Zobrazeno 1 - 10
of 1 237
pro vyhledávání: '"sea surface temperature (sst)"'
Publikováno v:
Geology, Ecology, and Landscapes, Vol 8, Iss 2, Pp 194-207 (2024)
ABSTRACTThis study was carried out to monitor the shoreline changes and associated erosion along the coastal districts using multi-temporal Landsat digital data over the period from 1978 to 2020. The High Tide Line was delineated using Landsat Satell
Externí odkaz:
https://doaj.org/article/57faef0f094b4256b6aa56788bfbd321
Publikováno v:
In Science of the Total Environment 1 January 2025 958
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19853-19863 (2024)
Sea surface temperature (SST) is a vital oceanic parameter that significantly influences air–sea heat flux and momentum exchange. SST datasets are crucial for identifying and describing both short-term and long-term climate perturbations in the oce
Externí odkaz:
https://doaj.org/article/ba9ac650d2b9494aacb3e394b0995014
Autor:
Yukio Kurihara, Misako Kachi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19730-19742 (2024)
We developed a cross-calibration method to improve sea surface temperature (SST) retrieval from remotely sensed thermal infrared data from space. The cross-calibration method is based on a physical SST method that determines SST by solving the infrar
Externí odkaz:
https://doaj.org/article/d6e0d6b2f0dc4b3bbf541051a60ec97b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19003-19015 (2024)
Sea surface temperature (SST) plays a crucial role in the global meteorological system, particularly as long-term seasonal variations are significant for analyzing SST anomalies and supporting long-term climate decision-making. Current forecasting me
Externí odkaz:
https://doaj.org/article/18f6a1f06839498d9bdead94cec06c58
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17598-17611 (2024)
Tropical cyclones (TC) are major devastating natural disasters that lead to property destruction worth billions of dollars and threaten millions of lives. However, rapid changes in TC are the main source of the current TC forecast error. This study p
Externí odkaz:
https://doaj.org/article/ddf1ddb33e594872a19faf2f360aec3e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16289-16305 (2024)
The satellite remote sensing sea surface temperature (SST) plays a crucial role in global climate change and ocean–atmosphere interactions. With a notably severe issue of missing data due to clouds and rainfall, data reconstruction methods have bee
Externí odkaz:
https://doaj.org/article/967b0a53b27246afbab6d1ecdcc5f651
Autor:
Jinyan Xie, Zhongping Lee, Xu Li, Daosheng Wang, Caiyun Zhang, Yufang Wu, Xiaolong Yu, Zhihuang Zheng
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16306-16315 (2024)
The Landsat-8 Collection 2 provides Level-2 surface temperature product (L8-L2ST) at a spatial resolution of 30 m, catering to various applications. However, discrepancies in the spatial resolution of certain parameters involved in L8-L2ST production
Externí odkaz:
https://doaj.org/article/4fd33a2986d447388573df59b5e9ddd5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14704-14711 (2024)
Sea surface temperature (SST) prediction plays an important role in ocean-related fields. Therefore, it is increasingly important to be able to make more accurate prediction of SST. In this article, we develop a deep generative adversarial network (D
Externí odkaz:
https://doaj.org/article/3f0cf37188e24b57a1aa66d25fcb7161
Autor:
Chang Yang, Lei Guan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14237-14247 (2024)
In this study, we develop an improved algorithm for retrieving sea surface temperature (SST) from the Advanced Geosynchronous Radiation Imager (AGRI) on the Fengyun-4A satellite (FY-4A). First, we use a multichannel nonlinear SST algorithm that combi
Externí odkaz:
https://doaj.org/article/42eb96cfc0ca45238d62ab33af346ae9