Soil moisture index from ERS-SAR and its application to the analysis of spatial patterns in agricultural areas
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| Title: | Main Title: Soil moisture index from ERS-SAR and its application to the analysis of spatial patterns in agricultural areas |
| Description: | Abstract: Soil moisture is an important factor influencing hydrological and meteorological exchange processes at the land surface. Synthetic Aperture Radar (SAR) backscatter is strongly affected by the volumetric soil moisture content, thus providing the potential to derive spatially distributed soil moisture information. Archives of historic SAR data exist which use is limited by the lack of corresponding ground truth measurements. This study analyses the potential of using a soil moisture index (SMI) with high spatial resolution to assess the soil moisture status in the absence of ground truth data. The index method is applied to agricultural areas in the catchment of the river Rur in Germany. The SMI was evaluated using antecedent precipitation and the wetting and drying behaviour. The spatial patterns of the SMI were analysed using semivariograms. This study confirms the applicability of a high resolution soil moisture index for monitoring near surface soil moisture changes, to analyse soil moisture patterns and indicates the possibility to complement antecedent precipitation as an input to hydrological models. |
| Identifier: | 10.1117/1.JRS.12.022206 (DOI) |
| Citation Advice: | Esch, S., Korres, W., Reichenau, T.G., Schneider, K. (2018): Soil moisture index from ERS-SAR and its application to the analysis of spatial patterns in agricultural areas. Journal of Applied Remote Sensing (JARS). [accepted for publication] |
Responsible Party
| Creator: | Sabrina Esch (Author) |
| Contributors: | Wolfgang Korres (Related Person), Tim G. Reichenau (Related Person), Karl Schneider (Related Person) |
| Publisher: | SPIE - The international society for optics and photonics |
| Publication Year: | 2018 |
Topic
| TR32 Topic: | Remote Sensing |
| Related Subproject: | C3 |
| Subjects: | Keywords: Soil Moisture, SAR |
File Details
| Filename: | SMI_Esch_2017_TR32_db.pdf |
| Data Type: | Text - Article |
| File Size: | 2 MB |
| Date: | Accepted: 15.03.2018 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | In Process |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | According to the TR32DB data policy agreement. |
| Access Limitations: | According to the TR32DB data policy agreement. |
| Licence: | [TR32DB] Data policy agreement |
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Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Journal of Applied Remote Sensing |
| Source Website: | https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing?SSO=1 |
| Issue: | 2 |
| Volume: | 12 |
| Number of Pages: | 23 (1 - 23) |
Metadata Details
| Metadata Creator: | Sabrina Esch |
| Metadata Created: | 20.03.2018 |
| Metadata Last Updated: | 20.03.2018 |
| Subproject: | C3 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Metadata Downloads: | 0 |
| Dataset Downloads: | 1 |
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