Using vegetation and chlorophyll indices to model above ground biomass over time in an urban arboretum in subtropical Queensland.

No abstract is available for this paper.

• Publication year

  2024

• Venue

  Remote Sensing Applications Society and Environment

• Publication date

  2024-04-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.rsase.2024.101202
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery

  2023cited by this paper
• Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data

  2023cited by this paper
• Seasonal evaluation and mapping of aboveground biomass in natural rangelands using Sentinel-1 and Sentinel-2 data

  2023cited by this paper
• Aboveground Carbon Stock Estimation Model Using Sentinel-2A Imagery in Mbeliling Lanscape in Nusa Tenggara Timur, Indonesia

  2022cited by this paper
• A Review of General Methods for Quantifying and Estimating Urban Trees and Biomass

  2022cited by this paper
• Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning

  2022cited by this paper
• A sentinel-2-based triangular vegetation index for chlorophyll content estimation

  2022cited by this paper
• Development of a methodological approach to estimate vegetation biomass using remote sensing in the Brazilian semiarid NE region.

  2022cited by this paper
• Fine-scale monitoring and mapping of biodiversity and ecosystem services reveals multiple synergies and few tradeoffs in urban green space management.

  2022cited by this paper
• Estimation of above-ground biomass in tropical afro-montane forest using Sentinel-2 derived indices

  2022cited by this paper
• The use of UAV-based remote sensing to estimate biomass and carbon stock for native desert shrubs

  2021cited by this paper
• Forest Aboveground Biomass Estimation and Mapping through High-Resolution Optical Satellite Imagery—A Literature Review

  2021cited by this paper
• Assessing of Urban Vegetation Biomass in Combination with LiDAR and High-resolution Remote Sensing Images

  2021cited by this paper
• Time-Series of Vegetation Indices (VNIR/SWIR) Derived from Sentinel-2 (A/B) to Assess Turgor Pressure in Kiwifruit

  2020cited by this paper
• Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms

  2020cited by this paper
• Estimating urban greenness index using remote sensing data: A case study of an affluent vs poor suburbs in the city of Johannesburg

  2020cited by this paper
• Optimal Combination of Predictors and Algorithms for Forest Above-Ground Biomass Mapping from Sentinel and SRTM Data

  2019cited by this paper
• Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives

  2019cited by this paper
• Selection of vegetation indices for mapping the sugarcane condition around the oil and gas field of North West Java Basin, Indonesia

  2018cited by this paper
• Satellite sun‐induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo‐Gangetic Plains

  2018cited by this paper
• Real time estimation of chlorophyll content based on vegetation indices derived from multispectral UAV in the kinnow orchard

  2018cited by this paper
• Modelling and mapping of above ground biomass (AGB) of oil palm plantations in Malaysia using remotely-sensed data

  2017cited by this paper
• Forest above Ground Biomass Inversion by Fusing GLAS with Optical Remote Sensing Data

  2016cited by this paper
• Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation

  2016cited by this paper
• Urban Forestry & Urban Greening

  2015cited by this paper
• Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

  2015cited by this paper
• A review of the challenges and opportunities in estimating above ground forest biomass using tree-level models

  2015cited by this paper
• Are soil-adjusted vegetation indices better than soil-unadjusted vegetation indices for above-ground green biomass estimation in arid and semi-arid grasslands?

  2015cited by this paper
• Modeling Aboveground Biomass in Dense Tropical Submontane Rainforest Using Airborne Laser Scanner Data

  2015cited by this paper
• Estimating Tree Biomass via Remote Sensing, MSAVI 2, and Fractional Cover Model

  2014cited by this paper
• Urban tree species mapping using hyperspectral and lidar data fusion

  2014cited by this paper
• Carbon storage and sequestration by urban forests in Shenyang, China

  2012cited by this paper
• Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters

  2012cited by this paper
• Improved Forest Biomass and Carbon Estimations Using Texture Measures from WorldView-2 Satellite Data

  2012cited by this paper
• Modeling urban leaf area index with AISA+ hyperspectral data

  2009cited by this paper
• Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation

  2008cited by this paper
• Modeling the carbon cycle of urban systems

  2008cited by this paper
• Three‐band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves

  2006cited by this paper
• The potential and challenge of remote sensing‐based biomass estimation

  2006cited by this paper
• Biomass estimation on grazed and ungrazed rangelands using spectral indices

  1998cited by this paper
• A comparison of vegetation indices over a global set of TM images for EOS-MODIS

  1997cited by this paper
• A Modified Soil Adjusted Vegetation Index

  1994cited by this paper
• Quantitative estimation of chlorophyll-a using reflectance spectra : experiments with autumn chestnut and maple leaves

  1994cited by this paper

• Remote Sensing-Based Mapping of Forest Above-Ground Biomass and Its Relationship with Bioclimatic Factors in the Atacora Mountain Chain (Togo) Using Google Earth Engine

  2026cites this paper
• Modelling above ground biomass for a mixed-tree urban arboretum forest based on a LiDAR-derived canopy height model and field-sampled data

  2025cites this paper
• Comparing LiDAR-generated above-ground biomass with field data in an old-growth native urban forest in Australia

  2025cites this paper
• Quantifying aboveground biomass of small urban remnant forest in South-East Queensland from global ecosystem dynamic investigation laser footprints and sentinel-2 imagery

  2025cites this paper
• Pasture biomass mapping in hill country using remote sensing and geospatial tools

  2025cites this paper
• Hyperspectral Estimation of Leaf Nitrogen Content in White Radish Based on Feature Selection and Integrated Learning

  2024cites this paper