Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine.

Leaf nitrogen (N) content and nonstructural carbohydrate (NSC) content are 2 important physiological indicators that reflect the growth state of trees. Rapid and accurate measurement of these 2 traits multitemporally enables dynamic monitoring of tree growth and efficient tree breeding selection. Traditional methods to monitor N and NSC are time-consuming, are mostly used on a small scale, and are nonrepeatable.

Classification of Young Leaves Using Machine Learning and UAV-Borne Hyperspectral Imagery.

Rapid and accurate distinction between young and old leaves of in the wild is of great significance to the selection of varieties and the evaluation of relative yield. In this study, UAV hyperspectral imaging technology was used to obtain canopy hyperspectral data of biennial seedlings of different varieties of to distinguish young and old leaves. Five classification models were trained, namely Random Forest (RF), Artificial Neural Network (ANN), Decision Tree (DT), Partial Least Squares Discriminant Analysis (PLSDA), and Support Vector Machine (SVM).

Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging.

Traditional methods used to monitor the aboveground biomass (AGB) and belowground biomass (BGB) of slash pine () rely on on-ground measurements, which are time- and cost-consuming and suited only for small spatial scales. In this paper, we successfully applied unmanned aerial vehicle (UAV) integrated with structure from motion (UAV-SfM) data to estimate the tree height, crown area (CA), AGB, and BGB of slash pine for in slash pine breeding plantations sites. The CA of each tree was segmented by using marker-controlled watershed segmentation with a treetop and a set of minimum three meters heights.

Land use change simulation and spatial analysis of ecosystem service value in Shijiazhuang under multi-scenarios.

Simulating changes in the value of ecosystem services caused by land use changes in large cities under multiple scenarios is of great significance for cities to formulate land use policies and improve ecosystem services. Take Shijiazhuang, which is in the process of rapid urbanization, as an example. Based on the remote sensing image data and statistical yearbook of 1988, 1998, 2008, and 2018 as the basic data to analyze and estimate the 30 years of land use and ecosystem service value changes in Shijiazhuang.

The investigation of factors influencing the measurement of thyroid stimulating hormone in dried blood spots on filter paper.

We investigated sample collection variables that may influence the measurement of the thyroid stimulating hormone (TSH) including: time after birth, season, different ways for blood spot drying and varied elution time from filter paper. TSH was measured with an enzyme-linked immunoassay (EIA) method on dried blood spots collected from newborns and/or external quality control materials from CDC. We found that TSH results were stable if specimens were collected from newborns 72 hours after birth.

[The classification and treatment of lamina papyracea blow-out fracture].

Objective: To investigate the classification criterion and the treatment of lamina papyracea blow-out fracture.

Method: A clinic analysis was made on 108 case with lamina papyracea blow-out fracture. According to the classification, different treatments were taken differently.