An overview of global leaf area index (LAI): Methods, products, validation, and applications
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …
feedback of vegetation to the climate system. The advancement of the global Earth …
Precision agriculture for resource use efficiency in smallholder farming systems in sub-saharan africa: A systematic review
Opportunities exist for adoption of precision agriculture technologies in all parts of the world.
The form of precision agriculture may vary from region to region depending on technologies …
The form of precision agriculture may vary from region to region depending on technologies …
Crop monitoring using satellite/UAV data fusion and machine learning
M Maimaitijiang, V Sagan, P Sidike, AM Daloye… - Remote Sensing, 2020 - mdpi.com
Non-destructive crop monitoring over large areas with high efficiency is of great significance
in precision agriculture and plant phenotyping, as well as decision making with regards to …
in precision agriculture and plant phenotyping, as well as decision making with regards to …
Retrieving soybean leaf area index from unmanned aerial vehicle hyperspectral remote sensing: Analysis of RF, ANN, and SVM regression models
H Yuan, G Yang, C Li, Y Wang, J Liu, H Yu, H Feng… - Remote Sensing, 2017 - mdpi.com
Leaf area index (LAI) is an important indicator of plant growth and yield that can be
monitored by remote sensing. Several models were constructed using datasets derived from …
monitored by remote sensing. Several models were constructed using datasets derived from …
Estimating leaf area index and light extinction coefficient using Random Forest regression algorithm in a tropical moist deciduous forest, India
Leaf area index (LAI) and light extinction coefficient (k) are the key structural parameters
controlling many canopy functions like radiation and water interception, radiation extinction …
controlling many canopy functions like radiation and water interception, radiation extinction …
Estimating forest stock volume in Hunan Province, China, by integrating in situ plot data, Sentinel-2 images, and linear and machine learning regression models
The forest stock volume (FSV) is one of the key indicators in forestry resource assessments
on local, regional, and national scales. To date, scaling up in situ plot-scale measurements …
on local, regional, and national scales. To date, scaling up in situ plot-scale measurements …
Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods
Leaf area index (LAI) is a vital parameter reflecting vegetation structure, physio‐ecological
process and growth development. Accurate estimation of mangrove LAI is fundamental for …
process and growth development. Accurate estimation of mangrove LAI is fundamental for …
A comparative analysis of SLR, MLR, ANN, XGBoost and CNN for crop height estimation of sunflower using Sentinel-1 and Sentinel-2
Sustainable monitoring and determining the biophysical characteristics of crops is of global
importance due to the increase in demand for food. In this context, remote sensing data …
importance due to the increase in demand for food. In this context, remote sensing data …
Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery
The leaf, which is a crucial indicator for evaluating crop status, plays an important role in
plants' functions. Determining and monitoring leaf parameters can facilitate the detection …
plants' functions. Determining and monitoring leaf parameters can facilitate the detection …
A review of hybrid approaches for quantitative assessment of crop traits using optical remote sensing: research trends and future directions
A Abdelbaki, T Udelhoven - Remote Sensing, 2022 - mdpi.com
Remote sensing technology allows to provide information about biochemical and
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …