[PDF][PDF] Advances in radar remote sensing of agricultural crops: a review
T Sivasankar, D Kumar, HS Srivastava… - Int. J. Adv. Sci. Eng. Inf …, 2018 - core.ac.uk
There are enormous advantages of a review article in the field of emerging technology like
radar remote sensing applications in agriculture. This paper aims to report select recent …
radar remote sensing applications in agriculture. This paper aims to report select recent …
Wheat crop biophysical parameters retrieval using hybrid-polarized RISAT-1 SAR data
The main goal of this study was to assess the potential of SAR backscatter signatures (RH
and RV) retrieved from hybrid-polarized RISAT-1 SAR data in providing relevant information …
and RV) retrieved from hybrid-polarized RISAT-1 SAR data in providing relevant information …
Robust method for the matching of attributed scattering centers with application to synthetic aperture radar automatic target recognition
B Ding, G Wen, J Zhong, C Ma… - Journal of Applied …, 2016 - spiedigitallibrary.org
This paper proposes a robust method for the matching of attributed scattering centers
(ASCs) with application to synthetic aperture radar automatic target recognition (ATR). For …
(ASCs) with application to synthetic aperture radar automatic target recognition (ATR). For …
Quick quality assessment and radiometric calibration of C-SAR/01 satellite using flexible automatic corner reflector
Q Huang, F Zhang, L Li, X Liu, Y Jiao, X Yuan, H Li - Remote Sensing, 2022 - mdpi.com
C-SAR/01, the successor of China's Gaofen-3 Satellite, which launched on 23 November
2021, is the first synthetic aperture radar (SAR) satellite to be launched in China's civil space …
2021, is the first synthetic aperture radar (SAR) satellite to be launched in China's civil space …
An effective implementation and assessment of a random forest classifier as a soil spatial predictive model
Mapping the spatial distribution of soil classes is important for informing soil use and
management decisions. This study aimed to effectively implement Random Forest (RF) …
management decisions. This study aimed to effectively implement Random Forest (RF) …
Performance analysis of different predictive models for crop classification across an aridic to ustic area of Indian states
The purpose of this study is to present comparative performance analysis of different
machine learning algorithms for large area crop classification. Ten Indian districts with …
machine learning algorithms for large area crop classification. Ten Indian districts with …
Rice crop discrimination using single date RISAT1 hybrid (RH, RV) polarimetric data
Rice is the most important food grain crop in India and contributes to more than 40 percent of
the country's food grain production. Spaceborne remote sensing offers economically viable …
the country's food grain production. Spaceborne remote sensing offers economically viable …
Radiometric accuracy and stability of sentinel-1A determined using point targets
K Schmidt, NT Ramon, M Schwerdt - International Journal of …, 2018 - cambridge.org
Sentinel-1A is a space-borne synthetic aperture radar (SAR) system developed in the frame
of the Copernicus Program. The German Aerospace Center supported the radiometric and …
of the Copernicus Program. The German Aerospace Center supported the radiometric and …
Satellite-based probabilistic assessment of soil moisture using C-band quad-polarized RISAT1 data
This paper attempts to probabilistically estimate the surface soil moisture content (SMC) by
using the synthetic aperture radar data provided by radar imaging satellite1. The novelty of …
using the synthetic aperture radar data provided by radar imaging satellite1. The novelty of …
Digital mapping of soil landscape parameters
Model performance depends on the variables used to represent soil–landscape
relationships. Therefore variable selection is an important aspect of digital mapping …
relationships. Therefore variable selection is an important aspect of digital mapping …