Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Qin D"'
Autor:
Qin Dai, Hong Chen, Chenfeng Cui, Jie Li, Jun Sun, Yuxin Ma, Xuelian Peng, Yakun Wang, Xiaotao Hu
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 8 (2023)
As the main expenditure item in water balance, evapotranspiration has an important impact on the surface ecosystem. Assessing the impact of changes in meteorological elements on evapotranspiration is essential to identify the spatiotemporal heterogen
Externí odkaz:
https://doaj.org/article/22c6130eb2de44999e32f0f8e8d3c47e
Autor:
Qin Ding, Yueji Liang, Xingyong Liang, Chao Ren, Hongbo Yan, Yintao Liu, Yan Zhang, Xianjian Lu, Jianmin Lai, Xinmiao Hu
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3218 (2023)
Global Navigation Satellite System interferometric reflectometry (GNSS-IR), as a new remote sensing detection technology, can retrieve surface soil moisture (SM) by separating the modulation terms from the effective signal-to-noise ratio (SNR) data.
Externí odkaz:
https://doaj.org/article/0c909a7b3fbb4082806e12b050619dca
Autor:
Haopeng Zhang, Qin Deng
Publikováno v:
Remote Sensing, Vol 11, Iss 9, p 1117 (2019)
The frequent hazy weather with air pollution in North China has aroused wide attention in the past few years. One of the most important pollution resource is the anthropogenic emission by fossil-fuel power plants. To relieve the pollution and assist
Externí odkaz:
https://doaj.org/article/3331f3ca770144f29319e303741c0af6
Publikováno v:
Remote Sensing, Vol 8, Iss 9, p 759 (2016)
Remote sensing (RS) images play a significant role in disaster emergency response. Web2.0 changes the way data are created, making it possible for the public to participate in scientific issues. In this paper, an experiment is designed to evaluate th
Externí odkaz:
https://doaj.org/article/e19f36f07d7746b0bcf27d6cbee9b290