17 research outputs found

    Wide-area near-real-time monitoring of tropical forest degradation and deforestation using sentinel-1

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    The use of Sentinel-1 (S1) radar for wide-area, near-real-time (NRT) tropical-forest-change monitoring is discussed, with particular attention to forest degradation and deforestation. Since forest change can relate to processes ranging from high-impact, large-scale conversion to low-impact, selective logging, and can occur in sites having variable topographic and environmental properties such as mountain slopes and wetlands, a single approach is insufficient. The system introduced here combines time-series analysis of small objects identified in S1 data, i.e., segments containing linear features and apparent small-scale disturbances. A physical model is introduced for quantifying the size of small (upper-) canopy gaps. Deforestation detection was evaluated for several forest landscapes in the Amazon and Borneo. Using the default system settings, the false alarm rate (FAR) is very low (less than 1%), and the missed detection rate (MDR) varies between 1.9% ± 1.1% and 18.6% ± 1.0% (90% confidence level). For peatland landscapes, short radar detection delays up to several weeks due to high levels of soil moisture may occur, while, in comparison, for optical systems, detection delays up to 10 months were found due to cloud cover. In peat swamp forests, narrow linear canopy gaps (road and canal systems) could be detected with an overall accuracy of 85.5%, including many gaps barely visible on hi-res SPOT-6/7 images, which were used for validation. Compared to optical data, subtle degradation signals are easier to detect and are not quickly lost over time due to fast re-vegetation. Although it is possible to estimate an effective forest-cover loss, for example, due to selective logging, and results are spatiotemporally consistent with Sentinel-2 and TerraSAR-X reference data, quantitative validation without extensive field data and/or large hi-res radar datasets, such as TerraSAR-X, remains a challenge

    Slantwise: Beyond Domination and Resistance on the Border

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    Drawing on extensive participant observation and interviews concerned with barriers to census enumeration in colonias (irregular migrant settlements along the United States-Mexico border) and Mexican migration to the United States, we argue that recent ethnography has overemphasized the role of domination and resistance. While power is fundamental to cultural analysis, we also need to examine behavior we call slantwise, that is, actions that are obliquely or only indirectly related to power relations. Ethnographic fieldwork from both sides of the United States-Mexico border uncovered a range of behaviors (including unorthodox building techniques in colonias, hybrid language practices, complex and fluid household structures, nonlinear mobility patterns, and unpredictable political loyalties of migrants) that do not fit neatly into the domination-resistance axis. We argue for the relevance of the slant-wise concept for understanding such behaviors, not as a replacement for studies of naturalized domination and resistance, but as a complement to them

    Distribution of health care facilities by study site and population served.

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    a<p>Ugandan hospitals are referred to as “General Hospitals” rather than “District Hospitals.” The “Other” hospital in Mubende district is another “General” hospital.</p>b<p><a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000242#pmed.1000242-US1" target="_blank">[41]</a>.</p>c<p>2002 country-level census data.</p>d<p>2007 country-level census data.</p
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