A review of estimation methods for aboveground biomass in grasslands using UAV

COG Bazzo, B Kamali, C Hütt, G Bareth, T Gaiser - Remote Sensing, 2023 - mdpi.com
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 …

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

VG Nguyen, P Sharma, Ü Ağbulut… - Biofuels, Bioproducts …, 2024 - Wiley Online Library
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 …

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 …

[HTML][HTML] Dealing with clustered samples for assessing map accuracy by cross-validation

S De Bruin, DJ Brus, GBM Heuvelink… - Ecological …, 2022 - Elsevier
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 …

[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 …

Cross-scale map** of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland

A Chen, C Xu, M Zhang, J Guo, X **ng, D Yang… - Remote Sensing of …, 2024 - Elsevier
Shrub encroachment, characterized by the proliferation of shrubs into grasslands, is a
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

J Leukel, T Zimpel, C Stumpe - Computers and Electronics in Agriculture, 2023 - Elsevier
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 …

[HTML][HTML] Comparing the performance of machine learning algorithms for estimating aboveground biomass in typical steppe of northern China using Sentinel imageries

N Wu, LGT Crusiol, G Liu, D Wuyun, G Han - Ecological Indicators, 2023 - Elsevier
Monitoring aboveground biomass (AGB) is crucial for assessing, managing, and utilizing
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 …

A survey on applications of unmanned aerial vehicles using machine learning

K Teixeira, G Miguel, HS Silva, F Madeiro - IEEE Access, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …