Mapping the Evolution of Remote Sensing Technologies in Post-Disaster Ecological Assessment: A Bibliometric Analysis

Raffy Bagus Prayudha; Trismadi; Syachrul Arief

doi:10.59890/ijsas.v4i6.464

Authors

Raffy Bagus Prayudha Indonesian Defense University, Geospatial Information Agency
Trismadi Indonesian Defense University, Geospatial Information Agency
Syachrul Arief Indonesian Defense University, Geospatial Information Agency

DOI:

https://doi.org/10.59890/ijsas.v4i6.464

Keywords:

Bibliometric Analysis, Environmental Damage Assessment, Post- Disaster Recovery, Remote Sensing, Artificial Intelligence

Abstract

This study maps the thematic evolution of remote sensing in post-disaster ecological recovery, providing a novel quantitative synthesis of this technological transformation. Applying a PRISMA-compliant bibliometric analysis, 329 Scopus journal articles (2016–2025) were evaluated using Biblioshiny and VOSviewer to assess publication metrics and keyword co-occurrence. Results reveal an exponential publication surge led by China, USA, and India. Thematically, the field relies on three pillars: optical satellites for macro-risk evaluation, AI/UAVs for automated damage detection, and active sensors overcoming extreme weather. These findings highlight a paradigm shift from manual observation toward autonomous predictive analytics. Consequently, this paper recommends integrating multi-sensor data with hybrid algorithms to reduce field validation biases and strengthen future ecosystem restoration strategies.

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