Remote sensing and cropping practices: A review
For agronomic, environmental, and economic reasons, the need for spatialized information
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …
Satellite remote sensing of grasslands: from observation to management
Aims Grasslands are the world's most extensive terrestrial ecosystem, and are a major feed
source for livestock. Meeting increasing demand for meat and other dairy products in a …
source for livestock. Meeting increasing demand for meat and other dairy products in a …
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 …
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 …
Modeling grassland above-ground biomass based on artificial neural network and remote sensing in the Three-River Headwaters Region
S Yang, Q Feng, T Liang, B Liu, W Zhang… - Remote Sensing of …, 2018 - Elsevier
Effective and accurate monitoring of grassland above-ground biomass (AGB) is important for
pastoral agriculture planning and management. In this study, we combined 1433 AGB field …
pastoral agriculture planning and management. In this study, we combined 1433 AGB field …
Examining the potential of Sentinel-2 MSI spectral resolution in quantifying above ground biomass across different fertilizer treatments
The major constraint in understanding grass above ground biomass variations using
remotely sensed data are the expenses associated with the data, as well as the limited …
remotely sensed data are the expenses associated with the data, as well as the limited …
Assessing of urban vegetation biomass in combination with LiDAR and high-resolution remote sensing images
Y Zhang, Z Shao - International Journal of Remote Sensing, 2021 - Taylor & Francis
The urban vegetation ecosystem is a vegetation ecosystem that is deeply influenced by
human beings. The rapid urbanization process brings a great influence on the growth …
human beings. The rapid urbanization process brings a great influence on the growth …
Review of the use of remote sensing for biomass estimation to support renewable energy generation
The quantification, mapping and monitoring of biomass are now central issues due to the
importance of biomass as a renewable energy source in many countries of the world. The …
importance of biomass as a renewable energy source in many countries of the world. The …
Modeling managed grassland biomass estimation by using multitemporal remote sensing data—A machine learning approach
I Ali, F Cawkwell, E Dwyer… - IEEE Journal of Selected …, 2016 - ieeexplore.ieee.org
More than 80% of agricultural land in Ireland is grassland, which is a major feed source for
the pasture based dairy farming and livestock industry. Many studies have been undertaken …
the pasture based dairy farming and livestock industry. Many studies have been undertaken …
[HTML][HTML] A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows
Coastal meadows provide a wide range of ecosystem services worldwide. In order to better
target conservation efforts in these ecosystems, it is necessary to develop highly accurate …
target conservation efforts in these ecosystems, it is necessary to develop highly accurate …