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Updated: Jul 2, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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通过使用GARCH和Holt-Winters模型预测植被的波动性和季节性

Vibhanshu Kumar1, Birendra Bharti2, Harendra Prasad Singh1

  • 1Department of Civil Engineering, Central University of Jharkhand, Ranchi, India.

Environmental monitoring and assessment
|February 21, 2024
PubMed
概括

这项研究整合了通用自回归条件异种分裂性 (GARCH) 和霍尔特-温特斯 (H-W) 模型,以使用规范差异植被指数 (NDVI) 数据分析植被季节性和波动性. 研究结果显示,这些模型有效地预测了印度哈德州的植被模式.

关键词:
通用自行回归条件异性质性质性质性.霍尔特 - 温特斯的冬季规范化差异植被指数指数季节性是季节性的波动性 波动性 波动性

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