Evaluation of the PROSAIL model capabilities for future hyperspectral model environments: A review study
Upcoming satellite hyperspectral sensors require powerful and robust methodologies for
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …
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 …
A generalizable and accessible approach to machine learning with global satellite imagery
Combining satellite imagery with machine learning (SIML) has the potential to address
global challenges by remotely estimating socioeconomic and environmental conditions in …
global challenges by remotely estimating socioeconomic and environmental conditions in …
Hyperspectral dimensionality reduction for biophysical variable statistical retrieval
Current and upcoming airborne and spaceborne imaging spectrometers lead to vast
hyperspectral data streams. This scenario calls for automated and optimized spectral …
hyperspectral data streams. This scenario calls for automated and optimized spectral …
Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing
C Carter, S Liang - International Journal of Applied Earth Observation and …, 2019 - Elsevier
Remote sensing retrieval of evapotranspiration (ET), or surface latent heat exchange (LE), is
of great utility for many applications. Machine learning (ML) methods have been extensively …
of great utility for many applications. Machine learning (ML) methods have been extensively …
Derivation of global vegetation biophysical parameters from EUMETSAT Polar System
FJ García-Haro, M Campos-Taberner… - ISPRS journal of …, 2018 - Elsevier
This paper presents the algorithm developed in LSA-SAF (Satellite Application Facility for
Land Surface Analysis) for the derivation of global vegetation parameters from the AVHRR …
Land Surface Analysis) for the derivation of global vegetation parameters from the AVHRR …
An experimental based optimization of a novel water lean amine solvent for post combustion CO2 capture process
The development of new amine solvents without the major drawbacks of conventional
amines is crucial to industrial applications of CO 2 capture. This paper presents a water-lean …
amines is crucial to industrial applications of CO 2 capture. This paper presents a water-lean …
Big Remotely Sensed Data: tools, applications and experiences
The increased availability of large remote sensing datasets is generating heightened
interest within the geoscience community, and more generally within human society. Indeed …
interest within the geoscience community, and more generally within human society. Indeed …
Remote sensing image classification with large-scale Gaussian processes
P Morales-Alvarez, A Pérez-Suay… - … on Geoscience and …, 2017 - ieeexplore.ieee.org
Current remote sensing image classification problems have to deal with an unprecedented
amount of heterogeneous and complex data sources. Upcoming missions will soon provide …
amount of heterogeneous and complex data sources. Upcoming missions will soon provide …
Classification of VHR multispectral images using extratrees and maximally stable extremal region-guided morphological profile
Pixel-based contextual classification methods, including morphological profiles (MPs),
extended MPs, attribute profiles (APs), and MPs with partial reconstruction (MPPR), have …
extended MPs, attribute profiles (APs), and MPs with partial reconstruction (MPPR), have …