|
Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Agriculture / Faculty of Agriculture >
Peer-reviewed Journal Articles, etc >
Application of the Sahebi model using ALOS/PALSAR and 66.3 cm long surface profile data
| Title: | Application of the Sahebi model using ALOS/PALSAR and 66.3 cm long surface profile data |
| Authors: | Sonobe, R. Browse this author | | Tani, H. Browse this author |
| Keywords: | ALOS/PALSAR | | backscattering coefficient | | roughness | | soil moisture |
| Issue Date: | Nov-2009 |
| Publisher: | Taylor & Francis |
| Journal Title: | International Journal of Remote Sensing |
| Volume: | 30 |
| Issue: | 22 |
| Start Page: | 6069 |
| End Page: | 6074 |
| Publisher DOI: | 10.1080/01431160902980316 |
| Abstract: | Soil moisture is important information for agricultural fields in which erosion of upper soil layers depends upon the soil moisture, and in which the yield depends on soil water content during sowing, growing and harvest periods. Although sensitivity of microwave backscatters to soil moisture is well understood, several factors, such as surface roughness and incidence angle, can interfere with the estimation of soil moisture using Synthetic Aperture Radar (SAR) data. In this letter, we evaluate the influence of these variables using Advanced Land Observing Satellite (ALOS)/Phased Array type L-Band Synthetic Aperture Radar (PALSAR) data and 66.3 cm long surface profile data using the Sahebi model (Sahebi et al. 2003, Estimation of the moisture content of bare soil from RADASAT-1 SAR using simple empirical models. International Journal of Remote Sensing, 24, pp. 2575–2583). The model applied in this study has a root mean square error (RMSE) of only 1.34 dB, which suggests that 66.3 cm long surface profile data are effective for characterization of surface roughness effects on backscattering coefficients. |
| Rights: | This is an Author's Accepted Manuscript of an article published in International Journal of Remote Sensing, 30(22) 2009, 6069-6074. International Journal of Remote Sensing is available online at: http://dx.doi.org/10.1080/01431160902980316 |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/54600 |
| Appears in Collections: | 農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
|
Submitter: 薗部 礼
|
