A METHOD FOR ESTIMATING 1 KM ALL-WEATHER HOURLY LAND SURFACE TEMPERATURE

被引：0
|
作者：
Yan, Jianan [1 ,2 ]
Chen, Hong [3 ]
Wu, Hua [1 ,2 ]
Wang, Ning [4 ]
Ma, Lingling [4 ]
机构：
[1] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] China Aero Geophys Survey & Remote Sensing Ctr Na, Beijing 100083, Peoples R China
[4] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Quantitat Remote Sensing Informat Technol, Beijing 100094, Peoples R China
来源：
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年
基金：
国家重点研发计划; 中国国家自然科学基金;
关键词：
all weather; annual temperature cycle; land surface temperature; DIURNAL CYCLE;
D O I：
10.1109/IGARSS46834.2022.9884511
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Land Surface Temperature (LST) is one of the important parameters in thermal environment monitoring. Satellite thermal remote sensing is the major way to obtain spatial-temporal information of LST. However, limited by the cloud contamination and the trade-off between spatial and temporal resolution, current temperature products are difficult to provide all- weather LST. In this paper, a method is proposed to obtain all-weather hourly LST. It consists of two main steps: 1) reconstruction of LST under cloudy-sky by using enhanced annual temperature cycle (ATCE) model and 2) establishment of relationship between LST and air temperature which is used for the acquisition of hourly LST. In the end, the performance of the method is analyzed through the artificial data which is created by masking the origin images. And the results show that the proposed method is valuable for generating all-weather hourly LST.
引用
收藏
页码：3664 / 3667
页数：4
相关论文
共 50 条
  • [1] Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days
    Yoo, Cheolhee
    Im, Jungho
    Cho, Dongjin
    Yokoya, Naoto
    Xia, Junshi
    Bechtel, Benjamin
    REMOTE SENSING, 2020, 12 (09)
  • [2] ESTIMATION OF 1-KM ALL-WEATHER LAND SURFACE TEMPERATURE OVER THE TIBETAN PLATEAU
    Zhang, Xiaodong
    Zhou, Ji
    Dong, Weichen
    Song, Lisheng
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 3430 - 3433
  • [3] A Physical-Based Framework for Estimating the Hourly All-Weather Land Surface Temperature by Synchronizing Geostationary Satellite Observations and Land Surface Model Simulations
    Zhou, Shugui
    Cheng, Jie
    Shi, Jiancheng
    IEEE Transactions on Geoscience and Remote Sensing, 2022, 60
  • [4] A Physical-Based Framework for Estimating the Hourly All-Weather Land Surface Temperature by Synchronizing Geostationary Satellite Observations and Land Surface Model Simulations
    Zhou, Shugui
    Cheng, Jie
    Shi, Jiancheng
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [5] Estimating Hourly All-Weather Land Surface Temperature From FY-4A/AGRI Imagery Using the Surface Energy Balance Theory
    Liu, Weihan
    Cheng, Jie
    Wang, Qiao
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [6] A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations
    Zhang, Xiaodong
    Zhou, Ji
    Goettsche, Frank-Michael
    Zhan, Wenfeng
    Liu, Shaomin
    Cao, Ruyin
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (07): : 4670 - 4691
  • [7] A framework for reconstructing 1km all-weather hourly LST from MODIS data
    Yan, Jianan
    Ni, Li
    Li, Xiujuan
    Cheng, Yuanliang
    Wu, Hua
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 45 (19-20) : 7654 - 7677
  • [8] Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition
    Adeniran, Ibrahim Ademola
    Nazeer, Majid
    Wong, Man Sing
    Zhu, Rui
    Yang, Jinxin
    Chan, Pak-Wai
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 131
  • [9] A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature
    Zhang, Xiaodong
    Zhou, Ji
    Liang, Shunlin
    Wang, Dongdong
    REMOTE SENSING OF ENVIRONMENT, 2021, 260
  • [10] An Annual Temperature Cycle Feature Constrained Method for Generating MODIS Daytime All-Weather Land Surface Temperature
    Yang, Yujia
    Zhao, Wei
    Yang, Yanqing
    Xu, Mengjiao
    Mukhtar, Hamza
    Tauqir, Ghania
    Tarolli, Paolo
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62 : 1 - 14
12345