Research outputs per year
Research outputs per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Yaping Mo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Understanding temperature variations in mountainous regions: The relationship between satellite-derived land surface temperature and in situ near-surface air temperature
Mo, Y., Pepin, N. & Lovell, H., 1 Mar 2025, In: Remote Sensing of Environment. 318, 19 p., 114574.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Comparison of gap-filling methods for producing all-weather daily remotely sensed near-surface air temperature
Mo, Y., Xu, Y., Liu, Y., Xin, Y. & Zhu, S., 1 Oct 2023, In: Remote Sensing of Environment. 296, 20 p., 113732.Research output: Contribution to journal › Article › peer-review
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A review of reconstructing remotely sensed land surface temperature under cloudy conditions
Mo, Y., Xu, Y., Chen, H. & Zhu, S., 19 Jul 2021, In: Remote Sensing. 13, 14, 21 p., 2838.Research output: Contribution to journal › Literature review › peer-review
Open AccessFile -
Poverty mapping in the Dian-Gui-Qian contiguous extremely poor area of southwest China based on multi-source geospatial data
Xu, Y., Mo, Y. & Zhu, S., 4 Aug 2021, In: Sustainability. 13, 16, 14 p., 8717.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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Dataset 'Meta-analysis of the LST-Tair relationship in mountainous regions'
Mo, Y. (Creator), Pepin, N. (Creator) & Lovell, H. (Creator), University of Portsmouth, 18 Nov 2024
DOI: 10.17029/5ac653cf-9ba1-4624-bfc8-41add4e87ed6
Dataset
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