[HTML][HTML] A review of carbon monitoring in wet carbon systems using remote sensing
Carbon monitoring is critical for the reporting and verification of carbon stocks and change.
Remote sensing is a tool increasingly used to estimate the spatial heterogeneity, extent and …
Remote sensing is a tool increasingly used to estimate the spatial heterogeneity, extent and …
[HTML][HTML] Remote sensing of boreal wetlands 2: methods for evaluating boreal wetland ecosystem state and drivers of change
The following review is the second part of a two part series on the use of remotely sensed
data for quantifying wetland extent and inferring or measuring condition for monitoring …
data for quantifying wetland extent and inferring or measuring condition for monitoring …
[HTML][HTML] Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Background Above-ground biomass (AGB) is a basic agronomic parameter for field
investigation and is frequently used to indicate crop growth status, the effects of agricultural …
investigation and is frequently used to indicate crop growth status, the effects of agricultural …
Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images
Grassland degradation has accelerated in recent decades in response to increased climate
variability and human activity. Rangeland and grassland conditions directly affect forage …
variability and human activity. Rangeland and grassland conditions directly affect forage …
[HTML][HTML] Estimating aboveground biomass using Sentinel-2 MSI data and ensemble algorithms for grassland in the Shengjin Lake Wetland, China
C Li, L Zhou, W Xu - Remote Sensing, 2021 - mdpi.com
Wetland vegetation aboveground biomass (AGB) directly indicates wetland ecosystem
health and is critical for water purification, carbon cycle, and biodiversity conservation …
health and is critical for water purification, carbon cycle, and biodiversity conservation …
Comparison of machine learning algorithms for forest parameter estimations and application for forest quality assessments
Q Zhao, S Yu, F Zhao, L Tian, Z Zhao - Forest Ecology and Management, 2019 - Elsevier
Forest parameters have been estimated using various regression methods based on
satellite data. However, there are a few concerns regarding further application of these …
satellite data. However, there are a few concerns regarding further application of these …
[HTML][HTML] Estimating forest aboveground biomass using Gaofen-1 images, Sentinel-1 images, and machine learning algorithms: A case study of the Dabie Mountain …
H Han, R Wan, B Li - Remote Sensing, 2021 - mdpi.com
Quantitatively mapping forest aboveground biomass (AGB) is of great significance for the
study of terrestrial carbon storage and global carbon cycles, and remote sensing-based data …
study of terrestrial carbon storage and global carbon cycles, and remote sensing-based data …
Comparison between geostatistical and machine learning models as predictors of topsoil organic carbon with a focus on local uncertainty estimation
F Veronesi, C Schillaci - Ecological Indicators, 2019 - Elsevier
In recent years, the environmental modeling community has moved away from kriging as the
main mapping algorithm and embraced machine learning (ML) as the go-to method for …
main mapping algorithm and embraced machine learning (ML) as the go-to method for …
Object-based random forest modelling of aboveground forest biomass outperforms a pixel-based approach in a heterogeneous and mountain tropical environment
EMO Silveira, SHG Silva, FW Acerbi-Junior… - International Journal of …, 2019 - Elsevier
Abstract The Brazilian Atlantic Forest is a highly heterogeneous biome of global ecological
significance with high levels of terrestrial carbon stocks and aboveground biomass (AGB) …
significance with high levels of terrestrial carbon stocks and aboveground biomass (AGB) …
[HTML][HTML] Large-scale high-resolution coastal mangrove forests mapping across West Africa with machine learning ensemble and satellite big data
Coastal mangrove forests provide important ecosystem goods and services, including
carbon sequestration, biodiversity conservation, and hazard mitigation. However, they are …
carbon sequestration, biodiversity conservation, and hazard mitigation. However, they are …