The research, published in the International Journal of Sustainable Applied Sciences (IJSAS), analyzed global scientific developments over the past decade and found that satellite imagery, drones, radar systems, and machine learning are increasingly becoming essential tools for ecosystem recovery after earthquakes, floods, wildfires, and other disasters. The findings matter because extreme weather events and climate-related disasters are becoming more frequent, creating a growing demand for rapid and reliable environmental assessments.
Rising Need for Faster Disaster Recovery
Assessing environmental damage is one of the most important stages of disaster recovery. Governments and emergency agencies need accurate information to determine which areas require immediate intervention and how ecosystems can be restored effectively.
Traditional field surveys are often slow, expensive, and difficult to conduct in dangerous environments. Remote sensing technologies offer an alternative by collecting information from satellites, drones, and radar systems without requiring direct access to affected locations.
According to Raffy Bagus Prayudha and his colleagues from the Indonesian Defense University and the Geospatial Information Agency, the combination of earth observation technologies and artificial intelligence is changing disaster management from reactive monitoring into predictive decision support.
Mapping a Decade of Scientific Progress
The researchers examined 329 journal articles indexed in Scopus between 2016 and 2025. Using the PRISMA systematic review framework, they analyzed publication trends and scientific networks through Biblioshiny and VOSviewer software.
Their analysis revealed a dramatic increase in scientific interest.
- Annual publications averaged about 12 papers between 2016 and 2019.
- Research output accelerated after 2020.
- By 2025, annual publications had reached 75 articles.
The growth reflects increasing global concern over climate change and ecological crises.
China, the United States, and India Lead the Field
The study identified several countries that dominate research in post-disaster remote sensing.
- China: 93 publications
- United States: 45 publications
- India: 37 publications
These countries possess advanced satellite infrastructure and substantial research investments. Meanwhile, Japan showed one of the highest levels of international collaboration, suggesting that cross-border partnerships are becoming increasingly important for technology transfer.
The researchers noted that cooperation between countries could help disaster-prone developing nations gain access to advanced monitoring technologies without having to build expensive satellite systems independently.
Three Technologies Define the Future of Post-Disaster Monitoring
The study identified three major technological pillars driving the field.
1. Optical Satellites for Large-Scale Ecological Assessment
Traditional optical satellites remain the backbone of environmental monitoring.
These systems can detect:
- Vegetation loss
- Burned forest areas
- Flood impacts
- Regional land-cover changes
Although optical sensors are vulnerable to cloud cover and weather conditions, they continue to provide essential information for ecosystem restoration.
2. Artificial Intelligence and Drones for Automated Damage Detection
The most significant transformation involves the integration of artificial intelligence with unmanned aerial vehicles (UAVs).
Machine learning and deep learning algorithms now enable:
- Automated damage identification
- Rapid image classification
- High-resolution mapping
- Faster disaster response
According to the authors, AI dramatically reduces the time required to analyze massive datasets. However, satellite and drone observations still require field validation to minimize interpretation errors.
As Prayudha and colleagues from the Indonesian Defense University explain, AI-based systems can accelerate environmental assessments, but reliable calibration remains necessary to ensure that digital interpretations match real-world conditions.
3. Radar and LiDAR Systems for Extreme Weather Conditions
Another major breakthrough comes from active sensors such as Synthetic Aperture Radar (SAR) and LiDAR.
Unlike optical satellites, radar systems can penetrate clouds and function during storms or at night.
The researchers highlighted several advantages:
- Sentinel-1 radar can detect ground deformation after earthquakes.
- Flood boundaries can be mapped with accuracy exceeding 96 percent.
- LiDAR systems provide highly detailed topographic information.
- Combined with neural networks, LiDAR can help identify landslide-prone areas.
These technologies are particularly valuable during the first hours after disasters, when weather conditions often limit conventional observations.
From Monitoring Tools to Predictive Decision Systems
One of the study's most important conclusions is that remote sensing is evolving beyond passive observation.
"Remote sensing is no longer merely a monitoring instrument but has become a resilient predictive decision-support system for mitigating future disaster impacts," the authors wrote.
The researchers recommend greater integration between optical satellites, radar imagery, AI algorithms, and open-access spatial data. They also emphasize the importance of international scientific collaboration and data-sharing policies to strengthen disaster preparedness worldwide.
Implications for Governments and Society
The findings have practical implications for:
- Governments, which need faster disaster-response systems.
- Environmental agencies, responsible for ecosystem restoration.
- Researchers, developing next-generation AI models.
- Businesses, particularly those involved in geospatial technologies and satellite analytics.
- Disaster management organizations, seeking more accurate risk assessments.
By combining multiple sensors and machine learning approaches, future systems could provide near real-time assessments and support evidence-based policy decisions.
Author Profiles
Dr. Raffy Bagus Prayudha
Indonesian Defense University
Field of expertise: Remote sensing, geospatial analysis, and disaster mitigation technologies.
Trismadi
Geospatial Information Agency (BIG), Indonesia
Field of expertise: Geospatial information systems and environmental mapping.
Syachrul Arief
Indonesian Defense University
Field of expertise: Environmental management, earth observation, and disaster resilience.
Source
Article Title: Mapping the Evolution of Remote Sensing Technologies in Post-Disaster Ecological Assessment: A Bibliometric Analysis
Authors: Raffy Bagus Prayudha, Trismadi, and Syachrul Arief
Journal: International Journal of Sustainable Applied Sciences (IJSAS)
Year: 2026
DOI: https://doi.org/10.59890/ijsas.v4i6.1
Official URL: http://ijsasjournal.my.id/index.php/ijsas
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