Name：Teng Chenkai

Academic Qualificationgs：Postgraduate student in the class of 2021

Undergraduate schools and majors:Southwest Forestry University / Surveying and Mapping Engineering

Master’s Major: Cartography and Geographic Information Systems

Master’s College: Faculty of Forestry

Ph.D. Major: Forest Management

Ph.D. College: Faculty of Forestry

Personal information：

Hometown：gansulanzhou

Date of Birth：1998.05

Enrollment Period：2021.09-2024.06

E-mail：tckswfu@swfu.edu.cn

Research Direction（Thesis Title）：Research on Regional Aboveground Carbon Stock Estimation of High Mountain Pine Based on Spatiotemporal Filtered Data

Based on Landsat time series imagery from 1987 to 2017 and field survey data, an adaptive terrain convolution (Adaptive Topography Convolution, ATC) algorithm developed in Python was incorporated during the filtering of the time series data. This algorithm takes into account the impact of the geographical environment on image quality, removing image noise while preserving as much image detail as possible. Different algorithms were used to construct models for estimating the aboveground carbon stock of high mountain pine, and the optimal estimation model was selected to invert and map the aboveground carbon stock of high mountain pine.

Scholarly accomplishments：

1.滕晨凯, 肖月瑶, 张加龙等. 基于Landsat时间序列数据和 ATC 滤波算法的高山松碳储量估测 [J/OL]. 遥感学报, 2024:1-17.

2.滕晨凯, 张加龙, 陈朝情等. 基于 Landsat 时间序列影像和 AHTC 算法的高山松地上生物量估测 [J]. 中南林业科技大学学报 ,2024,44(2):41-52.

Career Development after Graduation：

Ph.D. candidates at the College of Forestry, Southwest Forestry University in 2024.