Читать книгу Urban Remote Sensing - Группа авторов - Страница 50

Multispectral sensors extend beyond the visible portion of the electromagnetic spectrum. Multispectral images can be used to derive vegetation indices like Normalized Difference Vegetation Index (NDVI) and Enhanced Normalized Difference Vegetation Index (ENDVI). This type of sensor is primarily used in the fields of vegetation and agriculture (Adam et al., 2010). With much higher spatial resolution than traditional multispectral sensors mounted on airplanes or satellites, multispectral data collected with UAS allows for detailed examinations of phenomena like leave level farming (Calderón et al., 2014) and pads level water pollution issues (Kislik et al., 2018). However, they are significantly more expensive than RGB cameras. There is currently a lack of processing software that can handle various formats of multispectral data efficiently (Yao et al., 2019).