Results 91 to 100 of about 8,883 (219)

A Short Survey of Hyperspectral Remote Sensing and Hyperspectral Remote Sensing Research At TUBITAK UZAY

, 2015
Hyperspectral remote sensing (HSRS) is becoming more and more attractive. Recent advances in sensor technologies enabled numerous applications of this imaging modality. HSRS research has been conducted at TUBITAK UZAY since 2012. This paper provides a short survey of these research and development activities ranging from hyperspectral remote sensing ...
Sakarya, Ufuk, Teke, Mustafa, Demirkesen, Can, Haliloglu, Onur, Kozal, Ali Omer, Deveci, Husne Seda, Oztoprak, A. Feray, Toreyin, Behcet Ugur, Gurbuz, Sevgi Zubeyde   +8 more
openaire   +2 more sources

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Entering the Era of Directly Supporting Society With Observation‐Based Ocean Acidification Data

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract Ocean acidification is a growing concern for many nations around the world. However, our capacity to monitor changes in carbonate chemistry with sufficient spatial and temporal resolution, has until now, been limited, which has impeded effective action and decision‐making at international, national, and regional levels.
Helen S. Findlay, Lucile Gaultier, Luke Gregor, Nicolas Gruber, Peter Land, Daniel Ford, Roberto Sabia, Aleluia Taise‐Uili, Stephen Widdicombe, Jan Newton, Kaitlyn Lowder, Jamie Shutler   +11 more
wiley   +1 more source

HyperspectralViTs: General Hyperspectral Models for On-Board Remote Sensing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
On-board processing of hyperspectral data with machine learning models would enable unprecedented amount of autonomy for a wide range of tasks, for example methane detection or mineral identification. This can enable early warning system and could allow new capabilities such as automated scheduling across constellations of satellites. Classical methods
Vít Ruzicka, Andrew Markham
openaire   +3 more sources

Terrestrial Ecosystem Detection Based on Deep Learning Framework and Satellite Image Geographical Information

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
The proposed deep learning framework integrates ResNet‐50 and LSTM models to detect and classify terrestrial ecosystems from satellite imagery. The workflow begins with image preprocessing using bilateral, guided, and median filters to enhance image quality and preserve edges.
Liang Dong, Fan Lei, Dongliang Huang, Yuye Gong, Jide Wei, Wenjing She   +5 more
wiley   +1 more source

Impact of hyperspectral reconstruction techniques on the quantitative inversion of rice physiological parameters: A case study using the MST++ model

Journal of Integrative Agriculture
Quantitative inversion is a major topic in remote sensing science. The development of visible light-based hyperspectral reconstruction techniques has opened novel prospects for low-cost, high-precision remote sensing inversion in agriculture.
Weiguang Yang, Bin Zhang, Weicheng Xu, Shiyuan Liu, Yubin Lan, Lei Zhang   +5 more
doaj   +1 more source

Linking Plant and Microbial Traits to Soil Carbon for Reliable and Resilient Bioenergy Systems

GCB Bioenergy, Volume 18, Issue 7, July 2026.
Plant–microbe–soil interactions supporting productivity and soil carbon storage in bioenergy systems. Plants supply organic inputs that sustain microbial communities driving nutrient cycling, carbon stabilization, and soil aggregation. These interactions enhance soil structure and nutrient retention, supporting both biomass productivity and broader ...
Aubrey K. Fine, Anis Mahmud Khokon, Ilenne Del Valle Kessra, John L. Field, Laura E. Bartley, Larry M. York, Melissa A. Cregger   +6 more
wiley   +1 more source

Satellite‐Based Assessment of Methane Emissions From the Darvaza Gas Crater

Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract Methane is a potent greenhouse gas, and the Darvaza crater in Turkmenistan is a rare, persistent emitter. There are uncertainties regarding its formation date (either 1963 or 1971), fire ignition, and the fire's influence on methane release. Using historical Landsat imagery, we reconstruct the fire history, identifying that combustion began ...
Adriana Valverde, Itziar Irakulis‐Loitxate, Javier Gorroño, Zhipeng Pei, Javier Roger, Luis Guanter   +5 more
wiley   +1 more source

Two-Orientations Finite Markov Real-Time Local Anomaly Detection via Pixel-by-Pixel Processing for Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Real-time local anomaly detection needs to be performed simultaneously with hyperspectral image acquisition. However, the discussion on the scope of using existing data, mainly focuses on line-by-line data acquisition methods and does not address pixel ...
Shihui Liu, Meiping Song
doaj   +1 more source

A Novel Ice Cloud Optical Property Model for Passive and Active Remote Sensing Applications

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract A new broad‐spectrum ice cloud optical property model, namely the Passive‐Active Remote Sensing Consistent (PARSC) model, is developed to achieve consistency between passive and active sensor‐based ocean‐occurring ice cloud property retrievals.
J. Coy, P. Yang, K. Meyer, J. Riedi, X. Liu   +4 more
wiley   +1 more source