| 摘要: |
| 在气候变化与人类活动的影响下,鄱阳湖洪涝灾害和干旱频发,严重影响鄱阳湖流域的生态环境。本研究旨在通过雷达遥感技术,准确监测鄱阳湖水域面积全天候的时空动态变化,为鄱阳湖水资源评估和旱涝灾害预警提供科学依据。基于2014-2023年Sentinel-1影像,分别利用单波段阈值法、双极化水体指数以及谱间关系法,结合最大类间方差法自适应确定阈值提取水体,通过精度评价,选定最优提取方法,应用于全天候鄱阳湖水域面积提取。结合星子站、湖口站水位数据,揭示水位变化与湖泊水域面积关系。得到鄱阳湖全天候水位-面积逐日数据集,该数据集包括2014-2023年共424期鄱阳湖水域栅格数据、水域面积汇总数据以及星子站、湖口站水位数据,数据集存储为.tif、.xlsx格式。同时,利用湖泊水域面积时间序列曲线的扰动事件识别方法,识别2020年和2022年面积突变的主要因素。结果表明：谱间关系法结合最大类间方差的阈值分割法的提取精度最优(总体精度＞95%)；2016-2023年间,鄱阳湖的水域面积呈现显著的年内变化,主要集中在河道以及湖中部。水位与面积变化总体趋于一致(p<0.05,R2≥0.82),水位≥14m时,水位变化与湖泊水域面积变化呈现显著正相关(R2＞0.79)从湖泊时间序列扰动结果分类可以看出,2020年湖泊水域面积扩张的主要原因是自然因素,2022年湖泊水域面积骤减的主要原因是人为因素。 |
| 关键词: 水域面积 鄱阳湖 Sentinel-1 Google Earth Engine 时序变化 |
| DOI： |
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| 基金项目:国家自然科学基金（No.42361144002）;自然资源部国土卫星遥感应用重点实验室项目（No. KLSMNR-K202302） |
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| Daily water level-area dataset in Lake Poyang under all-weather (2014-2023) |
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LI XIN YUE1, XIE TAO, MA RONG HUA2
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1.School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science & Technology;2.State Key Laboratory of Environment and Institute of Geography and Limnology, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences
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| Abstract: |
| Under the influence of climate change and human activities, floods and droughts occur frequently in Poyang Lake, seriously affecting the ecological environment of Poyang Lake basin. This study aims to accurately monitor the spatial and temporal dynamics of Poyang Lake watershed area in all-weather by radar remote sensing technology, which provides scientific basis for the assessment of water resources and early warning of droughts and floods in Poyang Lake. Based on the Sentinel-1 images from 2014 to 2023, the single-band threshold method, dual-polarized water body index and inter-spectral relationship method, combined with the maximum interclass variance method to adaptively determine the threshold value to extract the water body, and the optimal extraction method was selected through the evaluation of the accuracy and applied to the all-weather extraction of the water area of Poyang Lake. Combined with the water level data of Xingzi Station and Hukou Station, the relationship between water level change and |
| Key words: Water body area Poyang Lake Sentinel-1 Google Earth Engine Time series change |
