Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data
This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.
Feature
Request download
Citation
Citation Options
Identification
| Title: | Main Title: Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data |
| Description: | Abstract: Disturbing effects caused by vegetation and surface roughness are major impediments to accurate quantitative retrievals of soil moisture from SAR. In this study we use PALSAR FBD images to investigate the potential of dual polarized L-band data to derive information on biomass and surface roughness. In correlation analyses between radar observables and in-situ measurements high sensitivities towards surface roughness and crop biomass could be ascertained. Based on these findings, we estimate surface roughness ks and vegetation biomass. The good quality of the estimates allows correcting the backscattering coefficients for the surface roughness and vegetation effects. The results give a promising outlook in terms of the possibility to develop an operational soil moisture retrieval model for PALSAR data collected in the FBD mode. |
| Identifier: | 10.1109/IGARSS.2011.6049378 (DOI) |
Responsible Party
| Creators: | Christian N. Koyama (Author), Karl Schneider (Author) |
| Publisher: | - |
| Publication Year: | 2013 |
Topic
| TR32 Topic: | Remote Sensing |
| Related Subproject: | C3 |
| Subjects: | Keywords: PALSAR, SAR, Radar/L-Band, Soil Moisture |
File Details
| Filename: | 2011_Koyama_IEEE.pdf |
| Data Type: | Text - Event Paper |
| Size: | 3 Pages |
| File Size: | 452 KB |
| Date: | Issued: 24.07.2011 |
| Mime Type: | application/pdf |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | For internal use only |
| Access Limitations: | For internal use only |
| Licence: | [TR32DB] Data policy agreement |
Geographic
Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Event Paper |
| Number of Pages: | 4 (1059 - 1062) |
| Event: | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
| Event Type: | Conference |
| Event Location: | Vancouver, Canada |
| Event Duration: | 24th of July, 2011 - 29th of July, 2011 |
Metadata Details
| Metadata Creator: | Christian N. Koyama |
| Metadata Created: | 09.12.2013 |
| Metadata Last Updated: | 09.12.2013 |
| Subproject: | C3 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 748 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 3 |
Dataset Activity
Feature
DownloadBy downloading this dataset you accept the license terms of [TR32DB] Data policy agreement and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
