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-Reference-Cited by-同舟云学术

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

Published:2024-09-12 Issue:1 Volume:61 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Park Eunbeen¹²^ORCID,Jo Hyun-Woo¹²^ORCID,Biging Gregory Scott³^ORCID,Chun Jong Ahn⁴^ORCID,Jeon Seong Woo⁵^ORCID,Son Yowhan⁵^ORCID,Kraxner Florian¹^ORCID,Lee Woo-Kyun⁵^ORCID

Affiliation:

1. Agriculture Forestry and Ecosystem Services (AFE) Group, Biodiversity and Natural Resource (BNR) Program, International Institute for Applied System Analysis (IIASA), Laxenburg, Austria

2. OJEong Resilience Institute (OJERI), Korea University, Seoul, Republic of Korea

3. Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA

4. Climate Analytics Department, APEC Climate Center, Busan, Republic of Korea

5. Department of Environmental Science & Ecological Engineering, Korea University, Seoul, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2024.2401247

Reference44 articles.

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2. A global analysis of the impact of drought on net primary productivity

3. CISA. 2021. Drought and Infrastructure: A Planning Guide. Virginia, US: Cybersecurity and Infrastructure Security Agency. https://www.cisa.gov/sites/default/files/publications/Drought_and_Infrastructure_A_Planning_Guide_508c.pdf.

4. A Simulation Study to Investigate Climatic Controls on Net Primary Production (NPP) of a Rugged Forested Landscape in the Mid-Western Korean Peninsula;Eum S.;Korean Journal of Agricultural and Forest Meteorology,2005