Results 41 to 50 of about 3,000 (242)

Use of Nighttime Light Images in Evaluating Refugee Settlement

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, due to growing number of humanitarian disasters, international attention to refugees has increased. However, many refugee settlements are located in remote areas and there is a lack of relevant surveying data, which leads to the ...
Shiyu Wang, Xi Li
doaj   +1 more source

A Spatiotemporally Constrained Interpolation Method for Missing Pixel Values in the Suomi-NPP VIIRS Monthly Composite Images: Taking Shanghai as an Example

Remote Sensing, 2023
The Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS/DNB) nighttime light data is a powerful remote sensing data source. However, due to stray light pollution, there is a lack of VIIRS data in mid-high latitudes during the summer ...
Qingyun Liu, Junfu Fan, Jiwei Zuo, Ping Li, Yunpeng Shen, Zhoupeng Ren, Yi Zhang   +6 more
doaj   +1 more source

Remote Magnetomechanical Neuromodulation Uncovers Therapeutic Mechanisms for Alleviating Parkinsonian Symptoms in Freely Moving Mice

Advanced Science, EarlyView.
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters, Lorenzo Signorelli, Christian Herff, Sophia Gimple, Renzo Riemens, Gunter Kenis, Kim Rijkers, Hamed Shabani, Jyh‐Jang Sun, Yasin Temel, Hans Clusmann, Danijela Gregurec, Sarah‐Anna Hescham   +12 more
wiley   +1 more source

Fifty years of nightly global low-light imaging satellite observations

Frontiers in Remote Sensing, 2022
The history of satellite remote sensing of nighttime lights traces it is roots back the U.S. Air Force Defense Meteorological Satellite Program (DMSP) which began flying polar orbiting satellites with cloud imaging sensors in the 1970’s.
Christopher D. Elvidge, Kimberly Baugh, Tilottama Ghosh, Mikhail Zhizhin, Mikhail Zhizhin, Feng Chi Hsu, Tamara Sparks, Morgan Bazilian, Paul C. Sutton, Kenneth Houngbedji, Ran Goldblatt   +10 more
doaj   +1 more source

Open‐Shell Conjugated Polymers Enable Photothermoelectric Conversion and Detection of Short‐Wave Infrared Light

Advanced Science, EarlyView.
Efficient conversion and detection of short‐wave infrared (SWIR) photons are becoming increasingly important for emerging photonic and energy technologies. Here, we report an organic photothermoelectric device based on an open‐shell conjugated polymer that enables SWIR energy conversion and photon detection via the photothermoelectric effect.
Guan‐Lin Chen, Soonyong Lee, Shao‐Huan Hong, Jhih‐Min Lin, Han Young Woo, Cheng‐Liang Liu   +5 more
wiley   +1 more source

Street-Scale Analysis of Population Exposure to Light Pollution Based on Remote Sensing and Mobile Big Data—Shenzhen City as a Case

Sensors, 2020
Most studies on light pollution are based on light intensity retrieved from nighttime light (NTL) remote sensing with less consideration of the population factors.
Bo Sun, Yang Zhang, Qiming Zhou, Duo Gao
doaj   +1 more source

IMPROVING GLOBALlAND30 ARTIFICIAL TYPE EXTRACTION ACCURACY IN LOW-DENSITY RESIDENTS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
GlobalLand 30 is the first 30m resolution land cover product in the world. It covers the area within 80°N and 80°S. There are ten classes including artificial cover, water bodies, woodland, lawn, bare land, cultivated land, wetland, sea area, shrub and ...
L. Hou, L. Zhu, S. Peng, Z. Xie, X. Chen
doaj   +1 more source

Magnetic Water Cleaning of Estrogens via Tight yet Dynamic Binding to Nanoparticles

Advanced Science, EarlyView.
Micropollution is one of the big challenges humanity faces with estrogen hormones being emerging pollutants of concern. Here, a supramolecular design strategy is presented that generates a simple nano‐adsorbent material to magnetically remove low‐concentrated estrogens from water.
Lukas Müller, Philip Maier, Dustin Vivod, Wenke Müller, Nikolaj Lopatik, Theresa Maria Schichtl, Julia Fröhlich, Irene Kraus, Marten Huck, Wieland Corts, Clodomiro Cafolla, Lukas Ruhm, Henrik Gaß, Johannes Voß, Jiwon Byun, Linda Rockmann, Guido Grundmeier, Kislon Voïtchovsky, Hans‐Georg Steinrück, Erdmann Spiecker, Sevim Dalabasmaz, Monika Pischetsrieder, Eike Brunner, Ralf Schweins, Dirk Zahn, Marcus Halik   +25 more
wiley   +1 more source

Effectiveness of Semi-Supervised Learning and Multi-Source Data in Detailed Urban Landuse Mapping with a Few Labeled Samples

Remote Sensing, 2022
Detailed urban landuse information plays a fundamental role in smart city management. A sufficient sample size has been identified as a very crucial pre-request in machine learning algorithms for urban landuse classification.
Bo Sun, Yang Zhang, Qiming Zhou, Xinchang Zhang   +3 more
doaj   +1 more source

Passive Color Imaging Through Macroscopic Strong Scattering Media

Advanced Science, EarlyView.
Light reflected from distant targets is severely attenuated and scattered by dense fog. A color‐channel‐simulated, independently exposed sCMOS array (CISA), combined with a passive colorful de‐scattering pipeline (PCDP), captures and reconstructs extremely weak target signals.
Renrui Wang, Xiaoyu Wang, Jianyu Wang, Zhiyu Yang, Xiangyang Ji   +4 more
wiley   +1 more source