scholarly journals Special Issue: Remote Sensing Applications for Investigations of Fire Regime Attributes

Fire Ecology ◽  
2007 ◽  
Vol 3 (1) ◽  
pp. 1-2 ◽  
Author(s):  
Andrew T. Hudak ◽  
Andrea E. Thode ◽  
Jan W. van Wagtendonk
2020 ◽  
Vol 8 (6) ◽  
pp. 391 ◽  
Author(s):  
Luis Pedro Almeida ◽  
Rafael Almar

In this Special Issue “Application of Remote Sensing Methods to Monitor Coastal Zones” nine original research papers were published, with topics covering a wide range of ranging of remote sensing applications including coastal topography, bathymetry, land cover, and nearshore hydrodynamics [...]


2021 ◽  
Vol 13 (23) ◽  
pp. 4734
Author(s):  
Paweł Terefenko ◽  
Jacek Lubczonek ◽  
Dominik Paprotny

Coastal regions are susceptible to rapid changes as they constitute the boundary between the land and the sea [...]


2018 ◽  
Vol 10 (12) ◽  
pp. 1955 ◽  
Author(s):  
Yeqiao Wang ◽  
Hervé Yésou

Monitoring of changing lake and wetland environments has long been among the primary focus of scientific investigation, technology innovation, management practice, and decision-making analysis. Floodpath lakes and wetlands are the lakes and associated wetlands affected by seasonal variations of water level and water surface area. Floodpath lakes and wetlands are, in particular, sensitive to natural and anthropogenic impacts, such as climate change, human-induced intervention on hydrological regimes, and land use and land cover change. Rapid developments of remote sensing science and technologies, provide immense opportunities and capacities to improve our understanding of the changing lake and wetland environments. This special issue on Remote Sensing of Floodpath Lakes and Wetlands comprise featured articles reporting the latest innovative research and reflects the advancement in remote sensing applications on the theme topic. In this editorial paper, we review research developments using state-of-the-art remote sensing technologies for monitoring dynamics of floodpath lakes and wetlands; discuss challenges of remote sensing in inventory, monitoring, management, and governance of floodpath lakes and wetlands; and summarize the highlights of the articles published in this special issue.


2019 ◽  
Vol 11 (5) ◽  
pp. 561
Author(s):  
Simonetta Paloscia ◽  
Emanuele Santi

Since the early 1980s, the capabilities of satellite sensors operating at microwaves for the remote sensing of Earth’s surface have been widely assessed in a number of studies (e [...]


2020 ◽  
Vol 12 (17) ◽  
pp. 2815
Author(s):  
Gwanggil Jeon ◽  
Valerio Bellandi ◽  
Abdellah Chehri

This Special Issue intended to probe the impact of the adoption of advanced machine learning methods in remote sensing applications including those considering recent big data analysis, compression, multichannel, sensor and prediction techniques. In principal, this edition of the Special Issue is focused on time series data processing for remote sensing applications with special emphasis on advanced machine learning platforms. This issue is intended to provide a highly recognized international forum to present recent advances in time series remote sensing. After review, a total of eight papers have been accepted for publication in this issue.


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