Latest GIS & Remote Sensing Blogs

The geospatial industry is evolving rapidly. Traditional GIS roles focused primarily on mapping and spatial analysis. Today, organizations are increasingly seeking professionals who can combine GIS expertise with programming, automation, databases, web technologies, cloud computing, and artificial intelligence. This growing demand has given rise to one of the most sought-after roles in the geospatial industry: the GIS Developer. GIS Developers build geospatial applications, a

Agriculture is undergoing a significant transformation. Farmers today face challenges such as climate variability, water scarcity, rising input costs, labor shortages, pest outbreaks, and the growing need for sustainable food production. To address these challenges, the agriculture sector is increasingly adopting smart farming technologies. Smart farming combines digital tools, data analytics, automation, artificial intelligence, and geospatial technologies to improve decisio

ABSTRACT This study examined the relationship between Land Use/Land Cover (LULC) changes and urban thermal behaviour in Jaipur City over 15 years, focusing on 2010, 2015, and 2025. In this study multi-temporal Landsat images and Sentinel-2 time-series data was used. It combines a Random Forest LULC classification, which achieved over 93% accuracy, with various spectral indices (NDVI, NDBI, MNDWI, BSI, EBBI), and Land Surface Temperature (LST) extraction. To evaluate the therm

A GIS and Remote Sensing Based Multi-Criteria Decision Analysis (MCDA) Approach Introduction Agriculture is one of the most important sectors supporting human life, food security, and economic development. Identifying suitable agricultural land is essential for sustainable farming practices, efficient resource management, and increasing agricultural productivity. Traditional land suitability analysis methods are time-consuming and require extensive field surveys. However, adv

1. INTRODUCTION Land cover classification is one of the most important applications of remote sensing, as it helps in monitoring urban expansion, studying vegetation cover, identifying water bodies, and analyzing land use. Many traditional classification methods rely on classifying each pixel independently; however, this approach can produce noisy maps, especially when using Sentinel-2 imagery with medium spatial resolution, where a single pixel can contain more than one type

Introduction Selecting an appropriate location for healthcare infrastructure is an important task in urban and regional planning. Geographic Information Systems (GIS) provide powerful spatial analysis tools that help planners identify suitable locations based on multiple criteria. This project demonstrates a Hospital Suitability Analysis workflow developed using QGIS. The objective of the study is to identify potential locations for future hospital development using spatial d

If you want to build a strong foundation in Geographic Information Systems (GIS), AGSRT offers a comprehensive training program designed to equip you with practical skills. This course is ideal for students and professionals from civil, geography, environmental, and computer science backgrounds. It also suits those working in engineering, planning, data roles, and organizations needing scalable geospatial solutions. AGSRT’s GIS training focuses on real-world applications, hel

ABSTRACT This study presents a spatial proximity analysis of pharmacy and Medical stores in the Ebute Metta area of Lagos using PostgreSQL with PostGIS extension. The location of all pharmacy stores in the area were mapped out and their accessibility to residential neighborhoods was studied. Geospatial queries, buffer analysis, and proximity calculations were applied to this study, underserved zones were identified with limited access to pharmaceutical services. The outcome o

ABSTRACT This project developed an Automated Urban Vegetation Monitoring System to assess green cover changes in Ezza North LGA, Ebonyi State, using multispectral raster data from 2023 and 2024. NDVI was calculated from NIR and Red bands with Rasterio, NumPy, and GeoPandas after clipping to the study area boundary. Results showed a slight decline in vegetation condition, with moderate vegetation decreasing by 2,993 hectares while low vegetation/bare areas increased by 3,041 h

Introduction The web is no longer limited to flat, static maps. With modern geospatial libraries like CesiumJS, developers can build immersive 3D worlds directly in the browser. From visualizing terrain and satellite imagery to displaying buildings, flight paths, and real-time geospatial data, CesiumJS makes it possible to create rich, interactive globe-based applications with ease. If you are working in GIS, urban planning, environmental monitoring, smart city development, d

About the Training Program The Geospatial Automation and Development Program focuses on one goal. Turn your domain knowledge into practical, data-driven GIS skills. This is not a basic GIS course. You work on tools, automation, and real workflows used in industry which will be an effective upgrade for your GIS career. What you will learn Core GIS tools Work on ArcGIS Pro and QGIS Build end-to-end spatial analysis workflows Handle raster and vector datasets Satellite data anal

ABSTRACT The dynamic changes in forest fire regimes are affecting biodiversity and climate, therefore, mapping and monitoring burnt areas have become increasingly important, particularly during predominant fire seasons. Accurate mapping of burned areas is critical for proper resource allocation for combating fire hazards and prioritizing fire management strategies. The current study aimed to systematically map the spatial extent of forest burnt areas in Telangana state using