当前位置：
X-MOL 学术
›
GISci. Remote Sens.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Comprehensive assessment of Spatiotemporal fusion methods in inland water monitoring
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-04-19 , DOI: 10.1080/15481603.2024.2343200 Qiang Xu 1, 2 , Yulong Guo 1, 2 , Weiqiang Chen 1, 2 , Guangxing Ji 1, 2 , Lingfei Shi 1, 2 , Yuan Li 3 , Zhubin Zheng 4 , Chengzhi Sun 1, 2 , Huimin Zhu 1
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-04-19 , DOI: 10.1080/15481603.2024.2343200 Qiang Xu 1, 2 , Yulong Guo 1, 2 , Weiqiang Chen 1, 2 , Guangxing Ji 1, 2 , Lingfei Shi 1, 2 , Yuan Li 3 , Zhubin Zheng 4 , Chengzhi Sun 1, 2 , Huimin Zhu 1
Affiliation
Monitoring rapidly changing inland water bodies using remote sensing requires a temporal resolution of at least 3 days and a spatial resolution of at least 30 meters. However, the current satellite...
中文翻译：
内陆水域监测时空融合方法综合评价
利用遥感监测快速变化的内陆水体需要至少3天的时间分辨率和至少30米的空间分辨率。然而，目前的卫星...
更新日期：2024-04-20
中文翻译：
内陆水域监测时空融合方法综合评价
利用遥感监测快速变化的内陆水体需要至少3天的时间分辨率和至少30米的空间分辨率。然而，目前的卫星...
京公网安备 11010802027423号