Land use change on the surface area and the influence on carbon

China has diversified landforms, the three-dimensional space area check is more accurate to help determine China’s land use change and the caused carbon variations. This study explored a new method to check China’s surface area and examine the terrestrial carbon changes for the period of 2000–2020. The results show that China’s surface area increased by 13.9% compared with the planar area, with the increased area measuring 133 × 104 km2. The south and the west, especially the southwest, usually have a high area increasing rate. Woodland has the highest area increasing rate for all the provinces. 10% of the land had its land use type changed. Cropland, grassland and unused show total land area decrease, woodland, water, and impervious all increased. The mean increasing rate of land transfer on surface area varied between 1.39% and 38.84%. The total amount of land use-type change caused carbon loss reached −5907.44 × 104 t, of −3168.97 × 104 t from vegetation storage loss, −2738.77 × 104 t from NPP and water. There were only seven provinces show carbon increase, which were more located in the west. Per unit of woodland loss will cause higher carbon release than other land use types. Land use control need to be further strengthened, especially for the protection of woodland at mountain regions

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results

The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. A new dataset was created; the ground truth has been withheld to prevent overfitting. New performance measures and evaluation protocols have been created along with a new toolkit and an evaluation server. Results of the presented 47 trackers indicate that modern tracking frameworks are well-suited to deal with convergence of short-term and long-term tracking and that multiple and single target tracking can be considered a single problem. A leaderboard, with participating trackers details, the source code, the datasets, and the evaluation kit are publicly available at the challenge website1