Agricultural Monitoring with Spaceborne X-band SAR Data
This page lists the DOI metadata that was entered for this dataset. You can download the dataset.
The full metadata can be seen here.
Feature
Citation
Citation Options
Identification
| Title: | Main Title: Agricultural Monitoring with Spaceborne X-band SAR Data |
| Descriptions: | Abstract: In this study, we investigated the use of TerraSAR-X Spotlight data for monitoring rice cultivation in the Sanjiang Plain, Northeast China. Multi-temporal TerraSAR-X data acquired in dual polarization mode (HH/VV) were analysed to assess the potential of a high resolution X-band spaceborne sensor for rice productivity mapping and yield prediction. Satellite data were acquired from June to August 2009 in conjunction with ground truth information of the crop canopy, such as LAI, plant height, tiller density, and biomass. In the first part, the sensitivity of radar backscatter was analysed to identify backscatter signatures as a function of rice phenology. The methods were based on spatial and temporal changes of the backscattered intensity of copolar data. At the early growth stages the signal increased to maximum due to double bounce response from the stem – soil interaction. With increasing density of the foliage, the attenuation of the stem – soil interaction by the leaves results in a decreasing backscattering signal until the heads evolve and cover the canopy. The heads appear at around day 70 after transplanting and act as important scatterers during the heading stage. In a second part, we conducted a correlation analysis between the TerraSAR-X backscattering signal and rice biomass, separated into different parts of the plant, such as stem, leaf, and head. The obvious seasonal trend of the backscattering coefficient showed that the X-band is highly sensitive to changes in the canopy and the size of the dominant elements. The findings based on the multi-temporal backscatter analysis were confirmed by the correlation analysis. In accordance with the growth of the rice plants, the sensitivity of the X-band sensor changes during the growing season, from soil – stem interaction to the leaf and heads of the plants. Series Information: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 55-61 |
| Identifier: | 10.5880/TR32DB.KGA92.8 (DOI) |
| Related Resource: | Is Part Of 0454-1294 (ISBN) |
Responsible Party
| Creators: | Wolfgang Koppe (Author), Martin Leon Gnyp (Author), Yinkun Yao (Author), Yuxin Miao (Author), Georg Bareth (Author) |
| Contributors: | Victoria Lenz-Wiedemann (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
| Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
| Publication Year: | 2011 |
Topic
| Subjects: | Keywords: TerraSAR-X, Multi-Temporal, Biomass, Remote Sensing |
File Details
| Filename: | Koppe_et_al_2011_KGA92.pdf |
| Data Type: | Text - Book Section |
| Sizes: | 2616 Kilobytes 7 Pages |
| File Size: | 2.6 MB |
| Dates: | Created: 18.11.2010 Issued: 05.10.2011 |
| Mime Type: | application/pdf |
| Language: | English |
Constraints
| Download Permission: | Free |
| Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
| Metadata Creator: | Constanze Curdt |
| Metadata Created: | 05.08.2013 |
| Metadata Last Updated: | 05.08.2013 |
| Subproject: | Z1 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 509 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 12 |
Dataset Activity
Feature
By downloading this dataset you accept the license terms of [Creative Commons] Attribution 4.0 International (CC BY 4.0) 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.
