scholarly journals Relationships between Wetland Fragmentation and Recent Hydrologic Changes in a Deltaic Coast

Estuaries ◽  
1990 ◽  
Vol 13 (3) ◽  
pp. 272 ◽  
Author(s):  
R. Eugene Turner ◽  
Yeleswarapu S. Rao
Keyword(s):  
Wetland Fragmentation

Dispersal and Wetland Fragmentation

2018 ◽  
pp. 105-111
Author(s):  
Bradley J. Cosentino ◽  
Robert L. Schooley
Keyword(s):  
Wetland Fragmentation

Effects of Landscape Composition and Wetland Fragmentation on Frog and Toad Abundance and Species Richness in Iowa and Wisconsin, U.S.A.

1999 ◽  
Vol 13 (6) ◽  
pp. 1437-1446 ◽  
Author(s):  
Melinda G. Knutson ◽  
John R. Sauer ◽  
Douglas A. Olsen ◽  
Michael J. Mossman ◽  
Lisa M. Hemesath ◽  
...  
Keyword(s):  
Species Richness ◽  
Landscape Composition ◽  
Wetland Fragmentation

Dispersal and Wetland Fragmentation

2016 ◽  
pp. 1-7
Author(s):  
Bradley J. Cosentino ◽  
Robert L. Schooley
Keyword(s):  
Wetland Fragmentation

Assessment of wetland fragmentation in the Tarim River basin, western China

2008 ◽  
Vol 57 (2) ◽  
pp. 455-464 ◽  
Author(s):  
Ruifeng Zhao ◽  
Yaning Chen ◽  
Huarong Zhou ◽  
Yiqing Li ◽  
Yibing Qian ◽  
...  
Keyword(s):  
River Basin ◽  
Western China ◽  
Tarim River ◽  
Tarim River Basin ◽  
The Tarim River ◽  
Wetland Fragmentation ◽  
The Tarim River Basin

scholarly journals Assessment of wetland fragmentation in the middle reaches of the Heihe River by the type change tracker model

2014 ◽  
Vol 7 (2) ◽  
pp. 177-188 ◽  
Author(s):  
RuiFeng Zhao ◽  
ZuoLun Xie ◽  
LiHua Zhang ◽  
Wen Zhu ◽  
Jie Li ◽  
...  
Keyword(s):  
Heihe River ◽  
Type Change ◽  
Wetland Fragmentation

scholarly journals The Detection of Wetlands And Wetland Fragmentation Using Sentinel 1 And 2 Imagery: The Example of Southern Nigeria

2021 ◽  
Author(s):  
Sani Idris Garba ◽  
Susanna Ebmeier ◽  
Jean-François Bastin ◽  
Danilo Mollicone ◽  
Joseph Holden
Keyword(s):  
Shallow Water ◽  
Land Surface ◽  
Climate Models ◽  
Google Earth ◽  
Visual Interpretation ◽  
Wetland Ecosystems ◽  
Spatial Coverage ◽  
Southern Nigeria ◽  
Wetland Fragmentation ◽  
Sentinel 2

Abstract Wetland ecosystems play key roles in global biogeochemical cycling, but their spatial extent and connectivity is often not well known. Here, we describe an approach suitable for application on a 1000 km scale using Sentinel-1 and Sentinel-2 imagery, exploiting the implementation of Random Forest algorithm in Google Earth Engine. The approach was used to detect the spatial coverage of wetland types focusing on the case of southern Nigeria, thought to be one of the most wetland-rich areas of Africa. We compiled 1050 wetland and non-wetland control points for algorithm training and validation, primarily from visual interpretation of high-resolution (<1 m pixel) imagery. This allowed us to establish the relative importance of 18 input channels derived from Sentinel-1 polarimetric and Sentinel-2 indices for classification of wetland. We estimate that the swamps, marshes, mangroves, and shallow water wetlands of southern Nigeria cover 29,900 km² with 2% uncertainty of 460 km². We found larger mangrove and smaller marsh extent than suggested by earlier, coarser spatial resolution studies. Average continuous wetland patch areas were 120 km², 11 km², 55 km² and 13 km² for mangrove, marsh, swamp, and shallow water respectively. Our final map with 10 m pixels also captures small patches of wetland, with 20% of wetland patches being <1 km2; these were clustered around urban centres, suggesting anthropogenic wetland fragmentation. Our approach can now be used across rest of Africa and globally to detect wetlands and wetland change which, in turn, will be crucial for improved land-surface climate models and wetland conservation.

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