Remote sensing for agricultural applications: A meta-review
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …
for human livelihood. Today, this role must be satisfied within a context of environmental …
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 …
A review of methods to improve nitrogen use efficiency in agriculture
LK Sharma, SK Bali - Sustainability, 2017 - mdpi.com
Management of nitrogen (N) is a challenging task and several methods individually and in
combination are in use to manage its efficiency. However, nitrogen use efficiency (NUE) has …
combination are in use to manage its efficiency. However, nitrogen use efficiency (NUE) has …
Comparison of different vegetation indices for the remote assessment of green leaf area index of crops
A Viña, AA Gitelson, AL Nguy-Robertson… - Remote sensing of …, 2011 - Elsevier
Many algorithms have been developed for the remote estimation of biophysical
characteristics of vegetation, in terms of combinations of spectral bands, derivatives of …
characteristics of vegetation, in terms of combinations of spectral bands, derivatives of …
Forest biomass estimation from airborne LiDAR data using machine learning approaches
CJ Gleason, J Im - Remote Sensing of Environment, 2012 - Elsevier
During the past decade, procedures for forest biomass quantification from light detection and
ranging (LiDAR) data have been improved at a rapid pace. The scope of these methods …
ranging (LiDAR) data have been improved at a rapid pace. The scope of these methods …
The application of artificial neural networks to the analysis of remotely sensed data
Artificial neural networks (ANNs) have become a popular tool in the analysis of remotely
sensed data. Although significant progress has been made in image classification based …
sensed data. Although significant progress has been made in image classification based …
A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling
During the last 50 years, the management of agroecosystems has been undergoing major
changes to meet the growing demand for food, timber, fibre and fuel. As a result of this …
changes to meet the growing demand for food, timber, fibre and fuel. As a result of this …
LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements
The study shows that leaf area index (LAI), leaf chlorophyll content (LCC) and canopy
chlorophyll content (CCC) can be mapped in a heterogeneous Mediterranean grassland …
chlorophyll content (CCC) can be mapped in a heterogeneous Mediterranean grassland …
Development of soft computing and applications in agricultural and biological engineering
Soft computing is a set of “inexact” computing techniques, which are able to model and
analyze very complex problems. For these complex problems, more conventional methods …
analyze very complex problems. For these complex problems, more conventional methods …
Hyperspectral remote sensing of agriculture
Remote sensing is being increasingly used in different agricultural applications.
Hyperspectral remote sensing in large continuous narrow wavebands provides significant …
Hyperspectral remote sensing in large continuous narrow wavebands provides significant …