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 …
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 …
[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
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) …
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 …
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 …
Map** mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods
Leaf area index (LAI) is a vital parameter reflecting vegetation structure, physio‐ecological
process and growth development. Accurate estimation of mangrove LAI is fundamental for …
process and growth development. Accurate estimation of mangrove LAI is fundamental for …