[HTML][HTML] 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 …
[HTML][HTML] A review of globally available data sources for modelling the Water-Energy-Food Nexus
Abstract The Water-Energy-Food Nexus (WEFN) is gaining attention as an important
approach to manage resources more holistically. Data availability, however, is a crucial …
approach to manage resources more holistically. Data availability, however, is a crucial …
Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery
The recent launch of the Sentinel-1 (SAR) and Sentinel-2 (multispectral) missions offers a
new opportunity for land-based biomass mapping and monitoring especially in the tropics …
new opportunity for land-based biomass mapping and monitoring especially in the tropics …
[HTML][HTML] Remote sensing of above-ground biomass
Accurate measurement and mapping of biomass is a critical component of carbon stock
quantification, climate change impact assessment, suitability and location of bio-energy …
quantification, climate change impact assessment, suitability and location of bio-energy …
[HTML][HTML] Examining spectral reflectance saturation in Landsat imagery and corresponding solutions to improve forest aboveground biomass estimation
The data saturation problem in Landsat imagery is well recognized and is regarded as an
important factor resulting in inaccurate forest aboveground biomass (AGB) estimation …
important factor resulting in inaccurate forest aboveground biomass (AGB) estimation …
[HTML][HTML] Estimating pasture biomass using sentinel-2 imagery and machine learning
Effective dairy farm management requires the regular estimation and prediction of pasture
biomass. This study explored the suitability of high spatio-temporal resolution Sentinel-2 …
biomass. This study explored the suitability of high spatio-temporal resolution Sentinel-2 …
Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data
The objective of this research is to test Sentinel-1 SAR multitemporal data, supported by
multispectral and SAR data at other wavelengths, for fine-scale mapping of above-ground …
multispectral and SAR data at other wavelengths, for fine-scale mapping of above-ground …
[HTML][HTML] Estimation of forest above-ground biomass by geographically weighted regression and machine learning with sentinel imagery
Accurate forest above-ground biomass (AGB) is crucial for sustaining forest management
and mitigating climate change to support REDD+ (reducing emissions from deforestation …
and mitigating climate change to support REDD+ (reducing emissions from deforestation …
Combined use of Sentinel-1 and Sentinel-2 data for improving above-ground biomass estimation
N Nuthammachot, A Askar, D Stratoulias… - Geocarto …, 2022 - Taylor & Francis
Above-ground Biomass (AGB) represents the largest amount of biomass found on earth.
Passive and active remote sensors have been a useful tool in estimating AGB for this …
Passive and active remote sensors have been a useful tool in estimating AGB for this …
Remote sensing as a tool to assess botanical composition, structure, quantity and quality of temperate grasslands
M Wachendorf, T Fricke, T Möckel - Grass and forage science, 2018 - Wiley Online Library
Grassland systems frequently exhibit small‐scale botanical and structural heterogeneity with
pronounced spatio‐temporal dynamics. These features present particular challenges for …
pronounced spatio‐temporal dynamics. These features present particular challenges for …