Publication Information

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'https://openalex.org/W2984640139', 'https://openalex.org/W3000309135', 'https://openalex.org/W3013769681', 'https://openalex.org/W4385536787'], 'related_works': ['https://openalex.org/W4313432081', 'https://openalex.org/W4285330809', 'https://openalex.org/W4283156607', 'https://openalex.org/W4214921029', 'https://openalex.org/W4200109866', 'https://openalex.org/W3207384893', 'https://openalex.org/W3207046288', 'https://openalex.org/W2969795594', 'https://openalex.org/W2374167006', 'https://openalex.org/W2012686349'], 'abstract_inverted_index': {'由于显著的经济效益和生态效益,近年来稻虾共作模式分布面积迅猛扩张。准确获取稻虾田空间分布信息,对于水稻种植结构调整、产量估算和水资源管理具有重要意义。本文以"小龙虾之乡"——湖北省潜江市为研究区域,基于Google': [0], 'Earth': [1], 'Engine平台协同Landsat': [2], '7/8和Sentinel-2卫星数据,通过分析稻虾田的农业耕作管理和季相节律特征,提取了稻虾田区别其他农作物的关键"水淹"信号和"植被"信号。基于实地稻虾田样本统计分析关键特征的阈值,构建稻虾田规则集识别模型,提取了湖北省潜江市2019年稻虾田空间分布。最后,基于实地样本验证该物候窗口特征方法的精度,并评估和比较了该方法与随机森林和基于水体季相差异方法的表现。结果表明:物候窗口1月1日—4月30日内的水淹信号(LSWI>NDVI或EVI)、物候窗口7月15日—9月30日内的植被信号(NDVI或EVI>LSWI)和物候窗口11月10日—12月31日内的水淹信号是稻虾田遥感识别的典型特征。基于该方法提取的2019年潜江市稻虾田制图精度和用户精度分别为90.74%、94.69%,显著高于水体季相差异方法和随机森林方法的精度。基于关键物候窗口的稻虾田提取方法具有较高的泛化能力,能以较少的实地样本进行时空尺度的延展,从而为大尺度长时序稻虾田遥感制图提供重要的方法支撑。': [3]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4382519761', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2023, 'cited_by_count': 1}], 'updated_date': '2024-09-27T17:45:29.594734', 'created_date': '2023-06-30'}