Potential application of remote sensing in monitoring ecosystem services of forests, mangroves and urban areas

Avtar, Ram; Kumar, Pankaj; Oono, Akiko; Saraswat, Chitresh; Dorji, Singay; Hlaing, Zarchi

doi:10.1080/10106049.2016.1206974

Cited by 46 publications

(22 citation statements)

References 49 publications

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“…Remote sensing approaches have shown their effectiveness for assessing mangrove AGB at large scales. These methods are becoming popular for estimating forest AGB due to their ability to capture spatial variation in biomass and allow repeatable monitoring in remote regions [116][117][118]. Remote sensing techniques have numerous advantages in estimating above-ground biomass (AGB) over traditional field-survey measurement approaches, as they can estimate forest AGB at different scales [119].…”

Section: Estimating Mangrove Biomass Using Remote Sensingmentioning

confidence: 99%

Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges

et al. 2019

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The mangrove ecosystem plays a vital role in the global carbon cycle, by reducing greenhouse gas emissions and mitigating the impacts of climate change. However, mangroves have been lost worldwide, resulting in substantial carbon stock losses. Additionally, some aspects of the mangrove ecosystem remain poorly characterized compared to other forest ecosystems due to practical difficulties in measuring and monitoring mangrove biomass and their carbon stocks. Without a quantitative method for effectively monitoring biophysical parameters and carbon stocks in mangroves, robust policies and actions for sustainably conserving mangroves in the context of climate change mitigation and adaptation are more difficult. In this context, remote sensing provides an important tool for monitoring mangroves and identifying attributes such as species, biomass, and carbon stocks. A wide range of studies is based on optical imagery (aerial photography, multispectral, and hyperspectral) and synthetic aperture radar (SAR) data. Remote sensing approaches have been proven effective for mapping mangrove species, estimating their biomass, and assessing changes in their extent. This review provides an overview of the techniques that are currently being used to map various attributes of mangroves, summarizes the studies that have been undertaken since 2010 on a variety of remote sensing applications for monitoring mangroves, and addresses the limitations of these studies. We see several key future directions for the potential use of remote sensing techniques combined with machine learning techniques for mapping mangrove areas and species, and evaluating their biomass and carbon stocks.

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Section: Estimating Mangrove Biomass Using Remote Sensingmentioning

confidence: 99%

Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges

et al. 2019

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“…Despite extensive speculation based on numerical simulation [25], empirical evidence suggests that biofuel markets have an insignificant impact on global deforestation trends because deforestation is mainly governed by the political set-up and socioeconomic drivers [26][27][28]. It is reported that efficient bioenergy policies can mitigate drastic land-use change and associated adverse impacts on greenhouse gases emission [29][30][31]. Energy-crop demand will create incentives to manage land for higher productivity, also resulting in more CO 2 sequestration compared to unmanaged and previously disturbed land.…”

Section: Energy On Urbanizationmentioning

confidence: 99%

Population–Urbanization–Energy Nexus: A Review

et al. 2019

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Energy expansion and security in the current world scenario focuses on increasing the energy generation capacity and if possible, adopting cleaner and greener energy in that development process. However, too often this expansion and planning alters the landscape and human influence on its surroundings through a very complex mechanism. Resource extraction and land management activity involved in energy infrastructure development and human management of such development systems have long-term and sometimes unforeseen consequences. Although alternative energy sources are being explored, energy production is still highly dependent on fossil fuel, especially in most developing countries. Further, energy production can potentially affect land productivity, land cover, human migration, and other factors involved in running an energy production system, which presents a complex integration of these factors. Thus, land use, energy choices, infrastructure development and the population for which such facilities are being developed must be cognizant of each other, and the interactions between them need to be studied and understood closely. This study strives to analyze the implications of linkages between the energy industry, urbanization, and population and especially highlights processes that can be affected by their interaction. It is found that despite advancement in scientific tools, each of the three components, i.e., population growth, urbanization, and energy production, operates in silos, especially in developing countries, and that this complex issue of nexus is not dealt with in a comprehensive way. coal was the main source of energy and saw a large growth in the usage ratio. Coal was followed by oil, natural gas, hydropower, and renewable energy. Even though renewable energy was least among all energy sources in this period, its growth rate was much faster than at any other time in history. In the year 2011, expenditures for energy supply were more than 6 trillion USD, which accounts for approximately 10% of the world gross domestic product. Out of this world energy expenditure, the shares for Europe, North America, and Japan were about 25%, 20%, and 6%, respectively [5]. The International Energy Agency estimates that, in the year 2013 alone, the total primary energy supply (TPES) was 1.575 × 10 17 Watt-hour or 13,541 Millions of Tonnes of Oil Equivalent (Mtoe) [6]. There are other issues regarding energy consumption, for example, in the year 2014, the world's primary energy supply was 13,541 MTOE; however, final energy consumption in terms of fuel was only 8328 MTOE, i.e., 29.5% less than the total supply. One of the major reasons for this difference is because part of the energy is being consumed for products such as lubricants, asphalt, gasoline, and petrochemicals, which have chemical energy content but are not used as fuel. It is reported that the world population increased by 27% from 1990 to 2008, and the average per capita energy use also increased by 10%. For the same period 1990-2008, while overall ener...

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“…Most of the previous studies in urban science focused on the application of remote sensing techniques to monitor change in vegetation cover and impacts on land surface temperature (LST), 3D modeling for vertical growth assessment, urban area expansion, and impacts on land surface temperatures [19,[31][32][33][34]. In addition, a study of the suburbs Colorado, USA, explored the characteristics of LST on landscape patterns and vertical structures employing Light Detection and Ranging (LiDAR) data [35].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Effect of Spatial Growth on Land Surface Temperature in Dhaka

et al. 2020

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Spatial urban growth and its impact on land surface temperature (LST) is a high priority environmental issue for urban policy. Although the impact of horizontal spatial growth of cities on LST is well studied, the impact of the vertical spatial distribution of buildings on LST is under-investigated. This is particularly true for cities in sub-tropical developing countries. In this study, TerraSAR-X add-on for Digital Elevation Measurement (TanDEM-XDEM), Advanced Spaceborne Thermal Emission and Reflection (ASTER)-Global Digital Elevation Model (GDEM), and ALOS World 3D-30m (AW3D30) based Digital Surface Model (DSM) data were used to investigate the vertical growth of the Dhaka Metropolitan Area (DMA) in Bangladesh. Thermal Infrared (TIR) data (10.6-11.2µm) of Landsat-8 were used to investigate the seasonal variations in LST. Thereafter, the impact of horizontal and vertical spatial growth on LST was studied. The result showed that: (a) TanDEM-X DSM derived building height had a higher accuracy as compared to other existing DSM that reveals mean building height of the Dhaka city is approximately 10 m, (b) built-up areas were estimated to cover approximately 94%, 88%, and 44% in Dhaka South City Corporation (DSCC), Dhaka North City Corporation (DNCC), and Fringe areas, respectively, of DMA using a Support Vector Machine (SVM) classification method, (c) the built-up showed a strong relationship with LST (Kendall tau coefficient of 0.625 in summer and 0.483 in winter) in comparison to vertical growth (Kendall tau coefficient of 0.156 in the summer and 0.059 in the winter), and (d) the ‘low height-high density’ areas showed high LST in both seasons. This study suggests that vertical development is better than horizontal development for providing enough open spaces, green spaces, and preserving natural features. This study provides city planners with a better understating of sustainable urban planning and can promote the formulation of action plans for appropriate urban development policies.

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Potential application of remote sensing in monitoring ecosystem services of forests, mangroves and urban areas

Cited by 46 publications

References 49 publications

Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges

Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges

Population–Urbanization–Energy Nexus: A Review

Monitoring Effect of Spatial Growth on Land Surface Temperature in Dhaka

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