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Differences among the normalized difference vegetation indices (NDVIs) simulated from multiple sensors were analyzed using soil isoline equations (SIEs). The upscaled NDVI image was obtained by generating images of red and near-infrared (NIR) bands using an upscaling factor through (1) convolution of a spectral response function (SRF) and hyperspectral data from the EO-1 HYPERION, and (2) adaptation...
This study investigated an optimization technique for improving the inter-band reflectance relationship known as the vegetation isoline equations. A single factor was introduced into the recently developed vegetation isolines [Miura et al. 2015] to decompose the higher-order interaction terms of photons between the canopy layers and soil surfaces. A set of numerical experiments based on the canopy...
Intercalibration among remotely-sensed data products such as spectral vegetation indices (VIs) from sensors onboard different satellites has been investigated for integrational use of multiple datasets. To facilitate intercalibration technique of VIs, the relationships among the VI values from different sensors need to be fully understood. This study evaluated the accuracies of NDVI translation technique...
Kauffman introduced a fundamental invariant of a virtual knot called the odd writhe. There are several generalizations of the odd writhe, such as the index polynomial and the odd writhe polynomial. In this paper, we define the n-writhe for each non-zero integer n, which unifies these invariants, and study various properties of the n-writhe.
Relationships between two data records such as spectral vegetation index (VI) from different sensors have been paid much attention for accuracy improvement in long-term data set. Such relationships vary with differences in spectral response function, spatial resolution, and viewing and illumination angles. This study focuses on the influences of observation geometries on VI relationship between two...
For retrievals of soil optical properties, relationships between the two reflectances of different wavelengths become a key information. This relationship is known as soil isolines from the fact that the reflectances of two different wavelengths form a contour line (isoline) in a reflectance subspace when the soil properties are set to be constant. In our previous work, a relationship between two...
This study introduces an analytical approach to derive a relationship between values of Normalized Difference Vegetation Index (NDVI) obtained from datasets of two sensors with different band passes in the context of inter-sensor cross-calibration of such vegetation index (VI) products. Derivation of the relationship has been performed based on a concept of soil isolines. Starting from the soil isoline...
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