Geoinfotech

Geoinfotech We provide drone surveying, GIS mapping, land analysis, aerial inspection services for construction, agriculture, oil & gas, and infrastructure projects.

We provide Land survey, Drone, survey Inspection and mapping services. Complete Geographic Information System (GIS), Remote Sensing and web application services for Agriculture, Infrastructure, Transportation, Marine, Govt, Oil and Gas, Business, Telecom, Utilities, Banks and much more. Geospatial data processing of aerial surveying, Mobile and web app programming, analysis and mapping, providing

accurate data and transforming real-world scenarios into digital assets, to smart design and modeling. GIS, Web & Mobile Development, Drone Surveying & Mapping, Construction modeling 3D designs, Remote sensing, geodata store, Surveying,

Sentinel-2 Bands Explained for Environmental MappingSentinel-2, part of the European Space Agency's Copernicus program, ...
02/09/2026

Sentinel-2 Bands Explained for Environmental Mapping

Sentinel-2, part of the European Space Agency's Copernicus program, carries a multi-spectral instrument that captures 13 distinct bands from 400 nm to 2,500 nm.
These bands are grouped into three spectral ranges-Visible
(VIS), Near-Infrared (NIR), and Short-Wave Infrared (SWIR)
โ€”each tailored to highlight specific environmental features.
By combining them, scientists can detect vegetation health, soil moisture, water quality, and mineral composition with high precision.

Visible Bands (B2, B3, B4, B5)
B2 (Blue, 490 nm), B3 (Green, 560 nm), and B4 (Red, 665 nm) form the classic RGB composite, revealing canopy structure and surface color. Band 5 (Red-Edge, 705 nm) sits between red and NIR and is highly sensitive to chlorophy!! content, enabling early detection of plant stress before visible symptoms appear.

Near-Infrared Bands (B8, B&A, B11, B12)
NIR bands (B8: 842 nm, B&A: 865 nm) strongly reflect healthy vegetation, providing the backbone for vegetation indices such as NDVI. B11 and B12 (SWIR, 1610 nm & 2190 nm) detect water absorption features, crucial for mapping soil moisture and distinguishing between plant and bare ground.

Short-Wave Infrared Bands (B6, B7, B9)
B6 (665 nm) and B7 (705 nm) are also red-edge bands, offering fine-scale vegetation discrimination. B9 (water vapour, 945 nm) is key for atmospheric correction, improving the accuracy of surface reflectance estimates.

Short-Wave Infrared Bands (B6, B7, B9)
B6 (665 nm) and B7 (705 nm) are also red-edge bands, offering fine-scale vegetation discrimination. B9 (water vapour, 945 nm) is key for atmospheric correction, improving the accuracy of surface reflectance estimates.

Applications in Environmental Monitoring
By leveraging these bands, researchers generate land-cover maps, monitor deforestation, assess crop yield, and detect algal blooms in water bodies. The high revisit frequency (5-10 days) allows near real-time monitoring of dynamic ecosystems, essential for timely management decisions and climate resilience strategies.

Save this infographic for your next project!


02/09/2026

We asked members of our GIS, DevOps, UAV and Survey teams how they spend their day. Which was most obvious?

By the way, registration for the biggest geospatial intelligence conference, Geoinnovation Summit 2026 is live.
Register here: http://www.geoinnovation.geoinfotech.ng


.0

01/09/2026

And this year it is going BIGGER. be a part of the discussions.

Visit www.geoinnovation.geoinfotech.ng today! To REGISTER.

If you want to be a part of the Geoinnovation challenge comment โ€œCHALLENGEโ€ now ill send the details to you.

For years, we have been committed to strengthening Nigeria's powerline transmission ecosystem through precision-driven G...
01/09/2026

For years, we have been committed to strengthening Nigeria's powerline transmission ecosystem through precision-driven GIS and drone-based inspections.

From tower inspections and vegetation encroachment analysis to corridor mapping and asset intelligence, our focus has always been on embracing technological evolution in the GIS sector to help build smarter, safer, and more reliable power infrastructure for the future.

As technology evolves, so does our mission, delivering actionable geospatial intelligence that powers better decisions for the power and electricity sector.

Welcome to a new month filled with many opportunities and possibilities. Welcome to September ๐Ÿš€
01/09/2026

Welcome to a new month filled with many opportunities and possibilities.

Welcome to September ๐Ÿš€

GIS Essentials Every GIS User Should know From collecting data to making smart decisions. GIS is not just about maps, it...
31/08/2026

GIS Essentials Every GIS User Should know

From collecting data to making smart decisions. GIS is not just about maps, it is about understanding the world through spatial intelligence.

Vector vs Raster - Know how geographic data is
represented
Coordinate Systems โ€” Understand how locations are
accurately mapped
Buffer Analysis โ€” Measure impact zones and proximity Spatial Join - Combine information based on location Georeferencing โ€” Connect old maps with real-world
coordinates
Overlay Analysis - Discover patterns and make better
decisions

Whether you are a GIS student, researcher, planner, or remote sensing enthusiast, mastering these fundamentals builds a strong foundation for advanced geospatial analysis.

Explore โ€ข Analyze โ€ข Decide

Follow for more GIS, Remote Sensing & GeoAl learning content


ArcGIS SpatialAnalysis GeospatialTechnology
EarthObservation Mapping GISLearning DataScience
Satellitelmagery Cartography

Registration for The GeoInnovation Summit 2026 is now live!One journey. One vision. And it continues with you and me.Thi...
31/08/2026

Registration for The GeoInnovation Summit 2026 is now live!

One journey. One vision. And it continues with you and me.

This is more than just a conference, it's a meeting point for people shaping what's next in Geo-Al, Drones, GIS, Mapping and Geospatial Technology.

Whether you're a professional, student, researcher, tech enthusiast or industry leader, there's a place for you in the conversation.

๐ŸŒŽ Connect. Learn. Share. Innovate.

Register FREE:
https://geoinnovation.geoinfotech.ng

The future is being mapped. Will you be part of it?

Don't do this alone. Share this with your friends and colleagues who must not miss this.

๐—Ÿ๐—ถ๐——๐—”๐—ฅ ๐—ด๐—ถ๐˜ƒ๐—ฒ๐˜€ ๐˜†๐—ผ๐˜‚ ๐—บ๐—ถ๐—น๐—น๐—ถ๐—ผ๐—ป๐˜€ ๐—ผ๐—ณ ๐—ฝ๐—ผ๐—ถ๐—ป๐˜๐˜€. ๐—•๐˜‚๐˜ ๐—ฟ๐—ฎ๐˜„ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—น๐—ผ๐—ป๐—ฒ ๐—ถ๐˜€๐—ปโ€™๐˜ ๐˜๐—ต๐—ฒ ๐—ฎ๐—ป๐˜€๐˜„๐—ฒ๐—ฟ.Before LiDAR data can become an accurate terrain...
28/08/2026

๐—Ÿ๐—ถ๐——๐—”๐—ฅ ๐—ด๐—ถ๐˜ƒ๐—ฒ๐˜€ ๐˜†๐—ผ๐˜‚ ๐—บ๐—ถ๐—น๐—น๐—ถ๐—ผ๐—ป๐˜€ ๐—ผ๐—ณ ๐—ฝ๐—ผ๐—ถ๐—ป๐˜๐˜€. ๐—•๐˜‚๐˜ ๐—ฟ๐—ฎ๐˜„ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—น๐—ผ๐—ป๐—ฒ ๐—ถ๐˜€๐—ปโ€™๐˜ ๐˜๐—ต๐—ฒ ๐—ฎ๐—ป๐˜€๐˜„๐—ฒ๐—ฟ.

Before LiDAR data can become an accurate terrain model, map, or useful GIS product, those points need to be properly classified.
Thatโ€™s where point cloud classification comes in.
Think of it as bringing structure to a massive collection of laser-captured points.
A single LiDAR dataset can contain points representing:
โ€ขBare ground๏ฟฝโ€ขVegetation๏ฟฝโ€ขBuildings๏ฟฝโ€ขRoads and other structures๏ฟฝโ€ขPower lines and infrastructure๏ฟฝโ€ขWater๏ฟฝโ€ขNoise and unwanted points

Point cloud classification assigns these points to the right categories, making the dataset easier to interpret, analyse, and use for further geospatial work.

The process typically involves:
1. Raw Point Cloud โ€” capturing the unclassified LiDAR data๏ฟฝ2. Pre-processing โ€” cleaning noise and preparing the dataset๏ฟฝ3. Classification โ€” assigning points to the appropriate classes๏ฟฝ4. Quality Check โ€” identifying and correcting classification errors๏ฟฝ5. Derived Products โ€” creating outputs such as DSMs, DTMs, contour maps and orthomosaics.

And hereโ€™s the important part:
Good classification gives you better GIS outputs.

Poorly classified ground points can affect terrain models. Misclassified vegetation or buildings can affect analysis. Small classification errors can ultimately influence the quality of decisions made from the data.

Classification can be automated for speed and consistency, or manually refined when greater control is needed. In many real-world projects, the best results come from combining both approaches with proper quality control.

From topographic mapping and urban planning to forestry, corridor mapping, infrastructure design, mining and flood modelling, accurate point cloud classification plays an important role across the geospatial industry.

๐Ÿ“Œ Save this infographic as a quick reference for your next LiDAR project.

Follow for more practical geospatial insights.

Address

Lagos
Abuja

Alerts

Be the first to know and let us send you an email when Geoinfotech posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Business

Send a message to Geoinfotech:

Shortcuts

Share