Results 41 to 50 of about 2,212,969 (308)

Unlocking the Potential of Remote Sensing in Wind Erosion Studies: A Review and Outlook for Future Directions

open access: yesRemote Sensing, 2023
Remote sensing (RS) has revolutionized field data collection processes and provided timely and spatially consistent acquisition of data on the terrestrial landscape properties.
Lenka Lackoóvá   +6 more
doaj   +1 more source

Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

open access: yesGeospatial Health, 2022
Leptospirosis is a serious public health problem in Brazil, which can be observed after flooding events. Using an exploratory mixed clustering method, this ecological study analyzes whether spatial-temporal clustering patterns of leptospirosis occur in ...
Alice Nardoni Marteli   +4 more
doaj   +1 more source

Hypergraph-Enhanced Textual-Visual Matching Network for Cross-Modal Remote Sensing Image Retrieval via Dynamic Hypergraph Learning

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Cross-modal remote sensing (RS) image retrieval aims to retrieve RS images using other modalities (e.g., text) and vice versa. The relationship between objects in the RS image is complex, i.e., the distribution of multiple types of objects is uneven ...
Fanglong Yao   +6 more
doaj   +1 more source

RS-DeepSuperLearner: fusion of CNN ensemble for remote sensing scene classification

open access: yesAnnals of GIS, 2023
ABSTRACTScene classification is an important problem in remote sensing (RS) and has attracted a lot of research in the past decade. Nowadays, most proposed methods are based on deep convolutional neural network (CNN) models, and many pretrained CNN models have been investigated.
openaire   +2 more sources

RS-DARTS: A Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification [PDF]

open access: yesRemote Sensing, 2021
Due to the superiority of convolutional neural networks, many deep learning methods have been used in image classification. The enormous difference between natural images and remote sensing images makes it difficult to directly utilize or modify existing CNN models for remote sensing scene classification tasks.
Zhang, Zhen   +3 more
openaire   +2 more sources

Remote Sensing and Geoscience Information Systems Applied to Groundwater Research

open access: yes, 2021
As computer and space technologies have developed, geoscience information systems (GIS) and remote sensing (RS) techniques have also been rapidly growing [...
Hyung-Sup Jung, Saro Lee
core   +1 more source

Mapping Asbestos-Cement Roofing with Hyperspectral Remote Sensing over a Large Mountain Region of the Italian Western Alps

open access: yesSensors, 2014
The World Health Organization estimates that 100 thousand people in the world die every year from asbestos-related cancers and more than 300 thousand European citizens are expected to die from asbestos-related mesothelioma by 2030.
Federico Frassy   +8 more
doaj   +1 more source

An Environmental Stable Ionogel-Based Smart Glove System for Integrated Underwater Communication and Safety Warning. [PDF]

open access: yesAdv Sci (Weinh)
This study develops a smart glove by integrating a P(BZMA‐co‐HEA)/IL ionogel with a reconfigurable FPCB for underwater communication and real‐time safety warning. The network‐constrained ionic soft‐space regulation strategy enables mechanical reliability, environmental stability, and sensing adaptability, while the modular FPCB sensor array simplifies ...
Li X   +8 more
europepmc   +2 more sources

SIOS’s Earth Observation (EO), Remote Sensing (RS), and Operational Activities in Response to COVID-19 [PDF]

open access: yesRemote Sensing, 2021
Svalbard Integrated Arctic Earth Observing System (SIOS) is an international partnership of research institutions studying the environment and climate in and around Svalbard. SIOS is developing an efficient observing system, where researchers share technology, experience, and data, work together to close knowledge gaps, and decrease the environmental ...
Shridhar D. Jawak   +31 more
openaire   +13 more sources

Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing [PDF]

open access: yes, 2014
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei   +6 more
core   +3 more sources

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