Monitoring

Status and distribution of mangrove forests of the world using earth observation satellite data

Background

With many threats causing mangrove loss and degradation (e.g., sea level rise, conversion to agriculture or aquaculture, tourism, urban development, overexploitation), it is important to have accurate measurements and maps of global mangrove extent. With inconsistent monitoring across space and time, incompatible datasets, and large ranges in current global mangrove area estimates (110,000 to 240,000 km2), it is necessary to refine the global estimate of mangrove area to have a reliable baseline for monitoring global mangrove loss.

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Afforestation and Reforestation Have Varying Biodiversity Impacts Across and Within Biomes

Background

Afforestation and reforestation (AR) are widely promoted as nature-based solutions (NbS) for carbon dioxide removal and climate mitigation. Global initiatives aim to expand forest cover significantly to meet climate targets. However, AR can produce unintended biodiversity impacts, particularly when implemented in ecosystems such as grasslands or savannas, where native species are not adapted to forest conditions. The ecological outcomes of AR vary across biomes and species, highlighting the need for spatially explicit, biodiversity-sensitive planning frameworks.

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Enhancing Above-Ground Biomass Estimation in Agroforestry Systems: A Scalable Deep Learning Approach Using Sentinel-2 Data

Background

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Carbon sequestration in mangrove forests

Background

Mangrove forests are highly valuable due to the ecological (e.g., sediment deposition, fish nurseries, protection from tropical storms) and economic (e.g., food, fuel) resources they provide. Carbon storage potential in mangroves is also a highly valuable characteristic, especially as a passive method of carbon dioxide capture and storage. In order to protect these important resources and services, it is necessary to create accurate analyses of the global potential and significance of carbon storage in mangroves.

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The rate of global sea level rise doubled during the past three decades

Background

Tracking global mean sea level (GMSL) is important for both global climate monitoring and informing coastal communities’ adaptation strategies. Previous methods of tracking GMSL calculate the average rate of GMSL rise to be 3.3 mm/year based on satellite data over 30 years. However, studies since 2017 have identified a significant acceleration in GMSL rise. Thus, it is important to ensure that current GMSL rate estimates are accurate to inform both local and GMSL rise adaptation strategies. 

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Mangroves protect coastal economic activity from hurricanes

Background

With more frequent and severe weather events anticipated due to climate change, coastal communities are interested in practical coastal defense interventions to protect their public and private assets and prevent disruptions to economic activity from tropical storms. Studies have documented mangrove forests’ ability to reduce wave action, wind velocity, and storm surge, making mangroves a cost-effective form of coastal protection. Yet, the relationship between how large a mangrove belt must be to provide significant protection and how mangroves mitigate tropical storm effects and economic damages is still unknown.

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Tipping Points of Amazonian Forests: Beyond Myths and Toward Solutions

Background

Open access copy available

Strong Climate Mitigation Potential of Rewetting Oil Palm Plantations on Tropical Peatlands

Background

Tropical peatlands store vast quantities of carbon and therefore play a crucial role in global climate regulation. In Indonesia, extensive areas of peatland have been drained and converted to oil palm plantations and other agricultural uses. Drainage exposes peat to oxygen, accelerating decomposition and releasing large amounts of carbon dioxide into the atmosphere. Since degraded peatlands are estimated to contribute significantly to global greenhouse gas emissions, restoration strategies such as peatland rewetting have gained increasing attention as potential natural climate solutions.

Open access copy available

Tropical dry forest land use/land cover change detection using semi-supervised deep learning algorithms and remote sensing

Background

Open access copy available

Remote sensing of drylands: An overview

Background

Open access copy available
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