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  • 1
    ISSN: 1573-2975
    Keywords: geogrpahical information system ; Ha Long City ; LANDSAT ; Quang Ninh ; strategic environmental assessment ; tourism ; urbanisation ; World Heritage Site
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Sociology
    Notes: Abstract The north-eastern province of Quang Ninh is one of the areas in Vietnam characterised by rapid economic, social and environmental development. Using LANDSAT TM images, this paper analyses land cover changes between the period of 1988-1998. The changes were classified into three main groups: coastal features, natural land features and human features. These main groups were further subdivided into 22 different mapping categories. The study shows that by 1998, 39.9 per cent of the 1988 land cover had changed. The results also indicate: (a) a fast expansion of the human features: during these 10 years the area of urban settlements doubled and the area for coal mining activities increased by 75 per cent. (b) the coastal area changed in a complex way driven by expansion of urbanisation, aquaculture activities, agriculture and mangrove expansion (replanting and natural colonisation of tidal flats without vegetation). (c) the original dense forest in the area rapidly declined: of the 2,010 ha cover in 1988, only 335 ha remained in 1998. Dense forests mainly changed to degraded and secondary forest. This approach allows for an accurate quantification, analysis and description of land cover in the present and the past. Therefore the data offer a powerful tool for both planners and strategic environmental assessments. The latter allow for an evaluation of the observed trends and processes in a sustainability context.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2019-07-13
    Description: Earth observations from Synthetic Aperture Radar (SAR) can provide unique observations related to forest structure and condition. Furthermore, SAR has many potential applications in forest monitoring systems, particularly where clouds have impeded optical observations. Currently, there is a reliable, freely-available, provision of SAR datasets, such as Sentinel-1, and there are plans to have more observations in the near- future (NISAR, BIOMASS). Given SARs enhanced earth observation characteristics, there is broad interest in using SAR datasets for decision support systems, such as deforestation early warning systems. However, applications of SAR are still underutilized. What is preventing users from using SAR data in their decision support systems? This study documents the experiences and lessons learned from the SERVIR network on the main limitations of incorporating SAR datasets into existing forest monitoring systems. This research also focuses on the major technical and scientific barriers we experience and best practices to address them. The results of this study are part of the SERVIR- SilvaCarbon collaboration. The primary goal of this collaboration is to build capacity in the applied use of SAR for forest monitoring and biomass estimation. The products of this effort aim to start closing the gap between SAR-science and forest applications. We will also present results to generate applied-ready knowledge for SAR.
    Keywords: Social and Information Sciences (General); Earth Resources and Remote Sensing
    Type: MSFC-E-DAA-TN63870 , American Geophysical Union (AGU) Fall Meeting 2018; Dec 10, 2018 - Dec 14, 2018; Washington, DC; United States
    Format: application/pdf
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  • 3
    Publication Date: 2019-07-13
    Description: Forests represent a key natural resource, for which degradation or disturbance is directly associated to economic implications, particularly in the context of the United Nations program REDD+ in supporting national policies to fight illegal deforestation. SERVIR, a joint NASA-USAID initiative that brings Earth observations (EO) for improved environmental decision making in developing countries, works with established institutions, called SERVIR hubs, in four regions around the world. SERVIR is partnering with global programs with great experience in providing best practices in forest monitoring systems, such as SilvaCarbon and the Global Forest Observation Initiative (GFOI), to develop a capacity building plan that prioritizes user needs. Representatives from the SERVIR global network met in February 2017 with experts in the field of Synthetic Aperture Radar (SAR) for forest applications to envisage this capacity building plan that aims to leverage the state-of-the-art knowledge on remote sensing to enhance forest monitoring for user agencies in SERVIR regions.
    Keywords: Earth Resources and Remote Sensing
    Type: PA11A-0207 , MSFC-E-DAA-TN50357 , American Geophysical Union (AGU) 2017 Fall Meeting; Dec 11, 2017 - Dec 15, 2017; New Orleans, LA; United States
    Format: application/pdf
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