The invention relates to the field of coastal
salt marsh wetland vegetation monitoring, and discloses a
suaeda salsa adaptive hyperspectral index and identification method based on a hyperspectral
remote sensing image. The method mainly aims at solving the problem of difficulty in identifying the
suaeda salsa in the
intertidal zone caused by serious phenomena of same object and different spectrum and same spectrum and
foreign matter in the coastal
wetland; the method comprises the following steps of: firstly, selecting representative samples and acquiring an average spectral
reflectivity curve of the representative samples by considering different
vegetation types, coverage difference and
soil water-salt difference of the coastal
wetland; then, analyzing the spectrum curve and selecting a hyperspectral image optimal
wave band combination which is most suitable for distinguishing the
suaeda salsa from other surface features; then, setting an adaptive rule and constructing a suaeda salsa adaptive hyperspectral index (SSAHI); and finally, quickly and accurately identifying and extracting the range of the suaeda salsa in the
intertidal zone based on SSAHI. According to the method, the range of the suaeda salsa in the
intertidal zone can be rapidly and accurately monitored based on the hyperspectral
remote sensing images of different sensors and different time, and the problems that existing suaeda salsa identification based on the hyperspectral
remote sensing images is difficult and low in precision are solved.