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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Patterns Of Infringement, Risk, And Impact Driven By Coal Mining Permits In Indonesia, Tim T. Werner, Tessa Toumbourou, Victor Maus, Martin C. Lukas, Laura J. Sonter, Muhamad Muhdar, Rebecca K. Runting, Anthony J. Bebbington
Patterns Of Infringement, Risk, And Impact Driven By Coal Mining Permits In Indonesia, Tim T. Werner, Tessa Toumbourou, Victor Maus, Martin C. Lukas, Laura J. Sonter, Muhamad Muhdar, Rebecca K. Runting, Anthony J. Bebbington
Geography
Coal mining is known for its contributions to climate change, but its impacts on the environment and human lives near mine sites are less widely recognised. This study integrates remote sensing, GIS, stakeholder interviews and extensive review of provincial data and documents to identify patterns of infringement, risk and impact driven by coal mining expansion across East Kalimantan, Indonesia. Specifically, we map and analyse patterns of mining concessions, land clearing, water cover, human settlement, and safety risks, and link them with mining governance and regulatory infractions related to coal mining permits. We show that excessive, improper permit granting and insufficient …
Emerging Hot Spot Analysis To Indicate Forest Conservation Priorities And Efficacy On Regional To Continental Scales: A Study Of Forest Change In Selva Maya 2000-2020, Nicholas Cuba, Laura A. Sauls, Anthony J. Bebbington, Denise Humphreys Bebbington, Avecita Chicchon, Pilar Delpino Marimón, Oscar Diaz, Susanna Hecht, Susan Kandel, Tracey Osborne, Rebecca Ray, Madelyn Rivera, John Rogan, Viviana Zalles
Emerging Hot Spot Analysis To Indicate Forest Conservation Priorities And Efficacy On Regional To Continental Scales: A Study Of Forest Change In Selva Maya 2000-2020, Nicholas Cuba, Laura A. Sauls, Anthony J. Bebbington, Denise Humphreys Bebbington, Avecita Chicchon, Pilar Delpino Marimón, Oscar Diaz, Susanna Hecht, Susan Kandel, Tracey Osborne, Rebecca Ray, Madelyn Rivera, John Rogan, Viviana Zalles
Geography
Despite the importance of preserving contiguous tropical forest areas to maintain biodiversity and terrestrial carbon stocks, methodological challenges continue to hinder broad-scale analysis of threats to these forests. Emerging Hot Spot Analysis (EHSA) is a spatial-statistical method that conveys complex information about the temporal dynamics of deforestation across a range of moderate to coarse spatial scales. Using Global Forest Change (GFC) data as inputs, EHSA produces spatially comprehensive, gridded outputs that represent a standardized, reproduceable way to instantiate contiguous forest tracts as spatial objects. Doing so allows aggregation of other GFC-derived values and analysis of alternative geographic configurations besides sub-national …
Toward The Development Of Deep Learning Analyses For Snow Avalanche Releases In Mountain Regions, Yunzhi Chen, Wei Chen, Omid Rahmati, Fatemeh Falah, Dominik Kulakowski, Saro Lee, Fatemeh Rezaie, Mahdi Panahi, Aref Bahmani, Hamid Darabi, Ali Torabi Haghighi, Huiyuan Bian
Toward The Development Of Deep Learning Analyses For Snow Avalanche Releases In Mountain Regions, Yunzhi Chen, Wei Chen, Omid Rahmati, Fatemeh Falah, Dominik Kulakowski, Saro Lee, Fatemeh Rezaie, Mahdi Panahi, Aref Bahmani, Hamid Darabi, Ali Torabi Haghighi, Huiyuan Bian
Geography
Snow avalanches impose a considerable threat to infrastructure and human safety in snow bound mountain areas. Nevertheless, the spatial prediction of snow avalanches has received little research attention in many vulnerable parts of the world, particularly in developing countries. The present study investigates the applicability of a stand alone convolutional neural network (CNN) model, as a deep learning approach, along with two metaheuristic algorithms including grey wolf optimization (CNN-GWO) and imperialist competitive algorithm (CNN-ICA) in snow avalanche modelling in the Darvan watershed, Iran. The analysis was based on thirteen potential drivers of avalanche occurrence and an inventory map of previously …
Implications Of Using 2 M Versus 30 M Spatial Resolution Data For Suburban Residential Land Change Modeling, S. D. Blanchard, R. G. Pontius, K. M. Urban
Implications Of Using 2 M Versus 30 M Spatial Resolution Data For Suburban Residential Land Change Modeling, S. D. Blanchard, R. G. Pontius, K. M. Urban
Geography
This study assesses the advantages and disadvantages of using 2 m spatial resolution data versus 30 m resolution data for a simulation model of land-use and land-cover change (LUCC). The model projects LUCC from 2005 to 2055 in the town of Lynnfield, Massachusetts, USA. This article describes four scenario storylines and then projects land-use and land-cover under each of the four scenarios with 2 m data and again with 30 m data. The disagreement between the 2 m output and its corresponding 30 m output ranges between 5.7% and 11.0% of the town. The disagreement due to allocation over small …