Back to Search
Start Over
Comparison of Three Theoretical Methods for Determining Dry and Wet Edges of the LST/FVC Space: Revisit of Method Physics
- Source :
- Remote Sensing; Volume 9; Issue 6; Pages: 528
- Publication Year :
- 2017
- Publisher :
- MDPI AG, 2017.
-
Abstract
- Land surface temperature and fractional vegetation coverage (LST/FVC) space is a classical model for estimating evapotranspiration, soil moisture, and drought monitoring based on remote sensing. One of the key issues in its utilization is to determine its boundaries, i.e., the dry and wet edges. In this study, we revisited and compared three methods that were presented by Moran et al. (1994), Long et al. (2012), and Sun (2016) for calculating the dry and wet edges theoretically. Results demonstrated that: (1) for the dry edge, the Sun method is equal to the Long method and they have greater vegetation temperature than that of the Moran method. (2) With respect to the wet edge, there are greater differences among the three methods. Generally, Long’s wet edge is a horizontal line equaling air temperature. Sun’s wet edge is an oblique line and is higher than that of the Long’s. Moran’s wet edge intersects them with a higher soil temperature and a lower vegetation temperature. (3) The Sun and Long methods are simpler in calculation and can circumvent some complex parameters as compared with the Moran method. Moreover, they outperformed the Moran method in a comparison of estimating latent heat flux (LE), where determination coefficients varied between 0.45 ~ 0.66 (Sun), 0.47 ~ 0.68 (Long), and 0.39 ~ 0.57 (Moran) among field stations.
- Subjects :
- 010504 meteorology & atmospheric sciences
Meteorology
0208 environmental biotechnology
remote sensing
dry edge
wet edge
evapotranspiration
soil moisture
drought
02 engineering and technology
Vegetation
Edge (geometry)
Space (mathematics)
Atmospheric sciences
01 natural sciences
Horizontal line test
020801 environmental engineering
Evapotranspiration
Latent heat
Theoretical methods
General Earth and Planetary Sciences
Water content
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 20724292
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....f55cbf55b408d82df629a1de1450c23e
- Full Text :
- https://doi.org/10.3390/rs9060528