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S. Pazhanivelan

Publications (27)

Enhancing Flood Area Mapping Accuracy Using Advanced SAR Data Processing

S. Pazhanivelan, K. P. Ragunath, N.S. Sudarmanian, S. Satheesh & K. Sneka · International Journal of Environment and Climate Change · 2024

Aim: To assess the spatial distribution of floods in 2024 using remote sensing data, specifically Synthetic Aperture Radar (SAR), a powerful tool in flood monitoring and mapping due to its ability to capture data under all weather conditions, including rain and cloud cover provid...

Open access Research Article 10.9734/ijecc/2024/v14i124662

Flood Inundation Mapping Using Sentinel 1A Satelite Data in Major Blocks of Mayiladuthurai District, Tamil Nadu, India

K. Sneka, S. Pazhanivelan, K. P. Ragunath, M. Raju, A. Suganthi & S. Satheesh · International Journal of Plant & Soil Science · 2023

A research study was carried out for mapping flood affected areas from Sentinel 1A satellite data in the major blocks of Mayiladuthurai district, Tamil Nadu. A very high-resolution Sentinel 1A satellite data was acquired and processed with GIS tools. Ground truth gathered during...

Open access Research Article 10.9734/ijpss/2023/v35i193589

Mapping Rice Area in the Cauvery Delta Zone of Tamil Nadu Using Sentinel 1A Synthetic Aperture Radar (SAR) Data

M. Ajay Prakash, S. Pazhanivelan, D. Muthumanickam, K. P. Ragunath & A. P. Sivamurugan · International Journal of Environment and Climate Change · 2023

Since remote sensing based crop inventory provides accurate and timely information as compared to the conventional survey methods of estimating area, Multi-temporal Sentinel 1A Synthetic Aperture Radar data was used for the estimation of rice area during Samba season 2022 in the...

Open access Research Article 10.9734/ijecc/2023/v13i102630

Evaluation of DSSAT-CROPGRO Module for Spatial Yield Estimation of Chickpea in Vidisha (Madhya Pradesh) and Nagaur (Rajasthan), India

A. Ragul, S. Pazhanivelan, A. P. Sivamurugan, K. Boomiraj, K. P. Raghunath & Kancheti Mrunalini · International Journal of Environment and Climate Change · 2023

Crop simulation models are often used to characterize, develop and assess field crop production practices. The present study was carried out for chickpea spatial yield estimation at Vidisha of Madhya Pradesh and Nagaur district of Rajasthan employing the DSSAT model. In this stud...

Open access Research Article 10.9734/ijecc/2023/v13i92461

Area Assessment for Rice Crop in Thiruvarur District Assimilating Sentinel 1A Satellite Data

S. Satheesh, S. Pazhanivelan, R. Kumaraperumal, S. Radhamani, K. P. Ragunath & N. S. Sudarmanian · International Journal of Environment and Climate Change · 2022

This study proposes an effective method to map rice area using the Sentinel-1A SAR (Synthetic Aperture Radar) time series data over the Thiruvarur district during samba 2021. Fully automated MAPscape-Rice software was used to pre-process the SAR data and extraction of multi-tempo...

Open access Research Article 10.9734/ijecc/2022/v12i1030924

Estimating Genetic Parameters for DSSAT CROPGRO-Cotton Model Calibration and Validation

G. Srinivasan, S. Pazhanivelan, S. Murali Krishnasamy, N. S. Sudarmanian, S. Rajeswari & Balaji Kannan · International Journal of Plant & Soil Science · 2021

DSSAT CROPGRO-Cotton Model (version 4.7.5) was generally used to forecast the effect of climate change on productivity. The objective of this study was to calibrate and validate this model in Tamil Nadu, India for simulation of development, growth and seed cotton yield of Suraj c...

Open access Research Article 10.9734/ijpss/2021/v33i2430764

Calibration and Validation of DSSAT CROPGRO Peanut Model for Yield and Yield Attributing Characters of Groundnut Varieties in Northern Agro-Climatic Zone of Tamil Nadu

S. Thirumeninathan, S. Pazhanivelan, N. S. Sudarmanian, K. P. Ragunath, A. Gurusamy & N. Sritharan · International Journal of Environment and Climate Change · 2021

Aim: The research study was conducted to calibrate and validate the DSSAT CROPGRO peanut model for simulating the potential yield of groundnut to deciding the best possible management options at major growing areas of Northern Agro-Climatic zone of Tamil Nadu. Study Design:  The...

Open access Research Article 10.9734/ijecc/2021/v11i1130535

Cloud-based Decision Support System for Reference Evapotranspiration Estimation

Dasari Omkar, S. Selvakumar, S. Pazhanivelan, M. Raju, K. P. Ragunath & V. Ravikumar · International Journal of Environment and Climate Change · 2026

Reference evapotranspiration (ETo) is a critical parameter in agricultural water management, irrigation scheduling and hydrological modelling. Spatially continuous estimation of ETo remains challenging in data-sparse regions where ground-based meteorological networks are inadequa...

Open access Research Article 10.9734/ijecc/2026/v16i65497

Rainfall-Runoff Modelling: A Review of Empirical, Physically-Based and Machine Learning Approaches and Climate Change Applications

Dasari Omkar, S. Selvakumar, S. Pazhanivelan, M. Raju, K. P. Ragunath & V. Ravikumar · International Journal of Environment and Climate Change · 2026

Rainfall-runoff (R-R) models are the foundational computational tools of applied hydrology, underpinning flood design, drought monitoring, reservoir operation, irrigation management, and climate change impact assessment. This paper provides a comprehensive global review of R-R mo...

Open access Research Article 10.9734/ijecc/2026/v16i65499

Enhancing Drip Irrigation Efficiency through Novel Statistical Modeling of Wetting Patterns in Water-Scarce Agriculture

Raj kumar Pal, K. Arunadevi, S. Pazhanivelan, V. Ravikumar & S. Selvakumar · International Journal of Plant & Soil Science · 2023

Drip irrigation is a critical solution for agricultural water scarcity, especially in water-scarce regions. This study introduces innovative statistical models to estimate essential wetting patterns in clay loam soil for optimizing drip irrigation systems. Using a drip system wit...

Open access Research Article 10.9734/ijpss/2023/v35i193740

Studies on Genetic Variability, Correlation Analysis in Mithipagal (Momordica charantia var. muricata) Genotypes

P. Agalya, P. Irene Vethamoni, S. Pazhanivelan, S. Praneetha & S. Haripriya · International Journal of Environment and Climate Change · 2023

The present investigation was carried out in Tamil Nadu Agricultural University, Coimbatore to study the “Genetic variability and correlation analysis in Mithipagal (Momordica charantia var. muricata) genotypes”. Observations on vine length, days to male flower inflorescence, day...

Open access Research Article 10.9734/ijecc/2023/v13i102869

Crop Diversification Assessment in Tank Ayacut Areas of Lower Palar Sub-Basin of Chengalpattu District, Tamil Nadu, India Using Geo-Spatial Techniques

M. Vairavamani, D. Muthumanickam, S. Pazhanivelan, R. Kumaraperumal & K. P. Ragunath · International Journal of Environment and Climate Change · 2023

For the assessment of crop diversification in the major tank Ayacut area of the Lower Palar sub-basin in Chengalpattu district of Tamil Nadu, research works were carried out using Sentinel 2 optical data by relating with ground truth data, to identify the crops in pixel-based cla...

Open access Research Article 10.9734/ijecc/2023/v13i102744

Spatial Yield Assessment of Sorghum (Sorghum Bicolor) Using DSSAT – CERES –Sorghum Model in Solapur, Maharashtra, India

H. Chandrakant Raj, K. Boomiraj, S. Pazhanivelan, N. K. Sathya Moorthy & M. Prasanthrajan · International Journal of Environment and Climate Change · 2023

Accurate estimation of crop yield is crucial for ensuring food security and effective policy making. This study focuses on the estimation of sorghum yield in the Solapur region of Maharashtra (India), employing the Decision Support System for Agrotechnology Transfer (DSSAT) model...

Open access Research Article 10.9734/ijecc/2023/v13i102684

Assessment of Climate Change Impact and Adaptation Strategies for Rainfed Maize (Zea mays L.)

S. Akshaya, S. Kokilavani, S. Pazhanivelan, Ga. Dheebakaran, K. Boomiraj & S. Mohan Kumar · International Journal of Environment and Climate Change · 2023

The study was performed to assess the impact of climate change on spatiotemporal changes in rainfed maize yield. Climate projections data of MIROC-ESM-CHEM model from CMIP6 was used for future climatic scenarios in the maize growing areas of Dindigul and Perambalur districts of T...

Open access Research Article 10.9734/ijecc/2023/v13i102620

Insights into Rainfall Extremities Across the Agroclimatic Zones of Tamil Nadu, India

E. Devadarshini, V. Geethalakshmi, S. Pazhanivelan, Ga. Dheebakaran, R. Kumaraperumal, K. Bhuvaneswari, S. Mohan Kumar & Kumar , S. Mohan · International Journal of Environment and Climate Change · 2023

Rainfall is a crucial agrometeorological parameter that impacts hydrology and agricultural planning in a region. The spatiotemporal changes in the occurrences of precipitation extremes must be monitored to reduce the hazards caused by the fluctuating rainfall pattern. The extreme...

Open access Research Article 10.9734/ijecc/2023/v13i92552

Estimation of Water Spread Area in Selected Tanks of Cuddalore District of Tamil Nadu Using Sentinel-1A SAR Data

Dharun Vembadi Manivannan, Jagadeeswaran R., S. Pazhanivelan, R. Kumaraperumal, M. Raju & R. Pangayar Selvi · International Journal of Environment and Climate Change · 2023

The most important aspect of water resource planning and management is mapping and regular monitoring of surface water bodies. Remote sensing has become most widely used method for measuring and monitoring of water body dynamics due its temporal and spatial availability of high-r...

Open access Research Article 10.9734/ijecc/2023/v13i92555

Assessment of Tank Water Spread Area in Cheyyar Sub Basin Using Sentinel 1A Data

S. Sakthivel, A. P. Sivamurugan, S. Pazhanivelan, K. P. Ragunath & A. Suganthi · International Journal of Environment and Climate Change · 2023

A research study was conducted for estimating the water spread area of tanks in Cheyyar sub basin for the year 2022. Tanks are low-cost irrigation water source and play a key role in recharge of ground water. Mapping and regular monitoring of tanks plays an important role in wate...

Open access Research Article 10.9734/ijecc/2023/v13i92524

Influence of Parent Material and Land Use Types on Soil Properties of Tamil Nadu, India

Varshaa Murugasamy, Ragunath Kaliaperumal, S. Pazhanivelan, S. Maragatham & P. C. Prabhu · International Journal of Environment and Climate Change · 2023

A study was conducted to examinethe impact of parent materials and land use on soil physical and chemical properties in soils of Tamil Nadu. The aim of this study is to evaluate the impact of parent materials and land use systems on soil properties. 15 parent materials(Lime, Marl...

Open access Research Article 10.9734/ijecc/2023/v13i92500

Mango Area Mapping Using Very High-Resolution Satellite Data in Major Blocks of Krishnagiri District, Tamil Nadu, India

M. Harish, Ragunath Kaliaperumal, S. Pazhanivelan, C. Sivakumar & R. Kumaraperumal · International Journal of Environment and Climate Change · 2023

A research study was carried out for mapping mango plantation from LISS IV data in the major blocks of Krishnagiri district, Tamil Nadu where there is substantial production of Mango. A very high-resolution satellite data namely LISS IV was acquired and processed with GIS tools....

Open access Research Article 10.9734/ijecc/2023/v13i92302

Identification of 'Start of Season' in Major Rainfed Crops of Tamil Nadu, India Using Remote Sensing Technology

V. Vasumathi, R. Kalpana, S. Pazhanivelan, R. Kumaraperumal & M. V. Priya · International Journal of Environment and Climate Change · 2022

Cropping seasons are the seasons in which a particular crop is grown. Identification of cropping seasons is crucial for successful cropping in rainfed areas. This research study focuses on the identification of major rainfed crop growing seasons in rainfed areas of Tamil Nadu usi...

Open access Research Article 10.9734/ijecc/2022/v12i1130978

Generating Soil Parent Material Environmental Covariates Using Sentinel – 2A Images for Delineating Soil Attributes

M. Nivas Raj, R. Kumaraperumal, S. Pazhanivelan, D. Muthumanickam, K. P. Ragunath, M. Ashmitha Nihar & N. S. Sudarmanian · International Journal of Environment and Climate Change · 2022

Soil mapping procedures typically involve the combination of possible soil-forming SCORPAN factors. Among the factors, parent materials/ mineralogy has been considered important for the soil classification besides the Organisms (O) and Relief (R). Inclusion of the parent material...

Open access Research Article 10.9734/ijecc/2022/v12i1030922

Identifying Prominent Environmental Covariates Using Variable Selection Methodologies for Digital Soil Mapping of Tamil Nadu, India

T. Tarun Kshatriya, R. Kumaraperumal, D. Muthumanickam, S. Pazhanivelan, K. P. Ragunath & M. Nivas Raj · International Journal of Environment and Climate Change · 2023

High dimensional datasets that depict intricate spatial variations are necessary to predict complex landscape structures and the corresponding soil properties taking into account the size of the research region in addition to the data attributes. The number and quality of the inp...

Open access Research Article 10.9734/ijecc/2023/v13i92469

Performance Evaluation of Drip Irrigation System in Grapes Field

A. Valliammai, Martha Sravani, N. Satheeshkumar & S. Pazhanivelan · International Journal of Environment and Climate Change · 2022

A commercial drip irrigation system was evaluated at farmer’s field under grapes to study the various parameters viz emission uniformity, emitter flow variations and statistical uniformity during the year 2019. The soil characteristics of the experiment field at different profile...

Open access Research Article 10.9734/ijecc/2022/v12i1130941

Dynamics in Surface and Groundwater Irrigation Systems across Districts of Andhra Pradesh, India: An Economic Analysis

U. Madhurima, K. R. Karunakaran, S. Panneerselvam, D. Suresh Kumar & S. Pazhanivelan · Current Journal of Applied Science and Technology · 2023

The study explores the district wise irrigation scenario of Andhra Pradesh state with special reference to net tank irrigated area that impacted net groundwater irrigation system in the state. The failure in improvement of tank irrigation due to rainfall, technical, physical and...

Open access Research Article 10.9734/cjast/2023/v42i34056

Assessment and Mapping of Groundwater Quality for Irrigation in and Around Areas of Paper Board Industry

S. Murali, D. Jawahar, P. Balasubramaniam, M. Maheswari, J. Ejilane & S. Pazhanivelan · International Journal of Environment and Climate Change · 2022

Water has become a scarce commodity due to its over exploitation as well as its pollution due to different reasons. For many important agricultural areas groundwater is the ultimate source of fresh water as surface water sources have been depleted. The quality of groundwater is i...

Open access Research Article 10.9734/ijecc/2022/v12i1030821

Impact of Paper Board Industry Effluent Irrigation to Agroforestry System on Changes in Soil Quality

S. Murali, D. Jawahar, P. Balasubramaniam, M. Maheswari, J. Ejilane & S. Pazhanivelan · International Journal of Plant & Soil Science · 2022

The study assessed the impact of paper board industry effluent irrigation on soil quality under agroforestry system. The agroforestry system was maintained at the Tamil Nadu Newsprint and Paper Limited (TNPL) - Unit II located at Mondipatti Village, Manaparai Taluk, Trichy distri...

Open access Research Article 10.9734/ijpss/2022/v34i1931085

Impact of Drone Spraying of Nutrients on Growth and Yield of Maize Crop

K. Kaniska, R. Jagadeeswaran, R. Kumaraperumal, K. P. Ragunath, Balaji Kannan, D. Muthumanickam & S. Pazhanivelan · International Journal of Environment and Climate Change · 2022

This study aimed at utilizing unmanned aerial vehicle in place of a conventional hand sprayer for the smart delivery of agricultural inputs especially crop nutrients. A field experiment was conducted in the farms of Agricultural Research Station, Bhavanisagar, Tamil Nadu Agricult...

Open access Research Article 10.9734/ijecc/2022/v12i1130972