2021
DOI: 10.1080/10106049.2021.1926552
|View full text |Cite
|
Sign up to set email alerts
|

Advances in satellite remote sensing of the wetland ecosystems in Sub-Saharan Africa

Abstract: Wetlands are highly productive systems that act as habitats for a variety of fauna and flora. Despite their ecohydrological significance, wetland ecosystems are severely under threat from global environmental changes as well as pressure from anthropogenic activities. Such changes results in severe disturbances of plant species composition, spatial distribution, productivity, diversity, and their ability to offer critical ecosystem goods and services . However, wetland degradation varies considerably from place… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
18
0
2

Year Published

2022
2022
2024
2024

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 32 publications
(28 citation statements)
references
References 151 publications
(184 reference statements)
0
18
0
2
Order By: Relevance
“…Accurate detection and monitoring of small seasonal and heterogeneous wetlands in the semi-arid regions is important for understanding the ecohydrological dynamics of these systems, as most of these wetlands particularly in the sub-Saharan Africa offer socio-economic benefits to the surrounding communities (Gardner et al, 2009;Kabii and Kabii, 2005;Thamaga et al, 2021). Advancements in data analytic tools provide unique opportunities to improve the detection and monitoring of semi-arid wetlands of variable sizes, which were not feasible, using the traditional remote sensing techniques.…”
Section: Discussionmentioning
confidence: 99%
“…Accurate detection and monitoring of small seasonal and heterogeneous wetlands in the semi-arid regions is important for understanding the ecohydrological dynamics of these systems, as most of these wetlands particularly in the sub-Saharan Africa offer socio-economic benefits to the surrounding communities (Gardner et al, 2009;Kabii and Kabii, 2005;Thamaga et al, 2021). Advancements in data analytic tools provide unique opportunities to improve the detection and monitoring of semi-arid wetlands of variable sizes, which were not feasible, using the traditional remote sensing techniques.…”
Section: Discussionmentioning
confidence: 99%
“…The GDEs aspects were studied successfully due to the capabilities and technological advancement of satellite datasets. For instance, Sentinel with finer spatial (10 m) and higher spectral (13 spectral bands including red edge strategic bands) resolution with varying geographical coverage up to (290 km), which is essential for extraction of GDEs such as wetland ecosystem characteristics and for the evaluation of wetland dynamics (Thamaga et al, 2021).…”
Section: Overview Of Remote Sensing Application On Groundwater-depend...mentioning
confidence: 99%
“…However, passive satellite sensors such as Landsat, Sentinel, MODIS, and SPOT with medium to coarse resolution multispectral data have also been used to map GDEs mostly due to their zero to low cost and spatial extent covered by satellite imagery (Pérez Hoyos et al, 2016). Advances in Sentinel datasets with fine spatial resolution (10 m) offers an opportunity for extraction of GDEs characteristics and status (Thamaga et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Although wetlands occupy approximately 6% of the earth's surface, they are among the most productive and ecologically diverse ecosystems globally. In their natural condition, wetlands support many environmental and socio-economic services to the neighbouring communities, which are, to some extent, largely controlled by the variations in inundation and soil saturation patterns (Dubeau et al 2017;Thamaga et al 2021). These ecosystems play a critical role by controlling floods, moderating micro-climates, maintaining and improving the water quality and protecting against erosion (Calhoun et al 2017;Chandler et al 2017;Materu et al 2018).…”
Section: Introductionmentioning
confidence: 99%