Analyse how satellite-based thermal imaging missions like TRISHNA contribute to climate resilience and natural resource management.

Land surface temperature is a core climate variable, yet field data is sparse and existing satellites trade resolution against frequency. TRISHNA — the joint ISRO–CNES thermal infrared mission planned for 2027 — closes this gap, converting heat signals into actionable climate and resource intelligence.

The capability, decomposed

• Measures surface temperature and emissivity to compute the surface energy budget, using a CNES thermal infrared payload with an ISRO visible-to-shortwave sensor [1].
• Derives evapotranspiration and plant water stress, the physical link between heat and the water cycle [2].
• Delivers 57 m resolution over land and coasts (1 km over ocean/polar) with a roughly 3-day revisit at the equator — high spatial and temporal resolution together [1][2].

Contribution to climate resilience

• Urban heat islands: fine-grained city heat maps sharpen heat action plans and cooling-oriented urban planning [1].
• Cryosphere monitoring: tracks glacier and snow-melt dynamics feeding Himalayan river systems [1].
• Hazard detection: volcanic and geothermal activity monitoring supports early warning [1].

Contribution to natural resource management

• Agriculture: crop water stress and irrigation-need mapping enables demand-based scheduling and water-use efficiency [1][2].
• Water resources: field-scale evapotranspiration data improves basin-level accounting, otherwise reliant on coarse or monthly inputs [2].
• Coastal ecology: coastal water quality and thermal-plume assessment aids blue-economy regulation [1].

Conditions that limit the payoff

• Launch reliability: consecutive PSLV third-stage anomalies — PSLV-C62 (January 2026) lost EOS-N1 to a roll-rate disturbance — make assured access to orbit a precondition [3].
• Last-mile use: value depends on translating data into advisories for farmers and municipal bodies.

Reassembled, TRISHNA shows thermal imaging shifting Earth observation from mapping what land is to diagnosing how it functions under heat and water stress. Coupling such data with extension services and state heat action plans would embed it in adaptation planning, advancing SDG commitments on water, food and climate action that the mission explicitly supports [1].