Special Issue "Applications of Remote Sensing for Terrestrial Ecosystem Biochemical Responses to Climate Change and Drought"
Deadline for manuscript submissions: 31 December 2021.
Interests: remote sensing; ecology; carbon cycle; drought; phenology; climate change
Interests: remote sensing of vegetation;ecophysiology of plants; impact assessment
Special Issues and Collections in MDPI journals
Climate change and climate extremes (e.g., drought) affect the terrestrial carbon balance and ecosystem functionalities. They modify both the rates of carbon uptake by photosynthesis (e.g., gross primary productivity) and release by total ecosystem respiration. Remote sensing has long been used to understand the impact of climate change on the spatial and seasonal variability of carbon and water balance at local and global scales.
Remotely sensed indicators can provide an effective way to obtain real-time conditions of ecosystems and offer a range of spatial and temporal observations on changes in ecosystem structure, function, and services. Remote-sensing indicators differ in their sensitivity to changes in photosynthetic status. However, no consensus has been reached regarding the most suitable indicators for quantifying and modeling the effect of climate change and its extremes on terrestrial carbon and water balance.
This Special Issue of Remote Sensing aims at the publication of both review and original research papers related to the following keyword-indicated research topics:
- Remote sensing of climate change;
- Remote sensing of climate extremes;
- Remote sensing of carbon and water cycles;
- Remote sensing of arid ecosystems;
- Remote sensing of water limited lands;
- Remote sensing, remote sensing of bio-geophysical variables;
- Remote sensing of drought.
This Special Issue is open to contributions such as review papers and focus papers presenting strategies, methodologies, or approaches leading to the assimilation of remote sensing products from different platforms (e.g., in situ spectroradiometers, UAV, satellites), whether reflected in the optical range or emitted as fluorescence, far-infrared, or microwave radiation, as well as techniques based on different assimilation of remote sensing and in-situ measurements in ecological models. Data and in situ measuring methods for product validation purposes are also welcome.
Dr. Manuela Balzarolo
Dr. Frank Veroustraete
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 papers will be 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 2400 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.
- Climate change
- Climate extremes
- Carbon cycle
- Water cycle
- Light use efficiency models
- Ecological models
- Satellite data
- Field spectroscopy
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Tentative title: Precipitation significantly impacts the NDVI distribution in the Tibetan Plateau, while high warming rate may enhance ecological drought
Kewei Jiao, Jiangbo Gao*, Zhihua Liu, Shaohong Wu
Abstract: To understand the complex relationship between climate change and vegetation activity in the Tibetan Plateau, the spatial distribution and dynamic characteristics of the response of NDVI to climate change from 1982 to 2015 were investigated by the geographically weighted regression (GWR) model. The GWR was run based on the combined datasets of satellite vegetation index (GIMMS NDVI) and climate observation (temperature and moisture) from meteorological stations nationwide. The results noted that the spatial non-stationary relationship between NDVI and surface temperature has appeared in the Tibetan Plateau. The significant negative temperature-vegetation relationship was distributed in northeastern and western parts of the Tibetan Plateau. And then, by comparing the normalized regression coefficients for different climate factors, regions with precipitation dominants for NDVI were distributed most widely (39.7%), and regions with temperature dominants for NDVI were distributed in the plateau sub-cold zone and Southeast Tibetan Plateau, where the annual mean minimum temperature accounts for the largest areas. In addition, regression coefficients between NDVI dynamics and climate variability indicated that the higher warming rate could result in the weakened vegetation activity through some mechanisms such as enhanced drought (Arid/Semi-arid region), while the moisture variability could mediate the hydrothermal conditions for the variation of vegetation activity (Southern part).