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Remote Sensing
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Assessment of Ecosystem Services Based on Satellite Data
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Assessment of Ecosystem Services Based on Satellite Data

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing and Geo-Spatial Science".

Deadline for manuscript submissions: closed (20 June 2024) | Viewed by 4813

Special Issue Editors

Prof. Dr. Zengxin Zhang

E-Mail Website
Guest Editor
State Key Laboratory of Hydrology-Water Resources and Hydraulics Engineering, Hohai University, Nanjing 210098, China
Interests: remote sensing and GIS applications; hydrological modeling; statistical downscaling; climate change and land use/land cover change impact on water resources
Special Issues, Collections and Topics in MDPI journals
Dr. Zheng Duan

E-Mail Website1 Website2
Guest Editor
Department of Physical Geography and Ecosystem Science, Lund University, S-22362 Lund, Sweden
Interests: environmental remote sensing; water quality sensing; machine learning; ecohydrological modelling
Special Issues, Collections and Topics in MDPI journals
Dr. Komal Choudhary

E-Mail Website
Guest Editor
Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Kowloon, Hong Kon, China
Interests: land use; remote sensing and GIS; landsat; landscape change; geographic information system; remote sensing; vegetation; land use change; earth sciences; ArcGISS; patial analysis

Special Issue Information

Dear Colleagues,

Ecosystem services are essential to the functioning of our planet and to human well-being. These services include the provision of clean air and water, food, fiber, and fuel, as well as the regulation of climate, disease, and nutrient cycling. Satellite data provide a valuable tool for assessing and monitoring ecosystem services over vast areas and through time. This Special Issue seeks to showcase the latest research in the assessment of ecosystem services based on satellite data.

Special attention is prescribed to ecosystem service assessment and its relation to ecohydrology. Ecohydrology is the study of the interactions between hydrological processes and ecological systems. Assessing ecosystem services from an ecohydrological perspective involves quantifying how water-related processes, such as infiltration, evapotranspiration, and runoff, affect the provision of ecosystem services. Remote sensing can provide data on vegetation cover, land use, and hydrological variables, which are essential for ecohydrological assessments of ecosystem services.

Topics of interest for this Special Issue include, but are not limited to, the following:

  • Applications of remote sensing data for mapping and monitoring ecosystem services;
  • Assessment of changes in ecosystem services over time using satellite data;
  • Use of satellite data for modeling and predicting ecosystem services;
  • Integration of satellite data with other data sources for ecosystem service assessments;
  • Case studies demonstrating the use of satellite data in ecosystem service assessments;
  • Development and validation of satellite-based methods for assessing ecosystem services;
  • Integration of satellite data with hydrological and ecological models;
  • Assessing the impacts of climate change and land use/land cover change on ecosystem services using satellite data;
  • Applications of ecohydrological concepts to the assessment of ecosystem services;
  • Case studies on the assessment of ecosystem services in various regions and ecosystems using satellite data;
  • Monitoring of marine and lake water environment changes using remote sensing data;
  • Papers that present innovative approaches, methods, or technologies for the assessment of ecosystem services are especially welcome.

We welcome original research papers, reviews, and perspectives that contribute to our understanding of the assessment of ecosystem services based on satellite data. All submitted papers will undergo rigorous peer review to ensure their high scientific quality and relevance to the Special Issue.

We look forward to receiving your submissions and to the publication of this Special Issue on Assessment of Ecosystem Services Based on Satellite Data.

Prof. Dr. Zengxin Zhang
Dr. Zheng Duan
Dr. Komal Choudhary
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

  • remote sensing technique/technology
  • satellite remote sensing
  • ecosystem services
  • land use/land cover
  • climate change
  • vegetation degradation/ restoration
  • carbon fixation and oxygen release
  • soil and water conservation
  • water conservation
  • ecological service value assessment
  • ecological modelling
  • hydrological modelling

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Published Papers (5 papers)

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Research

24 pages, 21756 KiB  
Article
Spatial–Temporal Variations in the Climate, Net Ecosystem Productivity, and Efficiency of Water and Carbon Use in the Middle Reaches of the Yellow River
by Xiao Hou, Bo Zhang, Qian-Qian He, Zhuan-Ling Shao, Hui Yu and Xue-Ying Zhang
Remote Sens. 2024, 16(17), 3312; https://doi.org/10.3390/rs16173312 - 6 Sep 2024
Viewed by 514
Abstract
An accurate assessment of the spatial–temporal variations in regional net ecosystem productivity (NEP), water use efficiency (WUE), and carbon use efficiency (CUE) are vital for understanding the water–carbon cycle. We analyzed the spatial–temporal patterns of the NEP, WUE, and CUE in the middle [...] Read more.
An accurate assessment of the spatial–temporal variations in regional net ecosystem productivity (NEP), water use efficiency (WUE), and carbon use efficiency (CUE) are vital for understanding the water–carbon cycle. We analyzed the spatial–temporal patterns of the NEP, WUE, and CUE in the middle reaches of the Yellow River (MRYR) from 2001 to 2022, and the factors that influenced them using remote sensing data, NEP estimation models, and various statistical methods. The results indicate that the recovery of the ecosystem in the MRYR is a result of the combined effects of climate change and human activities. Climate change in the MRYR led to warming and humidification from 2001 to 2022. The NEP, WUE, and CUE were characterized by increasing trends, with average growth rates of 7.75 gC m−2a−1, 0.012 gC m−2 mm−1a−1, and 0.009a−1, respectively. For four vegetation types, the interannual rates of change were, in descending order, grassland, cropland, shrubs, and forest. Spatially, the NEP, WUE, and CUE showed significant regional heterogeneity, increasing from the northwest to the southeast. Based on an analysis of the interannual anomalies, precipitation accumulation contributed to carbon sink accumulation. The correlation of the NEP, WUE, and CUE with the drought severity index (DSI) was high, and their correlation with precipitation showed latitudinal zonality, which suggests that precipitation (PRE) is the main climatic factor influencing the water–carbon cycle in the MRYR rather than temperature (TEM). There were 67,671.27 km2 of land that changed use during 2001–2022, and 15.07 Tg of NEP was added to these areas. Full article
(This article belongs to the Special Issue Assessment of Ecosystem Services Based on Satellite Data)
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23 pages, 15883 KiB  
Article
Identifying the Coupling Coordination Relationship between Urbanization and Ecosystem Services Supply–Demand and Its Driving Forces: Case Study in Shaanxi Province, China
by Jiamin Liu, Hao Wang, Le Hui, Butian Tang, Liwei Zhang and Lei Jiao
Remote Sens. 2024, 16(13), 2383; https://doi.org/10.3390/rs16132383 - 28 Jun 2024
Cited by 1 | Viewed by 627
Abstract
Exploring the relationship and driving forces between supply–demand of ecosystem services (ESs) and urbanization can help solve the environmental problems and promote regional sustainable development. This study analyzed the spatio-temporal distribution characteristics of supply–demand of ESs and comprehensive urbanization level (CUL) in Shaanxi [...] Read more.
Exploring the relationship and driving forces between supply–demand of ecosystem services (ESs) and urbanization can help solve the environmental problems and promote regional sustainable development. This study analyzed the spatio-temporal distribution characteristics of supply–demand of ESs and comprehensive urbanization level (CUL) in Shaanxi Province from 2010 to 2019 and assessed the coupling relationship between ecosystem service supply–demand ratio (ESSDR) and CUL using the coupling coordination degree (CCD) model. Random forests and geographically weighted regression methods were utilized to characterize the contribution and spatial distribution of the drivers of CCD. The results showed that: (1) except for habitat quality, the ESSDR of the other three types of services as well as the comprehensive services showed a decreasing trend, CUL exhibited increasing trend; (2) Although CCD was generally increasing, a significant portion (78.51%) of regions still remained uncoordinated, with relatively better coordination shown around the Guanzhong urban agglomeration, which has a higher urbanization level; (3) The CCD in Shaanxi Province was primarily influenced by local financial income, the secondary industry, and temperature forces. In regions with high and increasing CCD, the tertiary industry was the decisive force. In other areas, there were significant spatial variations in the driving forces. These findings provide a coupled and coordinated perspective for urban ecological management, which can provide scientific reference and practical guidance for cities with different development modes. Full article
(This article belongs to the Special Issue Assessment of Ecosystem Services Based on Satellite Data)
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27 pages, 22048 KiB  
Article
Driving Factors and Trade-Offs/Synergies Analysis of the Spatiotemporal Changes of Multiple Ecosystem Services in the Han River Basin, China
by Peidong Han, Guang Yang, Zijun Wang, Yangyang Liu, Xu Chen, Wei Zhang, Zhixin Zhang, Zhongming Wen, Haijing Shi, Ziqi Lin and Hanyu Ren
Remote Sens. 2024, 16(12), 2115; https://doi.org/10.3390/rs16122115 - 11 Jun 2024
Viewed by 616
Abstract
Uncovering the trade-offs and synergy relationship of multiple ecosystem services (ESs) is important for scientific ecosystem management and the improvement of ecological service functions. In this study, we investigated the spatiotemporal changes of four typical ES types (i.e., water yield (WY), carbon storage [...] Read more.
Uncovering the trade-offs and synergy relationship of multiple ecosystem services (ESs) is important for scientific ecosystem management and the improvement of ecological service functions. In this study, we investigated the spatiotemporal changes of four typical ES types (i.e., water yield (WY), carbon storage (CS), soil conservation (SC), and habitat quality (HQ)) from 2001 to 2020 in the Han River Basin (HRB). Meanwhile, the trade-offs and synergies between paired ESs and the socioecological drivers of these ESs were further explored. The results showed that grassland, cropland, and bare land decreased by 12,141.3 km2, 624.09 km2, and 22.1 km2 during the study period, respectively, which can be attributed to their conversion to forests in the HRB. Temporally, the WY, CS, and SC all showed a continuously increasing trend. Spatially, WY and HQ exhibited bipolar clustering characteristics, with WY exhibiting low-value clustering in the upstream and high-value clustering in the downstream, while CS showed the clustering characteristics of a scattered distribution of cold and hot spots from 2001 to 2020. The spatial patterns of aggregation locations in CS and HQ were relatively similar, with clusters of higher ES values mainly distributed in the western and central regions and clusters of lower ES values mainly located in the eastern and southeastern regions, while the aggregation of WY was spatially concentrated. Overall, the CS showed a significant positive correlation with HQ, but a significant negative correlation with WY. Spatially, WY and HQ, CS, and SC showed a substantial trade-off relationship in the northwest and southeast parts of the study area, while HQ, CS, and SC mainly exhibited a synergistic relationship in most parts of the study area. Slope and temperature had high influencing factor coefficients on multiple ESs; the mixed effect of terrain and natural factors was significantly greater than the impact of a single factor on ESs, and terrain factors played an essential role in the changes in ESs. The findings can provide technical and theoretical support for integrated scientific ecosystem management and sustainable development at the local scale. Full article
(This article belongs to the Special Issue Assessment of Ecosystem Services Based on Satellite Data)
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20 pages, 16712 KiB  
Article
Effects of Land Use/Cover Change on Terrestrial Carbon Stocks in the Yellow River Basin of China from 2000 to 2030
by Jiejun Zhang, Jie Yang, Pengfei Liu, Yi Liu, Yiwen Zheng, Xiaoyu Shen, Bingchen Li, Hongquan Song and Zongzheng Liang
Remote Sens. 2024, 16(10), 1810; https://doi.org/10.3390/rs16101810 - 20 May 2024
Viewed by 892
Abstract
Accurately assessing and predicting the impacts of land use changes on ecosystem carbon stocks in the Yellow River Basin (YRB) and exploring the optimization of land use structure to increase ecosystem carbon stocks are of great practical significance for China to achieve the [...] Read more.
Accurately assessing and predicting the impacts of land use changes on ecosystem carbon stocks in the Yellow River Basin (YRB) and exploring the optimization of land use structure to increase ecosystem carbon stocks are of great practical significance for China to achieve the goal of “double carbon”. In this study, we used multi-year remote sensing data, meteorological data and statistical data to measure the ecosystem carbon stock in the YRB from 2000 to 2020 based on the InVEST model, and then simulated and measured the ecosystem carbon stock under four different land use scenarios coupled with the FLUS model in 2030. The results show that, from 2000 to 2020, urban expansion in the YRB continued, but woodland and grassland grew more slowly. Carbon stock showed an increasing trend during the first 20 years, with an overall increase of 7.2 megatons, or 0.23%. Simulating the four land use scenarios in 2030, carbon stock will decrease the most under the cropland protection scenario, with a decrease of 17.7 megatons compared with 2020. However, carbon stock increases the most under the ecological protection scenario, with a maximum increase of 9.1 megatons. Furthermore, distinct trends in carbon storage were observed across different regions, with significant increases in the upstream under the natural development scenario, in the midstream under the ecological protection scenario and in the downstream under the cropland protection scenario. We suggest that the upstream should maintain the existing development mode, with ecological protection prioritized in the middle reaches and farmland protection prioritized in the lower reaches. This study provides a scientific basis for the carbon balance, land use structure adjustment and land management decision-making in the YRB. Full article
(This article belongs to the Special Issue Assessment of Ecosystem Services Based on Satellite Data)
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17 pages, 18298 KiB  
Article
All-Weather Monitoring of Ulva prolifera in the Yellow Sea Based on Sentinel-1, Sentinel-3, and NPP Satellite Data
by Chuan Li, Xiangyu Zhu, Xuwen Li, Sheng Jiang, Hao Shi, Yue Zhang, Bing Chen, Zhiwei Ge and Lingfeng Mao
Remote Sens. 2023, 15(24), 5772; https://doi.org/10.3390/rs15245772 - 18 Dec 2023
Viewed by 1053
Abstract
Ulva prolifera (U. prolifera), a global eco-environmental issue, has been recurring annually in the Yellow Sea of China since 2007, leading to significant impacts on the coastal ecosystem and the economies of coastal cities. To enhance the frequency of daily monitoring [...] Read more.
Ulva prolifera (U. prolifera), a global eco-environmental issue, has been recurring annually in the Yellow Sea of China since 2007, leading to significant impacts on the coastal ecosystem and the economies of coastal cities. To enhance the frequency of daily monitoring for U. prolifera and to advance the multi-source remote sensing monitoring system, a combination of the Sentinel-1 SAR remote sensing satellite and the Sentinel-3 OLCI and NPP VIIRS optical remote sensing satellites was employed. This comprehensive analysis encompassed the examination of Sentinel-1 C band characteristics, the range of influence of U. prolifera, and the migration trajectory of its enrichment zones. On 6 June 2021, three satellite images depicted the northwest drift of U. prolifera, followed by a southward movement after making contact with the coast of Qingdao, China, on 12 June. The most extensive impact area caused by U. prolifera was observed on 18 June. Subsequently, the images revealed a contraction and enrichment of U. prolifera in an eas–-west direction. The amalgamation of radar and optical remote sensing satellites in a multi-frequency monitoring approach allows for a continuous all-weather surveillance mechanism for U. prolifera. This mechanism serves to provide timely alerts for the prevention and management of U. prolifera outbreaks. Full article
(This article belongs to the Special Issue Assessment of Ecosystem Services Based on Satellite Data)
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