Avakaza Geoscience Research Technologies

Drone mapping and photogrammetry turn aerial imagery into measurable, survey-grade geospatial data that urban planners, engineers, and disaster teams can act on. By flying a calibrated drone, processing overlapping photos into an orthomosaic, and deriving point clouds, DEMs, and DSMs, organizations gain an accurate 3D model of the ground in days rather than weeks. AGSRT applies these workflows ac…

Web GIS is one of the most practical technologies smart cities use to make faster, evidence-based decisions. By moving maps, layers, and analytics into a standard web browser, city teams, utilities, and planners share one live view of what is happening on the ground. AGSRT builds Web GIS and geospatial development solutions that turn raw location data into interactive dashboards, operational maps…

When you work with spatial data, the right visualization tool can make all the difference. It helps you turn complex geographic information into clear, actionable insights. Whether you are a student, a professional, or part of an organization, selecting the right mapping data visualization tools is key to your success. This guide will help you understand what to look for and how to choose the bes…

Geographic Information Systems (GIS) are transforming how we understand and interact with the world. Whether you are a student, a working professional, or part of an organization, mastering GIS can open doors to exciting career opportunities and impactful projects. AGSRT Bengaluru offers comprehensive GIS training and solutions designed to equip you with practical skills and industry-ready knowle…

Abstract This technical workflow demonstrates the processing of airborne LiDAR point-cloud data in ArcGIS Pro to produce a structured dataset for terrain and above-ground feature analysis. The workflow begins with LAZ-to-LAS preparation and LAS Dataset creation, followed by LiDAR point classification into ground (Class 2), buildings (Class 6), and vegetation-related height information. Surface pr…

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 geospa…

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, au…

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,…

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 anal…

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 wi…

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 i…

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 g…

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 zo…

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 …

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 wo…

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…

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 syst…

Abstract Drought is one of the most complex and spatially variable climatic hazards, affecting hydrological systems, agricultural productivity, and ecological stability across different climatic regions. The increasing variability of rainfall patterns and the growing dependence on climate-sensitive sectors have intensified the need for accurate and spatially explicit drought monitoring methods. R…

ABSTRACT Rapid urban expansion often leads to spatial imbalance in infrastructure distribution, particularly in essential services such as public water supply. This study evaluates ward-level water infrastructure adequacy within the Greater Hyderabad Municipal Corporation (GHMC) using a spatial database-driven approach. Ward boundaries and public water point datasets were integrated within a Post…

ABSTRACT Urban areas offer significant potential for rooftop solar photovoltaic (PV) deployment due to the availability of unused roof spaces and high solar radiation levels. This study aims to assess the rooftop solar energy potential of Chromepet, Chennai using GIS-based spatial analysis and open-source geospatial datasets. Building footprint data obtained from OpenStreetMap and elevation data …