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The accurate assessment of chlorophyll-a concentration in turbid coastal waters by means of remote sensing is quite challenging. In this study, a semi-analytical approach is used to analyze the mathematical relationship between chlorophyll-a concentration and remote sensing reflectance. Through evaluation by field measurements, it is shown that our model produces 31.4% uncertainty in quantifying chlorophyll-a...
Laser pulses of LiDAR are able to penetrate forest canopy and characterize the vertical structure distribution. Forest canopy cover (CC) can be estimated from normalized point cloud (NPC) and canopy height model (CHM). Unmanned aerial system (UAS) LiDAR usually transmits laser pulses with wider scan angles, which would decrease the probability of penetrating through canopy and lead to overestimate...
The Sentinel-2A (S2A) Multi-Spectral Imager (MSI) is a new remote sensor launched on 23 June 2015 that provides unprecedented Earth observation with high spatial, spectral and temporal resolutions. It has high potential for chlorophyll content estimation. Chlorophyll content plays a crucial role in plant photosynthesis affecting the terrestrial carbon cycle. In this research, a physical retrieval...
We developed a 1-D model (the PLC-P model) for modeling canopy reflectance over sloping terrain. The effects of sloping terrain on single-order and diffuse scattering are accounted for by path length correction (PLC) and the P theory, respectively. Currently, we have developed the prototype of PLC-P model, in which only the sloping effects on the single-order are accounted for through path length...
A well understanding of topography effect on the forest reflectance is critical for biophysical parameters retrieval over rugged area. In this paper, a new hybrid bidirectional reflectance distribution function (BRDF) model coupled the geometric optical mutual shadowing (GOMS) and scattering from arbitrarily inclined leaves (SAIL) models with topography consideration (GOSAILT) for sloping forest was...
According to the problems (e.g. the strong dependence on satellite sensors and atmospheric correction) in the current Fraction of absorbed Photosynthetically Active Radiation (FPAR) retrieval from remote sensing data, this study developed a generalized FPAR retrieval methods that can be applied to Landsat 5/TM, Landsat7/ETM+, Landsat 8/OLI, MODIS, ASTER, SPOT/VEGETATION and HJ/CCD based on a new radiative...
Atmospheric absorption bands centered at 2.7 micron are used in missile warning systems for target detection and tracking. Since image simulation is an important tool for sensor development, relevant research should be conducted for sensors using the 2.7 micron absorption bands. In this paper, we propose a surface reflectance image simulation method for this absorption bands, to prepare surface input...
Emissivity is one of the most important parameters to improve the determination of the troposphere properties (thermodynamic properties, aerosols and trace gases concentration) and it is essential to estimate the radiative budget. With the second generation of infrared sounders, we can estimate emissivity spectra at high spectral resolution, which gives us a global view and long-term monitoring of...
GCOM-C SGLI land products are being developed toward better understandings of terrestrial carbon cycle and future climate change projection. In this paper, we will introduce two research products, Leaf Area Index (LAI) and Net Primary Productivity (NPP) and their application of these products to earth system models (ESMs). The LAI product as research product is an improved version from standard product...
Three-year forest above-ground biomass change were measured using L- and P-band Synthetic Aperture Radar (SAR) backscatter. The SAR data were collected in the airborne BioSAR 2007 and BioSAR 2010 campaigns over the hemiboreal Remningstorp test site in southern Sweden. Regression models for biomass were developed using reference biomass maps created using airborne laser scanning data and field measurements...
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