Combined Multi-Time Series SAR Imagery and InSAR Technology for Rice Identification in Cloudy Regions
The use of remote sensing technology to monitor farmland is currently the mainstream method for crop research. However, in cloudy and misty regions, the use of optical remote sensing image is limited. Synthetic aperture radar (SAR) technology has many advantages, including high resolution, multi-mod...
Main Authors: | Rui Zhang, Zhanzhong Tang, Dong Luo, Hongxia Luo, Shucheng You, Tao Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/15/6923 |
Similar Items
-
Application of InSAR Techniques to an Analysis of the Guanling Landslide
by: Ya Kang, et al.
Published: (2017-10-01) -
Landslide Detection and Mapping Based on SBAS-InSAR and PS-InSAR: A Case Study in Gongjue County, Tibet, China
by: Jiaming Yao, et al.
Published: (2022-09-01) -
Surface Subsidence Monitoring in Kunming City with Time-Series InSAR and GNSS
by: Shasha Zhu, et al.
Published: (2022-12-01) -
Research on the Applicability of DInSAR, Stacking-InSAR and SBAS-InSAR for Mining Region Subsidence Detection in the Datong Coalfield
by: Yaozong Xu, et al.
Published: (2022-07-01) -
Editorial: InSAR crustal deformation monitoring, modeling and error analysis
by: Yu Chen, et al.
Published: (2022-09-01)