Remote Sensing Application for Environmental Monitoring

Dear Colleagues,

Understanding the Earth’s systems is mandatory to predict its future and to provide decision-making organizations with the required information to take action when necessary. The World Meteorological Organization has defined Essential Climate Variables (ESV); these are physical, biological and chemical quantities that are critical for characterizing the Earth’s climate and for environmental monitoring. We focus here on the Land ESV and the corresponding phenomena they are linked to. The estimation of the Land ESV from remote sensors has been progressing dramatically in recent years. Nowadays , several algorithms are available to estimate surface temperature, air temperature, soil moisture, surface reflectance and albedo, wind speed, soil carbon and other variables from remote sensors at different time and spatial resolutions. This Special Issue aims to improve our knowledge on the estimation of the Land ESV and the phenomena they are linked to, using remote sensing data. Manuscripts must include data acquired by remote sensing platforms (UAV, airborne or spaceborne). Potential topics include:

• New algorithms for the estimation of Land ESV from remote sensors.
• Scaling from in situ to remote sensing data.
• Ingestion of environmental quantities from remote sensors in theoretical models.
• Land cover change detection and land cover time series.
• Glaciers mass balance estimation from remote sensing data.
• Evolution of polar ice sheets and ice shelves.
• Thermal state of permafrost and permafrost active layer.
• Surface energy balance for land .
• Soil carbon distribution maps.

Dr. Javier Fernández Calleja
Prof. Dr. Susana del Carmen Fernández Menedez
Dr. José González-Piqueras
Guest Editors

Manuscript Submission Information

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