基于Logistic模型的山东省秋季作物收获期遥感监测

Monitoring the Harvest Data of Crop Using Remote Sensing Based on Logistic Model in Shandong Province

收获期是影响作物品质和产量的关键生育期,准确、及时地获取作物收获期对指导农业生产具有重要意义.该研究在分析秋季作物生长曲线变化特征的基础上,利用MODIS NDVI时序数据为遥感信息源,以Logistic模型为核心,运用曲率最大值法,构建秋季作物收获期的遥感监测模型,并以山东省为研究区,逐像元提取秋季作物的收获时间.研究发现,2014年山东省的秋收时间主要集中在第260 ～285天,即9月中下旬到10月上旬,并呈现从南向北逐渐推迟的空间特征.该研究结果与地面观测数据基本一致,并且该研究结论与已有的研究成果具有较好的一致性,说明该研究基于Logistic模型构建的秋季作物收获期遥感监测模型是可靠的.研究结果可以为山东省农业生产提供一定的科学参考和指导,时促进山东省农业信息化和现代化具有重要意义.

Harvest data is the key part of growth period which affects the quality and quantity of crop. It is important to access to the harvest time accuracy and timely. According to the characteristics of crop growth curve, a remote sensing model was constructed to monitor the harvest time based on logistic model and the maximum curvature using temporal MODS NDVI data. And the harvest data pixel was extracted by pixel of Shandong Province in 2014. The result shows that the harvest time mainly occurs on the 260th to 285th and gradually postponed from south to north. The result is consistent with the ground observation data and previous research, it means that the model monitoring crop harvest data based on Logistic model and remote sensing is reliable. The findings may provide some scientific references and guidance for agricultural activ- ity and promote the process of technology and modernization of agriculture in Shandong Province.