Results 121 to 130 of about 8,406 (209)

Identification of Bamboo Species Based on Extreme Gradient Boosting (XGBoost) Using Zhuhai-1 Orbita Hyperspectral Remote Sensing Imagery. [PDF]

Sensors (Basel), 2022
Zhou G, Ni Z, Zhao Y, Luan J.
europepmc   +1 more source

Capturing Spatial Gradients of Water Color and Clarity in Subtropical Reservoirs During Drought

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 3, March 2026.
Abstract Reservoirs have spatial variation in water depth, suspended matter, and biogeochemistry that can influence patterns of water clarity and color. Spatial surveys with sensor‐equipped boats matched in time with satellite image acquisition provide data‐intensive avenues for understanding spatial patterns of optical properties within reservoirs. We
Malcolm S. Macleod, Nicole D. Wagner, Xiao Yang, Stephen M. Powers   +3 more
wiley   +1 more source

Double‐Peaked Hyperspectral Features at 710 and 800 nm for Monitoring Coastal Chlorophyll‐α Concentrations From Space

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 3, March 2026.
Abstract The concentration of chlorophyll‐α $\alpha $ has been estimated from sea color, primarily based on the reflectance ratio between the blue and green spectral bands in multiband images obtained by satellite optical sensors. However, this method is only effective in open, clear water and cannot be reliably applied to shallow coastal waters.
Satoru Yamamoto, Masaru Mizuyama, Moe Matsuoka, Ayame Ikeda, Hiroki Mizuochi, Akira Iguchi   +5 more
wiley   +1 more source

Assessment of Polymer Atmospheric Correction Algorithm for Hyperspectral Remote Sensing Imagery over Coastal Waters. [PDF]

Sensors (Basel), 2021
Soppa MA, Silva B, Steinmetz F, Keith D, Scheffler D, Bohn N, Bracher A.   +6 more
europepmc   +1 more source

Monitoring Flood Inundation Dynamics From Space

Reviews of Geophysics, Volume 64, Issue 1, March 2026.
Abstract With the increasing intensity and frequency of flood events worldwide, the need for accurate and timely inundation mapping has never been more critical. Large‐scale flood extent estimations are vital for coordinating effective disaster response, facilitating recovery, and building future resilience.
C. Campo, P. Tamagnone, S. Choy, T. D. Tran, G. J.‐P. Schumann, Y. Kuleshov   +5 more
wiley   +1 more source

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

Methods in Ecology and Evolution, Volume 17, Issue 3, Page 668-682, March 2026.
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

HyperHazeOff: Hyperspectral Remote Sensing Image Dehazing Benchmark. [PDF]

J Imaging
Nikonorov A, Sidorchuk D, Odinets N, Volkov V, Sarycheva A, Dudenko E, Zhidkov M, Nikolaev D.   +7 more
europepmc   +1 more source

Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China. [PDF]

Sci Rep, 2021
Wan YQ, Fan YH, Jin MS.
europepmc   +1 more source

Hyperspectral Remote Sensing [PDF]

, 2012
openaire   +1 more source

The Role of Autonomous Mechanical Weeding Robots in Climate‐Smart Soil Management: A Scoping Review

European Journal of Soil Science, Volume 77, Issue 2, March–April 2026.
ABSTRACT The growing demand for sustainable agricultural practices has driven advancements in digital agricultural technologies, which is also reflected in the emerging development and market release of agricultural field robots in the last decade.
Kathrin Grahmann, Lukas Thielemann, Lina Rohlmann, Adrija Roy, Cornelia Weltzien   +4 more
wiley   +1 more source