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• W2912953700 abstract "Abstract Carbon Capture and Storage (CCS) is an emerging climate change mitigation technology which prevents carbon dioxide (CO2) from entering the atmosphere, so as to reduce greenhouse gas emissions. Environmental monitoring in CCS sites is critical for ensuring that any CO2 leakage and its effect on biota, especially vegetation, is detectable. It also plays an important role in creating a social license to operate and assuring the general public that the mechanisms for leak detection and remediation are in place. This review overviews current remote sensing technologies for vegetation monitoring of CCS sites/regions (with a focus on rangelands and pastures), including medium-to-high resolution satellite, aerial (both manned and unmanned aircrafts) and in situ sensors and methods. Our literature survey has pointed out that remote sensing, particularly hyperspectral sensors, can accurately detect CO2 leakage derived effects on vegetation. It can compensate the two main drawbacks of operational systems for detecting these effects over large areas. One is the areas affected tend to be relatively small (1–15 m); and the other is symptoms in vegetation tissues tend to be similar to other stresses, such as nutrient or water deficiency. With this in mind, we have recommend that a comprehensive system should be put in place. It integrates continuous monitoring with ad-hoc detection to assess vegetation conditions in a planned CCS site. Site-based pheonocams and area-based medium-resolution satellite remote sensing sources can be used to compare any given point in time (e.g. the injection point) with the condition at the same location in the past. Before an injection commences, a baseline assessment should be conducted using the combination of high-resolution aerial hyperspectral imaging and medium-resolution long-term data from Landsat sensors. Further acquisition of high-resolution aerial imagery (ideally hyperspectral) is particularly useful following specific detected CO2 leaking events. Aiming at bridging the gaps between research, development and implementation of CCS, this review will contribute to environmental and social impacts of sustainable energy policies, including climate change mitigation and environmental pollution reduction." @default.
• W2912953700 created "2019-02-21" @default.
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• W2912953700 date "2019-04-01" @default.
• W2912953700 modified "2023-10-10" @default.
• W2912953700 title "Remote sensing for vegetation monitoring in carbon capture storage regions: A review" @default.
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• W2912953700 cites W1673588499 @default.
• W2912953700 cites W1969272053 @default.
• W2912953700 cites W1972664953 @default.
• W2912953700 cites W1979943690 @default.
• W2912953700 cites W1986088509 @default.
• W2912953700 cites W1987097445 @default.
• W2912953700 cites W1991279786 @default.
• W2912953700 cites W1992979930 @default.
• W2912953700 cites W1993020886 @default.
• W2912953700 cites W1994757342 @default.
• W2912953700 cites W1996650048 @default.
• W2912953700 cites W1997186925 @default.
• W2912953700 cites W1999113146 @default.
• W2912953700 cites W2005284849 @default.
• W2912953700 cites W2010946555 @default.
• W2912953700 cites W2011767879 @default.
• W2912953700 cites W2014326008 @default.
• W2912953700 cites W2020874071 @default.
• W2912953700 cites W2021070812 @default.
• W2912953700 cites W2021938615 @default.
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• W2912953700 cites W2060333741 @default.
• W2912953700 cites W2064552842 @default.
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• W2912953700 cites W2080690090 @default.
• W2912953700 cites W2084306830 @default.
• W2912953700 cites W2086330580 @default.
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• W2912953700 doi "https://doi.org/10.1016/j.apenergy.2019.02.027" @default.
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