Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Liqiao Tian"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTArtemia has high commercial and ecological value, but few studies have considered the spectral, spatial and temporal requirements of Artemia multisatellite observations. Adopting Landsat-8 OLI and Sentinel-2 MSI as examples, we mainly analyze
Externí odkaz:
https://doaj.org/article/db4faa45f1fc4c48b4e877668ef0184e
Autor:
Jinghu Li, Qianguo Xing, Liqiao Tian, Yingzhuo Hou, Xiangyang Zheng, Maham Arif, Lin Li, Shanshan Jiang, Jiannan Cai, Jun Chen, Yingcheng Lu, Dingfeng Yu, Jindong Xu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19864-19883 (2024)
Red–green–blue (RGB) images (or videos) captured by consumer-level uncrewedaerial vehicle (UAV) cameras are widely used in high-resolution remote observations. However, digital number (DN) values of these RGB images usually have a nonlinear relat
Externí odkaz:
https://doaj.org/article/1996852b2e81499eb028c332e468851b
Publikováno v:
Geo-spatial Information Science, Vol 26, Iss 3, Pp 321-332 (2023)
ABSTRACTThe Chinese Ocean Color and Temperature Scanner (COCTS) on-board the Chinese second ocean color satellite, HY-1B, obtained approximately 6 years of data between 2007 and 2013 in China coastal seas and the adjacent waters. However, its radiome
Externí odkaz:
https://doaj.org/article/96310749b1d144b0a9ddf59630b3e886
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 1567-1587 (2022)
Water color is a crucial optical indicator of water quality, polluted water bodies often show water color anomalies. To comprehensively understand the occurrence of water color anomalies in inland lakes, an integrated method was designed using the hu
Externí odkaz:
https://doaj.org/article/460b49eccd5b4e5d944c506c05cf6671
Autor:
Jilin Men, Jianqiang Liu, Guangping Xia, Tong Yue, Ruqing Tong, Liqiao Tian, Kohei Arai, Linyu Wang
Publikováno v:
Geo-spatial Information Science, Vol 0, Iss 0, Pp 1-13 (2022)
With a spatial resolution of 50 m, a revisit time of three days, and a swath of 950 km, the coastal zone imager (CZI) offers great potential in monitoring coastal zone dynamics. Accurate atmospheric correction (AC) is needed to exploit the potential
Externí odkaz:
https://doaj.org/article/5d54f26435c74ec1b689be5a279763c4
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 4, Pp 443-463 (2021)
During the COVID-19 epidemic in Wuhan, China, a series of measures were implemented by the government to prevent the spread of disease, including the lockdown policy and construction of emergency hospitals. To estimate the impact of these measures on
Externí odkaz:
https://doaj.org/article/9ca32631162d4adab82cf2222d50f5a5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1693-1704 (2021)
The remote sensing monitoring of coastal waters with dramatic changes requires images with high spatial and temporal resolutions and adequate spectral bands. However, a single sensor is limited to meet these requirements. Image fusion is, therefore,
Externí odkaz:
https://doaj.org/article/8658738010cc4e6992b7e3916ff6d68f
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 3003 (2020)
Cloud-cover information is important for a wide range of scientific studies, such as the studies on water supply, climate change, earth energy budget, etc. In remote sensing, correct detection of clouds plays a crucial role in deriving the physical p
Externí odkaz:
https://doaj.org/article/04b47b35aa244e99895f48240913e5ee
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 1945 (2020)
Satellite-based ocean color sensors have provided an unprecedentedly large amount of information on ocean, coastal and inland waters at varied spatial and temporal scales. However, observations are often adversely affected by cloud coverage and other
Externí odkaz:
https://doaj.org/article/a62faf2f27f54b26a257b6e3685a3ab7
Publikováno v:
Sensors, Vol 20, Iss 8, p 2183 (2020)
Integrated and intelligent in situ observations are important for the remote sensing monitoring of dynamic water environments. To meet the field investigation requirements of ocean color remote sensing, we developed a water color remote sensing-orien
Externí odkaz:
https://doaj.org/article/11ad7b1780ac4407bdbe0c74935c6e9e