Remote Sensing — Prelims Strategy

Prelims Strategy

For Prelims, the strategy for remote sensing should focus on factual accuracy and conceptual clarity. Aspirants must master the basic definitions: what remote sensing is, the principles of electromagnetic radiation, and the differences between active/passive and optical/microwave systems.

Pay close attention to the four types of resolution (spatial, spectral, temporal, radiometric) and be able to differentiate them clearly, as these are frequent sources of trap questions. A thorough understanding of India's remote sensing satellites is non-negotiable.

Memorize the primary purpose and key payloads of major ISRO missions like Resourcesat (LISS, AWiFS), Cartosat (high-res pan/multi-spectral), Oceansat (OCM, Scatsat), and RISAT (SAR). Link these missions to their core applications (e.

g., Cartosat for urban mapping, RISAT for disaster management). Recent developments like hyperspectral imaging and AI/ML integration should be understood at a conceptual level, focusing on their 'what' and 'why'.

Practice MCQs that test direct facts, comparative analysis, and application scenarios. Vyyuha's analysis suggests that questions often test the unique capabilities of different sensor types or the specific contributions of Indian satellites to various sectors.