Wetland biomass inversion and space differentiation: A case study of the Yellow River Delta Nature Reserve

With wetlands categorized as one of the three major ecosystems, the study of wetland health has global environmental implications. Multiple regression models were employed to establish relationships between Landsat-8 images, vegetation indices and field measured biomass in the Yellow River Delta Nature Reserve. These models were then used to estimate the spatial distribution of wetland vegetative biomass. The relationships between wetland vegetative biomass and soil factors (organic matter, nitrogen, phosphorus, potassium, water soluble salt, pH and moisture) were modeled. We were able to achieve higher correlations and improved model fits using vegetative indices and spectral bands 1–5 as independent variables. Several important soil factors were isolated, including soil moisture and salt concentrations, which affect wetland biomass spatial distributions. Overall, wetland biomass decreased from land to the ocean and from the river courses outward.

• Publication year

  2019

• Venue

  PLoS ONE

• Publication date

  2019-02-05

• Fields of study

  Medicine, Environmental Science

• Identifiers
  DOI 10.1371/journal.pone.0210774PMID 30721238PMCID 6363170
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Wetland biomass inversion and space differentiation – Using the Yellow River Delta Nature Reserve as an example

  2020cited by this paper
• Nitrogen-Total

  2018cited by this paper
• Spatial distribution of wetland vegetation biomass in the Poyang Lake National Nature Reserve, China

  2015cited by this paper
• stimation of floodplain aboveground biomass using multispectral emote sensing and nonparametric modeling

  2014cited by this paper
• Remote Sensing Inversion of Aboveground Biomass over the Honghe Wetland

  2014cited by this paper
• Responses of plant community biomass to nitrogen and phosphorus additions in an alpine meadow on the Qinghai-Xizang Plateau.

  2014cited by this paper
• Recent Trends in Satellite Vegetation Index Observations Indicate Decreasing Vegetation Biomass in the Southeastern Saline Everglades Wetlands

  2013cited by this paper
• The study of vegetation biomass inversion based on the HJ satellite data in Yellow River wetland

  2013cited by this paper
• Hyperspectral Estimating Models of Aboveground Fresh Biomass and Density in Minjiang River Estuary Marsh Vegetation

  2013cited by this paper
• Influence of terrain on plant biomass estimates by remote sensing:a case study of Guangzhou City,China

  2012cited by this paper
• Remote sensing estimation models ofSuaeda salsabiomass in the coastal wetland

  2012cited by this paper
• The estimating of the spatial distribution of forest biomass in China based on remote sensing and downscaling techniques

  2012cited by this paper
• Application of Satellite Remote Sensing Technology to Wetland Research

  2011cited by this paper
• Effects of the Three Gorges Project on the typical wetland vegetations of Poyang Lake

  2011cited by this paper
• Measuring Bulrush Culm Relationships to Estimate Plant Biomass Within a Southern California Treatment Wetland

  2010cited by this paper
• Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review

  2010cited by this paper
• Neural Network-based Biomass Estimation in the Poyang Lake Wetland Using Envisat ASAR Data

  2010cited by this paper
• Climatic Effect on Wetland Vegetation Biomass——Case Study in Sanjiangyuan Region

  2008cited by this paper
• Estimating vegetation biomass and productivity and their distribution patterns in the Three Gorges Reservoir region

  2008cited by this paper
• Study on Biomass of Pinus elliottii Forest in Subtropical China Assisted with Remote Sensing

  2008cited by this paper
• The Environmental Interpretation for the Space Change of the Reed Biomass in the Yellow River Delta

  2008cited by this paper
• Hyperspectral Remote Sensing Estimation Models for the Biomass of Carex meyeriana in Honghe Nature Reserve

  2008cited by this paper
• Effects of habitat management treatments on plant community composition and biomass in a Montane Wetland

  2007cited by this paper
• On the Chinese translation of the definition of wetland in the Convention on Wetlands

  2005cited by this paper
• Hyperspectral One-Meter-Resolution Remote Sensing in Yellowstone National Park, Wyoming: I. Forage Nutritional Values

  2005cited by this paper
• Hyperspectral One-Meter-Resolution Remote Sensing in Yellowstone National Park, Wyoming: II. Biomass

  2005cited by this paper
• Wetland vegetation biomass estimation and mapping from Landsat ETM data: a case study of poyang lake

  2002cited by this paper
• Methods of soil analysis. Part 3 - chemical methods.

  1996cited by this paper
• The biomass of an Indian monsoonal wetland before and after being overgrown with Paspalum distichum L.

  1993cited by this paper
• Total Carbon, Organic Carbon, and Organic Matter

  1983cited by this paper

• Estimating vegetation aboveground biomass in Yellow River Delta coastal wetlands using Sentinel-1, Sentinel-2 and Landsat-8 imagery

  2025cites this paper
• Multi-model estimation of wetland vegetation biomass combining UAV LiDAR, hyperspectral, and ZY-1 02E spaceborne 2.5m-fused multispectral data: A case study of Qilihai Wetland, China

  2025cites this paper
• Spatiotemporal monitoring in beidagang wetland using Landsat time-series images and Google Earth Engine during 2000–2022

  2025cites this paper
• High-Resolution Mapping and Biomass Estimation of Suaeda salsa in Coastal Wetlands Using UAV Visible-Light Imagery and Hue Angle Inversion

  2025cites this paper
• Impacts of nature reserves on water–carbon relations and drought recovery time of ecosystems in the Yellow River Basin of China

  2025cites this paper
• An automatic classification method with weak supervision for large-scale wetland mapping in transboundary (Irtysh River) basin using Sentinel 1/2 imageries.

  2025cites this paper
• Using UAV multispectral photography to discriminate plant species in a seep wetland of the Fynbos Biome

  2024cites this paper
• Functionally responsive hydrogels with salt-alkali sensitivity effectively target soil amelioration.

  2024cites this paper
• Aboveground biomass retrieval of wetland vegetation at the species level using UAV hyperspectral imagery and machine learning

  2024cites this paper
• Aboveground Biomass Dynamics of a Coastal Wetland Ecosystem Driven by Land Use/Land Cover Transformation

  2023cites this paper
• A coastal wetlands mapping approach of Yellow River Delta with a hierarchical classification and optimal feature selection framework

  2023cites this paper
• Aboveground biomass of salt-marsh vegetation in coastal wetlands: Sample expansion of in situ hyperspectral and Sentinel-2 data using a generative adversarial network

  2022cites this paper
• Estimating Aboveground Biomass Using Sentinel-2 MSI Data and Ensemble Algorithms for Grassland in the Shengjin Lake Wetland, China

  2021cites this paper
• Pathological analysis and genetic characterization of the first outbreak H5N8 subtype avian influenza virus isolated from wild swan in Shandong, China.

  2021cites this paper
• Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review

  2020cites this paper
• Estimating Urban Vegetation Biomass from Sentinel-2A Image Data

  2020cites this paper
• A Harmonious Satellite-Unmanned Aerial Vehicle-Ground Measurement Inversion Method for Monitoring Salinity in Coastal Saline Soil

  2019cites this paper