Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Rongyuan Liu"'
Autor:
Chenchen Jiang, Huazhong Ren, Zian Wang, Hui Zeng, Yuanjian Teng, Hongqin Zhang, Xixuan Liu, Dingjian Jin, Mengran Wang, Rongyuan Liu, Baozhen Wang, Jinshun Zhu
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1129 (2024)
Hyperspectral remote sensing technology is an advanced and powerful tool that enables fine identification of the numerous soil reflectance spectrum characteristics. Heavy metal(loid)s (HMs) are the primary pollutants affecting the soil biodiversity a
Externí odkaz:
https://doaj.org/article/da6d03d0c0f04b8e8dcbaa41ac344142
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3590 (2023)
As a clean energy resource, coalbed methane (CBM) is an important industry in China’s dual-carbon strategic planning. Despite the immense potential of CBM resources in China, the current exploration level remains low due to outdated survey technolo
Externí odkaz:
https://doaj.org/article/3a17a6d6fd804c3a83b0553e9cf5f1cd
Publikováno v:
Land, Vol 12, Iss 7, p 1287 (2023)
Accurately estimating land surface temperature (LST) is a critical concern in thermal infrared (TIR) remote sensing. According to the thermal radiance transfer equation, the observed data in each channel are coupled with both emissivity and atmospher
Externí odkaz:
https://doaj.org/article/1214d80d992b49e7b4f7a569106d69dc
Autor:
Huazhong Ren, Jiaji Dong, Rongyuan Liu, Yitong Zheng, Jinxin Guo, Shanshan Chen, Jing Nie, Yan Zhao
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 12, Pp 1430-1453 (2020)
Land surface temperature (LST) retrieval from thermal infrared (TIR) remote sensing image requires atmospheric and land surface emissivity (LSE) data that are sometimes unattainable. To overcome this problem, a hybrid algorithm is developed to retrie
Externí odkaz:
https://doaj.org/article/3cf7651b5c1d4cefaad6a54fe0baf8c7
Publikováno v:
Earth and Space Science, Vol 8, Iss 1, Pp n/a-n/a (2021)
Abstract The lunar surface temperature (LST) derived from thermal infrared (TIR) measurements can aid in understanding the physical properties of the lunar surface. The Diviner Lunar Radiometer Experiment (herein, Diviner) sensor provides global luna
Externí odkaz:
https://doaj.org/article/2939e63383ce4871b25a9aa7c762442d
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1350 (2021)
The ecological restoration of mining areas is very important, and repeated field surveys are inefficient in large-scale vegetation monitoring. The coal mining industry is currently facing the challenge of the lack of appropriate methods for monitorin
Externí odkaz:
https://doaj.org/article/5765e6fed8f547b2b38141354da62ac5
Autor:
Huazhong Ren, Guangjian Yan, Rongyuan Liu, Zhao-Liang Li, Qiming Qin, Françoise Nerry, Qiang Liu
Publikováno v:
Sensors, Vol 15, Iss 4, Pp 7537-7570 (2015)
Multi-angular observation of land surface thermal radiation is considered to be a promising method of performing the angular normalization of land surface temperature (LST) retrieved from remote sensing data. This paper focuses on an investigation of
Externí odkaz:
https://doaj.org/article/ca343f6c54e3477580538a01698e0b14
Publikováno v:
Remote Sensing, Vol 6, Iss 12, Pp 12776-12788 (2014)
The radiometric performance of remotely-sensed images is important for the applications of such data in monitoring land surface, ocean and atmospheric status. One requirement placed on the Thermal Infrared Sensor (TIRS) onboard Landsat 8 was that the
Externí odkaz:
https://doaj.org/article/d9a584b05595433d862a70a3a9319f06
Autor:
Yanan Chen, Hongfan Gu, Munan Wang, Qing Gu, Zhi Ding, Mingguo Ma, Rongyuan Liu, Xuguang Tang
Publikováno v:
Remote Sensing, Vol 11, Iss 16, p 1855 (2019)
Precise quantification of terrestrial gross primary production (GPP) has been recognized as one of the most important components in understanding the carbon balance between the biosphere and the atmosphere. In recent years, although many large-scale
Externí odkaz:
https://doaj.org/article/40ca22e8677d4a0e97045c5ef85628e2
Publikováno v:
Land; Volume 12; Issue 7; Pages: 1287
Accurately estimating land surface temperature (LST) is a critical concern in thermal infrared (TIR) remote sensing. According to the thermal radiance transfer equation, the observed data in each channel are coupled with both emissivity and atmospher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::cf23d6e761b01523a69621b00446bce7