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A review of estimation methods for aboveground biomass in grasslands using UAV
Grasslands are one of the world's largest ecosystems, accounting for 30% of total terrestrial
biomass. Considering that aboveground biomass (AGB) is one of the most essential …
biomass. Considering that aboveground biomass (AGB) is one of the most essential …
Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
Biochar is emerging as a potential solution for biomass conversion to meet the ever
increasing demand for sustainable energy. Efficient management systems are needed in …
increasing demand for sustainable energy. Efficient management systems are needed in …
Spatiotemporal dynamics of grassland aboveground biomass and its driving factors in North China over the past 20 years
J Ge, M Hou, T Liang, Q Feng, X Meng, J Liu… - Science of the Total …, 2022 - Elsevier
Although remote sensing has enabled rapid monitoring of grassland aboveground biomass
(AGB) at a regional scale, it is still a difficult challenge to construct an accurate estimation …
(AGB) at a regional scale, it is still a difficult challenge to construct an accurate estimation …
[HTML][HTML] Dealing with clustered samples for assessing map accuracy by cross-validation
Map** of environmental variables often relies on map accuracy assessment through cross-
validation with the data used for calibrating the underlying map** model. When the data …
validation with the data used for calibrating the underlying map** model. When the data …
[HTML][HTML] Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates
Z Jia, Z Zhang, Y Cheng, S Borjigin, Z Quan - Ecological Indicators, 2024 - Elsevier
Aboveground biomass (AGB) is a key index that reflects grassland health and is of great
importance for grassland conservation and sustainable utilization. Many previous studies on …
importance for grassland conservation and sustainable utilization. Many previous studies on …
Cross-scale map** of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland
Shrub encroachment, characterized by the proliferation of shrubs into grasslands, is a
challenge faced by grasslands worldwide that significantly impacts livestock production and …
challenge faced by grasslands worldwide that significantly impacts livestock production and …
Machine learning technology for early prediction of grain yield at the field scale: A systematic review
Abstract Machine learning (ML) has become an important technology for the development of
prediction models for crop yield. Predictive modeling using ML is rapidly growing as …
prediction models for crop yield. Predictive modeling using ML is rapidly growing as …
[HTML][HTML] Comparing the performance of machine learning algorithms for estimating aboveground biomass in typical steppe of northern China using Sentinel imageries
Monitoring aboveground biomass (AGB) is crucial for assessing, managing, and utilizing
grassland ecosystems. While the technical form of combining remote sensing and machine …
grassland ecosystems. While the technical form of combining remote sensing and machine …
Dynamic monitoring of aboveground biomass in inner Mongolia grasslands over the past 23 Years using GEE and analysis of its driving forces
D Yang, Z Yang, Q Wen, L Ma, J Guo, A Chen… - Journal of …, 2024 - Elsevier
Aboveground biomass (AGB) in grasslands directly reflects the net primary productivity,
making it a sensitive indicator of grassland resource quality and ecological degradation …
making it a sensitive indicator of grassland resource quality and ecological degradation …
A survey on applications of unmanned aerial vehicles using machine learning
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …
health, transport, telecommunications and safe and rescue operations. Their adoption can …