ReviewSensors (Basel, Switzerland)2017
A Review of Wetland Remote Sensing.
Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Estimating soil organic carbon density in mangroves of different stand ages using multi-source remote sensing and machine learning.iScience · 2026Article
- The Integration of Fire Ecology and Freshwater Ecosystems in North America: Knowledge Gaps and Research Needs.Global change biology · 2026Review
- Four decades of hydroclimate-driven change and ecological condition in a Baltic raised bog assessed with Landsat and RSEI.Scientific reports · 2026Article
- Value of hyperspectral data for wall to wall wetland vegetation mapping in heterogeneous landscapes.Scientific reports · 2026Article
- Materials Advances for Distributed Environmental Sensor Networks at Scale.Nature reviews. Materials · 2026Article
- Knowledge Structure and Evolution of Wetland Plant Diversity Research: Visual Exploration Based on CiteSpace.Biology · 2025Review
- Mapping of shore area wetlands in Lake Tana Biosphere Reserve, Northwest Ethiopia using Sentinel-1A SAR and multi-source data.PloS one · 2025Article
- Diversity and community assembly mechanisms of soil methanotrophs in typical ecotypes of the Mitika alpine wetland in northern Xizang.Frontiers in microbiology · 2025Article
- Global annual wetland dataset at 30 m with a fine classification system from 2000 to 2022.Scientific data · 2024Article
- Microbiological dimensions and functions in constructed wetlands: A review.Current research in microbial sciences · 2024Review
- Climate change and future challenges to the sustainable management of the Iraqi marshlands.Environmental monitoring and assessment · 2023Article
- Mapping small inland wetlands in the South-Kivu province by integrating optical and SAR data with statistical models for accurate distribution assessment.Scientific reports · 2023Article
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- Global Trends and Hotspots on Microglia Associated with Pain from 2002 to 2022: A Bibliometric Analysis.Journal of pain research · 2023Article
- Headwater streams and inland wetlands: Status and advancements of geospatial datasets and maps across the United States.Earth-science reviews · 2022Article
- Wetland characteristics affect abundance and diversity of wintering birds: A case study in South-Western Iran.Ecology and evolution · 2022Article
- Development of Microbial Indicators in Ecological Systems.International journal of environmental research and public health · 2022Review
- Comparison of multi-class and fusion of multiple single-class SegNet model for mapping karst wetland vegetation using UAV images.Scientific reports · 2022Article
- Wetland monitoring technification for the Ecuadorian Andean region based on a multi-agent framework.Heliyon · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wetlands are some of the most important ecosystems on Earth. They play a key role in alleviating floods and filtering polluted water and also provide habitats for many plants and animals. Wetlands also interact with climate change. Over the past 50 years, wetlands have been polluted and declined dramatically as land cover has changed in some regions. Remote sensing has been the most useful tool to acquire spatial and temporal information about wetlands. In this paper, seven types of sensors were reviewed: aerial photos coarse-resolution, medium-resolution, high-resolution, hyperspectral imagery, radar, and Light Detection and Ranging (LiDAR) data. This study also discusses the advantage of each sensor for wetland research. Wetland research themes reviewed in this paper include wetland classification, habitat or biodiversity, biomass estimation, plant leaf chemistry, water quality, mangrove forest, and sea level rise. This study also gives an overview of the methods used in wetland research such as supervised and unsupervised classification and decision tree and object-based classification. Finally, this paper provides some advice on future wetland remote sensing. To our knowledge, this paper is the most comprehensive and detailed review of wetland remote sensing and it will be a good reference for wetland researchers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.