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推进地球观测数据时空校准诊断预测模型：中纬度地区森林净初级生产力预测案例研究

IF 6 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing Pub Date : 2024-09-12 DOI:10.1080/15481603.2024.2401247
Eunbeen Park, Hyun-Woo Jo, Gregory Scott Biging, Jong Ahn Chun, Seong Woo Jeon, Yowhan Son, Florian Kraxner, Woo-Kyun Lee
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引用次数: 0

摘要

要制定以证据为基础的气候变化驱动型灾害适应战略，就必须开发精确且可解释的时空模型。本研究引入了一个诊断预测模型，该模型可用于预测气候变化引起的灾害。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Advancement of a diagnostic prediction model for spatiotemporal calibration of earth observation data: a case study on projecting forest net primary production in the mid-latitude region
Developing a precise and interpretable spatiotemporal model is need for establishing evidence-based adaptation strategies on climate change-driven disasters. This study introduced a diagnostic pred...
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来源期刊
GIScience & Remote Sensing
GIScience & Remote Sensing 地学-遥感
CiteScore
11.20
自引率
9.00%
发文量
84
审稿时长
6 months
期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.
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