000			03803nab|a22004217a|4500
999			_c62727 _d62719
001			62727
003			MX-TxCIM
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008			200423s2020||||xxk|||p|op||||00||0|eng|d
022			_a2045-2322
024	8		_ahttps://doi.org/10.1038/s41598-020-57750-z
040			_aMX-TxCIM
041			_aeng
100	0		_aChang-Wei Tan _916467
245	1	0	_aQuantitative monitoring of leaf area index in wheat of different plant types by integrating NDVI and Beer-Lambert law
260			_aLondon (United Kingdom) : _bNature Publishing Group, _c2020.
500			_aPeer review
500			_aOpen Access
520			_aNormalized difference vegetation index (NDVI) is one of the most important vegetation indices in crop remote sensing. It features a simple, fast, and non-destructive method and has been widely used in remote monitoring of crop growing status. Beer-Lambert law is widely used in calculating crop leaf area index (LAI), however, it is time-consuming detection and low in output. Our objective was to improve the accuracy of monitoring LAI through remote sensing by integrating NDVI and Beer-Lambert law. In this study, the Beer-Lambert law was firstly modified to construct a monitoring model with NDVI as the independent variable. Secondly, experimental data of wheat from different years and various plant types (erectophile, planophile and middle types) was used to validate the modified model. The results showed that at 130 DAS (days after sowing), the differences in NDVI, leaf area index (LAI) and extinction coefficient (k) of the three plant types with significantly different leaf orientation values (LOVs) reached the maximum. The NDVI of the planophile-type wheat reached saturation earlier than that of the middle and erectophile types. The undetermined parameters of the model (LAI = −ln (a1 × NDVI + b1)/(a2 × NDVI + b2)) were related to the plant type of wheat. For the erectophile-type cultivars (LOV ≥ 60°), the parameters for the modified model were, a1 = 0.306, a2 = −0.534, b1 = −0.065, and b2 = 0.541. For the middle-type cultivars (30° < LOV < 60°), the parameters were, a1 = 0.392, a2 = −0.881, b1 = 0.028, and b2 = 0.845. And for the planophile-type cultivars (LOV ≤ 30°), those parameters were, a1 = 0.596, a2 = −1.306, b1 = 0.014, and b2 = 1.130. Verification proved that the modified model based on integrating NDVI and Beer-Lambert law was better than Beer-Lambert law model only or NDVI-LAI direct model only. It was feasible to quantitatively monitor the LAI of different plant-type wheat by integrating NDVI and Beer-Lambert law, especially for erectophile-type wheat (R2 = 0.905, RMSE = 0.36, RE = 0.10). The monitoring model proposed in this study can accurately reflect the dynamic changes of plant canopy structure parameters, and provides a novel method for determining plant LAI.
546			_aText in English
650		7	_2AGROVOC _915816 _aNormalized difference vegetation index
650		0	_aLeaf area index _gAGROVOC _98953
650		7	_aWheat _gAGROVOC _2 _91310
650		7	_2AGROVOC _91986 _aRemote sensing
650		7	_2AGROVOC _93995 _aAgroecology
700	0		_aPeng-Peng Zhang _916468
700	0		_aXin-Xing Zhou _916469
700	0		_aZhi-Xiang Wang _916470
700	0		_aZi-Qiang Xu _916471
700	0		_aWei Mao _916472
700	0		_aWen-Xi Li _916473
700	0		_aZhong-Yang Huo _916474
700	0		_aWen-Shan Guo _916475
700	0		_aFei Yun _916476
773	0		_tNature Scientific Reports _gv. 10, art. 929 _dLondon (United Kingdom) : Nature Publishing Group, 2020. _x2045-2322 _wa58025
856	4		_yClick here to access online _uhttps://doi.org/10.1038/s41598-020-57750-z
942			_cJA _n0 _2ddc