Remote sensing of terrestrial vegetation has been successful thanks to the unique spectral characteristics of green vegetation, low reflectance in red and high reflectance in Near-InfraRed (NIR). These spectral characteristics were used to develop vegetation indices, including Normalized Difference Vegetation Index (NDVI). However, the NIR absorption by water and light scattering from suspended particles reduces the practical application of such indices in aquatic vegetation studies, especially for the Submerged Aquatic Vegetation (SAV) that grows below water surface. We experimentally tested if NDVI can be used to depict canopies of aquatic plants in shallow waters. A 100-gallonoutdoor tank was lined with black pond liners, a black panel o...
The ability to differentiate a non-native aquatic plant, Myriophyllum spicatum (Eurasian watermilfoi...
It is difficult to accurately identify and extract bodies of water and underwater vegetation from sa...
Remote sensing has rarely been used as a tool to map and monitor submerged aquatic vegetation (SAV) ...
Abstract: Remote sensing of terrestrial vegetation has been successful thanks to the unique spectral...
The water column overlying the submerged aquatic vegetation (SAV) canopy presents difficulties when ...
Optical remote sensing of aquatic vegetation in shallow water is an essential aid to ecosystem prote...
Optical remote sensing has been suggested as a preferred method for monitoring submerged aquatic veg...
The water column overlying the submerged aquatic vegetation (SAV) canopy presents difficulties when ...
Through the analysis of hyperspectral imaging data collected over water surfaces covered by floating...
Macrophytes in streams and rivers may be a major factor in hydraulic resistance against flow and in ...
The unique spectral characteristics of submerged vegetation in wetlands determine that the conventio...
Remote sensing monitoring and inversion research of vegetation water content is one of the most impo...
Kelp forests are commonly classified within remote sensing imagery by contrasting the high reflectan...
Wetlands are important to the environment because they perform many hydrologic and chemical “cleansi...
Seagrass habitats are characteristic features of shallow waters worldwide and provide a variety of e...
The ability to differentiate a non-native aquatic plant, Myriophyllum spicatum (Eurasian watermilfoi...
It is difficult to accurately identify and extract bodies of water and underwater vegetation from sa...
Remote sensing has rarely been used as a tool to map and monitor submerged aquatic vegetation (SAV) ...
Abstract: Remote sensing of terrestrial vegetation has been successful thanks to the unique spectral...
The water column overlying the submerged aquatic vegetation (SAV) canopy presents difficulties when ...
Optical remote sensing of aquatic vegetation in shallow water is an essential aid to ecosystem prote...
Optical remote sensing has been suggested as a preferred method for monitoring submerged aquatic veg...
The water column overlying the submerged aquatic vegetation (SAV) canopy presents difficulties when ...
Through the analysis of hyperspectral imaging data collected over water surfaces covered by floating...
Macrophytes in streams and rivers may be a major factor in hydraulic resistance against flow and in ...
The unique spectral characteristics of submerged vegetation in wetlands determine that the conventio...
Remote sensing monitoring and inversion research of vegetation water content is one of the most impo...
Kelp forests are commonly classified within remote sensing imagery by contrasting the high reflectan...
Wetlands are important to the environment because they perform many hydrologic and chemical “cleansi...
Seagrass habitats are characteristic features of shallow waters worldwide and provide a variety of e...
The ability to differentiate a non-native aquatic plant, Myriophyllum spicatum (Eurasian watermilfoi...
It is difficult to accurately identify and extract bodies of water and underwater vegetation from sa...
Remote sensing has rarely been used as a tool to map and monitor submerged aquatic vegetation (SAV) ...