Article detail · 2015
Paddy Rice Monitoring Using TanDEM X
- Year
- 2015
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue IEEE Transactions on Geoscience and Remote Sensing
- Catalog match (ISSN) IEEE Transactions on Geoscience and Remote Sensing
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
This paper evaluates the potential of spaceborne bistatic interferometric synthetic aperture radar images for the monitoring of biophysical variables in wetlands, with a special interest on paddy rice. The assessment is made during the rice cultivation period, from transplanting to harvesting time (May to October) for fields around Gala lake (Turkey), one of the largest and most productive paddy rice planting area in the country. Detailed ground truth measurements describing biophysical parameters are collected in a dedicated campaign. A stack of 16 dual-pol TanDEM-X images is used for the generation of 32 digital elevation models (DEMs) over the studied area. The quality of the data allows the use of the interferometric phase as a state variable capable to estimate crop heights for almost all the growing stages. The early vegetative rice stage, which is characterized by flooded fields, cannot be represented by the interferometric phase due to a low signal-to-noise ratio but can be easily detected by amplitude and interferometric coherence thresholding. A study on the impact of the polarization in the signal backscatter is also performed. An analysis of the differences between HH and VV DEMs shows the varying signal penetration for the two polarizations at different growing stages. The validation with reference data demonstrates the capability to establish a direct relationship between interferometric phase and rice growth. The very high coherence of TanDEM-X data yields elevation estimates with root-mean-square error in a decimetric level, supporting temporal change analysis on a field-by-field basis.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
100 citations
OpenAlex cited_by_count (cache / database)
21 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Retrieval of agricultural crop height from space A comparison of SAR techniques 2016
- Paddy Rice Phenology Classification Based on Machine Learning Methods Using Multitemporal Co Polar X Band SAR Images 2016
- Retrieval of vegetation height in rice fields using polarimetric SAR interferometry with TanDEM-X data 2017
- Rice Growth Monitoring by Means of X Band Co polar SAR Feature Clustering and BBCH Scale 2015
- Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion 2017
- Polarization Impact in TanDEM X Data Over Vertical Oriented Vegetation The Paddy Rice Case Study 2015
- Estimation of Rice Crop Height From X and C Band PolSAR by Metamodel Based Optimization 2017
- Assessment of Paddy Rice Height: Sequential Inversion of Coherent and Incoherent Models 2018
- CO-POLAR SAR data classification as a tool for real time paddy-rice monitoring 2015
- Phenological growth stages of paddy rice according to the BBCH scale and SAR images 2014