[Ecosystem Services Assessment and Multi-Scenario Prediction in Liaoning Province from 2000 to 2020].

Ecosystem service assessment and prediction play a crucial role in sustainable regional development and resource management. Liaoning Province, as a typical representative of Northeast China, faces rapid development challenges such as urbanization, industrialization, and agricultural modernization. At the same time, there is an urgent need for a deeper understanding of the evolution trends of its ecosystems and their impact on ecosystem services.

Research on the Impact of Absorption Feature Extraction on Spectral Difference Between Similar Minerals.

Diagnostic absorption features can indicate the existence of specific materials, which is the foundation of mineral analysis with optical remote sensing data. In hyperspectral data processing, the most commonly used method to extract absorption feature, is Continuum Removal (CR). As for multispectral data, Principle Component Analysis and other indirect methods were used to extract absorption information, and little research has been done on full-band absorption feature extraction.

[Research on the model of spectral unmixing for minerals based on derivative of ratio spectroscopy].

The precise analysis of mineral abundance is a key difficulty in hyperspectral remote sensing research. In the present paper, based on linear spectral mixture model, the derivative of ratio spectroscopy (DRS) was introduced for spectral unmixing of visible to short-wave infrared (Vis-SWIR; 0.4 - 2.