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Categorisation of mango orchard age groups using Object-Based Image Analysis

Arabian journal of geosciences, 2024, Vol.17 (2), Article 62

2024

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Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (14), p.3249

2022

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Evaluation of machine learning algorithms to Sentinel SAR data

Spatial Information Research, 2020, 28(3), 114, pp.345-355

2020

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Morphological characterization of Maize (Zea mays.) utilising the stage-wise structural and architectural perspective from temporal fully-polarimetric SAR

The Egyptian journal of remote sensing and space sciences, 2024-06, Vol.27 (2), p.242-254

2024

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Monsoon paddy crop discrimination using machine learning algorithms to multi-temporal Sentinel-1A (C-band) data in Alathur block of Palakkad district of Kerala state, India

Paddy and water environment, 2023-07, Vol.21 (3), p.365-375

2023

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Condition assessment of pearl millet/ bajra crop in different vigour zones using Radar Vegetation Index

Spatial Information Research, 2021, 29(5), 122, pp.631-643

2021

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Evaluation of full-polarimetric parameters for vegetation monitoring in rabi (winter) season

The Egyptian journal of remote sensing and space sciences, 2018-07, Vol.21, p.S67-S73

2018

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Use of time series Sentinel-1 and Sentinel-2 image for rice crop inventory in parts of Bangladesh

Applied geomatics, 2023-06, Vol.15 (2), p.407-420

2023

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Pearl Millet Crop Biophysical Parameter Retrieval From Space Borne Polarimetric SAR Data Using Machine Learning

Earth and space science (Hoboken, N.J.), 2024-01, Vol.11 (1), p.n/a

2024

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An insight into the sensitivity of fully polarimetric SAR data to biomass of pearl millet crop

The Egyptian journal of remote sensing and space sciences, 2022-08, Vol.25 (2), p.361-369

2022

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SAR polarimetric analysis for major land covers including pre-monsoon crops

Geocarto international, 2021-11, Vol.36 (19), p.2224-2240

2021

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Characterization of monsoon and summer season paddy transplantation date in India using RISAT-1 synthetic aperture radar

Geocarto international, 2021-06, Vol.36 (10), p.1178-1192

2021

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Evaluation of different machine learning algorithms for pearl millet discrimination using multi-sensor SAR data

Geocarto international, 2022-09, Vol.37 (17), p.5116-5132

2022

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Optimal datasets suitability for pearl millet (Bajra) discrimination using multiparametric SAR data

Geocarto international, 2020-12, Vol.35 (16), p.1814-1831

2020

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Polarimetric signature analysis of various crop-types using multi-source dual-frequency SAR data

Geocarto international, 2022-12, Vol.37 (25), p.8860-8881

2022

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Discrimination of maize crop in a mixed Kharif crop scenario with synergism of multiparametric SAR and optical data

Geocarto international, 2022-09, Vol.37 (18), p.5307-5326

2022

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Estimation of mustard and wheat phenology using multi-date Shannon entropy and Radar Vegetation Index from polarimetric Sentinel- 1

Geocarto international, 2022-10, Vol.37 (20), p.5935-5962

2022

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Discrimination and monitoring of rice cultural types using dense time series of Sentinel-1 SAR data

Ecological informatics, 2023-09, Vol.76, p.102136, Article 102136

2023

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Eigen vector-based classification of pearl millet crop in presence of other similar structured (sorghum and maize) crops using fully polarimetric Radarsat-2 SAR data

Geocarto international, 2022-08, Vol.37 (16), p.4857-4869

2022

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BIOPHYSICAL PARAMETERS RETRIEVAL AND SENSITIVITY ANALYSIS OF RABI CROPS (MUSTARD AND WHEAT) FROM STRUCTURAL PERSPECTIVE

Progress in electromagnetics research C Pier C, 2020-09, Vol.106, p.61-75

2020

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Radar Vegetation Index for assessing cotton crop condition using RISAT-1 data

Geocarto international, 2020-03, Vol.35 (4), p.364-375

2020

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Monitoring cotton crop condition through synergy of optical and radar remote sensing

Geocarto international, 2022-01, Vol.37 (2), p.377-395

2022

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Time series potential assessment for biophysical characterization of orchards and crops in a mixed scenario with Sentinel-1A SAR data

Geocarto international, 2020-10, Vol.35 (14), p.1627-1639

2020

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Time series analysis of co-polarization phase difference (PPD) for winter field crops using polarimetric C-band SAR data

International journal of remote sensing, 2016-08, Vol.37 (16), p.3753-3770

2016

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Biophysical parameter assessment of winter crops using polarimetric variables—entropy (H), anisotropy (A), and alpha (α)

Arabian journal of geosciences, 2019-06, Vol.12 (12), p.1-14, Article 375

2019

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Categorisation of mango orchard age groups using Object-Based Image Analysis

Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data

Evaluation of machine learning algorithms to Sentinel SAR data

Morphological characterization of Maize (Zea mays.) utilising the stage-wise structural and architectural perspective from temporal fully-polarimetric SAR

Monsoon paddy crop discrimination using machine learning algorithms to multi-temporal Sentinel-1A (C-band) data in Alathur block of Palakkad district of Kerala state, India

Condition assessment of pearl millet/ bajra crop in different vigour zones using Radar Vegetation Index

Evaluation of full-polarimetric parameters for vegetation monitoring in rabi (winter) season

Use of time series Sentinel-1 and Sentinel-2 image for rice crop inventory in parts of Bangladesh

Pearl Millet Crop Biophysical Parameter Retrieval From Space Borne Polarimetric SAR Data Using Machine Learning

An insight into the sensitivity of fully polarimetric SAR data to biomass of pearl millet crop

SAR polarimetric analysis for major land covers including pre-monsoon crops

Characterization of monsoon and summer season paddy transplantation date in India using RISAT-1 synthetic aperture radar

Evaluation of different machine learning algorithms for pearl millet discrimination using multi-sensor SAR data

Optimal datasets suitability for pearl millet (Bajra) discrimination using multiparametric SAR data

Polarimetric signature analysis of various crop-types using multi-source dual-frequency SAR data

Discrimination of maize crop in a mixed Kharif crop scenario with synergism of multiparametric SAR and optical data

Estimation of mustard and wheat phenology using multi-date Shannon entropy and Radar Vegetation Index from polarimetric Sentinel- 1

Discrimination and monitoring of rice cultural types using dense time series of Sentinel-1 SAR data

Eigen vector-based classification of pearl millet crop in presence of other similar structured (sorghum and maize) crops using fully polarimetric Radarsat-2 SAR data

BIOPHYSICAL PARAMETERS RETRIEVAL AND SENSITIVITY ANALYSIS OF RABI CROPS (MUSTARD AND WHEAT) FROM STRUCTURAL PERSPECTIVE

Radar Vegetation Index for assessing cotton crop condition using RISAT-1 data

Monitoring cotton crop condition through synergy of optical and radar remote sensing

Time series potential assessment for biophysical characterization of orchards and crops in a mixed scenario with Sentinel-1A SAR data

Time series analysis of co-polarization phase difference (PPD) for winter field crops using polarimetric C-band SAR data

Biophysical parameter assessment of winter crops using polarimetric variables—entropy (H), anisotropy (A), and alpha (α)

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