Name
Title | ||
|---|---|---|
Estimation of Fractional Vegetation Cover in Semiarid Areas by Integrating Endmember Reflectance Purification Into Nonlinear Spectral Mixture Analysis |
Abstract | ||
|---|---|---|
Fractional vegetation cover (FVC) is one of the fundamental parameters for characterizing terrestrial ecosystems, with wide uses in various environmental and climate-related modeling applications. The remote sensing technique provides a unique opportunity for estimating FVC over large geographical areas by employing spectral mixture analysis (SMA). The effectiveness of SMA depends largely on the accurate extraction of representative and pure endmembers. However, in arid and semiarid environments that have sparse vegetation distributions, most current SMA models may produce large biases due to difficulties in obtaining pure vegetation spectra from the satellite images. This letter developed a new approach to estimate FVC from satellite observations by integrating an endmember spectrum purification procedure into a nonlinear SMA model. The proposed method is capable of extracting pure endmember spectra even though pure vegetation endmember is not present in target images in arid and semiarid environments, which improves the accuracy of FVC retrievals. Validation experiments conducted in the Xilingol grassland, Inner Mongolia, China, demonstrate that the proposed method produces more accurate FVC estimates (RMSE <; 0.13, AD <; 0.06) than do current algorithms. The better performance of the proposed method can be attributed to the purified vegetation spectra that more closely resemble the real pure vegetation spectra. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LGRS.2014.2385816 | IEEE Geosci. Remote Sensing Lett. |
Keywords | Field | DocType |
representative endmember extraction,pure endmember spectra extraction,fvc retrieval,semiarid area,fractional vegetation cover (fvc),endmember purification,nonlinear spectral mixture analysis (nsma),land cover,satellite observation,nonlinear spectral mixture analysis,geographical area,inner mongolia,xilingol grassland,china,fractional vegetation cover estimation,arid and semiarid areas,semiarid environment,nonlinear sma model,terrestrial ecosystem characterization,spectral analysis,environmental modeling application,geophysical image processing,endmember reflectance purification,climate-related modeling application,satellite image,pure vegetation endmember,vegetation mapping,remote sensing technique,sparse vegetation distribution,indexes,mathematical model,satellites,remote sensing | Endmember,Soil science,Satellite,Vegetation,Nonlinear system,Arid,Remote sensing,Mean squared error,Reflectivity,Mathematics,Vegetation cover | Journal |
Volume | Issue | ISSN |
12 | 6 | 1545-598X |
Citations | PageRank | References |
6 | 0.58 | 6 |
Authors | ||
5 | ||