A self-adaptive wildfire detection algorithm by fusing physical and deep learning schemes

Autor: Shuting Jin, Tianxing Wang, Huabing Huang, Xiaopo Zheng, Tongwen Li, Zhou Guo

Publikováno v: International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103671- (2024)

Currently, the spectra-based physical models and deep learning methods are frequently used to detect wildfires from remote sensing data. However, physical algorithms mainly rely on radiative transfer processes, which limit their effectiveness in dete

Externí odkaz: https://doaj.org/article/eb3c9d23bd864b7d926dc0839671c409

Spatial Up-Scaling Correction for Leaf Area Index Based on the Fractal Theory

Autor: Ling Wu, Qiming Qin, Xiangnan Liu, Huazhong Ren, Jianhua Wang, Xiaopo Zheng, Xin Ye, Yuejun Sun

Publikováno v: Remote Sensing, Vol 8, Iss 3, p 197 (2016)

The scaling effect correction of retrieved parameters is an essential and difficult issue in analysis and application of remote sensing information. Based on fractal theory, this paper developed a scaling transfer model to correct the scaling effect

Externí odkaz: https://doaj.org/article/f67227bdf5c44cce80996a008baefb9f

Determination of global land surface temperature using data from only five selected thermal infrared channels: Method extension and accuracy assessment

Autor: Huabing Huang, Xiaopo Zheng, Françoise Nerry, Zhao-Liang Li, Tianxing Wang

Publikováno v: Remote Sensing of Environment
Remote Sensing of Environment, 2022, 268, pp.112774. ⟨10.1016/j.rse.2021.112774⟩

International audience; Land surface temperature (LST) is an essential input for modeling the processes of energy exchange and balance of the earth's surface. Thermal infrared (TIR) remote sensing is considered to be the most efficient way to obtain

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e14a865d9896529e36605deead03fe2
https://hal.archives-ouvertes.fr/hal-03418940

Impact of 3-D Structures and Their Radiation on Thermal Infrared Measurements in Urban Areas

Autor: Maofang Gao, Zhao-Liang Li, Guofei Shang, Xia Zhang, Xiaopo Zheng, Kun-Shan Chen

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, 2020, 58 (12), pp.8412-8426. ⟨10.1109/TGRS.2020.2987880⟩
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2020, 58 (12), pp.8412-8426. ⟨10.1109/TGRS.2020.2987880⟩

International audience; Land surface temperature (LST) is a key parameter for many fields of study. Currently, LST retrieved from satellite thermal infrared (TIR) measurements is attainable with an accuracy of about 1 K for most natural flat surfaces

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4159362dab9a5ff8c2339483666fe197
https://hal.science/hal-03015281

A new thermal infrared channel configuration for accurate land surface temperature retrieval from satellite data

Autor: Françoise Nerry, Xiaopo Zheng, Zhao-Liang Li, Xiaoyu Zhang

Publikováno v: Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2019, 231, pp.111216. ⟨10.1016/j.rse.2019.111216⟩
Remote Sensing of Environment, 2019, 231, pp.111216. ⟨10.1016/j.rse.2019.111216⟩

International audience; Land surface temperature (LST) is an important parameter in many research fields. Many algorithms have been developed to retrieve LST from satellite thermal infrared (TIR) measurements; of these, the most widely used are the s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21c150e73df520385fbc85f152d5bdc8
https://hal.archives-ouvertes.fr/hal-02322445