Enhanced Amazon Wetland Map with Multi-Source Remote Sensing Data

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Abstract

Highlights: What are the main findings? A novel method using multi-source remote sensing, expert knowledge, and machine learning accurately revealed 151.7 Mha of wetlands in the Amazon region in 2020. This study offers a detailed analysis of the protection status of the Amazon wetlands, quantifies the pressures and threats posed by land use and climate change, and provides a baseline for monitoring. What are the implications of the main findings? The Amazon region wetland map can effectively guide national inventories and support science-based decision-making by governments and local communities. Expanding protection by creating new Ramsar Sites and conservation areas within the 72 Mha of unprotected wetlands presents a pivotal opportunity. The Amazon wetlands are the largest and most diverse freshwater ecosystem globally, characterized by various flooded vegetation and the Amazon River’s estuary. This critical ecosystem is vulnerable to land use changes, dam construction, mining, and climate change. While several studies have utilized remote sensing to map wetlands in this region, significant uncertainty remains, which limits the assessment of impacts and the conservation priorities for Amazon wetlands. This study aims to enhance wetland mapping by integrating existing maps, remote sensing data, expert knowledge, and cloud computing via Earth Engine. We developed a harmonized regional wetland classification system adaptable to individual countries, enabling us to train and build a random forest model to classify wetlands using a robust remote sensing dataset. In 2020, wetlands spanned 151.7 million hectares (Mha) or 22.0% of the study area, plus an additional 7.4 Mha in deforested zones. The four dominant wetland classes accounted for 98.5% of the total area: Forest Floodplain (89.0 Mha; 58.6%), Lowland Herbaceous Floodplain (29.6 Mha; 19.6%), Shrub Floodplain (16.7 Mha; 11.0%), and Open Water (14.1 Mha; 9.3%). The overall mapping accuracy was 82.2%. Of the total wetlands in 2020, 52.6% (i.e., 79.8 Mha) were protected in Indigenous Territories, Conservation Units, and Ramsar Sites. Threats to the mapped wetlands included 7.4 Mha of loss due to fires and deforestation, with an additional 800,000 ha lost from 2021 to 2024 due to agriculture, urban expansion, and gold mining. Notably, 21 Mha of wetlands were directly affected by both reduced precipitation and surface water in 2020. Our mapping efforts will help identify priorities for wetland protection and support informed decision-making by local governments and ancestral communities to implement conservation and management plans. As 47.4% of the mapped wetlands are unprotected and have some level of threats and pressure, there are also opportunities to expand protected areas and implement effective management and conservation practices.

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APA

Souza, C. M., Ferreira, B. G., Brandão, I. M., Rios, S., Aguilar-Brand, J., Schirmbeck, J., … Wiederhecker, H. C. (2025). Enhanced Amazon Wetland Map with Multi-Source Remote Sensing Data. Remote Sensing, 17(21). https://doi.org/10.3390/rs17213644

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