Odisha News Today

Sriharikota, Sept 4: The Indian Space Research Organisation (ISRO) successfully launched EOS-05, the country’s first imaging satellite designed to operate from a geosynchronous orbit, aboard the GSLV-F17 rocket from the Satish Dhawan Space Centre here in the early hours of Friday. ISRO said that the state-of-the-art Earth observation spacecraft EOS-05 was successfully placed into sub-geosynchronous orbit about 18 minutes after it lifted off from the spaceport. The GSLV-F17 mission represents the 19th flight of India’s Geosynchronous Satellite Launch Vehicle series. The vehicle employed a 4-metre diameter composite ogive payload fairing, underscoring ISRO’s growing technological sophistication in launch systems. The launch was conducted from the Second Launch Pad (SLP), reinforcing India’s operational capabilities in handling complex missions. EOS-05 is a state-of-the-art spacecraft designed to provide advanced Earth imaging from geosynchronous orbit, a first for India. Unlike satellites in low Earth orbit, EOS-05’s vantage point allows continuous observation of specific regions, enhancing applications in disaster management, agriculture, urban planning, and environmental monitoring. The mission is expected to significantly strengthen India’s remote sensing programme and expand its role in global Earth observation initiatives. Also Read: Rajnath Singh Releases ‘Raksha’ Defence Diplomacy Document ISRO officials described the launch as a landmark achievement, highlighting the strategic importance of geosynchronous imaging for India’s developmental and security needs. The success of EOS-05 also demonstrates India’s ability to integrate cutting-edge satellite technology with reliable launch vehicles, further consolidating its position in the global space community. With EOS-05 now operational, India joins a select group of nations capable of deploying imaging satellites in geosynchronous orbit. The mission reflects ISRO’s continued emphasis on innovation, self-reliance, and expanding the scope of space applications for national development.

Bhubaneswar: Nepal’s catastrophic glacial outburst disaster has brought home a warning that India’s Himalayan states can no longer afford to treat as a distant climate threat. On September 3, the Union Home Ministry convened a high-level meeting with the Himalayan states and key agencies to review preparedness for Glacial Lake Outburst Floods (GLOFs) , with 195 high-risk glacial lakes now under the national risk-management lens. The concern is not merely the number of lakes, but the speed at which the Himalayan cryosphere is changing. The newly released ICIMOD HKH Glacier Outlook 2026 , based on 50 years of glacier observations, finds that mean glacier mass wastage in the Himalaya has nearly doubled after 2000 – from 0.31 metre water equivalent per year before 2000 to 0.66 metre after 2000 . Cumulative glacier mass loss since 1974 has reached nearly 24 metres of water equivalent , while the rate of annual mass loss has accelerated by about 9 cm water equivalent per decade . 195 Lakes, But 67 in the Highest-Risk Zone The NDMA’s risk matrix puts the immediate focus on 195 vulnerable glacial lakes . Of these, 67 are classified as Category A , placing them in the very-high-risk bracket; another 48 are in Category B , while 74 are in Category C , with six awaiting classification pending field validation. The Category-A lakes are particularly significant because they combine rapid lake expansion with vulnerability of the natural moraine dams and proximity to downstream infrastructure. The meeting Thursday identifies Gepang Gath and Samudra Tapu in Himachal Pradesh , and South Lhonak, Gurudongmar and Shako Chho in Sikkim , among the critical hotspots. State-Wise Risk Mapping: The "Ticking Time Bombs" State / Union Territory Vulnerable Lakes (NDMA) Category-A (Very High Risk) Lakes Prime Hotspots & Key Examples Himachal Pradesh 48 Multiple Gepang Gath, Samudra Tapu Sikkim 41 Multiple South Lhonak Lake, Gurudongmar, Shako Chho Ladakh 34 Multiple Gya Lake Arunachal Pradesh 32 Multiple Lakes in Mago Chu Basin, Rani Lake Jammu & Kashmir 27 Multiple Bram Sar Uttarakhand 13 Multiple Lakes in Chamoli & Bhagirathi basins What Failed in Nepal How It Can Be Corrected in India Fragile Early Warning Systems: Automated water gauges in Nepal were physically destroyed by the initial avalanche debris before they could relay warning data downstream. Redundant & Protected Telemetry: India's NDMA is partnering with C-DAC to deploy reinforced, high-elevation telemetry stations positioned safely out of the immediate impact line of rockflows. Transboundary Data Silos: Delays in formal cross-border data-sharing agreements between China and Nepal meant crucial minutes were lost during detection. Satellite-Based Automated Threshold Alerts: India is bypassing ground-data gaps by setting up automated satellite-change alerts with state disaster rooms. Warning Disconnect: People in downstream towns did not receive or understand evacuation alerts until debris hit. Last-Mile Localized Drills: The MHA's new mandate requires states to convert high-altitude data into immediate sirens and text notifications, accompanied by community mock drills in local languages. 2026–30: The Critical Risk Window There is, however, no scientifically defensible calendar date for when a particular glacial lake will burst. A GLOF can be triggered suddenly by a rockfall, avalanche, extreme rainfall event or other destabilising event even after years of apparently gradual lake expansion. What authorities can identify are high-probability operational windows . The current assessment places the most immediate concern on 2026–2030 , when rapidly expanding Category-A lakes could cross structural thresholds if mitigation is delayed or proves inadequate. The annual danger also rises during the July–October period, when intense glacier melt can combine with monsoon cloudbursts and destabilise moraine dams. This means 2026–30 should not be read as a prediction that 67 lakes will burst during those years . Rather, it is the period in which authorities are treating the existing high-risk inventory as requiring urgent mitigation. The longer-term warning is even broader. ICIMOD has placed the region within the 2025–2034 Decade of Action for Cryosphere Science , as continued glacier retreat can generate new proglacial lakes that may not yet feature in existing hazard inventories. Why Nepal Has Changed The Indian Risk Equation The Nepal disaster has sharpened the focus on what happens after a lake bursts. The danger is not confined to the glacial lake itself. A sudden outburst can send a high-energy flood wave carrying boulders, debris and sediment into narrow Himalayan valleys, threatening settlements, roads, bridges and hydropower infrastructure. India has already experienced the cascading consequences. On October 3, 2023 , the South Lhonak Lake GLOF in Sikkim triggered by an upstream rock avalanche and heavy rain caused catastrophic downstream damage, including the destruction of the 1,200-MW Teesta-III dam . That experience has changed the risk calculation: a glacial lake is no longer being viewed in isolation from the infrastructure sitting downstream. Glacier Loss Is Filling The Risk Reservoir The ICIMOD findings provide the scientific backdrop to this heightened concern. Of approximately 63,700 glaciers in the Hindu Kush Himalaya, only 38 have field observations , highlighting how limited direct, long-term monitoring remains compared with the scale of the region. Those 38 glaciers have produced 302 annual mass-balance observations since 1974 , with 270 negative-mass-balance years against only 32 positive years . The latest decade has also seen increasingly frequent extreme melt years, culminating in exceptional glacier losses in 2021/22. For India, this matters because continuing ice loss means more unstable high-altitude landscapes and changing runoff patterns. The formation and expansion of glacial lakes can increase GLOF exposure even as the long-term water-storage capacity of glaciers declines. From Satellite Watch To Ground-Level Warning The government’s response is therefore moving beyond simply counting lakes. The September 3 review has pushed the Himalayan states towards continuous monitoring of vulnerable glacial lakes and avalanche-prone corridors , including mapping potential flood-flow paths and downstream high-risk zones. The next layer is early warning. Automated sensors and threshold-based alerts are being prioritised so that a warning generated high in the mountains can reach downstream populations before roads, bridges or communication networks are severed. The assessment also stresses the need to strengthen the last-mile delivery of warnings and evacuation instructions. Siphoning, Dam Redesign And Early-Warning Systems The response is also turning increasingly engineering-oriented. In Sikkim, high-altitude pumping and siphoning interventions are being used to lower water levels in vulnerable lakes such as Shako Chho , while similar mitigation is being pursued at critical hotspots. The CWC is also pushing specialised GLOF assessments for proposed and under-construction dams in Himalayan catchments, alongside reviews of existing spillway capacity so that infrastructure can withstand the combined impact of extreme floods and a GLOF. Technology is becoming another line of defence, with automated weather and water monitoring, water-spread surveillance and threshold-based warning systems being developed with scientific and technology agencies. The government is simultaneously pressing states to accelerate GLOF mitigation projects sanctioned in 2024. The Bigger Warning: 2026–34 The immediate government response is therefore centred on the 2026–30 risk window , but the scientific warning runs much deeper. ICIMOD’s 50-year record shows that the Himalayan glacier system is undergoing sustained and accelerating mass loss. The report estimates cumulative glacier storage depletion at 23.95 ± 1.44 metres water equivalent between 1974 and 2023 . That makes the GLOF threat a moving target. Some of the lakes on today’s risk list may be mitigated, while new lakes can emerge as glaciers retreat. For India, therefore, the challenge after Nepal is no longer simply whether another GLOF will happen . It is whether the country can identify the next unstable lake early enough, drain or stabilise it where feasible, redesign exposed infrastructure and get an evacuation warning to people downstream before the first debris wave arrives. The 195 lakes are the present inventory. The 2026–30 window is the immediate preparedness test. The 2025–34 cryosphere decade is the much larger strategic challenge. Also Read: Nepal Catastrophe Explained: Not Rain, Disaster Triggered by a 4.4 Quake; China Could Have Saved Lives & The India Lessons| Exclusive