Imaging spectrometry for ecological applications

International Journal of Applied Earth Observation and Geoinformation

Volumn 2001, Issue 4, 2002, Pages 305-312

  Curran, Paul J ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Ecology; Foliar biochemical concentration; Geological remote sensing; NIRS; Reflectance spectra

Indexed keywords

BIOCHEMICAL COMPOSITION; ECOLOGY; FOLIAGE; IMAGING METHOD; REMOTE SENSING; SPECTROMETRY;

EID: 14244272990     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: None     Document Type: Article

References (119)

1. Method 989.03
2. Analyses of forest foliage II: Measurement of carbon fraction and nitrogen content by end-member analysis
3. Biophysical and biochemical sources of variability in canopy reflectance
4. Spectrometry of pasture condition and biogeochemistry in the Central Amazon
5. The limits of a robust estimation of canopy biochemistry
6. An appreciation of the contribution of NIR to agriculture
7. LOCAL prediction with near infrared multi-product databases
8. Using remote sensing to reduce uncertainties in the global carbon budget: The potential of radiation acquired in middle infrared wavelengths
9. The use of middle infrared radiation to estimate the leaf area index of boreal forest
10. Near infrared spectrometric analysis of food and its achievable performance
11. Prediction of leaf chemistry by the use of visible and near infrared reflectance spectroscopy
12. Cardiovascular near-infrared imaging
13. Spectroscopy 101
14. Spectroscopy of rocks and minerals, and principles of spectroscopy
15. Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications
16. Regional mapping of carbon function by terrestrial ecosystems using the red-edge index derived from MERIS
17. Remote sensing of foliar chemistry
18. Imaging spectrometry
19. Remote sensing: Using the spatial domain
20. Imaging spectrometry: A new tool for ecology
21. Reflectance spectroscopy of fresh whole leaves for the estimation of chemical composition
22. Remote sensing the biochemical composition of a slash pine canopy
23. Estimating the biochemical concentration of leaves with reflectance spectrometry: Testing the Kokaly and Clark methodologies
24. Remote sensing from data to understanding
25. Developments in the remote sensing of forest canopy structure
26. Factors affecting the remotely sensed response of coniferous forest plantations
27. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance
28. Near infrared spectroscopy: The future waves
29. The potential for estimating chlorophyll content from a vegetation canopy using the Medium Resolution Imaging Spectrometer (MERIS)
30. The propagation of foliar biochemical absorption features in forest canopy reflectance: A theoretical analysis
31. LIBERTY - Modelling the effects of leaf biochemical concentration on reflectance spectra
32. The biochemical decomposition of slash pine needles from reflectance spectra using neural networks
33. A modelling approach for studying forest chlorophyll content
34. Seasonal variation of leaf chlorophyll content of a temperate forest. Inversion of the prospect model
35. Moving into the hyperspectral age
36. Quantitative analysis by derivative electronic spectroscopy
37. Spectroscopic quantitative analysis
38. High spectral resolution reflectance of Douglas fir grown under different fertilization treatments: Experiment design and treatment effects
39. On spectral estimates of fresh leaf biochemistry
40. Leaf optical properties with explicit description of its biochemical composition: Direct and inverse problems
41. LEAFMOD: A new within-leaf radiative transfer model
42. LCM2: A coupled leaf/canopy radiative transfer model
43. A modelling approach to assess the robustness of spectrometric predictive equations for canopy chemistry
44. An overview of chemometrics applications in near infrared spectrometry
45. Assessing leaf area and canopy biochemistry of Florida slash pine using remote sensing
46. Using near-IR reflectance spectroscopy to predict carbon, nitrogen and phosphorus content in hetergoneneous plant material
47. Remote estimation of chlorophyll content in higher plant leaves
48. Remote sensing of net primary production in boreal forest stands
49. Imaging spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)
50. Critique of stepwise multiple linear regression for the extraction of leaf biochemistry information from leaf reflectance data
51. Predicting elements in white pine and red oak foliage with visible near-infrared reflectance spectroscopy
52. Applying artificial neural networks: Part II. Using near infrared data to classify tobacco types and identify native grown tobacco
53. Clinical chemistry and near infrared spectroscopy: Technology for non-invasive glucose monitoring
54. Analysis of forest foliage spectra using a multivariate mixture model
55. PROSPECT: A model of leaf optical properties spectra
56. Estimating leaf biochemistry using the PROSPECT leaf optical properties model
57. Leaf optical properties: A state of the art
58. Estimating canopy chlorophyll concentration from field and airborne spectra
59. The use of near-infrared reflectance spectroscopy in litter decomposition studies
60. Multivariate analysis of AVIRIS data for canopy biochemical estimation along the Oregon transect
61. Spectrometric estimation of total nitrogen concentration in Douglas-fir foliage
62. Investigating a physical basis for spectroscopic estimates of leaf nitrogen concentration
63. Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression
64. Visible-infrared sensors and case studies
65. The Spectral Image Processing System (SIPS) - Interactive visualization and analysis of imaging spectrometer data
66. Decoupling the effect of the canopy and foliar biochemical concentration in AVIRIS spectra
67. Kenyan elephant feed preferences explored by near infrared spectroscopy
68. Forest ecosystem simulation modelling: The role of remote sensing
69. Estimating the stem carbon production of a coniferous forest using ecosystem simulation model driven by the remotely sensed red edge
70. Determining forest species composition using high spectral resolution remote sensing data
71. High spectral resolution remote sensing of forest canopy lignin, nitrogen and ecosystem process
72. A versatile near infrared imaging spectrometer
73. Seasonal patterns and remote spectral estimation of canopy chemistry across the Oregon transect
74. Black holes in near infrared spectroscopy
75. Kiwifruit firmness by near infrared light scattering
76. Two ways of assessing absorbance of fresh leaves from near-infrared reflectance spectroscopy
77. Studies to measure cotton fibre length, strength, micronaire and colour by vis/NIR reflectance spectroscopy. Part II: Principal components regression
78. Analyses of forest foliage I: Laboratory procedures for proximate carbon fractionation and nitrogen determination
79. Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance
80. NIRS in space?
81. Remote sensing of forest canopy leaf biochemical contents
82. Scientific issues and potential remote sensing requirements for plant biochemical content
83. Spectral features associated with nitrogen, phosphorous, and potassium deficiencies in Eucalyptus salinga seedling leaves
84. Estimating terrestrial primary productivity combining remote sensing and ecosystem simulation
85. Application of near infrared spectroscopy in the sugar industry
86. Global or local? A choice for NIR calibration in analyses of forage quality
87. The estimation of foliar biochemical content of a slash pine canopy from AVIRIS imagery
88. The signal-to-noise ratio (SNR) required for the estimation of foliar biochemical concentrations
89. Methods for estimating image signal-to-noise ratio (SNR)
90. Simultaneous determination of the main constituents of viscose spinning solutions by visible near infrared spectroscopy
91. Detection of cheese batches exposed to Clostridium tyrobutyricum spoilage by near infrared spectroscopy
92. A decade of imaging spectrometry in Canada
93. Determination of dry matter content and basic density of Norway spruce by near infrared reflectance and transmittance spectroscopy
94. Near infrared spectroscopy of dry extracts from high moisture food products on solid support - A review
95. Hyperspectral remote sensing for estimating biophysical parameters of forest ecosystems
96. Derivative analysis of hyperspectral data
97. Geobotany: Vegetation mapping for Earth sciences
98. Potentials and limitations of information extraction on the terrestrial biosphere from satellite remote sensing
99. Remote sensing and the estimation of ecosystem parameters and functions
100. Variable selection in near infrared spectroscopy based on significance testing in partial least squares regression
101. Applied spectroscopy
102. A dynamical method for calculating the near infrared spectra of molecules and macromolecules
103. Optical remote sensing techniques for the assessment of forest inventory and biophysical parameters
104. Predicting nitrogen and chlorophyll content and concentration from reflectance spectra (400-2500 nm) at leaf and canopy scales
105. Forest chemistry with high spectral resolution remote sensing