Surface water monitoring in small water bodies: potential and limits
of multi-sensor Landsat time series

Ogilvie, Andrew; Belaud, Gilles; Massuel, Sylvain; Mulligan, Mark J.; Goulven, Patrick Le; Calvez, Roger

doi:10.5194/hess-2018-19

Cited by 20 publications

(31 citation statements)

References 72 publications

(125 reference statements)

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“…Landsat has recently been used to undertake long term monitoring of surface water bodies at global and regional scales [12]. Landsat-8 acquires global moderate-resolution measurements of the Earth's surface in the visible (VIS), near-infrared (NIR), short wave infrared (SWIR) and thermal infrared (IR) [13].…”

Section: Introductionmentioning

confidence: 99%

Change Detection and Impact of Climate Changes to Iraqi Southern Marshes Using Landsat 2 MSS, Landsat 8 OLI and Sentinel 2 MSI Data and GIS Applications

et al. 2019

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Marshes represent a unique ecosystem covering a large area of southern Iraq. In a major environmental disaster, the marshes of Iraq were drained, especially during the 1990s. Since then, droughts and the decrease in water imports from the Tigris and Euphrates rivers from Turkey and Iran have prevented them from regaining their former extent. The aim of this research is to extract the values of the normalized difference vegetation index (NDVI) for the period 1977–2017 from Landsat 2 MSS (multispectral scanner), Landsat 8 OLI (operational land imager) and Sentinel 2 MSI (multi-spectral imaging mission) satellite images and use supervised classification to quantify land and water cover change. The results from the two satellites (Landsat 2 and Landsat 8) are compared with Sentinel 2 to determine the best tool for detecting changes in land and water cover. We also assess the potential impacts of climate change through the study of the annual average maximum temperature and precipitation in different areas in the marshes for the period 1981–2016. The NDVI analysis and image classification showed the degradation of vegetation and water bodies in the marshes, as vast areas of natural vegetation and agricultural lands disappeared and were replaced with barren areas. The marshes were influenced by climatic change, including rising temperature and the diminishing amount of precipitation during 1981–2016.

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Section: Introductionmentioning

confidence: 99%

Change Detection and Impact of Climate Changes to Iraqi Southern Marshes Using Landsat 2 MSS, Landsat 8 OLI and Sentinel 2 MSI Data and GIS Applications

et al. 2019

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“…The Sentinel-2 MultiSpectral Instrument (MSI), with Sentinel-2A launched in 2015 and Sentinel-2B launched in 2017, offers an unprecedented combination of fine spatial resolution (10-60 m), frequent revisit (5-day repeat), systematic global coverage, and a wide field of view (295 km) (Drusch et al 2012;Gascon et al 2017). It provides new opportunities for surface water monitoring at both fine spatial and fine temporal resolution (Du et al 2016;Kaplan and Avdan 2017b;Ogilvie et al 2018a;Yang et al 2018b).…”

Section: Fine Spatial Resolution Sensorsmentioning

confidence: 99%

“…Small water bodies are also ecologically important as they provide habitats for a wide range of species including rare and declining species (Biggs et al 2017;Bolpagni et al 2019;Downing 2008). In spite of their importance, small water bodies are typically missed from present assessments of global surface water area (Downing et al 2006;Ogilvie et al 2018a). Downing et al 2006 andGLOWABO: Verpoorter et al (2014).…”

Section: Existing Water-related Datasetsmentioning

confidence: 99%

“…MultiSpectral Instrument (MSI) contributes to the continuity and improvement of the Landsat series of multispectral observations, offering new opportunities to monitor surface water at both fine spatial and fine temporal resolution. Several studies have verified its ability to map surface water (Du et al 2016;Kaplan and Avdan 2017b;Ogilvie et al 2018a;Yang et al 2018b). As time goes by and its time series grows, more applications will emerge exploring the full potential of Sentinel-2 for surface water monitoring including its ability for identification of small ponds, lakes and narrow rivers, and capturing temporary water bodies.…”

Section: Opportunities With New and Future Satellite Missionsmentioning

confidence: 99%

“…Characterizing hydrological variations is a prerequisite for understanding hydrological and ecological processes across different wetland types, and to identify abnormal changes in wetland hydrology in relationship to normal variability of wetland hydrology general patterns. However, accurate information on wetland dynamics is scarce, particularly for small-sized wetlands (Ogilvie et al 2018a). Despite their size, small wetlands in arid, semi-arid and Mediterranean regions often act as critical refuge and breeding areas, offer food sources for wildlife, and harbor many plant and animal species that would otherwise not survive in the surrounding landscape (Calhoun et al 2017;McCulloch et al 2003).…”

Section: Introductionmentioning

confidence: 99%

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Satellite-based monitoring of surface water dynamics

Li¹

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PhD journey is truly a marathon event full of challenges. Alongside the challenges, there is also the joy of the journey itself and the many inspiring people encountered along the way. I would like to thank everyone who was involved in this journey. First and foremost, I would like to express my sincere thanks to my promoter, Prof. dr. Andrew K. Skidmore, who provided me the opportunity to undertake this PhD research at ITC and led me to the scientific world in the first place. It has been an honour to be his PhD student. He always encouraged me to keep learning new things and seeking answers to "why". He has taught me, both consciously and unconsciously, how to think critically and defend my views, and how to work smarter instead of harder. I am very grateful for his continuous guidance and support. This thesis would not have been possible without the support and guidance of my daily supervisor A/Prof. dr. Anton Vrieling. I am so lucky to have him as my supervisor for this PhD research. During all these years, he guided me with infinite patience and full support, providing useful discussions, constructive criticisms, enlightened ideas, and excellent English editing. He was always the first person helping me out whenever I got in the coming years (Prigent et al. 2012; Vörösmarty et al. 2000). Natural factors affecting water bodies include anomalous high-rainfall-driven flood events (Cian et al. 2018), drought events due to rainfall deficits (van Dijk et al. 2013), seasonal thawing and snowmelt in spring (Watts et al. 2012), and longer-term environmental changes (Lutz et al. 2014; Street and Grove 1976). Many human activities directly affect the availability of water resources. Examples are groundwater pumping, drainage of wetlands, irrigation schemes, and construction of new dams. Anthropogenic changes in land surfaces such as urbanization, agriculture and deforestation also lead to changes in surface water. These changes strongly affect ecosystem functioning, which further results in shifting species distributions and composition (Koning 2005; Robledano et al. 2010), especially for species that are sensitive to hydroperiod variability (Baldwin et al. 2006; Roshier et al. 2002). It may also affect other ecosystem functions including ground water recharge and nutrient cycling (Leibowitz 2003). Globally, the biodiversity of water-related ecosystems continues to decline at an alarming rate (Collen et al. 2014). In addition to these direct threats, the changes of surface water further influence climate change (Degu

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Combining Landsat observations with hydrological modelling for improved surface water monitoring of small lakes

Ogilvie

Belaud

Massuel

et al. 2018

Journal of Hydrology

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Small reservoirs represent a critical water supply to millions of farmers across semi-arid regions, but their hydrological modelling suffers from data scarcity and highly variable and localised rainfall intensities. Increased availability of satellite imagery provide substantial opportunities but the monitoring of surface water resources is constrained by the small size and rapid flood declines in small reservoirs. To overcome remote sensing and hydrological modelling difficulties, the benefits of combining field data, numerical modelling and satellite observations to monitor small reservoirs were investigated. Building on substantial field data, coupled daily rainfall-runoff and water balance models were developed for 7 small reservoirs (1-10 ha) in semi

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Surface water monitoring in small water bodies: potential and limits of multi-sensor Landsat time series

Abstract: Abstract. Hydrometric monitoring of small water bodies (1-10 ha) remains rare, due to their limited size and large numbers,

Cited by 20 publications

References 72 publications

Change Detection and Impact of Climate Changes to Iraqi Southern Marshes Using Landsat 2 MSS, Landsat 8 OLI and Sentinel 2 MSI Data and GIS Applications

Change Detection and Impact of Climate Changes to Iraqi Southern Marshes Using Landsat 2 MSS, Landsat 8 OLI and Sentinel 2 MSI Data and GIS Applications

Satellite-based monitoring of surface water dynamics

Combining Landsat observations with hydrological modelling for improved surface water monitoring of small lakes

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