A satellite-derived dataset on vegetation phenology across Central Asia from 2001 to 2023-Reference-Cited by-同舟云学术

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A satellite-derived dataset on vegetation phenology across Central Asia from 2001 to 2023

Published:2024-06 Issue: Volume:54 Page:110297
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Ding Chao^ORCID

Funder

Beijing Normal University

Publisher

Elsevier BV

Reference20 articles.

1. United Nations, Transforming our world: the 2030 Agenda for sustainable development, 2015. https://sdgs.un.org/2030agenda.

2. Remote sensing of land surface phenology: a prospectus;Henebry,2013

3. Land surface phenology as indicator of global terrestrial ecosystem dynamics: a systematic review;Caparros-Santiago;ISPRS J. Photogramm. Remote Sens.,2021

4. Impacts of climate change on vegetation phenology and net primary productivity in arid Central Asia;Wu;Sci. Total Environ.,2021

5. Sustainability challenges for the social-environmental systems across the Asian Drylands belt;Chen;Environ. Res. Lett.,2022

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