Automatic Extraction of the Spatial Distribution of Picea schrenkiana in the Tianshan Mountains Based on Google Earth Engine and the Jeffries–Matusita Distance

• Published in: Forests Vol. 14; no. 7; p. 1373
• Main Authors: Xu, Fujin, Xu, Zhonglin, Xu, Changchun, Yu, Tingting
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 04.07.2023
• Subjects: Altitude; Carbon; Central Asia; Classification; climate; Climate change; Cloud computing; Coniferous forests; Decision making; Extraction procedures; Image classification; Internet; landscapes; Mapping; Mountains; Picea schrenkiana; Precipitation; Remote sensing; Software; soil; Soil conservation; Soil water; Spatial distribution; summer; Sustainable development; Terrain; Terrestrial ecosystems; texture; Vegetation; Water conservation; Water purification; Tien Shan Mountains; Vietnam; Central Asia

As a distinct species in the Tianshan Mountains (TS) of Central Asia (CA), Picea schrenkiana plays a significant role in water purification, soil and water conservation, and climate regulation. In the context of climate change, rapidly and accurately obtaining its spatial distribution has critical d...