Remote Sensing of Night-Time Light
Satellite measurements of night-time lights are widely recognized as a valuable indicator of human activity on Earth. These measurements capture the amount of light emitted from Earth at night and provide significant insights into a range of fields, including urbanization processes, socio-economic d...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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072 | 7 | |a GP |2 bicssc | |
100 | 1 | |a Goldblatt, Ran |4 edt | |
700 | 1 | |a Rubinyi, Steven Louis |4 edt | |
700 | 1 | |a Park, Hogeun |4 edt | |
700 | 1 | |a Goldblatt, Ran |4 oth | |
700 | 1 | |a Rubinyi, Steven Louis |4 oth | |
700 | 1 | |a Park, Hogeun |4 oth | |
245 | 1 | 0 | |a Remote Sensing of Night-Time Light |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 electronic resource (350 p.) | ||
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506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a Satellite measurements of night-time lights are widely recognized as a valuable indicator of human activity on Earth. These measurements capture the amount of light emitted from Earth at night and provide significant insights into a range of fields, including urbanization processes, socio-economic dynamics, local and regional GDP, economic impacts of conflicts, effects of epidemics on economic activity, and the various impacts of natural and man-made disasters. This reprint includes 16 articles that were published in the Remote Sensing Special Issue "Remote Sensing of Night-Time Light" and that highlight novel research on the remote sensing of night-time lights. The reprint aims to stimulate progress in the remote sensing research domain related to the utilization of night-time lights in a wide range of multidisciplinary and interdisciplinary domains, including urban studies, ecology, economics, oceanography, sociology, epidemiology, and more. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Research & information: general |2 bicssc | |
653 | |a VIIRS | ||
653 | |a Day-night band (DNB) | ||
653 | |a Nighttime lights | ||
653 | |a COVID-19 | ||
653 | |a Pandemic | ||
653 | |a earth observation data | ||
653 | |a nitrogen dioxide (NO2) | ||
653 | |a night light imagery (VIIRS) | ||
653 | |a mobility | ||
653 | |a environmental impacts | ||
653 | |a night-time lights | ||
653 | |a pandemic | ||
653 | |a protected areas | ||
653 | |a wildlife tourism | ||
653 | |a night-time light remote sensing | ||
653 | |a ethnic minorities | ||
653 | |a core ethnic minority areas | ||
653 | |a development index | ||
653 | |a toponym data | ||
653 | |a VIIRS/DNB | ||
653 | |a nighttime lights | ||
653 | |a shipping | ||
653 | |a spatial analysis | ||
653 | |a anchorage area | ||
653 | |a GDP | ||
653 | |a nonlinearity | ||
653 | |a panel data | ||
653 | |a MAUP | ||
653 | |a aggregation | ||
653 | |a DNB | ||
653 | |a flicker | ||
653 | |a artificial lighting | ||
653 | |a county urbanization | ||
653 | |a population urbanization | ||
653 | |a land urbanization | ||
653 | |a economic urbanization | ||
653 | |a comprehensive urbanization | ||
653 | |a China | ||
653 | |a Suomi NPP VIIRS | ||
653 | |a recalibrated/reprocessed historical radiance data | ||
653 | |a CNN/SI | ||
653 | |a urban night light long-term time series | ||
653 | |a urban growth | ||
653 | |a aerosols | ||
653 | |a night-time light data | ||
653 | |a extraction of urban areas | ||
653 | |a rank-size rule | ||
653 | |a law of primate city | ||
653 | |a DMSP-OLS | ||
653 | |a data fusion | ||
653 | |a urbanization processes | ||
653 | |a insect decline | ||
653 | |a artificial light at night | ||
653 | |a nighttime light remote sensing | ||
653 | |a road lighting quality measurements | ||
653 | |a JL1-3B | ||
653 | |a Nanjing | ||
653 | |a CO2 emission | ||
653 | |a integration of two nighttime light datasets | ||
653 | |a spatial-temporal dynamics | ||
653 | |a STIRPAT | ||
653 | |a policy | ||
653 | |a Tibetan plateau | ||
653 | |a light pollution | ||
653 | |a urbanization | ||
653 | |a highway | ||
653 | |a railway | ||
653 | |a biodiversity | ||
653 | |a landscape sustainability | ||
653 | |a carbon emission | ||
653 | |a energy conservation | ||
653 | |a genetic algorithm | ||
653 | |a nighttime light data | ||
653 | |a urban agglomerations | ||
653 | |a remote sensing | ||
653 | |a snow extent | ||
653 | |a nighttime | ||
653 | |a moonlight | ||
653 | |a thresholding | ||
653 | |a land cover | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7093 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/100000 |7 0 |z DOAB: description of the publication |