Back to Search
Start Over
Estimation of the L-Band effective scattering albedo of tropical forests using SMOS observations
- Source :
- IEEE Geoscience and Remote Sensing Letters, IEEE Geoscience and Remote Sensing Letters, IEEE-Institute of Electrical and Electronics Engineers, 2017, 14 (8), pp.1223-1227. ⟨10.1109/LGRS.2017.2703637⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- This letter aims to estimate the effective scattering albedo ( $\omega _{p}$ ) over the tropical forests using L-band (1.4 GHz) microwave remote sensing. It is carried out using Soil Moisture and Ocean Salinity (SMOS) mission data over five years (2011–2015). We find similar values of $\omega _{p}$ computed over the Congo and Amazon forests. The $\omega _{p }$ values depend slightly on the polarization. The values of $\omega _{p }$ at H-polarization and at 52° ± 5° (40° ± 5°) of incidence angle are within the range 0.064 – 0.069 ± 0.01 (0.061 – 0.067 ± 0.012). At V-polarization, the values of $\omega _{p }$ are slightly lower (0.060 – 0.061 ± 0.013 at 52° ± 5° of incidence angle and 0.052 – 0.055 ± 0.013 at 40° ± 5° of incidence angle). These findings should contribute to a better calibration of the value of $\omega _{p }$ over the tropical forests in both the SMOS and SM active and passive retrieval algorithms, leading to increase the SM retrieval accuracy over heterogeneous pixels.
- Subjects :
- tropical forest
L band
010504 meteorology & atmospheric sciences
[SDV]Life Sciences [q-bio]
0211 other engineering and technologies
02 engineering and technology
Astrophysics
forêt tropicale
01 natural sciences
Omega
amazonie
congo
télédétection microondes
Microwave remote sensing
humidité du sol
Electrical and Electronic Engineering
Retrieval algorithm
amazonia
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Physics
salinité des océans
Scattering
Settore ING-INF/02 - Campi Elettromagnetici
15. Life on land
Geotechnical Engineering and Engineering Geology
Tropical forest
albédo
Subjects
Details
- Language :
- English
- ISSN :
- 1545598X and 15580571
- Database :
- OpenAIRE
- Journal :
- IEEE Geoscience and Remote Sensing Letters, IEEE Geoscience and Remote Sensing Letters, IEEE-Institute of Electrical and Electronics Engineers, 2017, 14 (8), pp.1223-1227. ⟨10.1109/LGRS.2017.2703637⟩
- Accession number :
- edsair.doi.dedup.....94b5cbce727bd96827009fca444cd2fb