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[HTML][HTML] A review of spectral indices for mangrove remote sensing
Mangrove ecosystems provide critical goods and ecosystem services to coastal
communities and contribute to climate change mitigation. Over four decades, remote …
communities and contribute to climate change mitigation. Over four decades, remote …
Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges
The mangrove ecosystem plays a vital role in the global carbon cycle, by reducing
greenhouse gas emissions and mitigating the impacts of climate change. However …
greenhouse gas emissions and mitigating the impacts of climate change. However …
A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning
With an increasing volume and dimensionality of Earth observation data, enhanced
integration of machine-learning methodologies is needed to effectively analyze and utilize …
integration of machine-learning methodologies is needed to effectively analyze and utilize …
[HTML][HTML] High-resolution mangrove forests classification with machine learning using worldview and UAV hyperspectral data
Y Jiang, L Zhang, M Yan, J Qi, T Fu, S Fan, B Chen - Remote Sensing, 2021 - mdpi.com
Mangrove forests, as important ecological and economic resources, have suffered a loss in
the area due to natural and human activities. Monitoring the distribution of and obtaining …
the area due to natural and human activities. Monitoring the distribution of and obtaining …
Remote sensing for cost-effective blue carbon accounting
Blue carbon ecosystems (BCE) include mangrove forests, tidal marshes, and seagrass
meadows, all of which are currently under threat, putting their contribution to mitigating …
meadows, all of which are currently under threat, putting their contribution to mitigating …
[HTML][HTML] Newly-developed three-band hyperspectral vegetation index for estimating leaf relative chlorophyll content of mangrove under different severities of pest and …
Hyperspectral imaging-derived vegetation indices (VIs) have rarely been developed to
estimate leaf chlorophyll content of mangrove forests under pest and disease stress …
estimate leaf chlorophyll content of mangrove forests under pest and disease stress …
An assessment of commonly employed satellite-based remote sensors for map** mangrove species in Mexico using an NDVI-based classification scheme
L Valderrama-Landeros, F Flores-de-Santiago… - Environmental …, 2018 - Springer
Optimizing the classification accuracy of a mangrove forest is of utmost importance for
conservation practitioners. Mangrove forest map** using satellite-based remote sensing …
conservation practitioners. Mangrove forest map** using satellite-based remote sensing …
[HTML][HTML] Map** leaf chlorophyll content of mangrove forests with Sentinel-2 images of four periods
Chlorophyll is a good indicator of health status and nutritional condition as plant grows.
Many studies have investigated the feasibility of retrieving leaf chlorophyll content (LCC) …
Many studies have investigated the feasibility of retrieving leaf chlorophyll content (LCC) …
Monitoring mangrove forests: Are we taking full advantage of technology?
Mangrove forests grow in the estuaries of 124 tropical countries around the world. Because
in-situ monitoring of mangroves is difficult and time-consuming, remote sensing …
in-situ monitoring of mangroves is difficult and time-consuming, remote sensing …
[HTML][HTML] Exploring the potential of worldview-2 red-edge band-based vegetation indices for estimation of mangrove leaf area index with machine learning algorithms
To accurately estimate leaf area index (LAI) in mangrove areas, the selection of appropriate
models and predictor variables is critical. However, there is a major challenge in quantifying …
models and predictor variables is critical. However, there is a major challenge in quantifying …