基于卫星的先进遥感和数据分析,用于精确的水资源管理和农业优化
Awais Ali1, Muhammad Yousuf Jat Baloch2, Muhammad Naveed1
1Department of Geography, Government Graduate College Gojra, Toba Tek Singh, Pakistan.
Scientific reports
|July 28, 2025
概括
在南非的灌土地.
科学领域:
- 遥感和地理空间分析
- 环境科学与可持续发展
- 农业用水管理农业用水管理
背景情况:
- 南非西北省面临农业可持续性和水资源管理方面的挑战.
- 监测灌土地动态对于了解土地利用变化和水压至关重要.
- 气候变化和城市化正在增加对耕地和水资源的压力.
研究的目的:
- 整合遥感指数 (WRI,NDCI),LULC映射和CA-Markov建模来监测灌土地.
- 分析温度波动及其对 2016-2023 年灌需求的影响.
- 预测未来的灌土地情景,并确定农业衰退的驱动因素.
主要方法:
- 利用高分辨率 (30米) 卫星图像进行空间和时间分析.
- 应用水比指数 (WRI) 和规范差异叶绿素指数 (NDCI) 用于评估水压力和植被健康.
- 使用土地使用/土地覆盖 (LULC) 地图和蜂自动机-马尔科夫 (CA-Markov) 建模用于土地使用变化分析和预测.
主要成果:
- 灌土地 (25,732平方公里至24,322平方公里) 显著下降,城市地区扩张 (4,146平方公里至6,581平方公里).
- CA-马尔科夫模型预测,到2033年,农业将进一步损失,荒地将占主导地位,水体将缩小.
- 降低WRI值 (0.40至0.28) 和夏季气温上升 (高达35.99°C) 表示水应力和蒸发的增加.
结论:
- 制度障碍 (偏见的补贴,基础设施差) 和气候极端因素导致灌减少.
- 综合CA-Markov,WRI和温度趋势分析为适应性土地利用规划提供了一个强大的框架.
- 利益相关者参与和技术采用对于减轻气候影响和确保半干旱地区的粮食水安全至关重要.
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