首页> 外文期刊>Agricultural and Forest Meteorology >Seasonal variation of leaf area index (LAI) over paddy rice fields in NE China: Intercomparison of destructive sampling, LAI-2200, digital hemispherical photography (DHP), and AccuPAR methods
【24h】

Seasonal variation of leaf area index (LAI) over paddy rice fields in NE China: Intercomparison of destructive sampling, LAI-2200, digital hemispherical photography (DHP), and AccuPAR methods

机译:中国东北稻田叶面积指数(LAI)的季节性变化:破坏性采样,LAI-2200,数字半球摄影(DHP)和AccuPAR方法的比对

获取原文
获取原文并翻译 | 示例
           

摘要

Continuous field leaf area index (LAI) measurement has become increasingly important for the validation of remote sensing LAI products. A seasonal field campaign was carried out to take continuous LAI measurements over paddy rice fields in NE China in2012. Three indirect optical methods, LAI-2200, digital hemispherical photography (DHP), and AccuPAR, were compared with a destructive sampling method conducted concurrently. Corrections for the clumping effect were applied to the effective plant area indices (PAIeff) estimated from the indirect optical measurements.Both LAI-2200 and DHP produce consistent PAIeff estimates over the season (R2 = 0.76, RMSE = 0.97).The clumping index (CI) values obtained from DHP generally decrease with plant growth andrange between 0.63 and 0.74 during the peak growing period from day of year (DOY) 191230. The CI values retrieved from DHP photos generally decrease with increasing view angles. The optical PAI and LAI values estimated from LAI-2200 and DHP correspond very well with the destructive values before DOY 230(R2 = 0.75, RMSE = 1.15 for PAI and R2 = 0.78, RMSE = 0.74 for LAI), and the relative errors are less than 10% and 5%, respectively, for the two instruments. Omitting ring 5 for LAI-2200 generates very accurate PAI and LAI estimations during the peak season. Nevertheless, AccuPAR underestimates the PAIeff, PAI, and LAI values obtained from other methods (up to 30%). After DOY 231, the capability to detect PAI decreases significantly for both destructiveand optical methods due to the leaf senescence and the DHP classification difficulty. In general, rice PAI could be accurately estimated with LAI-2200 and DHP beforesenescence if the clumping effect could be properly taken into account. The seasonal continuous LAI measurements obtained from this study are valuable for the validation of remote sensing LAI products.
机译:连续田地叶面积指数(LAI)测量对于验证遥感LAI产品变得越来越重要。 2012年,开展了季节性田间运动,对中国东北的稻田进行了连续的LAI测量。将三种间接光学方法LAI-2200,数字半球摄影(DHP)和AccuPAR与同时进行的破坏性采样方法进行了比较。丛集效应的校正适用于间接光学测量得出的有效植物面积指数(PAIeff).LAI-2200和DHP在整个季节内均产生一致的PAIeff估计值(R2 = 0.76,RMSE = 0.97)。从DHP获得的CI)值通常会随着植物的生长而降低,并且在自一年的第一天(DOY)191230的峰值生长期间处于0.63至0.74之间。从DHP照片检索的CI值通常会随着视角的增加而降低。从LAI-2200和DHP估算的光学PAI和LAI值与DOY 230之前的破坏性值非常吻合(PAI R2 = 0.75,RMSE = 1.15,LAI R2 = 0.78,RMSE = 0.74),相对误差为两种工具分别小于10%和5%。在高峰季节,LAI-2200的省略环5会生成非常准确的PAI和LAI估算值。但是,AccuPAR低估了通过其他方法获得的PAIeff,PAI和LAI值(最高30%)。在DOY 231之后,由于叶片衰老和DHP分类困难,破坏性和光学方法检测PAI的能力均显着降低。通常,如果可以适当考虑团聚效应,则可以使用LAI-2200和DHP准确估算水稻的PAI。从这项研究中获得的季节性连续LAI测量值对于验证遥感LAI产品很有用。

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