The colossal Himalayan risks – Himachal Floods of 2023. Are we prepared? 

The Indian Himalayan region (IHR) is spread across 13 states/union territories, and nearly 50 million people reside there. IHR stretches about 2,400 kilometres across the northern border of India, covering an area of approximately 500,000 km2. In IHR, natural hazards such as landslides, avalanches, cloudbursts, floods and flashfloods are common, especially during the June-to-September monsoon season, and they often become disastrous for those living on the Himalaya’s fringes. The disastrous events are becoming more frequent as global warming melts the Himalayan glaciers. According to the Global Climate Risk Index Report 2019, India is the 14th most vulnerable country in the world to climate extreme events. India suffered an economic loss of USD 79.5 billion due to climate-related disasters in the last 20 years, according to the UN report titled Economic Losses, Poverty and Disasters (1998-2017). The economic losses due to disasters in the state of Himachal were nearly Rs 8,000 crore between 2017 and 2022 (Himachal Pradesh State Disaster Management Authority). The annual losses from climate-related disasters are steadily increasing everywhere. This shows that more people and infrastructure are exposed to natural hazards, leading to increased climate risk. The 2,500 km-long Himalayan plate boundary is also intensely prone to powerful earthquakes. Scientists fear a great earthquake of 8.5 magnitude or higher in the region. Such a predicted seismic event will create cascading disasters and have a catastrophic effect on the area. Are we prepared for such extreme events?

Although the population density is not very high, the states in IHR attract a vast number of tourists. The rapid urbanization and tourism activities are leading to increased human interference in the fragile hilly areas, especially in the Himachal and Uttarakhand regions. There has been an unprecedented growth in tourist arrivals in the Indian Himalayan states in the past few years. It is estimated that by 2025, 240 million tourists will visit yearly; it was 100 million in 2014, see Figure 1 (NITI Aayog, 2018). The extensive development and tourism activities will affect the soil strength and cause soil loosening. During extreme rainfall events, the soil can easily crack, trigger landslides and lead to road blockages. The impetus to urbanization and unparalleled tourism is bound to bring rapid regional climate variations and transform natural disasters into man-made or anthropogenic disasters.

Figure 1 Tourist arrival forecast in the IHR states by 2025 (Source: NITI Aayog, 2018)

Hazard scenario in Himachal

Floods in Himachal have been a damaging phenomenon, and one of the earliest records of destructive floods dates back to 1894 in River Beas. There were flash flood events in Beas in the 1980s, and the flood situation worsened from 1992 to 1996, see Figure 2. Extreme rainfall during the monsoon season is the primary cause of floods in the state; however, cloudbursts and landslides also contribute to floods. In 1971-2009, 362 flood events were recorded in the state. Though the flood frequency was high at certain periods, the overall trend shows an increase in flood events in the state. The spatial distribution of floods in the state is shown in Figure 3 (left). 

Figure 2 Flood frequency and trend in Himachal Pradesh from 1971 to 2009
Figure 3 Spatial distribution of floods (left) and landslides (right) in Himachal Pradesh (Source: Simrit Kahlon, 2014)

The state also has an established history of landslides. Landslide activities in the past were majorly associated with earthquakes and extreme rainfall events. As per the Government of India (2003), nearly 97.42% of the state’s geographical area is prone to landslide hazards. Historic landslide locations and frequency are shown spatially in Figure 3 (right). The decadal frequency of landslides in all the districts has risen since the 1980s, refer to Figure 4. In the 1990s, 219 events were recorded in the state, at an annual average of about 22 events. In comparison, 474 events were recorded in the 2000s, at a yearly average of about 47 events per year. Table 1 shows a clear increase in the decadal distribution of floods and landslides in the state from the 1980s till the 2000s.

Figure 4 Landslide frequency in Himachal Pradesh from 1971 to 2009 (Source: Simrit Kahlon, 2014)
DecadeTotal LandslidesDecadal AverageTotal floodsDecadal Average
Table 1 Decadal distribution of landslides and floods (Source: Simrit Kahlon, 2014 & Chandel et al., 2014)

State Calamity in 2023

Himachal Pradesh and other neighbouring states experienced torrential rains and landslides during the 2023 monsoon season. Himachal Pradesh was worst hit and bore the brunt of the rain. As per the weather department, Himachal has received 249.6 mm of average rainfall between July 1 and July 11 compared to the normal of 76.6 mm, an excess of 226 per cent and the highest for a 12-day period since 2005. In particular, the Kinnaur district received 500 per cent excess rains, followed by Solan, Sirmaur, Shimla, Bilaspur and Kullu districts with 426, 367, 360, 325, and 283 per cent excess rainfall. On August 18, the Himachal state government declared the rains a ‘state calamity’ and the whole state a ‘natural calamity affected area’. According to the government data, 72 flash floods were recorded in the state from the onset of monsoon on June 24 until September 4, 50% of which occurred from July 8-10 only (IMD, Shimla Centre). In comparison, only ten flash flood events were recorded in 2020, see Figure 5. Cloudbursts were reported in the Tunag, Pundoh and Seraj districts, and 131 landslide incidents were reported across the state. Unprecedented extreme rainfall and rainfall-related catastrophic events, cloud bursts, landslides and flash floods demolished buildings, damaged bridges and washed off several vehicles.

Figure 5 Frequency of flash floods from 2020 till 2023


The 6th Assessment Report by the Intergovernmental Panel on Climate Change (IPCC) has clearly stated that the Indian Himalayan region (IHR) and Indian coastal region are at high risk from climate change. As many as 348 people have died, and 336 have been injured since June 24 due to monsoon-led natural calamities such as extreme rainfall, cloudbursts, landslides, and building collapses. The State Disaster Management Department said that nearly 2,230 houses were fully damaged, and 9,819 were partially damaged (retrieved from the Indian Express articles/reports on the events). The monsoon-led calamities have also disrupted roads, power lines, communication networks and railway lines. About 1,200 roads were blocked or inundated due to landslides and floods in the state.

We used the Sentinel-1 SAR data to map the flood extent of the affected area in Google Earth Engine. This was achieved by comparing the before-flood (June) satellite imagery with after-flood satellite imagery (July-Aug). Figure 6 shows that major flooding happened around the Beas River in the Kangra district and the Sutlej River in the Bilaspur district. An assessment at the district level shows that 368 km2, about 6.4% of the district area, got flooded in Kangra district (see Figure 7), and in the case of Bilaspur district, 69 km2, around 5.9% of the district area got flooded (see Figure 8). 

Figure 6 Flood area extent in Himachal Pradesh
Figure 7 Flood area extent in Kangra district
Figure 8 Flood area extent in Bilaspur district of Himachal Pradesh

We have also assessed the extent of damage to the vegetative cover in the state using the Normalized Difference Vegetation Index (NDVI) on Sentinel-2 multi-spectral imagery, see Figure 9. The land cover changes were assessed for five classes, of which three classes are Sparce Vegetation (Crops and grass), Moderate Vegetation (Agroforestry) and Dense Vegetation (Forests); see Table 2 for the changes in the area under each class.  The results show that approximately 3956 km2 of vegetative land, about 7.1% of the state, has been converted to wasteland or fallow land after the floods. In particular, there is a reduction of 5952 kmof forest land in the state. 

Figure 9 NDVI maps of Himachal Pradesh highlighting the extent of vegetation damage. Top left: Before flood, Top right: After flood, Below: Difference image highlighting the damage
ClassesDescriptionBefore floods (in km2)After floods (in km2)
Non-VegetationWater (deep & shallow); sand2613927625
Waste LandFallow/Wasteland650610462
Sparse VegetationCrop, grass32744373
Moderate VegetationAgroforestry71566569
Dense VegetationForest125186566
Table 2 Land cover classification of Himachal Pradesh Using Sentinel-2 and NDVI. Note: Total area of Himachal Pradesh is 55673 km2

A similar analysis is conducted for the most affected districts in the state. In the Kangra district of Himachal Pradesh, about 1238 km2 of land under crops & agroforestry was affected by the floods, which is about 21.5% of the district and 46% of the crops & agroforestry cover, refer to Table 3 and Figure 10.  In Solan district of Himachal Pradesh, about 172 km2 of land under crops & agroforestry was affected by the floods, which is about 9% of the district and 35% of crops & agroforestry cover, refer to Table 4.  In Shimla district of Himachal Pradesh, approximately 1301 km2 of forest land was affected by the floods, which is about 25.35% of the district and 81.5% of the total forest cover, refer to Table 5.  In the Mandi district of Himachal Pradesh, approximately 1278 km2 of forest land was affected by the floods, which is about 32.3% of the district and 72% of the total forest cover, refer toTable 6. The results show that the floods impacted vast areas under crops, agroforestry and forests. 

Figure 10 NDVI maps of Kangra district of Himachal Pradesh highlighting the extent of vegetation damage. Top left: Before flood, Top right: After flood, Below: Difference image highlighting the damage
ClassesDescriptionBefore floods (in km2)After floods (in km2)
Non-VegetationWater (deep & shallow); sand13281820
Waste LandFallow/Wasteland510825
Sparse VegetationCrop, grass1467500
Moderate VegetationAgroforestry1223952
Dense VegetationForest21771608
Table 3 Land cover classification of the Kangra district in Himachal Pradesh Using Sentinel-2 and NDVI. Note: Total area of Kangra district is 5739 km2

ClassesDescriptionBefore floods (in km2)After floods (in km2)
Non-VegetationWater (deep & shallow); sand182596
Waste LandFallow/Wasteland300491
Sparse VegetationCrop, grass221202
Moderate VegetationAgroforestry466313
Dense VegetationForest787354
Table 4 Land cover classification of Solan district in Himachal Pradesh Using Sentinel-2 and NDVI. Note: Total area of Solan district is 1936 km2

ClassesDescriptionBefore floods (in km2)After floods (in km2)
Non-VegetationWater (deep & shallow); sand15502410
Waste LandFallow/Wasteland9141429
Sparse VegetationCrop, grass348465
Moderate VegetationAgroforestry724532
Dense VegetationForest1595294
Table 5 Land cover classification of Shimla district in Himachal Pradesh Using Sentinel-2 and NDVI. Note: Total area of Shimla district is 5131 km2

ClassesDescriptionBefore floods (in km2)After floods (in km2)
Non-VegetationWater (deep & shallow); sand5081720
Waste LandFallow/Wasteland445760
Sparse VegetationCrop, grass297381
Moderate VegetationAgroforestry918584
Dense VegetationForest1780502
Table 6 Land cover classification of Mandi district in Himachal Pradesh Using Sentinel-2 and NDVI. . Note: Total area of Mandi district is 3950 km2

Is climate change alone to be blamed?

Climate change must have increased the intensity and frequency of extreme weather events, but is climate change alone to blame for all the devastation in Himachal Pradesh? The high impact of the rains was observed in the areas with high infrastructure development, deforestation for infrastructure and hill cutting for road widening. Mega hydropower projects and several dams were constructed in the fragile and eco-sensitive zones of the state. As per the 2022 landslide risk assessment report by the Himachal government, 77 blocks having 18,577 villages are landslide-prone. As per the experts, the reason for that is deforestation and the replacement of old stone and clay houses with concrete ones. An investigation by India Today revealed that many buildings that collapsed or were damaged in the floods were constructed on river banks or active floodplains by encroaching. The revenue records have also not defined the river boundaries, which gave rise to illegal constructions, threatening ecosystems and human life. Thefloods have also brought attention to the illicit mining and construction activities on the river banks. Tourism rush, rapid urbanization and unplanned infrastructure development are the major causes of massive devastation in the state.

Mansi Asher, who has published several papers on the changing climatology of Himachal Pradesh, said, “There is enough data from the department of science and technology of Himachal government to suggest that frequency of cloudbursts have increased, and so have landslides. The maximum impact was seen near the infrastructure sites which disturb the hills.”

Are we prepared?

The Himalayan region is a dynamic landscape and is at a high risk from climate change. The people living in these areas are prone to high seismic activities, cloudbursts, floods, extreme rainfall events, and forest fires. Clearly, massive efforts are required to protect the people and infrastructure in the Himalayan region from climate change disasters. The monsoon floods in Himachal have caused massive devastation, and the state is in need of an effective multi-hazard preparedness and disaster mitigation programme. 

Need for climate vulnerability assessments at village level

An effective disaster mitigation programme will have several components. Some of the major components include hazard mapping, hazard impact assessments, vulnerability assessments, risk assessments, and deriving mitigation strategies based on cost-benefit analyses. Vulnerability assessments are an inevitable prerequisite for disaster risk reduction and climate change mitigation measures. Climate change vulnerability assessments at the community level or village level will reinforce the disaster preparedness of the state. Village-level vulnerability and risk assessments will assist policymakers and decision-makers in effectively increasing the adaptive capacity and preparedness towards extreme weather events. It also helps in prioritizing the villages for resource allocation. It also helps in community-based disaster management, i.e., encouraging communities at risk to get engaged in all phases of disaster management. 

Sustainable land-use planning

Another component that needs attention is land-use planning. Sustainable land-use planning, which encourages people living in the most vulnerable areas to move, is essential. Sustainable Land Use Planning for urban climate resilience includes:

  • limiting development in hazard-prone areas
  • ensuring that the built environment can withstand a range of natural disasters
  • helping to preserve natural ecosystems
  • protecting communities against hazards
  • promoting nature-based measures for adaptation
  • educating stakeholders and decision makers about risks and opportunities and fostering dialogue about adaptation

In Himachal, several houses were illegally constructed in the flood plains and river banks. They are at high risk from future climate hazards. The government needs to bring strict land-use planning that encompasses the disaster and climate risks.

We also need to update our risk assessment methodologies and develop disaster mitigation strategies using the geographic information system (GIS) and remote sensing technologies. Web-GIS-based decision support systems are extremely helpful for governments, research organizations, companies, communities, and NGOs to transfer knowledge and expertise, and share the available data.





The Curious case of querying large raster datasets on the fly via an internet facing portal.

Geospatial data is quite different from any other data you can work with it being difficult to understand and manipulate, one of our clients came up with a unique request to work with raster datasets and find a particular value of a pixel and statistical information on the fly which was also understandable to a no GIS user. Although, this may seem simple enough process but let me explain how it is quite different on the surface and what’s beneath. But first of all, let’s get into what are different Geospatial datasets.

Geospatial data can be broadly divided into two parts:-

Vector Data: Vector data represents geographic features as points, lines, and polygons. It includes information about the coordinates, shape, and attributes of these features. Examples of vector data include road networks, boundaries, buildings, and vegetation boundaries. Vector data is often used for detailed spatial analysis and precise representation of features.

Raster Data: Raster data represents geographic information as a grid of cells or pixels, where each cell contains a value. It is commonly used to represent continuous phenomena, such as elevation, satellite imagery, and climate data. Raster data is structured as a grid, and each cell corresponds to a specific location and carries information about the attribute being represented.

Since in GISKernel, we have an expertise in working with different type of Geospatial data one of our client came up with a unique request of processing Raster data quite smoothly and fast, as Raster data is continuous and quite large on the fly information of a particular cell/ grid have to either stored as a cache or takes time to show up. Furthermore, the client which we were working on doesn’t have any mapping interface to process the request as they wanted a particular cells grid/ information either as a pixel value or a band value.

As Raster are huge files, finding a particular pixel value on a non-mapping interface is like finding a needle in the stack. Also, Raster’s and databases dont fit in well with each other as the data tables are to be created with raster datasets which eventually leads to change in raster datasets data creation, furthermore we needed to filter huge amount of spatial data which tens of thousands of people would be able to query on the fly via just uploading the raster files to the portal.

To tackle all the abovementioned scenarios, we curated a custom application which consisted of:-

Using AWS S3 buckets for Data storage:- We chose S3 buckets for Data Storage for continuous access over the cloud and availability of data, as different users can upload, and the application can access the data everywhere once connected with internet.

Backend data management via POSTGRES SQL:- We chose POSTGRES as it was open source and free to use. Also, it is malleable with geospatial data types, these included running fast spatial queries either from a database or an API with using raster2pgsql extension in backend to allow raster datasets to sit in and be allowed to query.

GDAL Libraries:- To properly use this tool, we also used GDAL libraries which improved raster data handling massively.

Django Based API application:- We used this API to provide a seamless experience for our users once they have the access to the application hosted over the internet. This frontend assisted our users in querying out all the requirements from getting a particular pixel value in a raster dataset to getting a mean median and mode of an extent which massively reduced their dependency on directly accessing the datasets and then applying queries. 


Application Overview:-

The simple application structure of an odd task greatly reduced the stress on database maintenance, user accessibility, and non-GIS users accessing spatial datasets. As a GIS folk we understand how rasters work and a particular value from a grid is easy for us to load up on a map and imagine, but the effectiveness of this tool can help any non GIS user to extract data from a raster dataset without the hassle of loading, downloading and deleting a GIS software.

How Has GISKernel Been Adding Value for its Customers since 2018


GISKernel is a leading provider of Geographic Information System (GIS) and remote sensing services. The company, led by Akshay Loya, offers a range of services, including GIS consulting, software development, and data management. Our vision is to help organizations leverage the power of GIS technology to improve their operations and achieve their goals.

The company has a proven track record of success, serving a growing number of satisfied clients each year. Through a commitment to understanding the customers’ needs and delivering top-notch products and services, GISKernel is positively impacting the businesses and organizations it serves. In this blog post, we aim to highlight the ways in which GISKernel is adding value for its customers.

How Has GISKernel Been Adding Value for its Customers?

#1 Understanding the Customer’s Needs

At GISKernel, the key to delivering value to its customers is by taking the time to understand their needs and goals. We make a concerted effort to engage with our customers, listen to their requirements, and gain an understanding of what they hope to achieve with the help of GIS technology.

This way, we ensure that the services and products we deliver are tailored to the specific needs of each customer. Even the founder of Construction Maps, Stepanka, asserted, “They made time to clearly understand the scope, always responded in a timely manner” to provide progressive updates to their projects regularly. Hence, our work satisfied the customers and helped us to build long-term relationships with them.

#2 Delivering High-Quality Products and Services

GISKernel is committed to delivering high-quality products and services to its customers. Our team of experienced GIS specialists and app developers is dedicated to ensuring that every project they take on is executed with precision and a commitment to delivering the best possible outcome.

One of the key ways we can consistently deliver high-quality products and services is by staying up-to-date with the latest advancements in GIS technology. Our team of experts regularly attends industry events, workshops, and training programs, to ensure that they have the knowledge and skills they need to provide the best possible service to our customers.

We also employ a rigorous quality control process, where every project we undertake is subject to multiple levels of review and testing, to ensure that the products and services we deliver are of the highest quality. One of our clients, Akhtar Abbas – the lead distributor in Airtel Payments Bank, believes that GISKernel provides “seamless delivery with no compromise on quality of work.” This commitment to quality, combined with our expertise in GIS and application development, is what allows us to consistently yield exceptional results for our customers.

#3 Simplifying Technical Concepts

We understand that not everyone is familiar with the technicalities of GIS and application development. That’s why we make it a point to simplify complex technical concepts and present them in a way that can be easily understood by non-technical customers. It, in turn, leads to better communication, increased collaboration, and a deeper understanding of the solutions we deliver.

In addition to improving communication and understanding, this approach has the counted benefit of making the development process more efficient. When our customers have a clear insight into what we are trying to achieve, they are better equipped to provide the information and feedback we need to deliver results that exceed their expectations.

Here is what the Managing Director of Wondergenie PPMO &C, Aseem Saxena, said: “GISKernel made it look very simple and easy to understand and delivered with absolutely zero errors in an inconceivable timeline.”

#4 Finding Innovative Solutions

GISKernel has a team of experts with a broad knowledge of GIS applications and development experience. This expertise enables us to select the most appropriate tools and technologies and find the best solution for each of our customer’s unique needs.

Our team stays up-to-date with the latest advancements in GIS technology and continuously develops their skills to ensure that they are consistently delivering cutting-edge solutions to our customers. With this deep understanding of the field, we are able to find innovative solutions to even the most complex problems.

#5 Maintaining Excellent Communication

Effective communication is critical for any successful project and GISKernel understands this well. Hence, we pose great importance on clear and prompt communication throughout a project.

Our team takes the time to listen to customers’ needs and concerns and provides regular updates on the project’s progress. This approach helps to minimize misunderstandings and ensures that customers are always aware of what is happening with their projects.

Real-Time Implementation of GIS Technology – Case Studies

GISKernel has helped several public and private sector customers, including Fortune 500 companies, to implement the GIS technology. Following are some case studies that prove how we have been adding value since our inception:

Improving Air Quality Awareness with Real-Time GIS Technology for the Government of Dubai  

The Government of Dubai needed a real-time solution to display Air Quality Index (AQI) on a web map. GISKernel and its team helped them by creating a thematic map of the community boundaries and integrated AQI values, which were obtained from a NetCDF being updated every single hour. The resulting web application provided the Government of Dubai with a powerful tool to monitor AQI in real-time, supporting them to inform decisions and improve the overall air quality for the citizens of Dubai.

Revolutionizing Network Management with a GIS-based Web Application for KSEB, India

In today’s fast-paced world, having real-time information about the electric utility system is crucial for efficient management and decision-making. It was the greatest challenge faced by the Kerala State Electricity Board (KSEB) in India. They were using a traditional and expensive solution provided by ESRI, but it was not meeting their needs. This is where GISKernel stepped in and developed a custom GIS web application specifically tailored to their requirements. The solution brought transparency to the system, reduced the workload of paperwork, and provided real-time information about the electric utility network. The results were impressive and KSEB could replace the traditional solution with this new and innovative GIS-based one, saving both time and money.

Therefore, these case studies highlight the power of GIS technology in solving real-world problems and the value GISKernel can bring to its customers.

Value Addition at a Glance

2018-19: Started our journey with 8 clients

2019-20: Our family of customers grew to 18.

2020-21: Retained all our customers successfully.

2021-22: Increased the satisfied customer count to 27.

2022-23: Successfully served 70+ customers in this 5 years.

Customer satisfaction is our priority, and it is reflected in the numerous positive reviews and testimonials the company has received from satisfied customers who have worked with us. They praise the company’s ability to showcase the level of professionalism, expertise, and excellent communication throughout. Therefore, the positive feedback from customers serves as a testament to the value that GISKernel provides to its clients and highlights the company’s commitment to excellence.


GISKernel has proven to be a valuable asset to its customers. Its broad knowledge of GIS applications and development experience, combined with its commitment to providing top-notch customer service, make it an excellent choice for anyone in need of GIS solutions. Whether you are a technical expert or a non-technical customer, GISKernel is dedicated to finding the best solution for your unique needs and ensuring your complete satisfaction.

Choose GISKernel if you need quality GIS solutions, and we are confident that you will be impressed with our services!

Celebrating 5 Years of Innovation: The Journey of GISKernel

Revisiting the History

The journey of GISKernel started about five years ago in February 2018. A young and passionate founder, Akshay Loya, who had the vision to revolutionize the world of GIS through its advanced and innovativ use to solve complex business problems.

Akshay started his career as a Biotechnology student who was introduced to the world of GIS by his mentor. His mentor mentioned “GIS is basically like a map on steroids! Trust me, you’re going to love it.” which inspired Akshay to explore more. He was fascinated and was determined to make a career in it.

He went on to crack an interview for the Symbiosis Institute of Geo-Informatics and the journey has only been onwards and upwards from there.

Akshay’s entrepreneurial spirit led him to pursue his passion for GIS through freelancing. His first project at the University of Washington proved to be a success, allowing him to hire his first employee and lay the foundation of GISKernel. The company, GISKernel, reflects the core essence of GIS, which serves as the foundation for all the work they do.

Milestones and Accomplishments

Since its inception, GISKernel has achieved several milestones and accomplishments in its five years journey.

Milestone #1: Recognition as a Startup by the Government of India

GISKernel received recognition as a Startup by the Government of India for the Promotion of Industry and Internal Trade in January 2019 – a testament to its potential. This recognition opened up new opportunities for the company to grow.

Milestone #2: Tax Exemptions under the “Startup India” Scheme

GISKernel received tax exemptions under the “Startup India” scheme in April 2021 for 3 years – an enormous financial support during its early stages.

Milestone #3: Showcasing Work at Dubai Expo

The steadily growing company showcased its work at the Dubai Expo 2020 to potential investors, engaged with different stakeholders and networked with other startups –  a significant achievement and recognition of its innovative work in the field of GIS.

Milestone #4: Exhibit their Work at Science City, Ahmedabad

In September 2022, GISKernel was selected to showcase its work at Science City Ahmedabad to 500 bureaucrats from all over India. It was a good channel to network with the know how’s of the industry

Milestone #5: Restarting the Office after Covid-19

The COVID-19 pandemic was a global challenge that affected almost every aspect of life, including businesses. Despite the difficulties posed by the pandemic, GISKernel persevered and successfully restarted its operations in January 2023. This accomplishment is a testimony to the company’s resilience and determination in the face of adversity. It showcases the company’s commitment to its mission and ability to overcome challenges and emerge stronger.

Each of these milestones and accomplishments serves as a reminder of the company’s journey so far and its unwavering commitment to innovation and growth.

Looking Forward

GISKernel has a clear vision for the future with plans and goals that are ambitious and attainable. The company is focused on continuing to provide innovative solutions and services to its clients while exploring new opportunities and markets. With its dedicated team of experts and its commitment to excellence, GISKernel is poised for continued success and growth by making a positive impact in the world of GIS.