spectral reflectance of water
Hunter, P.D. ; Haramoto, E.; Trice, M.; Kana, T.M. To further investigate the contribution of the reflectance data at NIR and SWIR regions for predicting SWP, we repeated the SVR modeling by incrementally adding reflectance data for the NIR and SWIR region to an initial visible region data set. ; Sathyendranath, S.; Caverhill, C.M. Initial electrical conductivity (EC) was measured in this solution. Small Bodies, Solar Systems Estuaries 2001 24, 875-883. Hence, clear water … and Paleomagnetism, History of , The spectrum of ice is similar to that of liquid water, with peak maxima at 3400 cm−1 (2.941 μm), 3220 cm−1 (3.105 μm) and 1620 cm−1 (6.17 μm), In both liquid water and ice clusters, low-frequency vibrations occur, which involve the stretching (TS) or bending (TB) of intermolecular hydrogen bonds (O–H•••O). The South Pole Telescope was constructed in Antarctica in part because the elevation and low temperatures there mean there is very little water vapor in the atmosphere. Similarly, the wavelength regions of 1,412, 1,978, 2,004, and 2,401 nm have been identified as sensitive bands with changes in RWC (Carter, 1991). In: Miroslaw Jonasz , Top. Bands at wavelengths λ = 50-55 μm or 182-200 cm−1 (44 μm, 227 cm−1 in ice) have been attributed to TS, intermolecular stretch, and 200 μm or 50 cm−1 (166 μm, 60 cm−1 in ice), to TB, intermolecular bend.  It is also an important factor in multispectral imaging and hyperspectral imaging used in remote sensing because water vapor absorbs radiation differently in different spectral bands. In addition, NDWSI1 was also strongly correlated with existing water stress SVIs such as negative correlation with NDWI (r = −0.82), PRI2 (r = −0.79) and positive correlation with WI (r = 0.77). Very weak light absorption, in the visible region, by liquid water has been measured using an integrating cavity absorption meter (ICAM). A tensiometer is generally used for measuring SWP (Or, 2001) although it has the limitation to measure SWP in the range of 0 to −90 kPa (Marshall, 1959; Peck & Rabbidge, 1966; Whalley et al., 2013), which is inadequate for many soil‐plant‐water relation studies (Peck & Rabbidge, 1966; Vaz et al., 2013). Deep Sea Res 1988 35, 855-879 . Zygielbaum et al. A total of 780 canopy reflectance spectra were collected over the two rice growing seasons out of which 72 spectra were collected immediately before the irrigation water was applied to remove water stress treatment. 2007 978-0-9780628-0-4, Differential optical absorption spectroscopy, "Infrared Intensities of Liquids XX: The Intensity of the OH Stretching Band of Liquid Water Revisited, and the Best Current Values of the Optical Constants of H2O(l) at 25°C between 15,000 and 1 cm, "Spectroscopy of Atmospheric Gases (spectral databases)", "Optical constants of ice from the ultraviolet to the microwave", "Optical constants of ice from the ultraviolet to the microwave: A revised compilation", "Current updates of the water-vapor line list in HITRAN: A new, "Application of radiative transfer models to moisture content estimation and burned land mapping", "Relationship of leaf spectral reflectance to chloroplast water content determined using NMR microscopy", "The climatic effects of water vapour - physicsworld.com", "South Pole Telescope: South Pole : Why is the telescope at the South Pole? Typically, a tensiometer is used to measure SWP. 2007 978-0-9780628-0-4, Data of Pope RM and Fry 1997 and of Kou L et al. In: Miroslaw Jonasz , Top. Within the spectral indicators (the whole correlation matrix not shown), NDWSI1 shows strong positive correlation with the NDWSI2 (r = 0.99) and NDWSI3 (r = 0.87) and strong negative correlations with NDWSI4 (r = −0.93) and NDWSI5 (r =− 0.99). Exploring the relationship between vegetation spectra and eco-geo-environmental conditions in karst region, Southwest China. ; Dickey, T.; Lewis, M. Toward a global ocean system for measurements of optical properties using remote sensing and in situ observations. For example, Vereecken et al. Strong correlation between LAI and remotely sensed microwave data was exploited for assessing available water capacity of soils in their study. 509.332.5600. For example, Zhang et al. 4(1): 1-9, 1Biology Department/PEARL, Morgan State University, Baltimore, MD 21251, USA, 2NOAA/Center for Coastal Monitoring & Assessment, Silver Spring, MD 20910, USA. EUROPE firstname.lastname@example.org METER Food: +49 89 12 66 52 36 METER Environment: +49 89 12 66 52 0 ® Home / METER Environment / Products / Spectral Reflectance Sensor. Crop water stress is commonly characterized in terms of plant response parameters such as relative water contents (RWC), electrolyte leakage (EL), proline contents, enzyme activity, etc. Standard Methods for the Examination of Water and Wastewater, 17th edition, American Public Health Association, Washington D.C., 1989; 1527 p. DallâOlmo, G.; Gitelson, A.A.; Rundquist, D.C.; Leavitt, B.; Barrow, T.; Holz, J.C. Assessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands. The increase in reflectance values over the entire visible to SWIR region with intense water stress may have been caused by the loss of water and pigments, greater scattering effects, and exposed soil surface because of the decrease in the LAI with stress. Rice seedlings of 28 and 18 days durations were transplanted in the puddled plots in the year 2014–2015 and 2015–2016, respectively. For instance, Singh et al. With the DRS approaches used already in assessing parameters influencing water regime in soils and crops, the main objective of this study was to develop a DRS‐based approach for estimating SWP directly from the measurements of spectral reflectance from a rice crop subjected to varied levels of water stress. Recently, Babaeian et al. 27-79. As is shown in Figure 1, two to three alternate wetting and drying cycles each with durations of 5–6 days were observed in T1 whereas only a single stress cycle extending almost for a month was observed for T5. Geophysics, Marine Therefore, the VNIR spectra are extensively used for retrieving crop water stress parameters (Aldakheel & Danson, 1997; Ceccato et al., 2001; Cheng et al., 2011; Peñuelas et al., 1993, 1997; Ustin et al., 2012; Zygielbaum et al., 2009). Working off-campus? The duration of stress period for each of these treatments varied with the extent of desired stress, the frequency, and the amount of rainfall received during the stress period, variety, and the resulting soil water regime. Spectral models for SWP were developed using partial‐least‐squares regression (PLSR), support vector regression (SVR), and coupled PLSR and feature selection (PLSRFS) approaches. , Water vapor is a greenhouse gas in the Earth's atmosphere, responsible for 70% of the known absorption of incoming sunlight, particularly in the infrared region, and about 60% of the atmospheric absorption of thermal radiation by the Earth known as the greenhouse effect.
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