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Dr. Shoba Periasamy
Dr. Shoba Periasamy
Assistant Professor at Institute of Remote Sensing, College of Engineering, Anna University
Verified email at annauniv.edu
Title
Cited by
Cited by
Year
Significance of dual polarimetric synthetic aperture radar in biomass retrieval: An attempt on Sentinel-1
S Periasamy
Remote Sensing of Environment 217, 537-549, 2018
1592018
Multispectral and microwave remote sensing models to survey soil moisture and salinity
S Periasamy, RS Shanmugam
Land Degradation & Development 28 (4), 1412-1425, 2017
522017
Modeling the contributing factors of desertification and evaluating their relationships to the soil degradation process through geomatic techniques
P Shoba, SS Ramakrishnan
Solid Earth 7 (2), 341-354, 2016
472016
A novel approach to quantify soil salinity by simulating the dielectric loss of SAR in three-dimensional density space
S Periasamy, KP Ravi
Remote Sensing of Environment 251, 112059, 2020
422020
Potential assessment of PRISMA hyperspectral imagery for remote sensing applications
RU Shaik, S Periasamy, W Zeng
Remote Sensing 15 (5), 1378, 2023
342023
Identification of saline landscapes from an integrated SVM approach from a novel 3-D classification schema using Sentinel-1 dual-polarized SAR data
S Periasamy, KP Ravi, K Tansey
Remote Sensing of Environment 279, 113144, 2022
192022
Accuracy and processing speed trade-offs in classical and quantum SVM classifier exploiting PRISMA hyperspectral imagery
RU Shaik, S Periasamy
International Journal of Remote Sensing 43 (15-16), 6176-6194, 2022
82022
Integrated SAR simulation to categorize the stressed and salt-tolerant crops using Sentinel-1 data
KP Ravi, S Periasamy
Geocarto International 37 (13), 3659-3678, 2022
72022
Systematic discrimination of irrigation and upheaval associated salinity using multitemporal SAR data
KP Ravi, S Periasamy
Science of the Total Environment 790, 148148, 2021
72021
Integrated SAR vegetation index for rabi and kharif crops
V Krishnan, S Periasamy, KP Ravi
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
42022
A soil texture categorization mapping from empirical and semi-empirical modelling of target parameters of synthetic aperture radar
S Periasamy, D Senthil, RS Shanmugam
Geocarto International 36 (5), 581-598, 2021
42021
Appraising the crop health response to water stress from enhanced crop and soil water estimates using SAR data and machine learning approaches
NM Gopi, S Periasamy
International Journal of Remote Sensing 44 (13), 4190-4216, 2023
22023
Indirect Method of Identifying Fluoride (F) Affected Soil
NM Gopi, S Periasamy
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
22022
A Modified Triangle with SAR Target Parameters for Soil Texture Categorization Mapping
S Periasamy, D Senthil, RS Shanmugam
Conference of the Arabian Journal of Geosciences, 97-99, 2018
22018
Agricultural Land Degradation in India
S Periasamy, RS Shanmugam
Impact of Agriculture on Soil Degradation I: Perspectives from Africa, Asia …, 2022
12022
Modeling the contributing factors of desertification and evaluating their relationships to soil degradation process through Geomatic techniques.
P Shoba, SS Ramakrishnan
Solid Earth Discussions 7 (4), 2015
12015
Comparison of different multispectral and dielectric models to estimate soil salinity: A case study in Palacode Taluk, Dharmapuri District.
NM Gopi, R Annadurai, S Periasamy
MDPI, 2024
2024
An Empirical Approach to Map the Paddy Crops at the Ripening Stage Using SLC and GRD Sentinel-1 Data
S Sadhak, S Periasamy
2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing …, 2024
2024
An integrated approach to investigate surface and root zone salinity from multispectral and microwave remote sensing techniques
S Periasamy, KP Ravi
International Journal of Environmental Science and Technology, 1-16, 2024
2024
Comparing the Potential of Multispectral and SAR Models in Estimating Soil Salinity
NM Gopi, R Annadurai, S Periasamy
Presented at the 5th International Electronic Conference on Remote Sensing 7, 21, 2023
2023
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