Pritam Das

Advancing Paddy Rice Mapping in Cloud-Prone Regions Using SAR and Machine Learning: A Case Study in Gangetic West Bengal, India

Pritam Das, Mahesh Kothari, Pradeep Kumar Singh & Manjeet Singh · Journal of Scientific Research and Reports · 2026

Accurate seasonal mapping of paddy rice is important for agricultural monitoring in cloud-prone tropical regions, where optical satellite observations are frequently obstructed during critical growth stages. This study developed a cloud-resilient workflow that integrates multitem...

Open access Research Article 10.9734/jsrr/2026/v32i84436

Multiscale Evaluation of Global Gridded Precipitation Datasets: A Comparison with Observed Precipitation Dataset Over Indo-Gangetic Delta Region

Pritam Das, Mahesh Kothari & Salil Saha · International Journal of Environment and Climate Change · 2026

Accurate precipitation characterisation is vital for agricultural productivity and water resource management in the densely populated Indo-Gangetic Delta. This study provides a comprehensive multiscale evaluation of three prominent global gridded precipitation datasets, i.e., CHI...

Open access Research Article 10.9734/ijecc/2026/v16i85616