This data inventory report for the multi-hazard risk assessment of Jammu & Kashmir lists the hazard-related datasets available at the time and the gaps in publicly available information. It is an original project document from the Jammu and Kashmir regional disaster-risk workstream, useful as a primary source on what hazard data existed for the state in 2018.

The Jammu and Kashmir government has confirmed that five glacial lakes in Kashmir are at very high flood risk, and authorities said improved monitoring systems are being planned. The report also notes that early warning systems must be complemented by local awareness and evacuation planning.

The synthesis report notes a contrast in the state of knowledge between Indian Himalayan states, stating: "Local studies have been undertaken in Sikkim, but similar studies are lacking for Jammu and Kashmir." It further explains that while Jammu and Kashmir has the greatest number of glacial lakes and a large number of lakes with moderate or higher levels of GLOF hazard, systematic hazard and risk studies and mapping are comparatively limited for this region.

This preprint reports GLOF process-chain modelling and mapping in Warwan basin, Jammu and Kashmir, and states that early warning systems closer to the source would provide useful lead time in case of potential GLOFs. It is a primary research source relevant to whether recent J&K studies include EWS considerations.

This study presents a comprehensive, manually delineated glacial lake inventory of 155 glacial lakes and a baseline for glacial lake outburst flood susceptibility across the Kashmir Himalaya. It emphasizes preliminary GLOF hazard screening in a data-limited region and identifies five lakes as the most susceptible.

The paper finds that Jammu and Kashmir has the highest cumulative degree of GLOF hazard among Indian regions studied, followed by Uttarakhand, Arunachal Pradesh, Sikkim, and Himachal Pradesh. It also reports that Himachal Pradesh has a lower aggregated hazard level than Jammu and Kashmir.

The District Kishtwar website of the Government of Jammu and Kashmir hosts a document titled "GLACIAL LAKE OUTBURST FLOOD(S) (GLOF) RISK MANAGEMENT PLAN FOR DISTRICT KISHTWAR" with a publish date of 29/11/2024. The entry states that a PDF risk management plan is available: "GLACIAL LAKE OUTBURST FLOOD(S) (GLOF) RISK MANAGEMENT PLAN FOR DISTRICT KISHTWAR (PDF: 2 MB)." This shows at least one *publicly available* GLOF-related hazard/risk management document for a district in Jammu and Kashmir, but does not quantify how many such plans or maps exist across the union territory or compare them to Himachal Pradesh.

This peer-reviewed article assesses GLOF hazard and risk in the Gangabal lake area of the Kashmir Himalaya using remote sensing, GIS, and modeling, showing that published J&K-specific GLOF hazard mapping exists in the literature. The paper is relevant as direct evidence that J&K has publicly available hazard maps at least for some lakes.

This review states that GLOF risk management in the Himalaya-Karakoram region relies on early warning systems, structural measures, community preparedness, and policy integration, and it specifically describes EWSs based on satellite monitoring, automatic weather stations, and real-time surveillance. It provides context for what counts as an EWS in this domain.

In this study of 4,418 glacial lakes in the Indian Himalayan Region, Jammu and Kashmir is identified as the region with the most very high and high danger lakes, while Himachal Pradesh is also included but with fewer such lakes. The study reports that Jammu and Kashmir has the highest aggregated GLOF hazard level, followed by Arunachal Pradesh, Sikkim, Himachal Pradesh, and Uttarakhand.

This technical report by the National Remote Sensing Centre (ISRO) under the National Hydrology Project provides a detailed GLOF risk assessment for Ghepang Ghat glacial lake in the Indus basin (Ladakh/Jammu & Kashmir region). It states that the report includes "GLOF inundation simulation for various scenarios and GLOF risk assessment of Ghepang Ghat lake" and presents inundation maps for downstream areas. The document is a primary, publicly accessible source of GLOF hazard mapping for a specific lake in the (former) Jammu & Kashmir state.

This study on glacial lake outburst flood risk in Himachal Pradesh remaps glacial lakes using Landsat 8 imagery and develops hazard, vulnerability and risk indices. The abstract and methods note that "glacial lakes across Himachal Pradesh have been remapped" and combined with exposure and vulnerability data to identify "risk hotspots". The paper provides state-wide spatial GLOF hazard and risk maps for Himachal Pradesh, which are publicly accessible through the publication and associated figures.

This government portal is a national disaster-mapping hub listing hazard map resources for India, including Jammu and Kashmir among the states and union territories covered. It supports the existence of publicly accessible hazard-mapping infrastructure, though the excerpt shown is not specific to GLOFs.

This report discusses mapping of glacial lake outburst flood exposure and shows that exposure varies across mountain regions and basins. It is relevant as a secondary visualization source for comparing where public-facing hazard information exists, though it does not by itself enumerate state-level early-warning systems.

This technical report provides a GLOF inundation simulation and risk assessment for Mundiksar glacial lake in the Indus basin, indicating that J&K-specific GLOF risk-assessment materials have been published publicly. The snippet in the search result identifies it as an NRSC/Bhuvan report.

ICIMOD's Himalaya-wide work on probability of glacial lake outburst flooding notes that the Jammu and Kashmir region offers medium GLOF risk and refers to hazard maps and geomorphological parameters used for assessment. It is useful background evidence that J&K has published hazard-analysis material, but it does not directly compare public availability of warning systems against Himachal Pradesh.

An AGU conference abstract on "Identifying Glacier Lake Dynamics and vulnerable zones for GLOF in Himachal Pradesh" reports that the authors identified GLOF risk zones and quantified exposure. The abstract notes that "approximately 74 villages are located within Moderate Risk Zones" and that about "15% of Himachal Pradesh falls within the Moderate Risk Zones." This indicates substantial, spatially explicit GLOF hazard and vulnerability mapping has been conducted and presented for Himachal Pradesh, with results shared in the open scientific literature.

A flood hazard database study for the Kullu district, titled "'HiFlo-DAT': A flood hazard event-disaster database for the Kullu district of Himachal Pradesh, Northwest Himalaya, India", compiles 128 flood events at 59 locations over 175 years. The paper describes this as an "open-access database" improving over existing compilations. While focused on flood events broadly (including but not limited to GLOFs), it demonstrates that Himachal Pradesh has detailed, publicly accessible spatial databases and hazard information for flood-related disasters, which can intersect with GLOF hazards in glaciated catchments.

This regional disaster-risk article describes multi-hazard susceptibility zoning in the Jammu division and references the use of hazard maps for disaster risk reduction. It is secondary evidence that J&K has published hazard-mapping work, though not necessarily a dedicated publicly available GLOF atlas.

Fathom’s "Global Flood Map" product page describes high-resolution flood hazard mapping available "across all major flood perils: pluvial, fluvial and coastal, as both depths and Risk Scores, for any region worldwide." It invites users to "Browse the map to learn more" and emphasizes global coverage. This is a commercial, global flood hazard dataset, not specific to glacial lake outburst floods (GLOFs) or to state-level public EWS initiatives in Jammu and Kashmir or Himachal Pradesh, and therefore does not directly address the comparative claim about publicly available GLOF maps or early-warning systems between the two regions.

Background knowledge from Himalayan hazard literature indicates that several Indian initiatives (e.g., the National Hydrology Project and ISRO/NRSC’s Bhuvan platform) have produced glacial lake inventories and site-specific GLOF risk assessments in multiple states including Himachal Pradesh, with publicly accessible technical reports such as the Mundiksar lake assessment. In Jammu and Kashmir, recent work has focused on hazard identification and risk mapping in limited subregions (e.g., Sonamarg, Kishtwar), and public documentation of district-level GLOF risk management (as in Kishtwar) exists but appears less extensive and more recent than for some Himachal sites. This contextual information suggests uneven development and publication of GLOF hazard mapping across states, but precise counts of maps and EWS deployments by state are not readily available in public, consolidated form.

The search result snippet indicates a social-media post discussing GLOF risk in Kashmir and mentioning several glacial lakes, but it is not a reliable source for factual verification. It is included only as low-confidence context and should not be treated as authoritative evidence.

The reel claims a study flagged high-risk lakes in Kashmir and discusses flood threat in Kishtwar, but it is a social-media clip without transparent methodology or primary documentation. It may indicate public discussion of GLOF risk, but it is weak evidence for map or EWS availability.