140 related articles for article (PubMed ID: 35498698)
1. Biangular-Combined Vegetation Indices to Improve the Estimation of Canopy Chlorophyll Content in Wheat Using Multi-Angle Experimental and Simulated Spectral Data.
Kong W; Huang W; Ma L; Li C; Tang L; Guo J; Zhou X; Casa R
Front Plant Sci; 2022; 13():866301. PubMed ID: 35498698
[TBL] [Abstract][Full Text] [Related]
2. Off-Nadir Hyperspectral Sensing for Estimation of Vertical Profile of Leaf Chlorophyll Content within Wheat Canopies.
Kong W; Huang W; Casa R; Zhou X; Ye H; Dong Y
Sensors (Basel); 2017 Nov; 17(12):. PubMed ID: 29168757
[TBL] [Abstract][Full Text] [Related]
3. A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages.
Yue J; Feng H; Tian Q; Zhou C
Plant Methods; 2020; 16():104. PubMed ID: 32765637
[TBL] [Abstract][Full Text] [Related]
4. Remotely Estimating Aerial N Uptake in Winter Wheat Using Red-Edge Area Index From Multi-Angular Hyperspectral Data.
Guo BB; Zhu YJ; Feng W; He L; Wu YP; Zhou Y; Ren XX; Ma Y
Front Plant Sci; 2018; 9():675. PubMed ID: 29887871
[TBL] [Abstract][Full Text] [Related]
5. Estimation of Corn Canopy Chlorophyll Content Using Derivative Spectra in the O
Zhang X; He Y; Wang C; Xu F; Li X; Tan C; Chen D; Wang G; Shi L
Front Plant Sci; 2019; 10():1047. PubMed ID: 31507626
[TBL] [Abstract][Full Text] [Related]
6. [Research on Accuracy and Stability of Inversing Vegetation Chlorophyll Content by Spectral Index Method].
Jiang HL; Yang H; Chen XP; Wang SD; Li XK; Liu K; Cen Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Apr; 35(4):975-81. PubMed ID: 26197586
[TBL] [Abstract][Full Text] [Related]
7. Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery.
Lu N; Wang W; Zhang Q; Li D; Yao X; Tian Y; Zhu Y; Cao W; Baret F; Liu S; Cheng T
Front Plant Sci; 2019; 10():1601. PubMed ID: 31921250
[TBL] [Abstract][Full Text] [Related]
8. Estimations of Water Use Efficiency in Winter Wheat Based on Multi-Angle Remote Sensing.
Zhang HY; Liu MR; Feng ZH; Song L; Li X; Liu WD; Wang CY; Feng W
Front Plant Sci; 2021; 12():614417. PubMed ID: 33859658
[TBL] [Abstract][Full Text] [Related]
9. Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation.
Inoue Y; Guérif M; Baret F; Skidmore A; Gitelson A; Schlerf M; Darvishzadeh R; Olioso A
Plant Cell Environ; 2016 Dec; 39(12):2609-2623. PubMed ID: 27650474
[TBL] [Abstract][Full Text] [Related]
10. Comparing methods for estimating leaf area index by multi-angular remote sensing in winter wheat.
He L; Ren X; Wang Y; Liu B; Zhang H; Liu W; Feng W; Guo T
Sci Rep; 2020 Aug; 10(1):13943. PubMed ID: 32811882
[TBL] [Abstract][Full Text] [Related]
11. Tracking plant physiological properties from multi-angular tower-based remote sensing.
Hilker T; Gitelson A; Coops NC; Hall FG; Black TA
Oecologia; 2011 Apr; 165(4):865-76. PubMed ID: 21221647
[TBL] [Abstract][Full Text] [Related]
12. [Assessment of chlorophyll content using a new vegetation index based on multi-angular hyperspectral image data].
Liao QH; Zhang DY; Wang JH; Yang GJ; Yang H; Coburn C; Wong Z; Wang DC
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Jun; 34(6):1599-604. PubMed ID: 25358171
[TBL] [Abstract][Full Text] [Related]
13. Assessing the Spectral Properties of Sunlit and Shaded Components in Rice Canopies with Near-Ground Imaging Spectroscopy Data.
Zhou K; Deng X; Yao X; Tian Y; Cao W; Zhu Y; Ustin SL; Cheng T
Sensors (Basel); 2017 Mar; 17(3):. PubMed ID: 28335375
[TBL] [Abstract][Full Text] [Related]
14. Scaling photosynthetic function and CO
Campbell P; Middleton E; Huemmrich K; Ward L; Julitta T; Yang P; van der Tol C; Daughtry C; Russ A; Alfieri J; Kustas W
Data Brief; 2021 Dec; 39():107600. PubMed ID: 34901341
[TBL] [Abstract][Full Text] [Related]
15. Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing.
Yue J; Guo W; Yang G; Zhou C; Feng H; Qiao H
Plant Methods; 2021 May; 17(1):51. PubMed ID: 34001195
[TBL] [Abstract][Full Text] [Related]
16. [Estimation of canopy chlorophyll content using hyperspectral data].
Dong JJ; Wang L; Niu Z
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Nov; 29(11):3003-6. PubMed ID: 20101973
[TBL] [Abstract][Full Text] [Related]
17. Canopy Vegetation Indices from
Feng W; Qi S; Heng Y; Zhou Y; Wu Y; Liu W; He L; Li X
Front Plant Sci; 2017; 8():1219. PubMed ID: 28751904
[TBL] [Abstract][Full Text] [Related]
18. Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment.
Gao L; Darvishzadeh R; Somers B; Johnson BA; Wang Y; Verrelst J; Wang X; Atzberger C
Agric For Meteorol; 2022 Nov; 326():. PubMed ID: 36643993
[TBL] [Abstract][Full Text] [Related]
19. Prediction of vertical distribution of SPAD values within maize canopy based on unmanned aerial vehicles multispectral imagery.
Chen B; Huang G; Lu X; Gu S; Wen W; Wang G; Chang W; Guo X; Zhao C
Front Plant Sci; 2023; 14():1253536. PubMed ID: 38192698
[TBL] [Abstract][Full Text] [Related]
20. Vegetation stress detection through chlorophyll a + b estimation and fluorescence effects on hyperspectral imagery.
Zarco-Tejada PJ; Miller JR; Mohammed GH; Noland TL; Sampson PH
J Environ Qual; 2002; 31(5):1433-41. PubMed ID: 12371159
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]