Land Library
Welcome to the Land Portal Library. Explore our vast collection of open-access resources (over 74,000) including reports, journal articles, research papers, peer-reviewed publications, legal documents, videos and much more.
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Showing items 1 through 9 of 30.
Recurrent Neural Networks (RNNs), including Long Short-Term Memory (LSTM) architectures, have obtained successful outcomes in timeseries analysis tasks.
Bare 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.
In 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.
The 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.
Analyzing multi-scale changes in landscape connectivity is an important way to study landscape ecological processes and also an important method to maintain regional biodiversity.
Effective planning at the landscape scale is a difficult but crucial task. Modern landscape planning requires economic success, ecological resilience, and environmental justice.
Since 2016, the Thai Government has pursued a twenty-year national economic growth policy, Thailand 4.0, promoting innovation and stimulating international investment through the Eastern Economic Corridor (EEC) project.
This article evaluates the impacts of land ownership on the economic performance and viability of rice farming in Thailand, and explores whether they are heterogeneous across different types of farming while using the propensity score matching (PSM) technique.
The process of desertification is complex, involving interaction between many factors, both environmental and anthropogenic. However, human activities, especially from land-use change and inappropriate land use, are the most influential factors associated with the desertification risk.