27 papers · ranked by Valyu relevance
Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia + 3 more
'Liangpei Zhang' 'Feng Xu' 'Friedrich Fraundorfer'] Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields. Shall we embrace…
Fernando Pech-May, Raúl Aquino-Santos, German Rios-Toledo, Juan Pablo Francisco Posadas-Durán + 1 more
'Juan Pablo Francisco Posadas-Durán' 'Massimo Menenti'] Crops and ecosystems constantly change, and risks are derived from heavy rains, hurricanes, droughts, human activities, climate change, etc. This has caused additional damages with economic and social impacts. Natural phenomena have caused the loss of crop areas…
Siqi Lu, Junlin Guo, James Zimmer‐Dauphinee, Jordan M. Nieusma + 4 more
'Xiao Wang' 'Parker VanValkenburgh' 'Steven A. Wernke' 'Yuankai Huo'] Siqi Lu1 , Junlin Guo1 , James R Zimmer-Dauphinee2 , Jordan M Nieusma4 , Xiao Wang3 , Parker VanValkenburgh5 , Steven A Wernke2 , Yuankai Huo1,6 1Department of Electrical and Computer Engineering, Vanderbilt University, 2Department of Anthropology…
Mostafa K. Mosleh, Quazi K. Hassan, Ehsan H. Chowdhury
Rice is one of the staple foods for more than three billion people worldwide. Rice paddies accounted for approximately 11.5% of the World's arable land area during 2012. Rice provided ∼19% of the global dietary energy in recent times and its annual average consumption per capita was ∼65 kg during 2010-2011. Therefore…
Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman A. Khan + 3 more
'Salman A. Khan' 'Hisham Cholakkal' 'Gui-Song Xia' 'Fahad Shahbaz khan'] Abstract—Deep learning-based algorithms have seen a massive popularity in different areas of remote sensing image analysis over the past decade. Recently, transformers-based architectures, originally introduced in natural language processing, have…
Ritam Dutta, Bheem Dutt Joshi, Vineet Kumar, Amira Sharief + 4 more
Despite advancements in remote sensing, satellite imagery is underutilized in conservation research. Multispectral data from various sensors have great potential for mapping landscapes, but distinct spectral and spatial resolution capabilities are crucial for accurately classifying wildlife habitats. Our study aimed to…
Ivica Dimitrovski, Vlatko Spasev, Ivan Kitanovski
Observation Data Authors: ['Ivica Dimitrovski' 'Vlatko Spasev' 'Ivan Kitanovski'] Accurate semantic segmentation of remote sensing imagery is critical for various Earth observation applications, such as land cover mapping, urban planning, and environmental monitoring. However, individual data sources often present…
Xiaofei Yang, Junying Chen, Xiaohan Lu, Hao Liu + 6 more
'Xuqian Bai' 'Long Qian' 'Zhitao Zhang' 'Charles Neal Stewart Jr.' 'Georgios Koubouris'] With the advancement of precision agriculture, Unmanned Aerial Vehicle (UAV)-based remote sensing has been increasingly employed for monitoring crop water and nutrient status due to its high flexibility, fine spatial resolution…
Zichen Jin
As a high-level discipline, the development of remote sensing depends on the contribution of many other basic and applied disciplines and technologies. For example, due to the close relationship between remote sensing and photogrammetry, remote sensing would inevitably integrate disciplines such as optics and color…
Manuel Graña, Michal Wozniak, Sebastian Rios, Javier de Lope
Computational intelligence is a very active and fruitful research of artificial intelligence with a broad spectrum of applications. Remote sensing data has been a salient field of application of computational intelligence algorithms, both for the exploitation of the data and for the research/ development of new data…
Nicholas J. Murray, David A. Keith, Daniel Simpson, John H. Wilshire + 1 more
Recent assessments of progress towards global conservation targets have revealed a paucity of indicators suitable for assessing the changing state of ecosystems. Moreover, land managers and planners are often unable to gain timely access to maps they need to support their routine decision-making. This deficiency is…
Jiang Dong, Dafang Zhuang, Yaohuan Huang, Jingying Fu
With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application…
Yizhe Li, Xinqing Xiao, Ram C. Sharma
Accurate and timely land monitoring is crucial for addressing global environmental, economic, and societal challenges, including climate change, sustainable development, and disaster mitigation. While single-source remote sensing data offers significant capabilities, inherent limitations such as cloud cover…
Joaquim J. Sousa, Piero Toscano, Alessandro Matese, Salvatore Filippo Di Gennaro + 8 more
'Salvatore Filippo Di Gennaro' 'Andrea Berton' 'Matteo Gatti' 'Stefano Poni' 'Luís Pádua' 'Jonáš Hruška' 'Raul Morais' 'Emanuel Peres' 'Benoit Vozel'] Hyperspectral aerial imagery is becoming increasingly available due to both technology evolution and a somewhat affordable price tag. However, selecting a proper UAV +…
Brynn Noble, Zak Ratajczak
Woody plant encroachment (WPE)—a phenomenon similar to species invasion—is shifting many grasslands and savannas into shrub and evergreen-dominated ecosystems. Tracking WPE is difficult because shrubs and small trees are much smaller than the coarse resolution of common remote sensing platforms (> 10 m^2^) and the…
Sigfredo Fuentes, Jiyul Chang
When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and remote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent research in precision…
Firouz Abdullah Al-Wassai, N. V. Kalyankar
Several remote sensing software packages are used to the explicit purpose of analyzing and visualizing remotely sensed data, with the developing of remote sensing sensor technologies from last ten years. According to literature, the remote sensing is still the lack of software tools for effective information extraction…
Leonard Waldmann, Ando Shah, Yi Wang, Nils Lehmann + 5 more
'Zhitong Xiong' 'Xiao Xiang Zhu' 'Stefan Bauer' 'John Chuang'] Earth observation (EO) data features diverse sensing platforms with varying spectral bands, spatial resolutions, and sensing modalities. While most prior work has constrained inputs to fixed sensors, a new class of any-sensor foundation models able to…
Sergio A. Estay, Roberto O. Chávez
For ecologists, the challenge at using remote sensing tools is to convert spectral data into ecologically relevant information like abundance, productivity or traits distribution. Among these features, plant phenology is one of the most used variables in any study applying remote sensing to plant ecology and it has…
Kathleen Kanaley, David B. Combs, Angela Paul, Yu Jiang + 2 more
Grapevine downy mildew (GDM), caused by the oomycete Plasmopara viticola, can cause 100% yield loss and vine death under conducive conditions. Growers currently rely on frequent fungicide applications for control, but this practice has led to widespread resistance. Rapid remote detection and surveillance of GDM…
David H. Klinges, Jonas J. Lembrechts, Stijn Van de Vondel, Eric Greenlee + 2 more
Wireless environmental sensors have become integral tools in environmental and conservation research, offering diverse data streams that complement traditional inventory-based surveys. Despite advancements in sensor technology, the ad-hoc nature of site selection for sensor deployment often limits the potential of…
Justus T. Metternich, Sujit K. Patjoshi, Tanuja Kistwal, Sebastian Kruss
Optical sensors/probes are powerful tools to identify and image (biological) molecules. Because of their optoelectronic properties, nanomaterials are often used as building blocks. Such nanosensors are assembled from an optically sensitive nanomaterial, a (biological) recognition unit, and linker chemistry that…
Jordan Dotson, Eric Anslyn, Matthew Sigman
Dynamic covalent chemistry-based sensors have recently emerged as powerful tools to rapidly determine the enantiomeric excess of organic small molecules. While a bevy of sensors have been developed, those for flexible molecules with stereocenters remote to the functional group that binds the chiroptical sensor remain…
Matthias Grotevent, Claudio U. Hail, Sergii Yakunin, Dominik Bachmann + 6 more
Colloidal PbS quantum dot (QD)/graphene hybrid photodetectors are emerging QD technologies for affordable infra-red light detectors. By interfacing the QDs with graphene, the photosignal of these detectors is amplified, leading to high responsivity values. While these detectors have been mainly operated at room…
Richard Murray, Arbresha Muriqi, Cathal Larrigy, Alida Russo + 4 more
Volatile organic compounds (VOCs) are a common risk to human health in industrial and domestic settings. VOCs are often present at concentrations that cannot be detected through human odor perception. VOC sensors are, therefore, urgently needed for home and workplace environmental monitoring, including wearable sensors…
Ferry Anggoro Ardy Nugroho, Ping Bai, Iwan Darmadi, Gabriel W. Castellanos + 4 more
Plasmonic sensors rely on optical resonances in metal nanoparticles and are typically limited by their broad spectral features. This constraint is particularly taxing for optical H2 sensors, in which hydrogen is absorbed inside optically-lossy Pd nanoparticles and for which state-of-the-art detection limits are only at…
Authors not listed
Spatiotemporal control of molecular release is essential for the precise manipulation of cellular functions, and photo-stimulation is one of the most widely used strategies to achieve this control. However, direct light exposure can cause cell damage due to the generation of reactive oxygen species and photothermal…