Results 91 to 100 of about 56,702 (212)

Evaluation of AVIRIS-NG hyperspectral images for mineral identification and mapping

Heliyon, 2019
Advancement of airborne hyperspectral remote sensing techniques provides subtle variations to identify minerals and to make distinctions between rock formations. These techniques clearly define barren land versus economically viable zones containing ores
Mahesh Kumar Tripathi, H. Govil
doaj   +1 more source

Biodiversity research requires more motors in air, water and on land

Methods in Ecology and Evolution, EarlyView.
Abstract Human activities have accelerated species extinctions, driving rapid biodiversity decline. Simultaneously, advancements in Artificial Intelligence (AI) and autonomous systems offer transformative potential for biodiversity research. Uncrewed vehicles—drones (aerial systems) and other robots (ground and underwater platforms)—equipped with high ...
Man Qi, Matthew Gadd, Daniele De Martini, Katrina J. Davis, Biao Xiong, Alice Rosen, Sruthi M. Krishna Moorthy, Nick Hawes, Roberto Salguero‐Gómez   +8 more
wiley   +1 more source

Object identification and characterization with hyperspectral imagery to identify structure and function of Natura 2000 habitats [PDF]

, 2010
Habitat monitoring of designated areas under the EU Habitats Directive requires every 6 years information on area, range, structure and function for the protected (Annex I) habitat types.
Delalieux, S., Haest, B., Kooistra, L., Mücher, C.A., Schmidt, A., Spanhove, T., Vanden Borre, J., Vermeulen, M.   +7 more
core   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

X‐ray computed tomography study of terrestrial analog cores in preparation for Mars sample return

Meteoritics &Planetary Science, EarlyView.
Abstract Mars Sample Return (MSR) is expected to transform planetary science by providing unprecedented access to pristine Martian material. Initial characterization in the sample receiving facility (SRF) will rely on nondestructive techniques such as X‐ray computed tomography (XCT) to document the condition, distribution, and internal features of ...
Sophie Benaroya, Christopher D. K. Herd, David T. Flannery, Nicolas Randazzo   +3 more
wiley   +1 more source

Foreword to the Special Issue on Hyperspectral Image and Signal Processing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
This special issue presents advances in signal and image processing related to hyperspectral remote sensing (or imaging spectroscopy). We present the selected 32 articles, which distill the state-of-the-art and the advances in hyperspectral image ...
J. Chanussot, X. Zhu, Y. Gu
doaj   +1 more source

Bridging data silos to holistically model plant macrophenology

New Phytologist, EarlyView.
Summary Phenological response to global climate change can impact ecosystem functions. There are various data sources from which spatiotemporal and taxonomic phenological data may be obtained: mobilized herbaria, community science initiatives, observatory networks, and remote sensing.
Lizbeth G. Amador, Tadeo H. Ramirez‐Parada, Isaac W. Park, Susan J. Mazer, Aaron M. Ellison, Margaret O'Brien, Eric R. Sokol, Colin A. Smith, Charles C. Davis, Sydne Record   +9 more
wiley   +1 more source

Retrieval Lesson Learned from NAST-I Hyperspectral Data [PDF]

The retrieval lesson learned is important to many current and future hyperspectral remote sensors. Validated retrieval algorithms demonstrate the advancement of hyperspectral remote sensing capabilities to be achieved with current and future satellite ...
Larar, Allen M., Liu, Xu, Mango, Stephen A., Smith, William L., Zhou, Daniel K.   +4 more
core   +1 more source

Using reflectance spectra and Pl@ntNet to identify herbarium specimens: a case study with Lithocarpus

New Phytologist, EarlyView.
Summary The digitisation of plant collections is bringing large quantities of information into accessible electronic databases. However, in recent decades, traditional taxonomic work in collections has declined, meaning that more specimens are only determined to family or genus, particularly when lacking key identification structures.
Barbara M. Neto‐Bradley, Pierre Bonnet, Hervé Goëau, Alexis Joly, Jeannine Cavender‐Bares, David A. Coomes   +5 more
wiley   +1 more source