Avaliação dos pacotes bibliográficos do serviço automatizado de Disseminação Seletiva da Informação da Empresa Brasileira de Pesquisa Agropecuária: SDI/Embrapa

O SDI/EMBRAPA, estabelecido com base na automação, facilita aos pesquisadores a obtenção mensal de informa­ção. Os materiais utilizados na avaliação variam segundo o tipo de abordagem. Os resultados e análise baseiam-se na avaliação quantitativa, qualitativa e estatística bibliográ­fica

Correction: Quantification of Local Warming Trend: A Remote Sensing-Based Approach.

[This corrects the article DOI: 10.1371/journal.pone.0169423.]

Spatial extent of local warming trends during the period 1961–2010 derived from MODIS-based modeled air temperature normal data.

<p>Spatial extent of local warming trends during the period 1961–2010 derived from MODIS-based modeled air temperature normal data.</p

Extent of the study area.

<p>Black and white dots (in panels a & b) represented weather stations used for model calibration and validation respectively. The selected stations were based on available ground-based air temperature normal data during 1961–1990 (panel a), and 1981–2010 (panel b). In both panels a & b, the background image representing generic land cover types that was derived from annual composite of MODIS at 500 m spatial resolution. Also the square boxes indicated major 5 city centres within the study area. In addition, panel c showed spatial extent of 21 natural sub-regions within the study area.</p

Schematic diagram of the methods employed in this study.

<p>Schematic diagram of the methods employed in this study.</p

Population growth in Alberta and three fast-paced urbanized cities since 1951 until 2011 [37].

<p>Population growth in Alberta and three fast-paced urbanized cities since 1951 until 2011 [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0169423#pone.0169423.ref037" target="_blank">37</a>].</p

Relationship between yearly average air temperature and air temperature normal 1961–1990; where the solid black line represents 1:1 and black dotted lines represent regression lines.

<p>Relationship between yearly average air temperature and air temperature normal 1961–1990; where the solid black line represents 1:1 and black dotted lines represent regression lines.</p

Quantification of Local Warming Trend: A Remote Sensing-Based Approach.

Understanding the warming trends at local level is critical; and, the development of relevant adaptation and mitigation policies at those levels are quite challenging. Here, our overall goal was to generate local warming trend map at 1 km spatial resolution by using: (i) Moderate Resolution Imaging Spectroradiometer (MODIS)-based 8-day composite surface temperature data; (ii) weather station-based yearly average air temperature data; and (iii) air temperature normal (i.e., 30 year average) data over the Canadian province of Alberta during the period 1961-2010. Thus, we analysed the station-based air temperature data in generating relationships between air temperature normal and yearly average air temperature in order to facilitate the selection of year-specific MODIS-based surface temperature data. These MODIS data in conjunction with weather station-based air temperature normal data were then used to model local warming trends. We observed that almost 88% areas of the province experienced warming trends (i.e., up to 1.5°C). The study concluded that remote sensing technology could be useful for delineating generic trends associated with local warming

Remote Sensing of Wildland Fire-induced Risk Assessment Framework

Wildland fire is one of the critical natural hazards that pose a significant threat to the communities located in the vicinity of forested/vegetated areas. In this report, our overall goal was to use very high spatial resolution (0.5-2.4m) satellite images to develop wildland fire-induced risk framework. We considered two extreme fire events, such as the 2016 HRF over Fort McMurray, and 2011 Lesser Slave Lake fire in Alberta. Thus, our activities included the: (i) estimation of the structural damages; and (ii) delineation of the wildland-urban interface (WUI) and its associated buffers at certain intervals, and their utilization in assessing potential risks. Our proposed method of remote sensing-based estimates was compared with the ground-based information available from the Planning and Development Recovery Committee Task Force of Regional Municipality of Wood Buffalo (RMWB) and National Fire Information Database (NFID); and found strong linear relationships (i.e., r2-value of 0.97 with a slope of 0.97 for the 2016 HRF over Fort McMurray; and 378 from satellite image vs. 407 from 378 from satellite image vs. 407 from NFID system for the 2011 Lesser Slave Lake fire). Upon delineating the WUI and its associated buffer zones at 10m, 30m, 50m, 70m and 100m distances; we found existence of vegetation within the 30m buffers from the WUI for all of the damaged structures. In addition, we noticed that the relevant authorities had removed vegetation in some areas between 30m and 70m buffers from the WUI in case of Fort McMurray area, which was proven to be effective in order to protect the structures in the adjacent communities. Furthermore, we mapped the wildland fire-induced vulnerable areas upon considering the WUI and its associated buffers. We found that there were still some communities that had the existence of vegetation within the buffer zones; thus such vegetation should be removed and monitored regularly in order to reduce the wildland fire-induced risks.Othe