284 related articles for article (PubMed ID: 27801818)
21. Changes in foliar spectral reflectance and chlorophyll fluorescence of four temperate species following branch cutting.
Richardson AD; Berlyn GP
Tree Physiol; 2002 May; 22(7):499-506. PubMed ID: 11986053
[TBL] [Abstract][Full Text] [Related]
22. Estimation of leaf traits from reflectance measurements: comparison between methods based on vegetation indices and several versions of the PROSPECT model.
Jiang J; Comar A; Burger P; Bancal P; Weiss M; Baret F
Plant Methods; 2018; 14():23. PubMed ID: 29581726
[TBL] [Abstract][Full Text] [Related]
23. [The Study of the Spectral Model for Estimating Pigment Contents of Tobacco Leaves in Field].
Ren X; Lao CL; Xu ZL; Jin Y; Guo Y; Li JH; Yang YH
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jun; 35(6):1654-9. PubMed ID: 26601385
[TBL] [Abstract][Full Text] [Related]
24. Patterns of leaf biochemical and structural properties of cerrado life forms: implications for remote sensing.
Ball A; Sanchez-Azofeifa A; Portillo-Quintero C; Rivard B; Castro-Contreras S; Fernandes G
PLoS One; 2015; 10(2):e0117659. PubMed ID: 25692675
[TBL] [Abstract][Full Text] [Related]
25. Evaluating potential of leaf reflectance spectra to monitor plant genetic variation.
Li C; Czyż EA; Halitschke R; Baldwin IT; Schaepman ME; Schuman MC
Plant Methods; 2023 Oct; 19(1):108. PubMed ID: 37833725
[TBL] [Abstract][Full Text] [Related]
26. Spectral response of cotton aphid- (Homoptera: Aphididae) and spider mite- (Acari: Tetranychidae) infested cotton: controlled studies.
Reisig D; Godfrey L
Environ Entomol; 2007 Dec; 36(6):1466-74. PubMed ID: 18284775
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. [Soil taxonomy on the basis of reflectance spectral characteristics].
Liu HJ; Zhang B; Zhang YZ; Song KS; Wang ZM; Li F; Hu MG
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Mar; 28(3):624-8. PubMed ID: 18536428
[TBL] [Abstract][Full Text] [Related]
29. [Simulation of Needle Reflectance Spectrum and Sensitivity Analysis of Biochemical Parameters of Pinus Yunnanensis in Different Healthy Status].
Lin QN; Huang HG; Chen L; Yu LF; Huang K
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Aug; 36(8):2538-45. PubMed ID: 30074360
[TBL] [Abstract][Full Text] [Related]
30. Comparing vegetation indices for remote chlorophyll measurement of white poplar and Chinese elm leaves with different adaxial and abaxial surfaces.
Lu S; Lu X; Zhao W; Liu Y; Wang Z; Omasa K
J Exp Bot; 2015 Sep; 66(18):5625-37. PubMed ID: 26034132
[TBL] [Abstract][Full Text] [Related]
31. [Study of photosynthetic characteristics of transgenic barley based on reflectance of single leaf].
Sun CX; Yuan F; Zhang YL; Chen ZH; Chen LJ; Wu ZJ
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Jan; 32(1):204-8. PubMed ID: 22497160
[TBL] [Abstract][Full Text] [Related]
32. Hyperspectral leaf reflectance of Carpinus betulus L. saplings for urban air quality estimation.
Brackx M; Van Wittenberghe S; Verhelst J; Scheunders P; Samson R
Environ Pollut; 2017 Jan; 220(Pt A):159-167. PubMed ID: 27720547
[TBL] [Abstract][Full Text] [Related]
33. Predicting leaf gravimetric water content from foliar reflectance across a range of plant species using continuous wavelet analysis.
Cheng T; Rivard B; Sánchez-Azofeifa AG; Féret JB; Jacquemoud S; Ustin SL
J Plant Physiol; 2012 Aug; 169(12):1134-42. PubMed ID: 22608180
[TBL] [Abstract][Full Text] [Related]
34. Estimation of plant water content by spectral absorption features centered at 1,450 nm and 1,940 nm regions.
Wang J; Xu R; Yang S
Environ Monit Assess; 2009 Oct; 157(1-4):459-69. PubMed ID: 18853268
[TBL] [Abstract][Full Text] [Related]
35. Non-invasive quantification of foliar pigments: Possibilities and limitations of reflectance- and absorbance-based approaches.
Gitelson A; Solovchenko A
J Photochem Photobiol B; 2018 Jan; 178():537-544. PubMed ID: 29247926
[TBL] [Abstract][Full Text] [Related]
36. A robust vegetation index for remotely assessing chlorophyll content of dorsiventral leaves across several species in different seasons.
Lu S; Lu F; You W; Wang Z; Liu Y; Omasa K
Plant Methods; 2018; 14():15. PubMed ID: 29449875
[TBL] [Abstract][Full Text] [Related]
37. Detection of Stress in Cotton (Gossypium hirsutum L.) Caused by Aphids Using Leaf Level Hyperspectral Measurements.
Chen T; Zeng R; Guo W; Hou X; Lan Y; Zhang L
Sensors (Basel); 2018 Aug; 18(9):. PubMed ID: 30149592
[No Abstract] [Full Text] [Related]
38. Non-destructive estimation of foliar carotenoid content of tree species using merged vegetation indices.
Fassnacht FE; Stenzel S; Gitelson AA
J Plant Physiol; 2015 Mar; 176():210-7. PubMed ID: 25512167
[TBL] [Abstract][Full Text] [Related]
39. [Chlorophyll content nondestructive measurement method based on Vis/NIR spectroscopy].
Li QB; Huang YW; Zhang GJ; Zhang QX; Li X; Wu JG
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Dec; 29(12):3275-8. PubMed ID: 20210149
[TBL] [Abstract][Full Text] [Related]
40. A theoretical analysis of the influence of heterogeneity in chlorophyll distribution on leaf reflectance.
Barton CV
Tree Physiol; 2001 Aug; 21(12-13):789-95. PubMed ID: 11498326
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]