284 related articles for article (PubMed ID: 27801818)
1. Comparison of Reflectance Measurements Acquired with a Contact Probe and an Integration Sphere: Implications for the Spectral Properties of Vegetation at a Leaf Level.
Potůčková M; Červená L; Kupková L; Lhotáková Z; Lukeš P; Hanuš J; Novotný J; Albrechtová J
Sensors (Basel); 2016 Oct; 16(11):. PubMed ID: 27801818
[TBL] [Abstract][Full Text] [Related]
2. The Effect of Leaf Stacking on Leaf Reflectance and Vegetation Indices Measured by Contact Probe during the Season.
Neuwirthová E; Lhotáková Z; Albrechtová J
Sensors (Basel); 2017 May; 17(6):. PubMed ID: 28538685
[TBL] [Abstract][Full Text] [Related]
3. Leaf and canopy reflectance spectrometry applied to the estimation of angular leaf spot disease severity of common bean crops.
Martínez-Martínez V; Gomez-Gil J; Machado ML; Pinto FAC
PLoS One; 2018; 13(4):e0196072. PubMed ID: 29698420
[TBL] [Abstract][Full Text] [Related]
4. Relationship between leaf optical properties, chlorophyll fluorescence and pigment changes in senescing Acer saccharum leaves.
Junker LV; Ensminger I
Tree Physiol; 2016 Jun; 36(6):694-711. PubMed ID: 26928514
[TBL] [Abstract][Full Text] [Related]
5. Response of green reflectance continuum removal index to the xanthophyll de-epoxidation cycle in Norway spruce needles.
Kovác D; Malenovský Z; Urban O; Špunda V; Kalina J; Ač A; Kaplan V; Hanuš J
J Exp Bot; 2013 Apr; 64(7):1817-27. PubMed ID: 23564955
[TBL] [Abstract][Full Text] [Related]
6. Reflectance of Alaskan black spruce and white spruce foliage in relation to elevation and latitude.
Richardson AD; Berlyn GP; Duigan SP
Tree Physiol; 2003 Jun; 23(8):537-44. PubMed ID: 12730045
[TBL] [Abstract][Full Text] [Related]
7. Chlorophyll content in eucalypt vegetation at the leaf and canopy scales as derived from high resolution spectral data.
Coops NC; Stone C; Culvenor DS; Chisholm LA; Merton RN
Tree Physiol; 2003 Jan; 23(1):23-31. PubMed ID: 12511301
[TBL] [Abstract][Full Text] [Related]
8. Accurate measurement of optical properties of narrow leaves and conifer needles with a typical integrating sphere and spectroradiometer.
Noda HM; Motohka T; Murakami K; Muraoka H; Nasahara KN
Plant Cell Environ; 2013 Oct; 36(10):1903-9. PubMed ID: 23509914
[TBL] [Abstract][Full Text] [Related]
9. A random forest model for the classification of wheat and rye leaf rust symptoms based on pure spectra at leaf scale.
Wójtowicz A; Piekarczyk J; Czernecki B; Ratajkiewicz H
J Photochem Photobiol B; 2021 Oct; 223():112278. PubMed ID: 34416475
[TBL] [Abstract][Full Text] [Related]
10. [Analysis of spectral response of vegetation leaf biochemical components].
Sun L; Cheng LJ
Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Nov; 30(11):3031-5. PubMed ID: 21284178
[TBL] [Abstract][Full Text] [Related]
11. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves.
Gitelson AA; Gritz Y; Merzlyak MN
J Plant Physiol; 2003 Mar; 160(3):271-82. PubMed ID: 12749084
[TBL] [Abstract][Full Text] [Related]
12. Contribution of chlorophyll fluorescence to the apparent vegetation reflectance.
Campbell PK; Middleton EM; Corp LA; Kim MS
Sci Total Environ; 2008 Oct; 404(2-3):433-9. PubMed ID: 18164750
[TBL] [Abstract][Full Text] [Related]
13. [Dual NDVI Ratio Vegetation Index: A Kind of Vegetation Index Assessing Leaf Carotenoid Content Based on Leaf Optical Properties Model].
Wang H; Shi R; Liu PD; Gao W
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Jul; 36(7):2189-94. PubMed ID: 30035980
[TBL] [Abstract][Full Text] [Related]
14. Spectral reflectance of Picea rubens (Pinaceae) and Abies balsamea (Pinaceae) needles along an elevational gradient, Mt. Moosilauke, New Hampshire, USA.
Richardson AD; Berlyn GP; Gregoire TG
Am J Bot; 2001 Apr; 88(4):667-76. PubMed ID: 11302853
[TBL] [Abstract][Full Text] [Related]
15. An extended PROSPECT: Advance in the leaf optical properties model separating total chlorophylls into chlorophyll a and b.
Zhang Y; Huang J; Wang F; Blackburn GA; Zhang HK; Wang X; Wei C; Zhang K; Wei C
Sci Rep; 2017 Jul; 7(1):6429. PubMed ID: 28743986
[TBL] [Abstract][Full Text] [Related]
16. A dataset composed of multiangular spectral libraries and auxiliary data at tree, leaf, needle, and bark level for three common European tree species.
Hovi A; Forsström PR; Ghielmetti G; Schaepman ME; Rautiainen M
Data Brief; 2021 Apr; 35():106820. PubMed ID: 33659587
[TBL] [Abstract][Full Text] [Related]
17. Estimation of the leaf chlorophyll content using multiangular spectral reflectance factor.
Li W; Sun Z; Lu S; Omasa K
Plant Cell Environ; 2019 Nov; 42(11):3152-3165. PubMed ID: 31256442
[TBL] [Abstract][Full Text] [Related]
18. New vegetation indices for remote measurement of chlorophylls based on leaf directional reflectance spectra.
Maccioni A; Agati G; Mazzinghi P
J Photochem Photobiol B; 2001 Aug; 61(1-2):52-61. PubMed ID: 11485848
[TBL] [Abstract][Full Text] [Related]
19. Biophotonic in situ sensor for plant leaves.
Conejo E; Frangi JP; de Rosny G
Appl Opt; 2010 Apr; 49(10):1687-97. PubMed ID: 20357848
[TBL] [Abstract][Full Text] [Related]
20. [Estimation models for vegetation water content at both leaf and canopy levels].
Shen Y; Niu Z; Yan C
Ying Yong Sheng Tai Xue Bao; 2005 Jul; 16(7):1218-23. PubMed ID: 16252855
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
