ncreasing flood risks in Thailand are leading to new challenges for flood management and subsequently for livelihoods, which are still significantly agricultural. Policy makers prefer building flood protection infrastructure over utilizing non-structural measures like urban planning regulations to mitigate risks. We argue that unplanned urbanization intensifies flood risks and livelihood vulnerability and may even create new poverty patterns in peri-urban areas.
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Showing items 1 through 9 of 39.-
Library ResourceJournal Articles & BooksMay, 2018Thailand
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Library ResourceReports & ResearchFebruary, 2022Indonesia, Malaysia, Thailand
Mapping out and assessing the economic performance of SEZs across the subregion, the publication highlights the threats they face from digital technologies, rising competition for foreign investment and international trade standoffs. Against the backdrop of COVID-19, it details a range of practical steps designed to increase trade, create jobs, and build economic resilience across the three countries.
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Library ResourceReports & ResearchMay, 2022China, Japan, South-Eastern Asia, Cambodia, Laos, Myanmar, Thailand, Vietnam, Europe, United Kingdom
This is the PDF version of an online data story published by Land Portal on 12 May 2022.
Maize is a key global cash crop, produced in every continent except Antarctica. As a flex crop, it has multiple uses including for direct human consumption, as an ingredient for animal feed, as a key component in processed foods, or in ethanol production. According to figures from FAOSTAT, global production increased from 0.2 to 1.2 billion tons between 1961 and 2020.
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Library Resource
Tracing a value chain from land-use to supermarket shelf
Reports & ResearchMay, 2022China, Japan, South-Eastern Asia, Cambodia, Myanmar, Thailand, Vietnam, Europe, United KingdomThis list of bibliographic references is an accompanying piece to the data story written by Daniel Hayward and published by the Land Portal on 12 May 2022.
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Library Resource
Volume 10 Issue 3
Peer-reviewed publicationMarch, 2021France, ThailandRecurrent Neural Networks (RNNs), including Long Short-Term Memory (LSTM) architectures, have obtained successful outcomes in timeseries analysis tasks. While RNNs demonstrated favourable performance for Land Cover (LC) change analyses, few studies have explored or quantified the geospatial data characteristics required to utilize this method. Likewise, many studies utilize overall measures of accuracy rather than metrics accounting for the slow or sparse changes of LC that are typically observed.
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Library Resource
Volume 10 Issue 3
Peer-reviewed publicationMarch, 2021Thailand, VietnamBare soil is a critical element in the urban landscape and plays an essential role in urban environments. Yet, the separation of bare soil and other land cover types using remote sensing techniques remains a significant challenge. There are several remote sensing-based spectral indices for barren detection, but their effectiveness varies depending on land cover patterns and climate conditions. Within this research, we introduced a modified bare soil index (MBI) using shortwave infrared (SWIR) and near-infrared (NIR) wavelengths derived from Landsat 8 (OLI—Operational Land Imager).
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Library Resource
Volume 10 Issue 2
Peer-reviewed publicationFebruary, 2021ThailandIn some cloudy and rainy regions, the cloud cover is high in moderate-high resolution remote sensing images collected by satellites with a low revisit cycle, such as Landsat. This presents an obstacle for classifying land cover in cloud-covered parts of the image. A decision fusion scheme is proposed for improving land cover classification accuracy by integrating the complementary information of MODIS (Moderate-resolution Imaging Spectroradiometer) time series data with Landsat moderate-high spatial resolution data. The multilevel decision fusion method includes two processes.
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Library Resource
Volume 10 Issue 1
Peer-reviewed publicationJanuary, 2021ThailandThe Mun River Basin is one of Thailand’s major grain-producing areas, but the production is insufficient, and most of the cultivated lands are rain-fed and always unused in the dry season. All this makes it necessary to determine the status of soil nutrients and soil quality in the dry season to improve soil conditions, which will be useful for cultivation in the farming period. The aim of this study was to construct a soil-quality assessment based on soil samples, and in the process the minimum data set theory was introduced to screen the assessment indicators.
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Library Resource
Volume 9 Issue 8
Peer-reviewed publicationAugust, 2020France, ThailandAnalyzing multi-scale changes in landscape connectivity is an important way to study landscape ecological processes and also an important method to maintain regional biodiversity. In this study, graph-based connectivity was used to analyze the dynamics of the connectivity of natural habitats in the Long Yangxia basin of upper Yellow River valley from 1995 to 2015. We used the core areas of the nature reserves as the source regions to construct ecological networks under different thresholds, so as to identify key areas that can maintain overall landscape connectivity.
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Library Resource
Volume 9 Issue 5
Peer-reviewed publicationMay, 2020ThailandEffective planning at the landscape scale is a difficult but crucial task. Modern landscape planning requires economic success, ecological resilience, and environmental justice. Thus, planners and designers must learn to use a deliberative approach in planning: an approach in which decisions are made with the common understanding of stakeholders. This notwithstanding, there is a lack of localized and site-specific design examples for deliberative planning. One of the lacking examples is agricultural research station, which is unique because it balances economic, academic, and public uses.
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