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浏览/检索结果: 共81条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Photoperiod and temperature interactions drive the latitudinal distribution of Laminaria hyperborea (Laminariales, Phaeophyceae) under climate change 期刊论文  OAI收割 JOURNAL OF PHYCOLOGY, 2024, 页码: 19 作者:  Diehl, Nora;  Laeseke, Philipp;  Bartsch, Inka;  Bligh, Margot;  Buck-Wiese, Hagen   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/12/20 Arctic  F-v/F-m  kelp  laminarin  mannitol  phlorotannins  pigments  polar day  polar night  species distribution model   NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures 期刊论文  OAI收割 IEEE Journal of Selected Topics in Signal Processing, 2024, 卷号: Early Access, 页码: 1-13 作者:  Liu Bingxi;  Fu Yujie;  Lu Feng;  Cui Jinqiang;  Wu Yihong   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/06/20 Visual Place Recognition  Robotic Vision  Image- to-Image Translation  Night Computer Vision   Evaluation of economic inequality in 'the Belt and Road' region - The application of night-time satellite imagery 期刊论文  OAI收割 WORLD ECONOMY, 2024, 页码: 21 作者:  Yang, Zhen;  Zhang, Lu;  Liu, Chengkun;  Chen, Yu;  Wu, Rongwei   |  收藏  |  浏览/下载：48/0  |  提交时间：2024/05/06 economic growth  economic inequality  night-time satellite imagery  'the Belt and Road'   Enhancing phenology modeling through the integration of artificial light at night effects 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 303, 页码: 113997 作者:  Xia, Haoming;  Qiao, Longxin;  Guo, Yan;  Ru, Xutong;  Qin, Yaochen   |  收藏  |  浏览/下载：31/0  |  提交时间：2024/03/11 Artificial light at night  Climate change  Day length  Phenology  Urbanization   Dynamic assessment of the COVID-19 lockdown in the Xinjiang region using night-time light remote sensing 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 卷号: 17, 期号: 1, 页码: 2300731 作者:  Jiang, Luguang;  Liu, Ye   |  收藏  |  浏览/下载：32/0  |  提交时间：2024/02/05 Xinjiang region  COVID-19 lockdown  night-time light remote sensing  spatiotemporal changes  comparative analysis  human activity intensity   Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA's Black Marble 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2023, 卷号: 12, 期号: 10, 页码: 408 作者:  Zhu, Jie;  Lang, Ziqi;  Wang, Shu;  Zhu, Mengyao;  Na, Jiaming   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/01/04 urban fringe  night-time light data  dual spatial clustering  Nanjing city   Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA's Black Marble 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2023, 卷号: 12, 期号: 10, 页码: 22 作者:  Zhu, Jie;  Lang, Ziqi;  Wang, Shu;  Zhu, Mengyao;  Na, Jiaming   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/12/07 urban fringe  night-time light data  dual spatial clustering  Nanjing city   Spatiotemporal Gravitational Evolution of the Night Land Surface Temperature: An Empirical Study Based on Night Lights 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 17, 页码: 17 作者:  Fan, Qiang;  Shi, Yue;  Mutale, Bwalya;  Cong, Nan   |  收藏  |  浏览/下载：67/0  |  提交时间：2023/10/09 land surface temperature  night lighting  gravity model  evolution law  Henan Province   Geospatial modelling of post-cyclone Shaheen recovery using nighttime light data and MGWR 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2023, 卷号: 93, 页码: 19 作者:     |  收藏  |  浏览/下载：11/0  |  提交时间：2023/10/09 Post-Shaheen cyclone recovery  GIS  MGWR  Night time light NTL Data  Community resilience   Local Climate Zone Classification by Seasonal and Diurnal Satellite Observations: An Integration of Daytime Thermal Infrared Multispectral Imageries and High-Resolution Night-Time Light Data 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 10, 页码: 32 作者:  Wang, Ziyu;  Cao, Shisong;  Du, Mingyi;  Song, Wen;  Quan, Jinling   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/10/09 local climate zone  multispectral instrument  synthetic aperture radar  night-time light  random forest classifiers