用多光谱卫星图像估计江苏省的水作物种植面积,分析土地利用和土地覆盖变化
Kashif Ali Solangi1,2, Canhua Yang1, Farheen Solangi3
1Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), School of Tropical Agriculture and Forestry, Hainan University, Danzhou 571700, China.
Plants (Basel, Switzerland)
|March 14, 2026
概括
由于城市化和气候变化,江苏省的单季大米 (SSR) 种植面积从2018年至2023年减少. 农业用地的减少影响了粮食安全,需要采取适应性战略.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 机器学习 机器学习
背景情况:
- 气候变化和人口增长对全球粮食安全构成重大威胁.
- 了解单季大米 (SSR) 种植区的变化对于维持大米的分布和确保粮食安全至关重要.
研究的目的:
- 估计从2018年到2023年江苏省的SSR作物种植模式及其面积变化.
- 评估环境因素如NDVI,LST和LULC对SSR区域变化的影响.
- 评估城市化和气候变化对农业用地的影响.
主要方法:
- 使用了在江苏省收集的地面验证数据 (1700米,470非米点).
- 采用遥感 (RS) 技术和机器学习 (ML),特别是随机森林 (RF) 模型,通过谷歌地球引擎 (GEE).
- 在研究期间分析了规范差异植被指数 (NDVI),土地表面温度 (LST) 和土地使用-土地覆盖 (LULC) 的变化.
主要成果:
- NDVI显示了上升的趋势 (2018年的0.30到2023年的0.42),而LST在2020年 (14.4°C) 和2022年 (14.1°C) 达到顶峰.
- 从2018年到2023年,SSR区域发生了显著的变化,从2018年到2023年,总减少了0.92%,主要是在江苏东部和南部.
- 农作物面积减少了4.13%,与建筑和水体面积的显著转换 (2020-2023年变化为2.75%).
结论:
- 在研究期间,江苏省的单季大米作物种植模式和农田总面积有所下降.
- 城市化和气候变化是农业土地损失的关键驱动因素,影响了作物种植.
- 适应性战略对于江苏省在环境挑战中保持粮食安全至关重要.
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