Reflectance
Reflectance is the ratio of the radiant flux reflected from a surface to the incident radiant flux upon it, defined as a dimensionless quantity that quantifies the proportion of electromagnetic radiation, such as light, bounced back by a material.[1] For non-fluorescent materials, this ratio ranges from 0 (complete absorption) to 1 (perfect reflection), adhering to energy conservation principles.[2] In optics and physics, reflectance is wavelength-dependent and influenced by factors including the material's refractive index, extinction coefficient, angle of incidence, and surface geometry.[1] It manifests in two primary forms: specular reflectance, where light reflects mirror-like from smooth surfaces at equal angles of incidence and reflection, and diffuse reflectance, where light scatters in multiple directions from rough or irregular surfaces.[3] Advanced quantities, such as the bidirectional reflectance distribution function (BRDF), describe angular dependencies for precise modeling of scattering behavior.[2] Reflectance measurements are fundamental across scientific and engineering fields, enabling characterization of material properties in optics, such as coatings and thin films.[4] In remote sensing, spectral reflectance data from satellites like NASA's MISR instrument assess land cover, vegetation health, and Earth's albedo for climate modeling.[2] Biomedical applications use reflectance spectroscopy to detect tissue abnormalities, including ischemia and neoplasia, through non-invasive optical probes.[5] Additionally, in planetary science, it aids in analyzing surface compositions of extraterrestrial bodies via spectral signatures.[6]Fundamentals
Definition and Basic Principles
Reflectance is defined as the fraction of incident electromagnetic radiant power, or flux, that is reflected by a surface at the boundary between two media. It is a dimensionless quantity, typically denoted by ρ, and ranges from 0, indicating perfect absorption with no reflection, to 1, representing perfect reflection of all incident power. The basic equation for total reflectance is given by \rho = \frac{P_\text{reflected}}{P_\text{incident}}, where P_\text{reflected} is the reflected radiant power and P_\text{incident} is the incident radiant power. This formulation arises from conservation of energy principles in radiometry and applies to optical radiation across the electromagnetic spectrum.[7] The value of reflectance depends on several key factors, including the wavelength of the incident radiation, the polarization state of the light, the angle of incidence, and the physical and chemical properties of the surface, such as its roughness, composition, and microstructure. For instance, at interfaces involving dielectrics or metals, these dependencies lead to variations that can be described through more specialized functions, though the core concept remains the ratio of reflected to incident power. The term reflectance has been formalized in international radiometry standards, such as ISO 80000-7, which specifies quantities for light and optical radiation, including the spectral variant ρ(λ) as the ratio of reflected to incident spectral radiant flux. Early studies on reflection laws date back to Pierre Bouguer's 1729 work Essai d'optique sur la gradation de la lumière, where he conducted the first goniophotometric measurements of reflectance at varying angles of incidence for surfaces like water and glass, laying foundational principles for quantitative photometry.[7][8] Spectral reflectance curves illustrate this wavelength dependence for common materials used in mirrors. For example, evaporated aluminum coatings show high reflectance, often exceeding 90%, from the ultraviolet through the visible spectrum up to about 2 μm in the near-infrared, making it suitable for broadband applications. Silver coatings achieve even higher reflectance, typically above 95% in the visible range (400–700 nm) and extending into the near-infrared, though they oxidize more readily. In contrast, gold mirrors exhibit lower reflectance in the visible (around 40–50% at 500 nm) but increase sharply to over 98% in the mid-infrared beyond 2 μm, due to the material's electronic structure. These behaviors are critical for selecting materials in optical systems, as documented in standard reference measurements.[9][10]Reflectance versus Reflectivity
Reflectivity refers to the intrinsic property of a material to reflect radiation, defined as the reflectance of a layer thick enough that further increases in thickness do not change the value.[11] In contrast, reflectance is the measured ratio of the radiant flux reflected by a specific sample to the incident flux, incorporating effects such as sample thickness, surface imperfections, and geometry.[11] For homogeneous, thick samples, the two terms are equivalent, but they diverge for thin films or layered structures where interference and multiple internal reflections influence the overall reflection.[11] The International Commission on Illumination (CIE) formalizes this distinction in its International Lighting Vocabulary, adopting a convention where terms ending in "-ivity" (e.g., reflectivity) describe generic material properties, while those ending in "-ance" (e.g., reflectance) apply to specific samples under defined conditions of spectral composition, polarization, and geometry.[11] This usage addresses real-world measurements that account for deviations from ideal behavior, such as scattering or absorption in non-ideal surfaces.[12] Reflectivity at a dielectric interface is fundamentally determined by the Fresnel reflection coefficient. For normal incidence, the amplitude reflection coefficient r is r = \left| \frac{n_2 - n_1}{n_2 + n_1} \right| where n_1 and n_2 are the refractive indices of the incident and second medium, respectively; the corresponding power reflectivity is then R = |r|^2.[13] For a glass-air interface (n_1 \approx 1.5, n_2 = 1), this yields R \approx 4\% at normal incidence, representing the ideal single-interface reflectivity.[14] Measured reflectance for an actual glass plate, however, would be higher due to contributions from both air-glass interfaces and partial internal reflections.[15] Standards like ISO 80000-7 define reflectance within radiometric quantities as the ratio of reflected to incident radiant power or flux, emphasizing its role in light and radiation measurements.[16] The International Union of Pure and Applied Chemistry (IUPAC), in its Gold Book, equates reflectivity with reflectance, describing both as the fraction of incident radiation reflected by a surface or discontinuity.[17]Mathematical Formulations
Hemispherical Reflectance
Hemispherical reflectance, also known as hemispherical-hemispherical reflectance, is defined as the ratio of the total radiant flux reflected by a surface to the total radiant flux incident upon it from all directions within the hemisphere above the surface, assuming diffuse or integrated illumination over that hemisphere.[18][19] This quantity is dimensionless, as both fluxes are measured in watts (SI unit for radiant power), and it represents the overall reflective efficiency of a surface under broad, uniform incident light.[19] The key equation for hemispherical reflectance R is given by R = \frac{\Phi_e^r}{\Phi_e^i}, where \Phi_e^r is the total reflected radiant flux and \Phi_e^i is the total incident radiant flux.[19] This formulation assumes uniform illumination across the incident hemisphere, and for ideal conservative surfaces that do not absorb energy, R has an upper limit of 1, meaning all incident flux is reflected without loss.[18] The derivation of hemispherical reflectance involves integrating the reflected radiant power over the entire reflected hemisphere, which spans a solid angle \Omega = 2\pi steradians. Specifically, the total reflected flux \Phi_e^r is obtained by integrating the reflected radiance L_r weighted by the cosine of the polar angle and the differential solid angle: \Phi_e^r = \int_{\Omega} L_r(\theta_r, \phi_r) \cos \theta_r \, d\omega_r, normalized by the incident flux to yield R. This integration accounts for the projection of reflected light across all outgoing directions, providing a comprehensive measure for surfaces under isotropic incident conditions. In applications such as solar energy systems, hemispherical reflectance is crucial for assessing the performance of reflective surfaces in concentrating solar power (CSP) collectors, where it directly influences the efficiency of redirecting sunlight to receivers.[20] For example, typical white paints used in solar reflectors exhibit hemispherical reflectance values of 0.8 to 0.9 across visible and near-infrared wavelengths, enabling high energy capture while minimizing absorption.[21]Directional-Hemispherical Reflectance
Directional-hemispherical reflectance, denoted as \rho(\theta_i, \phi_i), is defined as the ratio of the radiant flux reflected by an opaque surface into the entire outgoing hemisphere to the radiant flux incident on the surface from a specific direction specified by polar angle \theta_i and azimuthal angle \phi_i, assuming a collimated or directional beam illumination.[7] This measure captures the total reflected energy for a given incident direction, integrating over all possible reflection directions in the hemisphere above the surface.[7] The quantity is mathematically formulated in terms of radiance as \rho(\theta_i, \phi_i) = \frac{1}{L_e^i \cos \theta_i} \int_{\Omega_r} L_e^r (\theta_r, \phi_r) \cos \theta_r \, d\Omega_r, where L_e^i is the incident radiance from direction (\theta_i, \phi_i), L_e^r (\theta_r, \phi_r) is the reflected radiance in direction (\theta_r, \phi_r), \cos \theta_i normalizes for the projected incident area, \cos \theta_r accounts for the projected reflected area, and the integral is over the reflected solid angle hemisphere \Omega_r.[7] It relates directly to the bidirectional reflectance distribution function (BRDF), f_r(\theta_i, \phi_i; \theta_r, \phi_r), through \rho(\theta_i, \phi_i) = \int_{\Omega_r} f_r (\theta_i, \phi_i; \theta_r, \phi_r) \cos \theta_r \, d\Omega_r, since the reflected radiance follows L_e^r = f_r L_e^i \cos \theta_i.[7] This integration of the BRDF over the reflection hemisphere provides a directional analog to broader reflectance metrics, emphasizing angle-specific surface response without deriving the full BRDF here.[7] The value of \rho(\theta_i, \phi_i) varies with the incident angles, depending on the material's scattering properties, and is bounded between 0 and 1 to satisfy energy conservation, with a maximum of 1 for perfectly reflecting surfaces.[7] For specular surfaces, it remains near 1 across incident directions, though the reflected flux distribution peaks sharply at the specular reflection angle, concentrating energy in a narrow lobe.[7] In remote sensing, directional-hemispherical reflectance is essential for modeling the albedo of terrestrial surfaces as viewed by satellites under specific solar illumination geometries.[22]Spectral Reflectance
Spectral reflectance describes the fraction of incident radiant flux that is reflected from a surface as a function of wavelength \lambda or frequency \nu, providing a wavelength-resolved measure essential for characterizing colored or dispersive materials where reflection properties vary across the electromagnetic spectrum.[23] This spectral dependence arises from material-specific interactions, such as absorption by electronic transitions in the visible range or scattering in the infrared, enabling precise optical analysis in fields like remote sensing and material science.[24] The spectral hemispherical reflectance, which integrates reflections over the entire outgoing hemisphere, is defined as R_\lambda(\lambda) = \frac{\Phi_{e,\lambda}^r (\lambda)}{\Phi_{e,\lambda}^i (\lambda)}, where \Phi_{e,\lambda}^r (\lambda) is the spectral reflected radiant flux and \Phi_{e,\lambda}^i (\lambda) is the spectral incident radiant flux at wavelength \lambda.[19] Similarly, the spectral directional-hemispherical reflectance accounts for incident direction and integrates over the reflection hemisphere: \rho(\theta_i, \phi_i; \lambda) = \frac{1}{L_{e,\lambda}^i(\theta_i, \phi_i) \cos \theta_i} \int_{\Omega_r} L_{e,\lambda}^r (\theta_r, \phi_r; \lambda) \cos \theta_r \, d\Omega_r, where L_{e,\lambda}^i(\theta_i, \phi_i) is the incident spectral radiance from direction (\theta_i, \phi_i), L_{e,\lambda}^r (\theta_r, \phi_r; \lambda) is the reflected spectral radiance in direction (\theta_r, \phi_r), \cos \theta_i normalizes for the projected incident area, \cos \theta_r accounts for the projected reflected area, and the integral is over the reflected hemisphere \Omega_r = 2\pi sr.[7] It relates to the spectral bidirectional reflectance distribution function (BRDF), f_{r,\lambda}(\theta_i, \phi_i; \theta_r, \phi_r; \lambda), through \rho(\theta_i, \phi_i; \lambda) = \int_{\Omega_r} f_{r,\lambda} (\theta_i, \phi_i; \theta_r, \phi_r; \lambda) \cos \theta_r \, d\Omega_r, since the reflected spectral radiance follows L_{e,\lambda}^r = f_{r,\lambda} L_{e,\lambda}^i \cos \theta_i.[7] These formulations use the subscript \lambda for per-unit-wavelength quantities; equivalent expressions apply using frequency \nu for per-unit-frequency measures.[19] Broadband or total reflectance R can be derived from spectral reflectance by integrating over the spectrum weighted by the incident light source: R = \frac{\int R_\lambda(\lambda) S(\lambda) \, d\lambda}{\int S(\lambda) \, d\lambda}, where S(\lambda) represents the spectral power distribution of the source illumination.[19] This integration is crucial for applications like color rendering, where the perceived reflectance depends on both material properties and lighting conditions.[19] Spectral reflectance reveals material-specific behaviors, such as the high near-infrared reflectance of vegetation, typically ranging from 0.5 to 0.8 in the 0.7–1.1 \mum band, attributed to light scattering by the internal mesophyll cell structure of healthy leaves.[25] This contrast with low visible reflectance enables indices like the Normalized Difference Vegetation Index (NDVI) in remote sensing, defined as NDVI = (R_{\rm NIR} - R_{\rm red}) / (R_{\rm NIR} + R_{\rm red}), to quantify vegetation density and health by exploiting spectral differences.[26] In metals, spectral variations are pronounced; for example, gold exhibits low reflectance in the ultraviolet (around 0.2–0.4) due to strong absorption but approaches near-unity reflectance (>0.95) in the infrared, stemming from free-electron behavior that enhances reflection at longer wavelengths.[27]Surface and Material Characteristics
Specular and Diffuse Reflectance
Specular reflectance occurs when light reflects from a smooth surface in a mirror-like manner, where the angle of incidence equals the angle of reflection, producing a clear image of the source.[3] This behavior is characteristic of polished or flat interfaces, such as glass or metals, and is fundamentally described by the Fresnel equations, which quantify the fraction of incident light reflected based on the refractive indices of the materials and the angle of incidence.[28] For example, at normal incidence on glass (refractive index ≈1.5) in the visible spectrum, the reflectance is approximately 4%, increasing to around 10% at grazing angles near 60 degrees.[29] In contrast, diffuse reflectance arises from surfaces with microscopic roughness that scatter incident light in many directions, rather than concentrating it in a single specular direction, resulting in no distinct image formation.[30] Ideal diffuse reflectors, known as Lambertian surfaces, exhibit radiance that is independent of the viewing angle. The radiant intensity observed from the surface follows Lambert's cosine law: the intensity I is proportional to the cosine of the angle \theta between the surface normal and the line of sight, expressed as I = I_0 \cos \theta, where I_0 is the intensity at normal incidence.[31] A representative example is matte paper, which achieves nearly uniform diffuse reflectance of about 0.8 across visible wavelengths, appearing equally bright from all angles due to this scattering.[32] Real surfaces often exhibit a transition between specular and diffuse behaviors, influenced by surface microstructure and roughness. Microfacet models treat the surface as composed of tiny mirror-like facets with varying orientations, where the overall reflectance is an average over these facets' contributions.[33] The seminal Torrance-Sparrow model, developed in 1967, incorporates a roughness parameter \sigma (the standard deviation of facet slope angles) to predict the broadening of the specular peak; as \sigma increases, the reflection shifts toward more diffuse scattering. For instance, a polished metal surface with low \sigma (e.g., <0.1 radians) shows predominantly specular reflectance exceeding 70% in the specular direction, while higher roughness values produce intermediate effects blending both components.[32]Reflectance of Liquids and Water
The reflectance of liquids, including water, primarily occurs at the air-liquid interface and is governed by the Fresnel equations, which describe the fraction of incident light reflected based on the refractive index and angle of incidence.[34] For smooth liquid surfaces, this reflection is specular, akin to principles observed in polished solids, but it is dynamically altered by fluid motion and surface perturbations.[35] In calm conditions, the reflectance of water in the visible spectrum ranges from approximately 0.02 at normal incidence to 0.1 at steeper angles, due to its refractive index of 1.33. Water exhibits particularly low surface reflectance compared to many materials, with about 2% at normal incidence arising from the modest refractive index contrast with air, though hemispherical reflectance under diffuse illumination averages around 5%.[36] Spectral variation is minimal across the visible wavelengths (400–700 nm), maintaining near-constant low values, but reflectance increases in the infrared due to higher absorption. On wind-roughened surfaces, capillary waves and larger undulations scatter light, elevating the diffuse reflectance component to up to 0.2, depending on wind speed.[37] To account for these effects, the effective reflectance is modeled as the sum of the Fresnel term for the mean interface and an additional scattering term from capillary waves:R = R_{\text{Fresnel}} + R_{\text{scattering}}
where R_{\text{Fresnel}} is the specular reflection for a flat surface, and R_{\text{scattering}} integrates contributions from wave slopes.[38] This formulation correlates with wind speed via models like Cox-Munk, which statistically distribute surface slopes (e.g., Gaussian for low winds, increasing variance with speed up to 10 m/s), enabling predictions of enhanced backscattering. In ocean color remote sensing, such adjustments correct for surface reflectance to isolate water-leaving radiance, facilitating chlorophyll detection by revealing subsurface absorption features around 443 nm.[39] A distinctive feature for water is Brewster's angle, approximately 53° from the normal, where p-polarized (parallel) reflectance drops to zero, as the reflected and refracted rays become perpendicular, eliminating reflection for that polarization.[40] This polarization selectivity is exploited in applications like glint reduction in remote sensing.[41]
Specialized Contexts
Grating Efficiency
In the context of diffraction gratings, grating efficiency generalizes the concept of reflectance to periodic structures, representing the fraction of incident optical power that is reflected into a specific diffraction order rather than a simple total reflection. This efficiency, denoted as \eta_m for the m-th order, is defined as \eta_m = \frac{P_m}{P_{\text{incident}}}, where P_m is the power diffracted into order m and P_{\text{incident}} is the incident power.[42] The angular positions of these diffracted orders are determined by the grating equation, \sin \theta_m = \sin \theta_i + m \frac{\lambda}{d}, where \theta_i is the angle of incidence, \theta_m is the diffraction angle for order m, \lambda is the wavelength, and d is the grating groove spacing.[43] This framework applies particularly to reflection gratings, where light is reflected and dispersed into multiple orders, contrasting with transmission gratings that allow light to pass through the structure. Blazed gratings, a common type of reflection grating, feature asymmetric groove profiles (often sawtooth-shaped) designed to concentrate diffracted power into a single desired order, typically the first order (m=1), achieving efficiencies of 70-90% under optimal conditions. These gratings outperform non-blazed designs by mimicking a specular reflection from the sloped facet of each groove, thereby enhancing energy transfer to the target order while minimizing losses to other orders or zero-order reflection. In contrast, transmission gratings distribute efficiency across orders more evenly but are less common in high-efficiency reflective applications due to material absorption constraints.[44] Grating efficiency is inherently polarization-dependent, with transverse electric (TE, or s-polarization) modes often exhibiting higher efficiency than transverse magnetic (TM, or p-polarization) modes, especially at oblique incidence angles common in spectroscopic setups. This dependence arises from the interaction of the electric field with the grating's periodic microstructure.[42] Reflection gratings with high efficiency are essential in spectrometers, where they enable precise wavelength dispersion for applications ranging from astronomical observations to laser spectroscopy. A notable example is the echelle grating, which operates in high orders (e.g., m > 30) to provide exceptional spectral resolution (often >10,000) over broad bandwidths, with efficiencies maintained above 50% despite the high-order operation, making it ideal for high-throughput instruments.[45]Related Radiometric Coefficients
In radiometry, reflectance is interconnected with other coefficients that describe the interaction of electromagnetic radiation with matter, providing a complete accounting of incident energy. These include absorptance, transmittance, and emissivity, which together obey conservation principles for energy balance.[46][47] Kirchhoff's law of thermal radiation states that, for an opaque body in thermal equilibrium, the emissivity ε equals the absorptance α, and both are related to reflectance ρ by ε = α = 1 - ρ at each wavelength.[48][49] This law ensures detailed balance between emission and absorption processes.[50] Absorptance α is defined as the ratio of absorbed radiant flux Φ_e^a to incident radiant flux Φ_e^i, given by α = Φ_e^a / Φ_e^i.[46][47] Transmittance τ, relevant for transparent or semi-transparent media, is the ratio of transmitted radiant flux Φ_e^t to incident flux, τ = Φ_e^t / Φ_e^i.[46][47] For opaque materials where τ = 0, conservation requires ρ + α = 1.[19][50] The following table summarizes key radiometric coefficients related to reflectance, all of which are dimensionless ratios between 0 and 1:| Coefficient | Symbol | Definition | Key Relation | Example |
|---|---|---|---|---|
| Reflectance | ρ | Reflected flux / incident flux | For opaque: ρ + α = 1 | Mirror: ρ ≈ 1, α ≈ 0 |
| Absorptance | α | Absorbed flux / incident flux | α = 1 - ρ (opaque) | Blackbody: α = 1, ρ = 0 |
| Transmittance | τ | Transmitted flux / incident flux | ρ + α + τ = 1 (non-scattering) | Clear glass: τ ≈ 0.9, ρ ≈ 0.08 |
| Emissivity | ε | Emitted flux / blackbody flux | ε = α (Kirchhoff's law) | Blackbody: ε = 1 |