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GeoDevix, Islamabad (2026)

30/09/2026

Mapping Seasonal Biomass Potential in Sheikhupura, Pakistan

A seasonal biomass potential assessment for Sheikhupura District, Punjab, Pakistan, developed using Google Earth Engine (GEE) to visualize spatial and temporal variations in vegetation biomass potential across key agricultural periods.

The mapping represents three important stages of the crop cycle:

• December – Sowing Period
• February – Peak Period
• May – Harvesting Period

By integrating satellite-based Earth observation with geospatial analysis, the workflow helps visualize seasonal vegetation dynamics and provides spatial insights that can support agricultural monitoring, biomass assessment, renewable-resource planning, and land management.

Tools & Methodology:
Google Earth Engine (GEE) • Satellite Remote Sensing • Seasonal Vegetation Analysis • GIS Mapping • Spatial Visualization

📍 Study Area: Sheikhupura District, Punjab, Pakistan

At GeoSpyre Consultants, we transform satellite data and spatial information into practical geospatial insights for research, environmental monitoring, agriculture, and land-resource management.

Need a similar GIS or remote-sensing analysis for your study area? Get in touch with GeoSpyre Consultants.

30/09/2026

Soil Management Zoning | GIS-Based Precision Agriculture

At GeoSpyre Consultants, we transform spatial soil data into actionable insights for sustainable agricultural land management.

This map illustrates the spatial distribution of soil management zones within a defined field boundary, categorizing areas into Poor, Medium, and Very Good classes, supported by a comparative assessment of key soil parameters.

🛠️ Methodology
The workflow integrates GIS-based spatial analysis of soil characteristics to delineate management zones across the study field. Soil attributes are assessed and classified into three management categories, while zone-wise statistical summaries provide a comparative overview of soil conditions.

📊 Key Parameters Analyzed

Soil pH and Electrical Conductivity (EC)
Soil Organic Matter (SOM) and Total Organic Carbon (TOC)
Nitrate Nitrogen (NO₃-N), Phosphorus (P), and Potassium (K)

📍 Applications & Insights
The resulting management zones support the identification of spatial soil variability, targeted soil improvement strategies, and more informed, site-specific agricultural management decisions.

From spatial data to smarter land management.

📩 Contact GeoSpyre Consultants for GIS mapping, spatial analysis, remote sensing, and precision agriculture solutions.

28/08/2026

Mapping Soil Variability Beyond the Surface

Healthy soil isn’t uniform, and these maps show exactly why spatial analysis matters.

This multi-map assessment integrates Unsupervised Iso Cluster Classification, Principal Component Analysis (PCA), and spatial mapping of N, P, K and Organic Matter to reveal patterns of soil variability across the study area.

🔹 Iso Cluster & PCA → identify underlying spatial patterns and dominant variability
🔹 N, P & K Factor Maps → visualize the distribution of key soil nutrients
🔹 Organic Matter Mapping → highlight spatial differences in soil organic content

By combining statistical and geospatial techniques, GIS turns complex soil characteristics into clear, interpretable spatial information, supporting better soil assessment, agricultural planning and precision land management.

📍 From raw data to meaningful patterns - that’s the power of GIS.

25/08/2026

🌍 Geological Map of South Asia | Understanding Earth’s Composition & Structure

Beneath the political boundaries of South Asia lies a remarkably complex geological landscape - shaped by tectonic processes, mountain building, sedimentation, and millions of years of Earth’s evolution.

This GIS-based geological mapping visualizes the spatial distribution of major geological units across Afghanistan, Pakistan, India, Nepal, Bhutan, and Bangladesh, providing a regional view of the Earth's geological composition and structural framework.

🔬 Methodology at a glance:
🗺️ Geological data → spatial data preparation → GIS-based classification → geological unit visualization → regional map composition

📍 Region: South Asia
🧭 Focus: Geological Composition • Earth Structure • Spatial Distribution
💻 Technology: GIS & Geospatial Mapping

Geological maps are essential for tectonic studies, mineral exploration, geological hazard assessment, natural-resource management, geomorphology, and earth-science research.

At Geospyre Consultants, we turn complex spatial datasets into research-ready geological, environmental, and geospatial maps using GIS and Remote Sensing technologies.

📩 Need geological mapping, GIS analysis, spatial data visualization, or a publication-quality research map?

Connect with Geospyre Consultants.

25/08/2026

🌡️ How Hot Is Maysan? | Mapping Land Surface Temperature

Some landscapes don’t just look dry; they show the heat from space.

This GeoDevix analysis maps Land Surface Temperature (LST) across Maysan, Iraq, revealing a clear spatial pattern of surface heating, with temperatures ranging from approximately 24.3°C to 49.5°C.

🛰️ Methodology: Satellite thermal data were processed to derive LST, classified into temperature ranges, and spatially visualized using GIS.

📊 Dataset: Satellite thermal imagery + GIS boundary & spatial data

Understanding where surface temperatures are highest can support heat-risk assessment, environmental monitoring, urban planning, and climate-related spatial analysis.

📍 Study Area: Maysan, Iraq 🇮🇶

From pixels to patterns. From patterns to insight.

21/08/2026

🗺️ Punjab Soil Type: A Province in Ten Classes
One province, ten distinct soil stories.

This GeoDevix analysis maps the soil-type classification across Punjab, revealing clear spatial groupings - Yh and Qc units dominate the central and southern plains, tracing patterns consistent with old floodplain and alluvial deposits, while Be, Xk, and Xh units cluster in the northeast near the higher-relief Kashmir foothills.

🛰️ Methodology: Soil survey classification data was integrated in a GIS environment and mapped against terrain and administrative boundaries to visualize how soil units are spatially distributed across the province.

📊 Datasets: Soil classification data + administrative boundary data

The results highlight how GIS can support soil mapping, agricultural land suitability, irrigation planning, and soil-erosion risk assessment.

📍 Study Area: Punjab, Pakistan

Same province. Ten soil classes. One clearer picture from GIS.

21/08/2026

🏔️ Snow Cover Analysis of Kullu District, India using NDSI

How can satellite imagery be used to map the spatial distribution of snow cover in mountainous terrain?

This Remote Sensing & GIS-based analysis uses Sentinel-2 multispectral imagery (10 m resolution) and the Normalized Difference Snow Index (NDSI) to identify and visualize snow-covered areas across Kullu District, Himachal Pradesh, India.

🔬 Methodology at a glance:
🛰️ Sentinel-2 imagery → preprocessing → NDSI calculation → threshold-based snow identification → GIS visualization

📊 Index: NDSI
🛰️ Data: Sentinel-2
📐 Resolution: 10 m
📍 Study Area: Kullu District, India

Snow-cover mapping supports glacier and cryosphere monitoring, hydrological assessment, climate studies, water-resource management, and mountain environmental research.

At Geospyre Consultants, we deliver research-oriented Remote Sensing, GIS, satellite image processing, spectral index analysis, and geospatial mapping for academic and professional projects.

📩 Need NDSI analysis, snow-cover mapping, Sentinel-2 processing, or research-quality GIS maps?

Connect with Geospyre Consultants.

20/08/2026

🌾 Wheat vs Maize: Potohar & Okara - A Spatial Comparison

Same country, very different agricultural landscapes.

This GeoDevix analysis compares the spatial distribution of Wheat and Maize crops across Potohar and Okara, revealing clear differences in crop concentration and agricultural patterns.

🛰️ Methodology: Satellite-based crop mapping was used to identify crop-specific spatial patterns, followed by GIS-based classification, extraction, and comparative mapping across both regions.

📊 Datasets: Satellite imagery + administrative boundary data

The results highlight how GIS & Remote Sensing can support crop mapping, agricultural monitoring, land-use analysis, and food-security planning.

📍 Study Areas: Potohar & Okara, Pakistan

Different landscapes. Different crops. One powerful view from GIS.

20/08/2026

Groundwater Storage Mapping - Jhelum, Pakistan

Where is groundwater storage high or low across the Jhelum study area?

This GIS & Remote Sensing-based groundwater spatial analysis visualizes the distribution of groundwater storage, highlighting areas with relatively high and low groundwater availability.

🔬 Methodology at a glance:
📊 Groundwater data → spatial interpolation → GIS-based spatial analysis → groundwater storage mapping

The resulting map integrates groundwater information, spatial analysis, river networks, and geographic boundaries to identify the spatial variability of groundwater storage.

📍 Study Area: Jhelum, Pakistan
💧 Focus: Groundwater Storage & Spatial Distribution
🗺️ Applications: Groundwater Assessment • Hydrological Studies • Water Resource Management • Environmental Planning • GIS Research

At Geospyre Consultants, we apply GIS, Remote Sensing, spatial interpolation, geospatial analysis, and environmental mapping to transform spatial data into research-ready insights.

📩 Need groundwater mapping, hydrological GIS analysis, spatial interpolation, watershed analysis, or research-quality maps for your project?

Connect with Geospyre Consultants.

17/08/2026

Mapping the Impact of Wildfires Across the UK 🇬🇧

Wildfires don’t just leave visible scars they leave a measurable signature in satellite data.

This GeoDevix analysis combines 2023 UK wildfire events with Differenced Normalized Burn Ratio (dNBR) to visualize fire-affected areas and assess changes in vegetation and surface conditions.

🛰️ Methodology:
Pre- and post-fire Sentinel-2 imagery were used to calculate NBR, followed by dNBR analysis to identify and assess burn-related changes. Wildfire event locations were then mapped alongside the burn response for spatial comparison.

📍 Study Area: United Kingdom
📊 Datasets: Sentinel-2 imagery + UK wildfire event data

A practical example of how GIS + Remote Sensing can transform satellite data into insights for burn severity assessment, environmental monitoring, and wildfire analysis.

Mapping what happened. Understanding where it happened.

GeoDevix

30/09/2026

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