A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges
We review both widely used methods and new techniques proposed in the recent literature.
The basic concepts, categories, open issues, and challenges related to CD in HS images …
The basic concepts, categories, open issues, and challenges related to CD in HS images …
Support vector machines in remote sensing: A review
A wide range of methods for analysis of airborne-and satellite-derived imagery continues to
be proposed and assessed. In this paper, we review remote sensing implementations of …
be proposed and assessed. In this paper, we review remote sensing implementations of …
Hyperspectral classification of plants: A review of waveband selection generalisability
Hyperspectral sensing, measuring reflectance over visible to shortwave infrared
wavelengths, has enabled the classification and mapping of vegetation at a range of …
wavelengths, has enabled the classification and mapping of vegetation at a range of …
Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector …
Mapping of patterns and spatial distribution of land-use/cover (LULC) has long been based
on remotely sensed data. In the recent past, efforts to improve the reliability of LULC maps …
on remotely sensed data. In the recent past, efforts to improve the reliability of LULC maps …
Application of hyperspectral remote sensing role in precision farming and sustainable agriculture under climate change: A review
CB Pande, KN Moharir - Climate Change Impacts on Natural Resources …, 2023 - Springer
Each year, scholars, agronomists, scientists, and engineers have implemented several
technologies to improve low-cost agricultural production, but this has detrimental …
technologies to improve low-cost agricultural production, but this has detrimental …
Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data
L Liu, NC Coops, NW Aven, Y Pang - Remote Sensing of Environment, 2017 - Elsevier
Mapping tree species within urban areas is essential for sustainable urban planning as well
as to improve our understanding of the role of urban vegetation as an ecological service …
as to improve our understanding of the role of urban vegetation as an ecological service …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes
AP Dalla Corte, DV Souza, FE Rex… - … and Electronics in …, 2020 - Elsevier
The high dimensionality of data generated by Unmanned Aerial Vehicle (UAV)-Lidar makes
it difficult to use classical statistical techniques to design accurate predictive models from …
it difficult to use classical statistical techniques to design accurate predictive models from …
Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data
The identification of tree species is an important issue in forest management. In recent years,
many studies have explored this topic using hyperspectral, multispectral, and LiDAR data. In …
many studies have explored this topic using hyperspectral, multispectral, and LiDAR data. In …
A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales
Abstract Knowledge of tree species distribution is important worldwide for sustainable forest
management and resource evaluation. The accuracy and information content of species …
management and resource evaluation. The accuracy and information content of species …