Aquatic Vegetation Species Identification and Mapping Using Multisource Data-Review

Abstract

The monitoring of aquatic vegetation is essential for aquatic life and the entire ecosystem’s health as it provides food, protects habitat, improves water quality, and absorbs nutrients. With the advancement of geospatial technologies, the spatio-temporal distribution of aquatic vegetation can be characterized and mapped. The present study provides a comprehensive review of different aquatic flora types, their importance, and the need to map these species. The current study gives collective information on how multisource data play a crucial role in identifying aquatic plants by using various satellite-based sensors, drones, and radar data. The scientometric analysis is also performed by searching the keywords related to the theme in the Scopus database, which includes a co-occurrence map, a thematic map, trend topic analysis, and countries’ scientific production over time. Hence, the study aims to motivate future researchers to conduct extensive analysis in this potential field. © 2025 selection and editorial matter, Prem Chandra Pandey, Prashant K. Srivastava, Sanjeev Kumar Srivastava; individual chapters, the contributors.