Multitemporal Remote Sensing for Inland Water Bodies and Wetland Monitoring

Author(s):  
Yeqiao Wang ◽  
Shuhua Qi ◽  
Jian Xu
2017 ◽  
Author(s):  
Filippo Bandini ◽  
Daniel Olesen ◽  
Jakob Jakobsen ◽  
Cecile Marie Margaretha Kittel ◽  
Sheng Wang ◽  
...  

Abstract. High-quality bathymetric maps of inland water bodies are a common requirement for hydraulic engineering and hydrological science applications. Remote sensing methods, e.g. space-borne and airborne multispectral or LIDAR, have been developed to estimate water depth, but are ineffective for most inland water bodies, because of water turbidity and attenuation of electromagnetic radiation in water. Surveys conducted with boats equipped with sonars can retrieve accurate water depths, but are expensive, time-consuming, and are unsuitable for non-navigable water bodies. We develop and assess a novel approach to retrieve accurate and high resolution bathymetry maps. We measured accurate water depths using a tethered floating sonar controlled by an Unmanned Aerial Vehicle (UAV) in a Danish lake and in a few river cross sections. The developed technique combines the advantages of remote sensing techniques with the potential of bathymetric sonars. UAV surveys can be conducted also in non-navigable, inaccessible, or remote water bodies. The tethered sonar can measure bathymetry with an accuracy of ca. 2.1 % of the actual depth for observations up to 35 m, without being significantly affected by water turbidity, bedform or bed material.


2018 ◽  
Vol 22 (8) ◽  
pp. 4165-4181 ◽  
Author(s):  
Filippo Bandini ◽  
Daniel Olesen ◽  
Jakob Jakobsen ◽  
Cecile Marie Margaretha Kittel ◽  
Sheng Wang ◽  
...  

Abstract. High-quality bathymetric maps of inland water bodies are a common requirement for hydraulic engineering and hydrological science applications. Remote sensing methods, such as space-borne and airborne multispectral imaging or lidar, have been developed to estimate water depth, but are ineffective for most inland water bodies, because of the attenuation of electromagnetic radiation in water, especially under turbid conditions. Surveys conducted with boats equipped with sonars can retrieve accurate water depths, but are expensive, time-consuming, and unsuitable for unnavigable water bodies. We develop and assess a novel approach to retrieve accurate and high-resolution bathymetry maps. We measured accurate water depths using a tethered floating sonar controlled by an unmanned aerial vehicle (UAV) in a lake and in two different rivers located in Denmark. The developed technique combines the advantages of remote sensing with the potential of bathymetric sonars. UAV surveys can be conducted also in unnavigable, inaccessible, or remote water bodies. The tethered sonar can measure bathymetry with an accuracy of ∼2.1 % of the actual depth for observations up to 35 m, without being significantly affected by water turbidity, bed form, or bed material.


2019 ◽  
Vol 11 (18) ◽  
pp. 2178
Author(s):  
Wesley J. Moses ◽  
W. David Miller

The importance of monitoring, preserving, and, where needed, improving the quality of water resources in the open ocean, coastal regions, estuaries, and inland water bodies cannot be overstated [...]


Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2657
Author(s):  
Athanasius Ssekyanzi ◽  
Nancy Nevejan ◽  
Dimitry Van der Van der Zande ◽  
Molly E. Brown ◽  
Gilbert Van Van Stappen

Aquaculture has the potential to sustainably meet the growing demand for animal protein. The availability of water is essential for aquaculture development, but there is no knowledge about the potential inland water resources of the Rwenzori region of Uganda. Though remote sensing is popularly utilized during studies involving various aspects of surface water, it has never been employed in mapping inland water bodies of Uganda. In this study, we assessed the efficiency of seven remote-sensing derived water index methods to map the available surface water resources in the Rwenzori region using moderate resolution Sentinel 2A/B imagery. From the four targeted sites, the Automated Water Extraction Index for urban areas (AWEInsh) and shadow removal (AWEIsh) were the best at identifying inland water bodies in the region. Both AWEIsh and AWEInsh consistently had the highest overall accuracy (OA) and kappa (OA > 90%, kappa > 0.8 in sites 1 and 2; OA > 84.9%, kappa > 0.61 in sites 3 and 4), as well as the lowest omission errors in all sites. AWEI was able to suppress classification noise from shadows and other non-water dark surfaces. However, none of the seven water indices used during this study was able to efficiently extract narrow water bodies such as streams. This was due to a combination of factors like the presence of terrain shadows, a dense vegetation cover, and the image resolution. Nonetheless, AWEI can efficiently identify other surface water resources such as crater lakes and rivers/streams that are potentially suitable for aquaculture from moderate resolution Sentinel 2A/B imagery.


2016 ◽  
Vol 52 (6) ◽  
pp. 43-49
Author(s):  
V. V. Zamorov ◽  
Ye. Yu. Leonchyk ◽  
M. P. Zamorova ◽  
M. M. Dzhurtubayev

2011 ◽  
Vol 5 (2) ◽  
pp. 205 ◽  
Author(s):  
Gouri Sankar Bhunia ◽  
Shreekant Kesari ◽  
Nandini Chatterjee ◽  
Dilip Kumar Pal ◽  
Vijay Kumar ◽  
...  

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