基于AquaCrop模型中缩小的遥感数据的作物监测和生物量估计 (案例研究:伊朗卡兹文平原)
Bahareh Bahmanabadi1, Abbas Kaviani2, Hadi Ramezani Etedali2
1Water Engineering Dept, Imam Khomeini International University, Qazvin, Iran. b.bahmanabadi@alumni.ut.ac.ir.
Environmental monitoring and assessment
|October 6, 2023
概括
这项研究使用融合卫星图像和作物建模准确估计了料玉米生物量. 综合方法为收获前的粮食安全监测提供了可靠的数据.
科学领域:
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
- 作物建模作物建模
背景情况:
- 粮食安全依赖于监测作物生长和预测产量.
- 准确的收获前生物质估计对于农业管理至关重要.
研究的目的:
- 通过遥感和作物建模,开发和验证用于估计料玉米生物质的综合方法.
- 评估预收前生物质预测的拟议方法的准确性.
主要方法:
- 结合卫星图像 (Landsat 8,MODIS) 来得出叶面积指数 (LAI) 的时间序列.
- 校准和实施用于作物生长模拟的AquaCrop模型.
- 应用支持矢量机 (SVM) 算法,将LAI与作物树冠 (CC) 联系起来,并预测生物质.
主要成果:
- 缩小规模的LAI与原始卫星数据相比显示过高估计,但在统计学上是显著的 (R2 > 0.95).
- 在AquaCrop模型模拟中,高准确度 (NRMSE=10%),轻微低估.
- SVM模型实现了CC的优异预测准确性 (R2 = 0.99),从而实现了高度准确的生物质估计 (R2 = 0.96).
结论:
- 综合遥感和作物建模方法可靠地估计了料玉米生物质.
- 经过验证的模型提供了一个有希望的工具,通过准确的收获前产量预测来提高粮食安全.
相关概念视频
02:16Light Acquisition
8.5K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.5K
01:57Adaptations that Reduce Water Loss
25.7K
Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
25.7K