Search Results - "Remote sensing"

Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics by Lausch, Angela, Erasmi, Stefan, King, Douglas, Magdon, Paul, Heurich, Marco

“… In rapidly changing environments, in-situ terrestrial FES monitoring approaches have made tremendous progress but they are intensive and often integrate subjective indicators for forest health (FH). Remote sensing (RS…”
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Surface soil moisture retrievals from remote sensing: Current status, products & future trends by Petropoulos, George P., Ireland, Gareth, Barrett, Brian

“…•Reliable estimates of soil moisture content are of great importance for a wide range of disciplines.•Different approaches for space-based estimation of soil…”
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Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour by Gale, Matthew G., Cary, Geoffrey J., Van Dijk, Albert I.J.M., Yebra, Marta

“… Remote sensing may offer distinct advantages for this in comparison to traditional site-based approaches…”
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Remote Sensing for Geology and Mapping

“…Remote sensing science and technology is a strategic emerging interdisciplinary discipline developed on the foundations of Earth science, traditional physics, and modern high technology…”
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Ultraviolet photoacoustic remote sensing microscopy by Haven, Nathaniel J M, Bell, Kevan L, Kedarisetti, Pradyumna, Lewis, John D, Zemp, Roger J

“… In this Letter, we present ultraviolet photoacoustic remote sensing microscopy, capable of imaging cell nuclei without the need for exogenous stains or labelling…”
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Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review by Angelopoulou, Theodora, Tziolas, Nikolaos, Balafoutis, Athanasios, Zalidis, George, Bochtis, Dionysis

“…Towards the need for sustainable development, remote sensing (RS) techniques in the Visible-Near Infrared–Shortwave Infrared (VNIR–SWIR, 400–2500 nm…”
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Artificial Intelligence for Ocean Remote Sensing

“… Concurrently, propelled by the continuous development of remote sensing techniques over recent decades, ocean observation has entered the big data era…”
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Application of Remote Sensing Approaches in Geohazard Risk

“…This Special Issue, entitled "Application of Remote Sensing Approaches in Geohazard Risk…”
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Modeling and Remote Sensing of Forests Ecosystem

“… This reprint delves into advancements in time series monitoring of forests, particularly through remote sensing technologies such as optical, synthetic aperture radar (SAR…”
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Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area by Mohajane, Meriame, Costache, Romulus, Karimi, Firoozeh, Bao Pham, Quoc, Essahlaoui, Ali, Nguyen, Hoang, Laneve, Giovanni, Oudija, Fatiha

“… Forest fire disaster is currently the subject of intense research worldwide. The development of accurate strategies to prevent potential impacts and minimize…”
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On the Radiative Properties of Ice Clouds：Light Scattering, Remote Sensing,and Radiation Parameterization by Yang, Ping, Liou, Kuo-Nan, Bi, Lei, Liu, Chao, Yi, Bingqi, Baum, Bryan A.

“…： light scattering simulations, remote sensing applications, and broadband radiation parameterizations appropriate for numerical models…”
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Remote Sensing of Heart Rate and Patterns of Respiration on a Stationary Subject Using 94-GHz Millimeter-Wave Interferometry by Mikhelson, Ilya V., Bakhtiari, Sasan, Elmer, II, Thomas W., Sahakian, Alan V.

“…Using continuous wave, 94-GHz millimeter-wave interferometry, a signal representing chest wall motion can be obtained that contains both the heart rate and respiration patterns of a human subject…”
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SceneNet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search by Ma, Ailong, Wan, Yuting, Zhong, Yanfei, Wang, Junjue, Zhang, Liangpei

“…The scene classification approaches using deep learning have been the subject of much attention for remote sensing imagery…”
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Using remote sensing to characterize riparian vegetation: A review of available tools and perspectives for managers by Huylenbroeck, Leo, Laslier, Marianne, Dufour, Simon, Georges, Blandine, Lejeune, Philippe, Michez, Adrien

“… Remote sensing has the potential to improve knowledge and management of riparian vegetation by providing cost-effective and spatially continuous data over wide extents…”
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A Review of Remote Sensing of Submerged Aquatic Vegetation for Non-Specialists by Rowan, Gillian S. L., Kalacska, Margaret

“…Submerged aquatic vegetation (SAV) is a critical component of aquatic ecosystems. It is however understudied and rapidly changing due to global climate change and anthropogenic disturbances. Remote sensing (RS…”
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Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network by Yi, Yaning, Zhang, Zhijie, Zhang, Wanchang, Zhang, Chuanrong, Li, Weidong, Zhao, Tian

“…Urban building segmentation is a prevalent research domain for very high resolution (VHR) remote sensing…”
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Assessing the Feasibility of Using Remote Sensing Data and Vegetation Indices in the Estimation of Land Subject to Consolidation by Kocur-Bera, Katarzyna, Małek, Anna

“…The values of vegetation indices can provide a new source of data for use in the estimation of land to be consolidated. The results of research work carried…”
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Microwave Remote Sensing of Soil Moisture

“…This reprint focuses on the most advanced theories, models, algorithms, and products related to microwave remote sensing of soil moisture…”
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Remote sensing for shallow bathymetry: A systematic review by He, Jinchen, Zhang, Shuhang, Cui, Xiaodong, Feng, Wei

“…Shallow bathymetric mapping is important for navigation safety and geomorphologic, hydrologic and oceanographic research. However, field measurements and…”
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Global remote sensing research trends during 1991–2010: a bibliometric analysis by Zhuang, Yanhua, Liu, Xingjian, Nguyen, Thuminh, He, Qingqing, Hong, Song

“… Remote sensing research went up significantly in the past two decades. Imaging science & photographic technology was the important subject category…”
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