Dear all,<\/p>\n
Hello!<\/p>\n
This is an announcement of the upcoming Environmental Geography Seminar.<\/p>\n
Please see all the details carefully below.<\/p>\n
\u3010Date\u3011 23rd. January. Wed. \uff08Time: 15:00~\uff09<\/p>\n
\u3010Place\u3011 D101<\/p>\n
\u3010Content\u3011<\/p>\n
1. Presenters<\/p>\n
i. Mohan<\/p>\n
A study progress<\/p>\n
Title: Development of Supraglacial ponds in the Everest region, Nepal using remote sensing techniques<\/p>\n
ii. Armstrong<\/p>\n
A paper review<\/p>\n
Title: Integrating Geospatial Techniques for Urban Land Use Classification in the Developing Sub-Saharan African City of Lusaka, Zambia
\nAuthor: Ronald Estoque and *Yuji Murayama
\nFaculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City,
\nIbaraki 305-8572, Japan; mura@geoenv.tsukuba.ac.jp
\n* Correspondence: matamyo@gmail.com; Tel.: +81-701-255-2705
\nAbstract: For most sub-Saharan African (SSA) cities, in order to control the historically unplanned urban growth and stimulate sustainable future urban development, there is a need for accurate identification of the past and present urban land use (ULU). However, studies addressing ULU classification in SSA cities are lacking. In this study, we developed an integrated approach of remote sensing and Geographical Information System (GIS) techniques to classify ULU in the developing SSA city of Lusaka. First, we defined six ULU classes (i.e., unplanned high density residential; unplanned low density residential; planned medium-high density residential; planned low density residential; commercial and industrial; public institutions and service areas). ULU parcels, created using road networks as homogenous units separating ULU classes, were used to classify ULU.We utilised the combined detail of cadastral and land use data plus high-resolution Google Earth imagery to infer ULU and classify the parcels. For residential ULU, we also created density thresholds for accurate separation of the classes. We then used the classified ULU parcels for post-classification sorting of built-up pixels extracted from three Landsat TM\/ETM+ imageries (1990, 2000, and 2010) into respective ULU classes. Three ULU maps were produced with overall accuracy values of 84.09% to 85.86%. The maps provide information that is relevant to urban planners and policy makers for sustainable future urban planning of Lusaka City. The study also provides an insight for ULU classification in SSA cities with complex urban landscapes similar to Lusaka.
\nKeywords: urban land use; remote sensing; GIS; parcels; ancillary data; Sub-Saharan Africa
\nFull text on: https:\/\/doi.org\/10.3390\/ijgi6040102
\nJournal information: MDPI-ISPRS International Journal of Geo-Information
\n https:\/\/www.mdpi.com\/journal\/ijgi
\nImpact Factor: 1.723<\/p>\n
iii. Atupelye<\/p>\n
A study progress<\/p>\n
Title: Coexistence in a land use and elephants sustainability in Great Ruaha ecosystem<\/p>\n
iv. Sandy<\/p>\n
A paper review<\/p>\n
Title: Public-private collaboration for disaster risk management: A case study of hotels in Matsushima, Japan.
\nAuthor: Nguyen, N.D, Imamura. F, and Luchi. K (2017)
\nJournal: Tourism Management 61, 128-140
\nAbstract:
\nThis research paper focuses on public-private collaboration for disaster risk management in coastal destinations, particularly between the hotel industry and local government. To guide its research, this paper applies collaborative planning theory in developing a research framework to discover gaps between stakeholders\u2019 attitudes towards collaboration, its outcomes, and obstacles preventing the adoption of specific hotel-based disaster management actions. A case study is used on Matsushima, Japan, a popular coastal destination in the Tohoku Region, which was devastated by the 2011 tsunami. Through surveys and interviews, this study found that hotels can play a key role in working together with the local government towards disaster risk management of coastal destinations. However, collaboration gaps between the stakeholders limited the extent of the adoption of hotel-based disaster risk management initiatives. <\/p>\n
v. Cui Song<\/p>\n
A paper review<\/p>\n
Title: Monitoring tropical debris-covered glacier dynamics from high-resolution unmanned aerial vehicle photogrammetry, Cordillera Blanca, Peru
\nAuthor: Oliver Wigmore, Bryan Mark
\nJournal: The Cryosphere, 11, 2463\u20132480, 2017
\nImpact factor: 5.516 (2014)
\nAbstract
\nThe glaciers of the Cordillera Blanca, Peru, are rapidly retreating and thinning as a result of climate change, altering the timing, quantity and quality of water available to downstream users. Furthermore, increases in the number and size of proglacial lakes associated with these melting glaciers is increasing potential exposure to glacier lake outburst floods (GLOFs). Understanding how these glaciers are changing and their connection to proglacial lake systems is thus of critical importance. Most satellite data are too coarse for studying small mountain glaciers and are often affected by cloud cover, while traditional airborne photogrammetry and lidar are costly. Recent developments have made unmanned aerial vehicles (UAVs) a viable and potentially transformative method for studying glacier change at high spatial resolution, on demand and at relatively low cost. Using a custom designed hexacopter built for high-altitude (4000\u20136000\u202fm a. s. l. ) operation, we completed repeat aerial surveys (2014 and 2015) of the debris-covered Llaca Glacier tongue and proglacial lake system. High-resolution orthomosaics (5\u202fcm) and digital elevation models (DEMs) (10\u202fcm) were produced and their accuracy assessed. Analysis of these datasets reveals highly heterogeneous patterns of glacier change. The most rapid areas of ice loss were associated with exposed ice cliffs and meltwater ponds on the glacier surface. Considerable subsidence and low surface velocities were also measured on the sediments within the pro-glacial lake, indicating the presence of extensive regions of buried ice and continued connection to the glacier tongue. Only limited horizontal retreat of the glacier tongue was observed, indicating that measurements of changes in aerial extent alone are inadequate for monitoring changes in glacier ice quantity.<\/p>\n
2. Note this:<\/p>\n
Please send me the detailed information about your presentation at least 5 days before your turn.<\/p>\n
For a paper review: title and author of the paper, journal name, which volume, pages, also the link (if possible) should be provided.<\/p>\n
If a paper written in Japanese is going to be presented, please kindly send me the information both in Japanese and English.<\/p>\n
\u3010Notice\u3011<\/p>\n
\u203b In case you are absent from the seminar or late for the seminar, please contact Professors or me in advance. Any absence without permission is not allowed;<\/p>\n
\u203b Please be punctual (very important);<\/p>\n
\u203b Please do your full preparation for the seminar;<\/p>\n
\u203b Your active participation is always appreciated;<\/p>\n
\u203b Please feel free to get in touch with me if you have any questions or comments.<\/p>\n
Best Regards,<\/p>\n
Chang Liang<\/p>\n","protected":false},"excerpt":{"rendered":"
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