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GeoVision GIS and Remote Sensing I’m Zafar Abbas , a dedicated GIS and Remote Sensing professional with a strong passion for transform

πŸ“Š Step-by-Step Methodology (Map Preparation)1. Study Area Selection** First, the study area *Gilgit-Haramosh Valley* is ...
10/04/2026

πŸ“Š Step-by-Step Methodology (Map Preparation)
1. Study Area Selection*

* First, the study area *Gilgit-Haramosh Valley* is selected
Boundary (AOI – Area of Interest) is defined in GIS

2. Data Collection

* Satellite data (e.g., Landsat / MODIS) is collected
* Thermal data (Land Surface Temperature – LST) is obtained
* Other supporting data (land use, elevation, etc.) may also be used

3. Data Preprocessing

* Satellite images are corrected (radiometric & atmospheric correction)
* Cloud removal and image clipping to study area
* Conversion of raw data into usable format

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4. Land Surface Temperature (LST) Calculation
* Thermal bands are used to calculate temperature
* Brightness temperature β†’ converted into *LST*
* Final output: temperature map of the area

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5. Spatio-Temporal Analysis

* Data from different times (years/months) is analyzed
* Changes in temperature patterns over time are studied

6. Index Development (Environmental Criticality Index)

* A thermal-based index is created
* Values are normalized (e.g., 0–1 scale)
* Higher values = higher environmental stress
7. Classification

* Index values are divided into categories:

* Very Low
* Low
* Moderate
* High
* Very High

8. Map Visualization**

* Colors are assigned to each class (e.g., blue β†’ red)
* Final thematic map is created in GIS (ArcGIS / QGIS)

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9. Layout Design

Map elements are added:

* Title
* Legend
* Scale bar
* North arrow
Coordinates

10. Interpretation**

* Central areas = high criticality (red zones)
* Outer areas = low criticality (green/blue zones)
* Results are analyzed for environmental planning

βœ… Short Line (if needed)

Satellite thermal data was processed, LST was derived, an environmental criticality index was developed, classified, and visualized using GIS techniques.

22/03/2026

🚨 Flood Hazard Mapping of Heramosh, Gilgit – A GIS & Remote Sensing Approach
I recently conducted a flood hazard assessment for Heramosh (Gilgit) using integrated GIS and Remote Sensing techniques to understand spatial risk distribution and support better land-use planning.
πŸ“ Study Area: Heramosh , Gilgit
πŸ›°οΈ Methodology: Satellite data analysis, spatial classification, and hazard zonation in GIS environment
πŸ” Key Findings (Flood Risk Zones):
🟒 Low Risk: 8.9%
🟑 Moderate Risk: 19.9%
πŸ”΄ High Risk: 43.3%
⚫ Very High Risk: Remaining area shows critical exposure
The results clearly indicate that a significant portion of the study area falls under high to very high flood risk, highlighting the urgent need for risk-informed land management and disaster mitigation strategies.
πŸ“Š Insights:
High-risk zones are likely influenced by proximity to water channels, slope conditions, and elevation variations
Spatial analysis enables identification of vulnerable settlements and infrastructure
This approach can support early warning systems and sustainable planning
πŸ’‘ Conclusion:
Integrating GIS with Remote Sensing provides a powerful framework for flood hazard mapping, enabling data-driven decision-making for disaster risk reduction.

Spatiotemporal Patterns of Vegetation Evolution in a Deep Coal Mining Subsidence Area: A Remote Sensing Study of Gilgit ...
21/03/2026

Spatiotemporal Patterns of Vegetation Evolution in a Deep Coal Mining Subsidence Area: A Remote Sensing Study of Gilgit City.
Gilgit





Multiple Watershed Delineation – Gilgit Region (GIS Analysis)I recently completed a hydrological GIS analysis to delinea...
09/03/2026

Multiple Watershed Delineation – Gilgit Region (GIS Analysis)

I recently completed a hydrological GIS analysis to delineate multiple watersheds in the Gilgit region. Using DEM-based watershed analysis, I identified drainage networks, stream orders, sub-basins, and outlet points to better understand the spatial distribution of water flow in the region.

This work highlights how geospatial techniques can support watershed management, environmental planning, and sustainable water resource analysis in mountainous regions. πŸ—ΊοΈ

Tools & Workflow:
β€’ DEM Processing
β€’ Flow Direction & Flow Accumulation
β€’ Stream Network Extraction
β€’ Watershed Delineation
β€’ Sub-basin Mapping & Outlet Identification


GeoVision GIS and Remote Sensing
GIS and RS
Remote Sensing & GIS
Gisma University of Applied Sciences
NASSA(UNAAB CHAPTER)

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Gilgit-Baltistan
Hunza
15100

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