Simultaneous Non-Photosynthetic Vegetation and Photosynthetic Vegetation Fractional Cover Estimation Using ZY-1 02D Satellite Imagery
In the study area of the forest-grass ecotone in Weichang County,Hebei Province,spectral reflectance data of non-photosynthetic vegetation(NPV),bare soil(BS),and photosynthetic vegetation(PV)were utilized from spectral libraries.Based on the spectral curve shape differences of PV,NPV,and BS in the visible and near-infrared(VNIR)range,two narrow near-infrared spectral bands from the ZY-1 02D satellite's Advanced Hyperspectral Imager(AHSI),as well as two wide near-infrared spectral bands(B8 and B9)from the multispectral camera,Visible Near-Infrared Camera(VNIC),were employed to construct the Normalized Spectral Separation Index(NSSI)for NPV,PV,and BS,respectively.Subsequently,by combining the triangular space constructed based on the Normalized Difference Vegetation Index(NDVI),pixel unmixing was conducted to simultaneously estimate the coverage of NPV,PV,and BS components.Additionally,NSSI was compared with Cellulose Absorption Index(CAI)to evaluate the capability of ZY-1 AHSI in estimating the coverage of non-photosynthetic vegetation in the Shortwave Infrared spectral bands(SWIR).The study demonstrates that the combination of NSSI can be utilized to overcome the influence of the shortwave infrared spectral band,which is easily being affected by water,in calculating non-photosynthetic vegetation coverage,thereby being widely applicable to vegetation remote sensing coverage estimation in both arid and humid regions.
ZY-1 02D satellitemultispectral remote sensinghyperspectral remote sensingnon-photosynthetic vegetationspectral separation index
NETL
NSTL
万方数据
