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Hyperspectral inversion of Suaeda salsa biomass under different types of human activity in Liaohe Estuary wetland in north-eastern China
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems
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Human activities accelerated the degradation of saline seepweed red beaches by amplifying top‐down and bottom‐up forces
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Neural organization of eyelid responses
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Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
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Estimation of above-ground biomass of reed (Phragmites communis) based on in situ hyperspectral data in Beijing Hanshiqiao Wetland, China
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Assessment of Plant Community Characteristics in Natural and Human-Altered Coastal Marsh Ecosystems
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Impact of Land Reclamation on the Evolution of Shoreline Change and Nearshore Vegetation Distribution in Yangtze River Estuary
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China’s Coastal Wetlands: Understanding Environmental Changes and Human Impacts for Management and Conservation
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Development of vegetation and soil indices for MODIS-EOS
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A meta-analysis of coastal wetland ecosystem services in Liaoning Province, China
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Estimation of abundance and distribution of two moist tall grasses in the Watarase wetland, Japan, using hyperspectral imagery
inferredcites →https://doi.org/10.1016/j.jag.2007.02.001openalex-snapshot
Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression
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High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm
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Aerospace wetland monitoring by hyperspectral imaging sensors: A case study in the coastal zone of San Rossore Natural Park
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Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
inferredcites →https://doi.org/10.1016/j.rse.2006.11.002openalex-snapshot
Mapping an invasive plant, Phragmites australis, in coastal wetlands using the EO-1 Hyperion hyperspectral sensor
inferredcites →https://doi.org/10.1016/j.rse.2007.09.017openalex-snapshot
Mapping seagrass species, cover and biomass in shallow waters: An assessment of satellite multi-spectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia)
inferredcites →https://doi.org/10.1016/j.rse.2008.01.022openalex-snapshot
Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem
inferredcites →https://doi.org/10.1016/j.rse.2008.06.006openalex-snapshot
Development of a two-band enhanced vegetation index without a blue band
inferredcites →https://doi.org/10.1016/j.rse.2014.04.003openalex-snapshot
Evaluation of sensor types and environmental controls on mapping biomass of coastal marsh emergent vegetation
inferredcites →https://doi.org/10.1016/j.rse.2014.05.021openalex-snapshot
Assessment of ecophysiology of lake shore reed vegetation based on chlorophyll fluorescence, field spectroscopy and hyperspectral airborne imagery
inferredcites →https://doi.org/10.1016/j.rse.2016.04.026openalex-snapshot
Mapping spatial distribution and biomass of coastal wetland vegetation in Indonesian Papua by combining active and passive remotely sensed data
inferredcites →https://doi.org/10.1016/s0034-4257(00)00197-8openalex-snapshot
Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
inferredcites →https://doi.org/10.1016/s0034-4257(99)00067-xopenalex-snapshot
Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
inferredcites →https://doi.org/10.1038/s41586-019-0951-7openalex-snapshot
Wetland carbon storage controlled by millennial-scale variation in relative sea-level rise
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Worth of wetlands: revised global monetary values of coastal and inland wetland ecosystem services
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An adequate band positioning to enhance NDVI contrasts among green vegetation, senescent biomass, and tropical soils
inferredcites →https://doi.org/10.1080/01431160310001654923openalex-snapshot
Narrow band vegetation indices overcome the saturation problem in biomass estimation
inferredcites →https://doi.org/10.1080/01431161.2013.870676openalex-snapshot
Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression
inferredcites →https://doi.org/10.1080/10106049.2011.591944openalex-snapshot
Usingin situhyperspectral reflectance data to distinguish nine aquatic plant species
inferredcites →https://doi.org/10.1093/jpe/rtn025openalex-snapshot
Estimation of aboveground biomass using in situ hyperspectral measurements in five major grassland ecosystems on the Tibetan Plateau
inferredcites →https://doi.org/10.1093/jpe/rtw132openalex-snapshot
Structural, compositional and trait differences between the mature and the swamp meadow communities
inferredcites →https://doi.org/10.1093/jpe/rtx025openalex-snapshot
Trade-off between leaf chlorophyll and betacyanins in Suaeda salsa in the Liaohe estuary wetland in northeast China
inferredcites →https://doi.org/10.1111/gcb.13629openalex-snapshot
Hydrologic refugia, plants, and climate change
inferredcites →https://doi.org/10.2112/jcoastres-d-16-00194.1openalex-snapshot
Combining Remote Sensing and Field Mapping Methods to Study the Vegetation Dynamics within a Coastal Wetland and Determine the Habitat Effects of a Threatened Bird Species (Emberiza schoeniclus witherbyi)
inferredcites →https://doi.org/10.22438/jeb/38/5(si)/gm-01openalex-snapshot
Determination of sensitive biotopes using GIS: A case study in Mediterranean coastal region
inferredcites →https://doi.org/10.3390/rs61110395openalex-snapshot
Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
inferredcites →https://doi.org/10.3390/su10041127openalex-snapshot
Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China
inferredcites →https://doi.org/10.3390/su10041136openalex-snapshot
Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands
inferredcites →https://doi.org/10.4314/wsa.v33i2.49049openalex-snapshot
A review of hyperspectral remote sensing and its application in vegetation and water resource studies
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4654078openalex-extracted
A Framework to Quantitatively Assess the Influence of Lulc on Coastal Wetland Hydrological Connectivity from a Landscape Resistance Perspective
inferred← citeshttps://doi.org/10.1016/j.ecolind.2024.112365openalex-snapshot
Aboveground biomass retrieval of wetland vegetation at the species level using UAV hyperspectral imagery and machine learning
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.171140openalex-snapshot
A framework to quantitatively assess the influence of land use and land cover on coastal wetland hydrological connectivity from a landscape resistance perspective
inferred← citeshttps://doi.org/10.1029/2024jg008112openalex-snapshot
Imaging Spectroscopy‐Based Estimation of Aboveground Biomass in Louisiana's Coastal Wetlands: Toward Consistent Spectroscopic Retrievals Across Atmospheric States
inferred← citeshttps://doi.org/10.1080/00387010.2021.1928224openalex-snapshot
Plant identification of Beijing Hanshiqiao wetland based on hyperspectral data
inferred← citeshttps://doi.org/10.1080/22797254.2023.2294951openalex-snapshot
Predictions of Spartina alterniflora leaf functional traits based on hyperspectral data and machine learning models
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3708609openalex-snapshot
Hyperspectral Estimation of Community-Weighted Mean Traits in Wetland Plant Communities
inferred← citeshttps://doi.org/10.1117/1.jrs.16.034525openalex-snapshot
Hyperspectral prediction of mangrove leaf stoichiometries in different restoration areas based on machine learning models
inferred← citeshttps://doi.org/10.11834/jrs.20210402openalex-snapshot
Progress in quantitative inversion of vegetation ecological remote sensing parameters
inferred← citeshttps://doi.org/10.17521/cjpe.2022.0104openalex-snapshot
Remotely sensed monitoring method of grassland plant functional diversity and its relationship with productivity based on Sentinel-2 satellite data
inferred← citeshttps://doi.org/10.3390/app15137423openalex-snapshot
High-Resolution Mapping and Biomass Estimation of Suaeda salsa in Coastal Wetlands Using UAV Visible-Light Imagery and Hue Angle Inversion
inferred← citeshttps://doi.org/10.3390/rs12121998openalex-snapshot
Hyperspectral Inversion of Phragmites Communis Carbon, Nitrogen, and Phosphorus Stoichiometry Using Three Models
inferred← citeshttps://doi.org/10.3390/rs13173368openalex-snapshot
Using Field Spectroradiometer to Estimate the Leaf N/P Ratio of Mixed Forest in a Karst Area of Southern China: A Combined Model to Overcome Overfitting
inferred← citeshttps://doi.org/10.3390/rs16163011openalex-snapshot
Estimating Aboveground Biomass of Wetland Plant Communities from Hyperspectral Data Based on Fractional-Order Derivatives and Machine Learning
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