scholarly journals Summary of Agricultural Application of Radar Remote Sensing

2020 ◽  
Vol 9 (1) ◽  
pp. 18
Author(s):  
Sicheng Li

<p>Radar remote sensing has the ability of all-day and all-weather monitoring, has certain penetration ability to vegetation, and is sensitive to the shape, structure and dielectric constant of vegetation scatterers. These characteristics make it have great potential in agricultural application. Firstly, this paper introduces the application fields of radar remote sensing in agriculture, and summarizes the current research literature in many fields, such as crop identification and classification, farmland soil moisture inversion, crop growth monitoring and so on. Then, the application status and research achievements of radar scatterometer and various SAR features (including SAR backscattering features, polarization features, interference features and tomography features) in various fields of agriculture are described respectively. Finally, the problems and reasons existing in the current research are summarized according to the agricultural application requirements and the development of SAR technology, and the future development is prospected.</p><p align="justify"> </p>

Author(s):  
Dipankar Mandal ◽  
Divya Sekhar Vaka ◽  
Narayana Rao Bhogapurapu ◽  
V. S. K. Vanama ◽  
Vineet Kumar ◽  
...  

Sentinel-1 SAR data preprocessing is essential for several earth observation applications, including land cover classification, change detection, vegetation monitoring, urban growth, natural hazards, etc. The information can be extracted from the 2x2 covariance matrix [C2] of Sentinel-1 dual-pol (VV-VH) acquisitions. To generate the covariance matrix from Sentinel-1 single look complex (SLC) data, several preprocessing steps are required. The ESA SNAP S-1 toolbox can be used to preprocess the data to generate a [C2] matrix. The polarimetric analysis in respective application fields often starts with the covariance matrix. However, due to limited availability of Sentinel-1 SLC data preprocessing workflow standards for polarimetric applications in contemporary research methods, downstream applications unable to comply with these workflows directly. In this paper, we propose a couple of generic practices to preprocess Sentinel-1 SLC data in SNAP S-1 toolbox, which would be beneficial for the radar remote sensing user community.


2021 ◽  
Vol 205 ◽  
pp. 76-92
Author(s):  
Clara Simón de Blas ◽  
Rubén Valcarce-Diñeiro ◽  
Ana E. Sipols ◽  
Nilda Sánchez Martín ◽  
Benjamín Arias-Pérez ◽  
...  

2016 ◽  
Vol 8 (1) ◽  
pp. 38-47 ◽  
Author(s):  
Fulong Chen ◽  
Aihui Jiang ◽  
Panpan Tang ◽  
Ruixia Yang ◽  
Wei Zhou ◽  
...  

Author(s):  
V.K. Ivanov ◽  
R.E. Paschenko ◽  
O.M. Stadnyk ◽  
S.ye. Yatsevich

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