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K. P. Ragunath

Publications (15)

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

Rainfall Variability and Drought Characterisation Using SPI and Rainfall Deviation in Tirupur District, India (1991–2023)

Sellaperumal Pazhanivelan, K. J. D. Karthika, S. Satheesh, K. P. Ragunath & K. Sneka · International Journal of Environment and Climate Change · 2026

Drought remains a critical hazard in semi-arid agro-climatic zones, with substantial effects on agricultural productivity and regional water resources. This study characterises rainfall variability and evaluates meteorological drought dynamics in Tirupur district, Tamil Nadu, Ind...

Open access Research Article 10.9734/ijecc/2026/v16i85586

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

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

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

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

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

Effect of Chemical and Non-Chemical Weed Management Practices in Direct Seeded Rice

V. Kalaimathi, C. Sivakumar, P. Parasuraman, R. Sivakumar, K. P. Ragunath & M. S. Aneesa Rani · International Journal of Plant & Soil Science · 2023

A field experiment was conducted at Regional Research Station, Tamil Nadu Agricultural University, Paiyur, Tamil Nadu, India during the Summer of 2022 to study the effect of herbicide combination and non-chemical weed management techniques in puddled direct seeded rice. The exper...

Open access Research Article 10.9734/ijpss/2023/v35i183479

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

Intercomparision of Drone and Conventional Spraying Nutrients on Crop Growth and Yield in Black Gram

P. Nandhini, D. Muthumanickam, R. S. Pazhanivelan, R. Kumaraperumal, K. P. Ragunath & N. S. Sudarmanian · International Journal of Plant & Soil Science · 2022

An experiment was conducted to reveal the effect of drone spraying of foliar nutrients on the crop growth and yield in black gram at Agricultural Research station, Bhavanisagar in Random block design with 12 treatments with 3 replications. The biometric parameters viz., plant hei...

Open access Research Article 10.9734/ijpss/2022/v34i2031231

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

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