Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error

TL;DR: It is concluded that agricultural expansion causes a considerable reduction of trees in woodlands, but observations in Sahel indicate that villagers safeguard trees on nearby farmlands which contradicts simplistic ideas of a high negative correlation between population density and woody cover.

TL;DR: In this article, the spatial and temporal dimensions of edge effects in large areas using remote sensing were evaluated using a neighborhood pixel analysis in 11 LANDSAT Tree Cover (LTC) scenes (180 × 185 km each, 8 in the tropics and 3 in temperate forested areas).

TL;DR: In this article , the authors combined multiple remote sensing datasets and expert surveys, identifying 55.7±6.2 million hectares of likely regenerated forests between 2000 and 2015 across areas that were not forested before 2000 and have remained forested from 2015 to 2018.

Abstract: <p>Urban greenspaces provide various benefits for human well-being. Despite the overall improvement in greenspace exposure in the 21^st century, it remains unclear whether the distribution and improvement of greenspaces, particularly urban trees, are equitable across population demographics and regions. Here, we quantified disparities in urban tree exposure across various population groups and age cohorts in 1,057 cities globally over a 15-year period (2000–2015). Our analysis revealed persistent and deepening disparities in tree exposure, with cities identified as the least or most exposed in 2000 largely remaining unchanged until 2015, indicating a lack of progress in equitable greening. Notably, the disparity between regions with higher and lower tree exposure widened from 2.7% to 5.9%, in contrast to the nearly doubling of the global average urban tree exposure during the same timeframe. Sex-based differences in exposure are minimal; however, age-related disparities are significant, with older populations experiencing the most exposure and youths the least. This trend intensified over time, while exacerbating exposure disparities and disadvantaging younger demographics. Our findings illuminate challenges in attaining Sustainable Development Goal 11, particularly the aim of universal access to green and public spaces for women, children, and older persons. These insights underscore the need for nuanced urban greening policies that not only expand green cover but also address persistent disparities and prioritize the needs of socially vulnerable subpopulations.</p>

TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.

TL;DR: The current issues will remain at 32 pages until a more adequate supply of paper is assured, due to a shortage of paper for Bacto-Agar research.

TL;DR: In this article, it is suggested that the correlation between model-predicted and observed data, commonly described by Pearson's productmoment correlation coefficient, is an insufficient and often misleading measure of accuracy, and a complement of difference and summary univariate indices is presented as the nucleus of a more informative, albeit fundamentally descriptive, approach to model evaluation.