THE ITSENSING JOURNAL
Practical satellite reviews, remote sensing methods and GIS workflows. Explore the science, understand the limits, and take your next project into iT Sensing.
Which regions overlap supported dust observations during the relevant interval? Learn how to select satellite observations, test the analysis, validate uncertainty and deliver useful GIS evidence with iT Sensing.
Do consistent atmospheric records support a persistent regional change requiring explanation? Learn how to select satellite observations, test the analysis, validate uncertainty and deliver useful GIS evidence with iT Sensing.
How do quality-screened ozone or ultraviolet products vary across a defined region and period? Learn how to select satellite observations, test the analysis, validate uncertainty and deliver useful GIS evidence with iT Sensing.
NDVI contrasts strong near-infrared scattering with red absorption in green vegetation.
The enhanced vegetation index uses near-infrared, red and blue reflectance with background and atmospheric adjustment terms.
SAVI modifies the normalized vegetation contrast by adding a soil adjustment term.
The modified soil-adjusted vegetation index reduces the need to select a fixed soil parameter.
NDMI commonly uses the normalized contrast between near-infrared and shortwave infrared reflectance.
The name NDWI is used for different published indices.
MNDWI commonly replaces near-infrared with a shortwave infrared band in the normalized green-water contrast.
The normalized burn ratio contrasts near-infrared with a longer-wave shortwave infrared band.
dNBR is commonly calculated as pre-fire NBR minus post-fire NBR.
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