Remote Sensing Applications to Climate Change-Reference-Cited by-同舟云学术

Remote Sensing Applications to Climate Change

Published:2023-01-28 Issue:3 Volume:15 Page:747
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Wang Xander¹²^ORCID

Affiliation:

1. Canadian Centre for Climate Change and Adaptation, University of Prince Edward Island, St. Peter’s Bay, PE C0A 2A0, Canada

2. School of Climate Change and Adaptation, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada

Abstract

Climate change research remains a challenging task, as it requires vast quantities of long-term data to investigate the past, present, and future scenarios of Earth’s climate system and other biophysical systems at global to local scales [...]

Funder

Natural Science and Engineering Research Council of Canad

New Frontiers in Research Fund

Government of Prince Edward Island

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

https://www.mdpi.com/2072-4292/15/3/747/pdf

Reference16 articles.

1. Meftah, M., Boutéraon, T., Dufour, C., Hauchecorne, A., Keckhut, P., Finance, A., Bekki, S., Abbaki, S., Bertran, E., and Damé, L. (2021). The UVSQ-SAT/INSPIRESat-5 CubeSat Mission: First In-Orbit Measurements of the Earth’s Outgoing Radiation. Remote Sens., 13.

2. Basheer, S., Wang, X., Farooque, A.A., Nawaz, R.A., Liu, K., Adekanmbi, T., and Liu, S. (2022). Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques. Remote Sens., 14.

3. Yan, Y., Wang, H., Li, G., Xia, J., Ge, F., Zeng, Q., Ren, X., and Tan, L. (2022). Projection of Future Extreme Precipitation in China Based on the CMIP6 from a Machine Learning Perspective. Remote Sens., 14.

4. Gnitou, G.T., Tan, G., Hongming, Y., Nooni, I.K., and Lim Kam Sian, K.T.C. (2022). Resolution-Sensitive Added Value Analysis of CORDEX-CORE RegCM4-7 Past Seasonal Precipitation Simulations over Africa Using Satellite-Based Observational Products. Remote Sens., 14.

5. Zhou, X., Huang, G., Li, Y., Lin, Q., Yan, D., and He, X. (2021). Dynamical Downscaling of Temperature Variations over the Canadian Prairie Provinces under Climate Change. Remote Sens., 13.

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