Results 101 to 110 of about 1,605,385 (193)

Atmospheric Correction for Multispectral Satellite Imagery: An introductory review

Geofísica Internacional
Remote Sensing provides valuable information about objects or remote areas, either using active sensors (i.e. RADAR and LiDAR) or passive (i.e. multispectral or hyperspectral imagery) using satellite retrieved images.
Arturo Jasso, Ignacio Muñoz, David Pinto, Juan Manuel Ramírez   +3 more
doaj   +1 more source

Classifying Hyperspectral Remote Sensing Imagery With Independent Component Analysis

, 2005
In this paper, we investigate the application of independent component analysis (ICA) to remotely sensed hyperspectralimage classification. We focus on the performance of Joint Approximate Diagonalization of Eigenmatrices (JADE) algorithm, although the proposed method is applicable to other popular ICA algorithms.
Du, Qian, Kopriva, Ivica, Szu, Harold
openaire   +2 more sources

Hyperspectral Image Resolution Enhancement Based on Spectral Unmixing and Information Fusion [PDF]

, 2011
Hyperspectral imaging sensors exibit high spectral resolution, but normally low spatial resolution. This leads to spectral signatures of pixels originating from different object types. Such pixels are called mixed pixels.
Avbelj, Janja, Reinartz, Peter, Müller, Rupert, Cerra, Daniele, Bieniarz, Jakub   +4 more
core  

Affordable Phenomics special topic—Foreword for The Plant Phenome Journal

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract The Affordable Phenomics special topic in The Plant Phenome Journal showcased recent advances that expand the accessibility, cost‐effectiveness, and scalability of plant phenotyping technologies. This collection of 15 articles presented innovative approaches, ranging from low‐cost sensors and open‐source analytical pipelines to artificial ...
Valerio Hoyos‐Villegas, Michael A. Gore   +1 more
wiley   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

Value of hyperspectral data for wall to wall wetland vegetation mapping in heterogeneous landscapes

Scientific Reports
Remote sensing is increasingly employed today for the creation of wall-to-wall vegetation maps of protected areas. The main objective of this study was to evaluate whether it is feasible to develop a remote sensing-based wall-to-wall vegetation map of ...
Anna Jarocińska, Dominik Kopeć, Jan Niedzielko, Anna Halladin-Dąbrowska, Marlena Kycko   +4 more
doaj   +1 more source

Ultra-high-resolution hyperspectral imagery datasets for precision agriculture applications

Data in Brief
Technology infusion in agriculture has been progressing steadily, touching upon various spheres of agriculture such as crop identification, soil classification, yield prediction, disease detection, and weed-crop discrimination.
Vamshi Krishna Munipalle, Usha Rani Nelakuditi, Manohar Kumar C．V．S．S．, Rama Rao Nidamanuri   +3 more
doaj   +1 more source

Insights into biomass accumulation and challenges in grain yield prediction of elite breeding materials using UAV‐based vegetation indices in soft red winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract High‐throughput phenotyping (HTP) techniques have brought new opportunities to understand and evaluate key traits in plant breeding programs. Combining multiple measures through time and random regression models permits a more comprehensive understanding of the genetic and environmental effects on trait expression over time. This study aims to
Felipe Sabadin, Amelia Loeb, Francis Reith, Alexis Perry, Sunilda Frias, Demetrius Ragland, Limei Liu, Wynse Brooks, Ranjita Thapa, Julie Hansen, Christopher Pierce, Virginia M. Moore, Gina Brown‐Guedira, Ian Ray, Michael A. Gore, Kelly Robbins, Nicholas Santantonio   +16 more
wiley   +1 more source

Capturing accurate kelp canopy extent: integrating tides, currents, and species-level morphology in kelp remote sensing

Frontiers in Environmental Science
Surface-canopy forming kelps (Macrocystis pyrifera and Nereocystis luetkeana) can be monitored along the Northeast Pacific coast using remote sensing. These kelp canopies can be submerged by tides and currents, making it difficult to accurately determine
Brian Timmer, Luba Y. Reshitnyk, Margot Hessing-Lewis, Francis Juanes, Lianna Gendall, Maycira Costa   +5 more
doaj   +1 more source

Validation and calibration of remote sensing data products on test site DEMMIN. [PDF]

, 2008
One of the main research objectives of the working group Thematic Processors and Validation (TPV) of the Remote Sensing Data Centre (DLR-DFD) is the automation of remote sensing data processing.
Fichtelmann, Bernd, Maass, Holger, Zabel, Edgar, Vajen, Hans-Hermann, Günther, Adolf, Wloczyk, Carolin, Borg, Erik, Gerighausen, Heike   +7 more
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