Punjab Flood, Punjab India (September, 2025)
The 2025 Punjab floods, among the state’s worst in decades, were triggered by a rare convergence of a western disturbance and monsoon winds, causing back-to-back heavy rainfall. Upstream catchments in Himachal Pradesh and Jammu & Kashmir saw 46% above-normal rainfall, while Punjab recorded a 388% rainfall surplus in one week. Human factors worsened the crisis: encroachments on water channels, weak embankments, illegal sand mining, and delayed releases from Bhakra and Pong dams contributed to the flooding.
Impact:
Deaths: 51 (as of Sept 10)
Villages Affected: 2,185 across 23 districts
Population Impacted: 3.84 lakh+
Crops Damaged: 4.8 lakh acres,
particularly paddy Response: NDRF, Indian Army, Air Force, and BSF conducted rescue operations.
In the map above, the blue line shows the Sutlej River, and the red overlay depicts today’s water extent of the flooded river
Rising Temperatures: Heat Wave Alert for May 2025
As summer intensifies, India is witnessing a significant impact of heatwaves across various regions. The month of May is particularly critical, with heatwave alerts issued for several states, marking major heat zones across the country.
Central, northern, and parts of western India are among the worst affected, with temperatures soaring above normal. These extreme conditions not only pose serious health risks such as heat strokes and dehydration but also strain power supply, agriculture, and water resources.
Authorities are urging citizens to stay indoors during peak afternoon hours, remain hydrated, and follow safety guidelines issued by local health departments.
Monitoring and early warnings through geospatial tools and satellite data are proving vital in identifying vulnerable zones and planning responses effectively.
As climate change continues to amplify the intensity and frequency of such events, preparedness and awareness become more important than ever.
Every monsoon season, the Ganga-Brahmaputra basin (Uttarakhand, Bihar, Assam, etc) faces severe flooding, causing widespread damage and disruption.
To help monitor and visualize the flood intensity and its affect to major socio-economical piller(Crop and Builtup), We've prepared a the application. This tool not only shows real-time flood data but also provides crucial statistics and graphs on inundated or affected areas.
Monthly Precipitation Trend (mm) can help to Analyze and Predict Drought Severity, Flood Prediction, Empowering Precision in Agriculture and Timely Hazard Mitigation
Explore snow cover (2000-Present) with this interactive Application designed for glaciologists, remote sensing specialists, and cryo-enthusiasts. Track seasonal snow accumulation across Asia, analyze glacier dynamics, and discover snow percentage and debris layer.
This study analyzes drought severity in the Bundelkhand region from 2000 to 2024 using VCI during the major cropping season (June–September). Severe droughts occurred between 2000 and 2005, with 2002 being the harshest. Analysis at five-year intervals (2000, 2005, 2010, 2015, 2020, 2024) shows a declining drought trend. Droughts impacted the environment (land degradation), agriculture (crop failures), society (migration, livelihood loss), and national food security. Recent years indicate improvement, highlighting the importance of continued drought mitigation and sustainable resource management.
Temperature Trend Analysis
Understanding the spatial distribution of CO₂ concentration is crucial for analyzing climate trends, environmental impact, and mitigation strategies. Using remote sensing and GIS-based analysis, we visualize the yearly mean CO₂ levels for 2024, highlighting regional variations and emerging patterns.
This data-driven approach helps identify high-emission zones, track urban and industrial contributions, and assess carbon sequestration by forests and water bodies. By integrating satellite observations with ground-based monitoring, we provide accurate, real-time insights for climate scientists, policymakers, and sustainability planners.
Explore the geospatial trends of CO₂ emissions and contribute to climate action with data-driven insights!
Images: Jaidev Jamwal
Tribeni Sangam (December, 2024)
Tribeni Sangam (January, 2025)
Tribeni Sangam (December, 2024)
Tribeni Sangam (January, 2025)
Using Earth observation data, including multispectral and SAR imagery, tracked the Kumbh Mela 2025's transformation. Beginning in December, study captured a baseline of the Prayagraj region surrounding Triveni Sangam, showing natural land cover and existing structures. By the end of January, the landscape was unrecognizable; thousands of temporary tents, newly constructed roads, and pontoon bridges appeared. The remote sensing insights enabled a clear view of this rapid development, highlighting the power of geospatial technology in monitoring large-scale events like Kumbh Mela.
Remote Sensing (RS) and Geographic Information Systems (GIS) are revolutionizing modern defense operations. RS gathers real-time data through satellites, drones, and aircraft, while GIS processes and visualizes this data, enabling informed decision-making.
In defense, RS provides critical applications like border surveillance, disaster response, and mission planning. High-resolution imagery captures terrain, troop movements, and potential threats, offering invaluable insights for strategic operations.
GIS complements RS by integrating spatial data with other layers, creating actionable intelligence. Its applications include logistics optimization, situational awareness, and training simulations. GIS also supports rapid decision-making through real-time mapping of battlefield conditions.
The combination of RS and GIS empowers defense forces with capabilities like threat analysis, infrastructure management, and enhanced strategic planning. While challenges such as data privacy and system integration remain, advancements in AI and machine learning promise to refine these technologies further.
By leveraging RS and GIS, defense organizations can ensure operational efficiency and a robust response to emerging challenges, cementing their role as indispensable tools in national security. Full Report...
Geographic Information Systems (GIS) are pivotal in India's environmental management, offering sophisticated tools for data integration, spatial analysis, and visualization. These capabilities are essential for addressing the nation's complex environmental challenges. In the realm of natural resource management, GIS facilitates the mapping and monitoring of forests, water bodies, and mineral resources. The National Natural Resources Management System (NNRMS) exemplifies this application by utilizing GIS to aggregate data from remote sensing satellites, aiding in the sustainable management of India's natural assets.
GIS also plays a crucial role in pollution control. By integrating data on air and water quality, industrial emissions, and waste disposal sites, GIS enables authorities to identify pollution hotspots and devise targeted mitigation strategies. For instance, in urban areas like Delhi, GIS-based analyses assist in understanding the spatial distribution of air pollutants, informing policy decisions to combat air quality issues. Addition, GIS supports disaster management by identifying vulnerable zones prone to floods, earthquakes, or cyclones. This spatial information is vital for developing effective disaster preparedness and response plans, minimizing environmental and human impacts. Specially in agriculture, GIS aids in precision farming by analyzing soil health, crop patterns, and irrigation needs. This technology enhances productivity while promoting sustainable farming practices, crucial for India's agrarian economy. GIS is an indispensable tool in India's environmental management landscape, enabling informed decision-making and promoting sustainable development across various sectors.
Leveraging GIS and Remote Sensing for Optimal Solar Plant Installation
Geographic Information Systems (GIS) and remote sensing play a vital role in ensuring the efficient installation of solar photovoltaic (PV) plants. These technologies help identify ideal locations, optimize resources, and maximize energy output. In India, datasets like the Global Solar Atlas provide detailed solar irradiance data, critical for assessing potential energy yield. Meanwhile, the National Land Cover Database (NLCD) helps pinpoint non-agricultural lands suited for solar farms, minimizing environmental conflicts. By integrating spatial datasets, GIS platforms analyze factors such as solar potential, land slope, proximity to infrastructure, and environmental sensitivity.
Advanced tools like Multi-Criteria Decision Analysis (MCDA) and Analytic Hierarchy Process (AHP) enable decision-makers to weigh these factors effectively. Remote sensing imagery from satellites like Landsat and Sentinel further enhances land-use analysis, enabling the selection of locations with minimal environmental disruption. Machine learning models trained on datasets like GloSoFarID are also emerging as game-changers, refining solar site evaluations through predictive analytics. These technologies together ensure solar plants are strategically positioned for maximum energy generation while aligning with sustainable development goals. By leveraging GIS and remote sensing, India can expand its solar energy footprint, balancing economic growth with environmental stewardship.
Images: Jonathan Bouchet,Kaggle
Geospatial technology for vizualizing Nuclear Power Plants
Geospatial technology revolutionize nuclear power plant management by enabling detailed visualization, monitoring, and analysis. GIS maps facility locations with layered data on urban proximity, ecological zones, and geological hazards, while remote sensing provides real-time environmental data, as demonstrated by India's Kudankulam Nuclear Power Plant assessment using satellite imagery and GIS for baseline monitoring.
Globally, approximately 440 commercial nuclear reactors in 30 countries generate about 9% of the world’s electricity. Leading nations such as the United States, France, China, and Russia account for the majority, with detailed statistics available in the World Nuclear Association's Reactor Database. Notable incidents—Chernobyl (1986), Fukushima Daiichi (2011), and Three Mile Island (1979)—have profoundly influenced safety protocols and emergency planning, driving advancements in reactor design and regulation.
Temporal trends show rapid expansion from the 1950s to 1970s, a slowdown in the 1980s–1990s due to safety concerns, and a resurgence since the 2000s spurred by low-carbon initiatives. Currently, 439 reactors operate globally at a combined capacity of roughly 398,108 MWe, with 66 reactors under construction. Additionally, GIS and remote sensing support decommissioning processes, ensuring accurate environmental monitoring and safe site management. This approach is essential for global energy sustainability.
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