首页> 外文期刊>Precision Agriculture >Sensitivity of leaf chlorophyll empirical estimators obtained at Sentinel-2 spectral resolution for different canopy structures
【24h】

Sensitivity of leaf chlorophyll empirical estimators obtained at Sentinel-2 spectral resolution for different canopy structures

机译:以Sentinel-2光谱分辨率获得的不同冠层结构叶片叶绿素经验估计量的敏感性

获取原文
获取原文并翻译 | 示例
           

摘要

A comparison of the sensitivity of canopy scale estimators of leaf chlorophyll, obtainable with Sentinel-2 spectral resolution, to soil, canopy and leaf mesophyll factors, was addressed. The analysis of a synthetic dataset, generated simulating the reflectance in the 1-4 LAI range of canopies for the main general classes of leaf inclination (i.e. erectophile, plagiophile, spherical, planophile and extremophile) and for different soil types was used for such a purpose. The synthetic dataset was obtained using the PROSPECT5-4SAIL model in the direct mode with a large variety of soil backgrounds. Additionally an experimental dataset including airborne hyperspectral data gathered during ESA (European Space Agency) campaigns SPARC and AGRISAR, was employed to simulate Sentinel-2 spectral and spatial resolution, to confirm model results. Analysis of the synthetic and experimental datasets indicated that: (i) the CVI (Chlorophyll Vegetation Index), relying only on visible and NIR (Near Infra-Red) bands and obtainable at 10 m spatial resolution, can be used as leaf chlorophyll estimator, at growth stages suitable for nitrogen fertilizer topdressings, for all canopy structures except for erectophile canopies; (ii) better results can be obtained by using different indices for different leaf architectures, with TCI/OSAVI (Triangular Chlorophyll Index/Optimized Soil Adjusted Vegetation Index) performing better for erectophile canopies, whereas MTCI (MERIS Terrestrial Chlorophyll Index) provides better results for planophile canopies, despite the fact that these indices require bands obtainable at 20 m spatial resolution from Sentinel-2 data.
机译:提出了通过Sentinel-2光谱分辨率获得的叶绿素冠层尺度估计量对土壤,冠层和叶肉元素的敏感性的比较。对合成的数据集进行了分析,模拟了主要的一般叶片倾斜度类别(即,直立亲缘性,嗜生性,球形,嗜疏性和极端嗜热性)以及针对不同土壤类型的冠层在1-4 LAI范围内的反射率。目的。使用PROSPECT5-4SAIL模型以多种土壤背景的直接模式获得合成数据集。此外,还使用了一个实验数据集,包括在ESA(欧洲航天局)的SPARC和AGRISAR活动中收集的机载高光谱数据,以模拟Sentinel-2的光谱和空间分辨率,以确认模型结果。对合成和实验数据集的分析表明:(i)仅依靠可见和NIR(近红外)波段且可在10 m空间分辨率下获得的CVI(叶绿素植被指数)可用作叶绿素估计量,在适合氮肥追肥的生长期,除直立生物冠层外的所有冠层结构; (ii)对于不同的叶片结构,通过使用不同的指数可以获得更好的结果,其中TCI / OSAVI(三角叶绿素指数/优化的土壤调整植被指数)对亲核性冠层的表现更好,而MTCI(MERIS陆地叶绿素指数)为更好的结果。尽管这些指数需要从Sentinel-2数据以20 m空间分辨率获得的条带这一事实,但亲蝇科冠层仍然存在。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号