DETECTING LAND COVER CHANGES USING VHR SATELLITE IMAGES: A COMPARATIVE STUDY

The new satellites sensors such as GeoEye , WorldView and Ikonos , provide new data for better delineation, detection, and visualization of Land cover changes. Several techniques have been proposed and developed for change detection automatically. The main aim of this research is to assess the use of very high-resolution satellites images in monitoring land cover changes in Egypt. Five change detection techniques have been tested using Ikonos and ‎WorldView images. The techniques considered are image difference, image ‎ratio, principal component analysis, post-classification comparison, and multi-‎date direct classification. The accuracy of each technique is evaluated via the overall accuracy and kappa coefficient. The results showed that the ‎principal component analysis technique produced more accurate change detection ‎map compared to other methods. Also, it was found that changes from vegetation ‎to urban in the study area are greater than changes from bare soil to vegetation. ‎

• Publication year

  2020

• Venue

  JES. Journal of Engineering Sciences

• Publication date

  2020-03-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.21608/jesaun.2019.264927
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Introduction to Remote Sensing

  2024cited by this paper
• Object-Based Change Detection for VHR Images Based on Multiscale Uncertainty Analysis

  2018cited by this paper
• Shadow Identification in High Resolution Satellite Images in the Presence of Water Regions

  2017cited by this paper
• Object-based change detection method using refined Markov random field

  2017cited by this paper
• A Review on Various Shadow Detection and Compensation Techniques in Remote Sensing Images

  2017cited by this paper
• Multi-Feature Object-Based Change Detection Using Self-Adaptive Weight Change Vector Analysis

  2016cited by this paper
• A critical synthesis of remotely sensed optical image change detection techniques

  2015cited by this paper
• Change detection from remotely sensed images: From pixel-based to object-based approaches

  2013cited by this paper
• Object-based change detection

  2012cited by this paper
• Object based image analysis for remote sensing

  2010cited by this paper
• Supervised change detection in VHR images: A comparative analysis

  2009cited by this paper
• A REVIEW OF MULTI-TEMPORAL REMOTE SENSING DATA CHANGE DETECTION ALGORITHMS

  2008cited by this paper
• OBJECT-ORIENTED CHANGE DETECTION OF RIPARIAN ENVIRONMENTS FROM HIGH SPATIAL RESOLUTION MULTI-SPECTRAL IMAGES

  2008cited by this paper
• Land cover mapping and change detection in urban watersheds using QuickBird high spatial resolution satellite imagery

  2008cited by this paper
• PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data

  2008cited by this paper
• Change detection techniques

  2004cited by this paper
• Review ArticleDigital change detection methods in ecosystem monitoring: a review

  2004cited by this paper

• Increasing compound drought and heatwave events in the Horn of Africa and its effect on agriculture

  2026cites this paper
• Continental maize mapping and distribution in Africa by integrating radar and optical imagery

  2025cites this paper
• Drought Dynamics From Meteorological Stress to Agricultural Impacts Using Physically‐Based Remote Sensing Indices in the Horn of Africa

  2025cites this paper
• A Self‐Supervised Seasonal Anomaly Embedding ViT for Label‐Free Drought Mapping in the Horn of Africa

  2025cites this paper
• Agricultural Drought monitoring in Africa based on Self-Organizing Agricultural Drought Index

  2025cites this paper
• A Novel Agricultural Remote Sensing Drought Index (ARSDI) for high-resolution drought assessment in Africa using Sentinel and Landsat data

  2025cites this paper
• A Novel High-Resolution Genetic Algorithm Optimized Multispectral Soil-Vegetation Drought Index (GA-MSVDI) for Precision Agriculture and Drought Monitoring in North Africa

  2025cites this paper
• A Continental-Scale tracking for mobile drought dynamics across Africa using Multivariate drought Index Fusion

  2025cites this paper
• Comparative evaluation of change detection techniques based on multispectral images for measuring land cover dynamics of mango (Mangifera indica L.) in Malihabad, Lucknow (UP)

  2022cites this paper
• Change detection for map updating using ‎very high resolution satellite images

  2021cites this paper
• Mapping Irrigated Croplands in Africa Using Combined Sentinel-1 and Sentinel-2 Data

  year unknowncites this paper