[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 …

Wheat crop biophysical parameters retrieval using hybrid-polarized RISAT-1 SAR data

S Chauhan, HS Srivastava, P Patel - Remote sensing of environment, 2018 - Elsevier
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 …

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 …

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 …

An effective implementation and assessment of a random forest classifier as a soil spatial predictive model

G Shukla, RD Garg, HS Srivastava… - International Journal of …, 2018 - Taylor & Francis
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) …

Performance analysis of different predictive models for crop classification across an aridic to ustic area of Indian states

G Shukla, RD Garg, HS Srivastava… - Geocarto …, 2018 - Taylor & Francis
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 …

Rice crop discrimination using single date RISAT1 hybrid (RH, RV) polarimetric data

D Uppala, RV Kothapalli, S Poloju… - … & Remote Sensing, 2015 - ingentaconnect.com
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 …

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 …

Satellite-based probabilistic assessment of soil moisture using C-band quad-polarized RISAT1 data

M Pal, R Maity, M Suman, SK Das… - … on Geoscience and …, 2016 - ieeexplore.ieee.org
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 …

Digital mapping of soil landscape parameters

PK Garg, RD Garg, G Shukla, HS Srivastava - Poland: Springer …, 2020 - Springer
Model performance depends on the variables used to represent soil–landscape
relationships. Therefore variable selection is an important aspect of digital mapping …