[HTML][HTML] Review of remote sensing applications in grassland monitoring

Z Wang, Y Ma, Y Zhang, J Shang - Remote Sensing, 2022‏ - mdpi.com
The application of remote sensing technology in grassland monitoring and management has
been ongoing for decades. Compared with traditional ground measurements, remote …

A systematic review on the use of remote sensing technologies in quantifying grasslands ecosystem services

A Masenyama, O Mutanga, T Dube… - GIScience & Remote …, 2022‏ - Taylor & Francis
The last decade has seen considerable progress in scientific research on vegetation
ecosystem services. While much research has focused on forests and wetlands, grasslands …

[HTML][HTML] Estimation of grassland aboveground biomass in northern China based on topography-climate-remote sensing data

Y Yao, H Ren - Ecological Indicators, 2024‏ - Elsevier
Accurately assessing grassland aboveground biomass (AGB) over large areas is essential
for the conservation of grassland resource and the improvement of ecological environment …

Comparing the utility of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) on Sentinel-2 MSI to estimate dry season aboveground grass …

MI Vawda, R Lottering, O Mutanga, K Peerbhay… - Sustainability, 2024‏ - mdpi.com
Grasslands are biomes of significant fiscal, social and environmental value. Grassland or
rangeland management often monitors and manages grassland productivity. Productivity is …

[HTML][HTML] An overview of using unmanned aerial system mounted sensors to measure plant above-ground biomass

A Bazrafkan, N Delavarpour, PG Oduor, N Bandillo… - Remote Sensing, 2023‏ - mdpi.com
Conventional measurement methods for above-ground biomass (AGB) are time-consuming,
inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a …

[HTML][HTML] Retrieval of grassland aboveground biomass across three ecoregions in China during the past two decades using satellite remote sensing technology and …

H Wu, S An, B Meng, X Chen, F Li - International Journal of Applied Earth …, 2024‏ - Elsevier
The aboveground biomass (AGB) is closely linked to the carbon cycle in grassland
ecosystems worldwide. Accurately quantifying AGB variations is thus essential for assessing …

[HTML][HTML] Estimation of bale grazing and sacrificed pasture biomass through the integration of Sentinel satellite images and machine learning techniques

M Vahidi, S Shafian, S Thomas, R Maguire - Remote Sensing, 2023‏ - mdpi.com
Quantifying the forage biomass in pastoral systems can be used for enhancing farmers'
decision-making in precision management and optimizing livestock feeding systems. In this …

Remote sensing grassland productivity attributes: a systematic review

T Bangira, O Mutanga, M Sibanda, T Dube… - Remote Sensing, 2023‏ - mdpi.com
A third of the land on the Earth is composed of grasslands, mainly used for forage. Much
effort is being conducted to develop tools to estimate grassland productivity (GP) at different …

[HTML][HTML] Hyperspectral monitoring driven by machine learning methods for grassland above-ground biomass

W Huang, W Li, J Xu, X Ma, C Li, C Liu - Remote Sensing, 2022‏ - mdpi.com
Above-ground biomass (AGB) is a key indicator for studying grassland productivity and
evaluating carbon sequestration capacity; it is also a key area of interest in hyperspectral …

[HTML][HTML] A novel remote sensing method for monitoring Large-Scale grassland aboveground Biomass: The case study of grassland key belt in the Tibetan Plateau

J Wang, A Zhang, J Shi, X Kang, N He, X Gao… - Ecological Indicators, 2024‏ - Elsevier
The harsh climate and vast terrain of the Tibetan Plateau present significant challenges for
large-scale remote sensing monitoring of grasslands, particularly in regions where the …