Comparison of two methods for estimation of leaf total chlorophyll content using remote sensing in wheat

doi:10.1016/j.fcr.2012.06.017

CORC > 中国农业科学院 > 作物科学研究所

	Comparison of two methods for estimation of leaf total chlorophyll content using remote sensing in wheat
	Jin, Xiu-liang 1,2; Wang, Ke-ru 1,3; Xiao, Chun-hua 3; Diao, Wan-ying 3; Wang, Fang-yong 4; Chen, Bing 4; Li, Shao-kun 1,3
刊名	FIELD CROPS RESEARCH
	2012
卷号	135 页码:24-29
关键词	Leaf total chlorophyll content Stepwise regression methods Spectral parameters Biomass dry weight
ISSN号	0378-4290
DOI	10.1016/j.fcr.2012.06.017
通讯作者	Jin, Xiu-liang
英文摘要	Leaf total chlorophyll content (LTCC) is an important indicator for assessment of crop health and prediction of crop yield. The objective of this study was to develop a precise agricultural practice that could estimate wheat LTCC. In this study, we compared two methods of LTCC estimation: one method used the products of spectral parameters and biomass dry weight (BOW), and the other method used stepwise regression methods (SRM). We selected the highest determination coefficient (R-2) simulation model to improve prediction accuracy. The results showed that for the mND705 x BOW index, the R-2 was 0.9639 and the root mean square error (RMSE) was 0.202 g/m(2). For the 3.575Red edge model-1.118PSSRb index, the R-2 was 0.868 and RMSE was 0.384 g/m(2). The mND705 x BDW index accounted for 96.39% of LTCC, while the 3.575Red edge model-1.118PSSRb accounted for 86.8% of LTCC. Further, the RMSE of mND705 x BDW was lower than that of 3.575Red edge model-1.118PSSRb for predicting LTCC. The results indicated that the spectral parameters x BOW methods, in which spectral parameters defection was improved, was superior to SRM. (C) 2012 Elsevier B.V. All rights reserved.
学科主题	Agronomy ; AGRONOMY
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000308272200004
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/5138]
专题	作物科学研究所
作者单位	1.Chinese Acad Agr Sci, Inst Crop Sci, Key Lab Crop Physiol & Prod, Minist Agr, Beijing 100081, Peoples R China 2.Yangzhou Univ, Key Lab Crop Genet & Physiol Jiangsu Prov, Yangzhou 225009, Peoples R China 3.Key Lab Oasis Ecol Agr Xinjiang Construct Crops, Shihezi 832003, Peoples R China 4.Xinjiang Acad Agr Reclamat Sci, Inst Cotton, Shihezi 832000, Peoples R China
推荐引用方式 GB/T 7714	Jin, Xiu-liang,Wang, Ke-ru,Xiao, Chun-hua,et al. Comparison of two methods for estimation of leaf total chlorophyll content using remote sensing in wheat[J]. FIELD CROPS RESEARCH,2012,135:24-29.
APA	Jin, Xiu-liang.,Wang, Ke-ru.,Xiao, Chun-hua.,Diao, Wan-ying.,Wang, Fang-yong.,...&Li, Shao-kun.(2012).Comparison of two methods for estimation of leaf total chlorophyll content using remote sensing in wheat.FIELD CROPS RESEARCH,135,24-29.
MLA	Jin, Xiu-liang,et al."Comparison of two methods for estimation of leaf total chlorophyll content using remote sensing in wheat".FIELD CROPS RESEARCH 135(2012):24-29.