Multispectral imaging - multispectral vs hyperspectral imaging
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The MTF describes the ability of an imaging system to reproduce information over a range of spatial frequencies. From: Clinical Radiology, 2004.
The Normalized Difference Vegetation Index (NDVI) is a method used in vegetation analysis to assess land degradation over time, green biomass, or vegetation health. The index is determined by comparing the absorption of chlorophyll pigment in the red band and the high reflectivity of plant material in the near-infrared band, which is captured by remote sensing instruments such as satellites or drones. In ArcGIS Pro, the Band Arithmetic function enables the calculation of NDVI using a band arithmetic formula. This method creates a new output band, which allows significant information from the spectral properties to be extracted for in-depth analysis or visualization. The workflow provided in this article involves creating multiband rasters from individual bands of the Sentinel-2 Level-2A satellite imagery, as shown in the image below. The multiband rasters are then mosaicked and used as input to calculate the NDVI using the specific band arithmetic formula of the Sentinel-2 Level-2A satellite imagery.
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The multiband rasters are then mosaicked and used as input to calculate the NDVI using the specific band arithmetic formula of the Sentinel-2 Level-2A satellite imagery.
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The image below shows the NDVI for the multiple Sentinel-2 imagery calculated using the band arithmetic formula in ArcGIS Pro. The NDVI values (below the raster layer in the Contents pane) range from -1 to 1, with higher values indicating healthier and more abundant vegetation.
The Normalized Difference Vegetation Index (NDVI) is a method used in vegetation analysis to assess land degradation over time, green biomass, or vegetation health. The index is determined by comparing the absorption of chlorophyll pigment in the red band and the high reflectivity of plant material in the near-infrared band, which is captured by remote sensing instruments such as satellites or drones. In ArcGIS Pro, the Band Arithmetic function enables the calculation of NDVI using a band arithmetic formula. This method creates a new output band, which allows significant information from the spectral properties to be extracted for in-depth analysis or visualization. The workflow provided in this article involves creating multiband rasters from individual bands of the Sentinel-2 Level-2A satellite imagery, as shown in the image below.