基于多源遥感数据融合的土地整治区产能动态监测:方法与案例

发布时间：2018-10-10 07:11

【摘要】：土地整治作为实现耕地保护和促进粮食安全的重要措施,由其引起的耕地产能提升受到持续关注。为克服传统实地调研、农户问卷调查等方法在数据可靠性、监测连续性、区域覆盖性等方面的不足,以及现有遥感数据产品在项目区尺度时空分辨率上的限制,基于MODIS、TM/ETM+/OLI数据,结合CASA模型和ESTARFM方法,以典型土地整理项目区为试验区,探索基于多源遥感数据融合的土地整治区产能动态监测技术方法。研究表明:基于融合数据获取的高时空分辨率结果能较好地分离项目区整治前后的地类特征,细化产能季节波动,显化产能动态变化过程;从监测结果看,试验区产能呈现先减后增的总体趋势,多年变化范围为519.87~728.29 g C?m~(-2)?a~(-1),整治后产能均值提升,且产能稳定性提高。
[Abstract]:As an important measure to protect cultivated land and promote food security, land reclamation has been paid more and more attention to. In order to overcome the shortcomings in data reliability, monitoring continuity, regional coverage and the limitation of existing remote sensing data products in temporal and spatial resolution of project area, based on MODIS,TM/ETM / Oli data, the traditional methods such as field investigation, peasant household questionnaire and so on are overcome. Based on CASA model and ESTARFM method, this paper explores the dynamic monitoring method of productivity of land regulation area based on multi-source remote sensing data fusion, taking typical land consolidation project area as experimental area. The research shows that the high spatial and temporal resolution results obtained from the fusion data can better separate the ground characteristics before and after the renovation of the project area, refine the seasonal fluctuation of productivity, and manifest the process of dynamic change of productivity. The production capacity of the test area showed a general trend of first decreasing and then increasing, with a range of 519.87g / 728.29g / c? M-2? A ~ (-1), the average productivity increased after treatment, and productivity stability improved.
【作者单位】：南京信息工程大学地理与遥感学院;南京大学地理与海洋科学学院;国土资源部海岸带开发与保护重点实验室;南京大学自然资源研究中心;
【基金】：国家科技支撑计划项目(2015BAD06B02)
【分类号】：F301.2;P237

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