江苏省水稻主产区50个1∶50 000比例尺标准地形图图幅单元为研究区域,基于江苏省5 m空间分辨率耕地遥感数据库,利用2011-2019年水稻生长期内遥感卫星影像,提取研究区当年的水稻种植面积空间分布信息,综合运用数理统计和GIS空间分析等方法,分析2011-2019年水稻种植面积的时空动态变化特征。【结果】研究区内50%地区的水稻种植面积仍然保持稳定,42%地区的水稻种植面积缓慢下降,仅8%地区的水稻种植面积急剧下降。2011年以来,累计有116.4 khm2水稻田转为非耕地或持续种植其他作物,是2011年监测区内水稻种植面积的13.7%。【结论】2011-2019年研究区内水稻种植面积变化趋势线斜率为-8.82,总体呈下降趋势,水稻面积平均变化率-1.03%,总体变异系数2.99%,变异系数与平均变化率绝对值的相关关系为0.98,在95%水平上达到显著相关。 |
| 关键词: 遥感监测 水稻面积 空间分布 种植格局 动态变化 |
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| 基金项目:江苏省农业科技自主创新基金项目；国家科技重大专项 |
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| Analysis on the Spatial-Temporal Dynamic Changes of Rice Planting Area in the Main Rice Production Area of Jiangsu Province |
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SUN LING
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Jiangsu Academy of Agricultural Sciences
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| Abstract: |
| ［Purpose］Using Remote Sensing Technology to Analyze Spatial Dynamic Variation Characteristics of Rice Planting Area in Jiangsu Province.［Method］Select 50 standard topographic map units in the main rice producing area of Jiangsu Province as the research area, based on the 5 m spatial resolution farmland remote sensing database of Jiangsu Province, and use the remote sensing satellite images of the rice growing season from 2011 to 2019 to extract research The spatial distribution information of rice planting area in the district in the current year, comprehensively using mathematical statistics and GIS spatial analysis and other methods, to analyze the temporal and spatial dynamic characteristics of rice planting area from 2011 to 2019.［Result］The rice planting area in 50% of the study area remained stable, the rice planting area in 42% fell slowly, and the rice planting area in only 8% fell sharply. Since 2011, a total of 116.4 khm2 rice fields have been converted to non-cultivated land or other crops have been continuously planted, which is 13.7% of the rice planting area in the monitoring area in 2011.［Conclusion］In 2011-2019, the slope of the change trend line of rice planting area in the study area was -8.82, and the overall trend was a downward trend. The average change rate of rice area was -1.03%, the overall coefficient of variation was 2.99%, and the correlation between the coefficient of variation and the absolute value of the average rate of change was 0.98, reaching a significant correlation at the 95% level. |
| Key words: Remote sensing monitoring Rice area Spatial distribution Planting pattern Dynamic changes |