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Remote Sensing of Climate-Vegetation Dynamics and Their Effects on Ecosystems II

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".

Deadline for manuscript submissions: 15 July 2024 | Viewed by 812

Special Issue Editors


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Guest Editor
Taiwan International Graduate Program (TIGP), Ph.D. Program on Biodiversity, Tunghai University, Taichung, Taiwan
Interests: geoinformatics; land surface phenology; long-term ecological study; biogeochemistry
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Interests: plant and vegetation phenology; vegetation geography; global change and phenology; global change and plant geography
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Vegetation phenology plays an important role in regulating the water cycle, carbon cycle, productivity, etc., which are largely related to region-specific climatic and non-climatic factors. In the context of climate change, the dynamics of local regular climate and large-scale climatic variations, such as the El Niño-Southern Oscillation (ENSO), are expected to become more striking which may have substantial effects on vegetation phenology. In addition, climatic extremes such as storms, flash drought, tropical cyclones and sporadic events, as well as anthropogenic activities, have abruptly altered the development of vegetation across all scales, from regional to global. With the assistance of long-term in situ observations, PhenoCam monitoring networks and multisource remotely-sensed datasets, the variations in vegetation phenology and its associations with regular climate, climatic fluctuations or extremes can be potentially captured and disentangled. Additionally, attempts to understand the impacts of phenological shifts on vegetation structure and ecosystems are also of significance.

For this Special Issue, we invite papers that apply remote sensing and spatial technology to explore the variations in vegetation phenology in relation to climate. For example, the combination of field observations with remote sensing techniques across different scales, relationships between satellite-derived phenology (land surface phenology; LSP), and climate, including regional climate conditions and large-scale atmospheric anomalies, are potential issues. Studies on the effects of phenological variations in landscape on hydrological processes, water resources and biogeochemical cycles and on alterations in LSP along the land-cover gradient and projections of phenology across all scales are also welcome.

Related topics may include, but are not limited to, the following:

  • The combination and data fusion of in situ plant phenological observation and remotely-sensed data across scales;
  • Near-surface remote sensing, PhenoCam and data analysis in relation to climate and disturbances;
  • LSP across various climate regions, vegetation types, landscapes and their controls;
  • LSP along rural-to-urban gradient;
  • Variations in LSP on evapotranspiration, storage, runoff, sediments or nutrients in watershed or large scales;
  • LSP projections.

Dr. Chung-Te Chang
Prof. Dr. Junhu Dai
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • vegetation phenology
  • regular climate
  • climatic fluctuation
  • disturbance
  • phenocam
  • multisource remotely sensed data
  • time-series
  • water resources
  • productivity
  • biogeochemical cycles

Published Papers (1 paper)

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16 pages, 2971 KiB  
Technical Note
Arctic Greening Trends: Change Points in Satellite-Derived Normalized Difference Vegetation Indexes and Their Correlation with Climate Variables over the Last Two Decades
by Minji Seo and Hyun-Cheol Kim
Remote Sens. 2024, 16(7), 1160; https://doi.org/10.3390/rs16071160 - 27 Mar 2024
Viewed by 482
Abstract
In this study, we utilized NDVI data from the moderate resolution imaging spectroradiometer (MODIS) alongside climatic variables obtained from a reanalyzed dataset to analyze Arctic greening during the summer months (June–September) of the last two decades. This investigation entailed a detailed analysis of [...] Read more.
In this study, we utilized NDVI data from the moderate resolution imaging spectroradiometer (MODIS) alongside climatic variables obtained from a reanalyzed dataset to analyze Arctic greening during the summer months (June–September) of the last two decades. This investigation entailed a detailed analysis of these changes across various temporal scales. The data indicated a continuous trend of Arctic greening, evidenced by a 1.8% per decade increment in the NDVI. Notably, significant change points were identified in June 2012 and September 2013. A comparative assessment of NDVI pre- and post-these inflection points revealed an elongation of the Arctic greening trend. Furthermore, an anomalous increase in NDVI of 2% per decade was observed, suggesting an acceleration in greening. A comprehensive analysis was conducted to decipher the correlation between NDVI, temperature, and energy budget parameters to elucidate the underlying causes of these change points. Although the correlation between these variables was relatively low throughout the summer months, a distinct pattern emerged when these periods were dissected and examined in the context of the identified change points. Preceding the change point, a strong correlation (approximately 0.6) was observed between all variables; however, this correlation significantly diminished after the change point, dropping to less than half. This shift implies an introduction of additional external factors influencing the Arctic greening trend after the change point. Our findings provide foundational data for estimating the tipping point in Arctic terrestrial ecosystems. This is achieved by integrating the observed NDVI change points with their relationship with climatic variables, which are essential in comprehensively understanding the dynamics of Arctic climate change, particularly with alterations in tundra vegetation. Full article
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