An Improved Bird Detection Method Using Surveillance Videos from Poyang Lake Based on YOLOv8.

Poyang Lake is the largest freshwater lake in China and plays a significant ecological role. Deep-learning-based video surveillance can effectively monitor bird species on the lake, contributing to the local biodiversity preservation. To address the challenges of multi-scale object detection against complex backgrounds, such as a high density and severe occlusion, we propose a new model known as the YOLOv8-bird model.

Progress toward the sustainable development of world cultural heritage sites facing land-cover changes.

The quantification of the extent and dynamics of land-use changes is a key metric employed to assess the progress toward several Sustainable Development Goals (SDGs) that form part of the United Nations 2030 Sustainable Development Agenda. In terms of anthropogenic factors threatening the conservation of heritage properties, such a metric aids in the assessment of achievements toward heritage sustainability solving the problem of insufficient data availability. Therefore, in this study, 589 cultural World Heritage List (WHL) properties from 115 countries were analyzed, encompassing globally distributed and statistically significant samples of "monuments and groups of buildings" (73.

Ecosystem services in conservation planning: Assessing compatible vs. incompatible conservation.

The compatible conservation of ecosystem services (ES) refers to the sustainable development of a region and the multiple dimensions of the region population's well-being. Applying the ES relationship to systematic conservation planning (SCP) can help determine the protection priorities associated with ES and support good zoning decisions. This study uses Nanchang, China as a case study to construct a multi-scenario ES protection scheme.

Exploring spatiotemporal changes in the multi-granularity emotions of people in the city: a case study of Nanchang, China.

In the Internet age, emotions exist in cyberspace and geospatial space, and social media is the mapping from geospatial space to cyberspace. However, most previous studies pay less attention to the multidimensional and spatiotemporal characteristics of emotion. We obtained 211,526 Sina Weibo data with geographic locations and trained an emotion classification model by combining the Bidirectional Encoder Representation from Transformers (BERT) model and a convolutional neural network to calculate the emotional tendency of each Weibo.