IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v9y2020i11p402-d433825.html
   My bibliography  Save this article

Global Open Data Remote Sensing Satellite Missions for Land Monitoring and Conservation: A Review

Author

Listed:
  • Dorijan Radočaj

    (Faculty of Agrobiotechnical Sciences Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia)

  • Jasmina Obhođaš

    (Ruđer Bošković Institute, Bijenička 54, 10000 Zagreb, Croatia)

  • Mladen Jurišić

    (Faculty of Agrobiotechnical Sciences Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia)

  • Mateo Gašparović

    (Faculty of Geodesy, University of Zagreb, Kačićeva 26, 10000 Zagreb, Croatia)

Abstract

The application of global open data remote sensing satellite missions in land monitoring and conservation studies is in the state of rapid growth, ensuring an observation with high spatial and spectral resolution over large areas. The purpose of this study was to provide a review of the most important global open data remote sensing satellite missions, current state-of-the-art processing methods and applications in land monitoring and conservation studies. Multispectral (Landsat, Sentinel-2, and MODIS), radar (Sentinel-1), and digital elevation model missions (SRTM, ASTER) were analyzed, as the most often used global open data satellite missions, according to the number of scientific research articles published in Web of Science database. Processing methods of these missions’ data consisting of image preprocessing, spectral indices, image classification methods, and modelling of terrain topographic parameters were analyzed and demonstrated. Possibilities of their application in land cover, land suitability, vegetation monitoring, and natural disaster management were evaluated, having high potential in broad use worldwide. Availability of free and complementary satellite missions, as well as the open-source software, ensures the basis of effective and sustainable land use management, with the prerequisite of the more extensive knowledge and expertise gathering at a global scale.

Suggested Citation

  • Dorijan Radočaj & Jasmina Obhođaš & Mladen Jurišić & Mateo Gašparović, 2020. "Global Open Data Remote Sensing Satellite Missions for Land Monitoring and Conservation: A Review," Land, MDPI, vol. 9(11), pages 1-24, October.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:11:p:402-:d:433825
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/9/11/402/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/9/11/402/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manish Ramaiah & Ram Avtar & Md. Mustafizur Rahman, 2020. "Land Cover Influences on LST in Two Proposed Smart Cities of India: Comparative Analysis Using Spectral Indices," Land, MDPI, vol. 9(9), pages 1-21, August.
    2. Erbaş, Mehmet & Kabak, Mehmet & Özceylan, Eren & Çetinkaya, Cihan, 2018. "Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis," Energy, Elsevier, vol. 163(C), pages 1017-1031.
    3. Chester Arnold & Emily Wilson & James Hurd & Daniel Civco, 2020. "30 Years of Land Cover Change in Connecticut, USA: A Case Study of Long-Term Research, Dissemination of Results, and Their Use in Land Use Planning and Natural Resource Conservation," Land, MDPI, vol. 9(8), pages 1-26, July.
    4. Md Monjurul Islam & Tofael Ahamed & Ryozo Noguchi, 2018. "Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production," Sustainability, MDPI, vol. 10(6), pages 1-28, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiwon Lee & Midam An & Yongku Kim & Jung-In Seo, 2021. "Optimal Allocation for Electric Vehicle Charging Stations," Energies, MDPI, vol. 14(18), pages 1-10, September.
    2. Danijela Tuljak-Suban & Patricija Bajec, 2022. "A Hybrid DEA Approach for the Upgrade of an Existing Bike-Sharing System with Electric Bikes," Energies, MDPI, vol. 15(21), pages 1-23, October.
    3. Morro-Mello, Igoor & Padilha-Feltrin, Antonio & Melo, Joel D. & Heymann, Fabian, 2021. "Spatial connection cost minimization of EV fast charging stations in electric distribution networks using local search and graph theory," Energy, Elsevier, vol. 235(C).
    4. Katarzyna Kocur-Bera & Anna Lyjak, 2021. "Analysis of Changes in Agricultural Use of Land After Poland’s Accession to the EU," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 517-533.
    5. Pichamon Keawthong & Veera Muangsin & Chupun Gowanit, 2022. "Location Selection of Charging Stations for Electric Taxis: A Bangkok Case," Sustainability, MDPI, vol. 14(17), pages 1-23, September.
    6. Panagiotis Skaloumpakas & Evangelos Spiliotis & Elissaios Sarmas & Alexios Lekidis & George Stravodimos & Dimitris Sarigiannis & Ioanna Makarouni & Vangelis Marinakis & John Psarras, 2022. "A Multi-Criteria Approach for Optimizing the Placement of Electric Vehicle Charging Stations in Highways," Energies, MDPI, vol. 15(24), pages 1-13, December.
    7. Oluwasola O. Ademulegun & Paul MacArtain & Bukola Oni & Neil J. Hewitt, 2022. "Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions," Energies, MDPI, vol. 15(24), pages 1-28, December.
    8. Yi, Tao & Cheng, Xiaobin & Chen, Yaxuan & Liu, Jinpeng, 2020. "Joint optimization of charging station and energy storage economic capacity based on the effect of alternative energy storage of electric vehicle," Energy, Elsevier, vol. 208(C).
    9. Taher Safarrad & Mostafa Ghadami & Andreas Dittmann & Mousa Pazhuhan (Panahandeh Khah), 2021. "Tourism Effect on the Spatiotemporal Pattern of Land Surface Temperature (LST): Babolsar and Fereydonkenar Cities (Cases Study in Iran)," Land, MDPI, vol. 10(9), pages 1-25, September.
    10. Suddhasil Bose & Subhra Halder, 2023. "Identification of crop suitable land using geospatial techniques and assessment with socio-economic factors—case study from India," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 229-253, March.
    11. Lin, Haiyang & Bian, Caiyun & Wang, Yu & Li, Hailong & Sun, Qie & Wallin, Fredrik, 2022. "Optimal planning of intra-city public charging stations," Energy, Elsevier, vol. 238(PC).
    12. Paweł Ziemba, 2020. "Multi-Criteria Stochastic Selection of Electric Vehicles for the Sustainable Development of Local Government and State Administration Units in Poland," Energies, MDPI, vol. 13(23), pages 1-19, November.
    13. Shouqiang Yin & Jing Li & Jiaxin Liang & Kejing Jia & Zhen Yang & Yuan Wang, 2020. "Optimization of the Weighted Linear Combination Method for Agricultural Land Suitability Evaluation Considering Current Land Use and Regional Differences," Sustainability, MDPI, vol. 12(23), pages 1-25, December.
    14. Md. Monirul Islam & Shusuke Matsushita & Ryozo Noguchi & Tofael Ahamed, 2022. "A damage-based crop insurance system for flash flooding: a satellite remote sensing and econometric approach," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 47-89, February.
    15. Yajun Ma & Ping Zhang & Kaixu Zhao & Yong Zhou & Sidong Zhao, 2022. "A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China," Land, MDPI, vol. 11(6), pages 1-31, June.
    16. Ömer Kaya & Kadir Diler Alemdar & Tiziana Campisi & Ahmet Tortum & Merve Kayaci Çodur, 2021. "The Development of Decarbonisation Strategies: A Three-Step Methodology for the Suitable Analysis of Current EVCS Locations Applied to Istanbul, Turkey," Energies, MDPI, vol. 14(10), pages 1-21, May.
    17. Jane Rose Atwongyeire & Arkom Palamanit & Adul Bennui & Mohammad Shakeri & Kuaanan Techato & Shahid Ali, 2022. "Assessment of Suitable Areas for Smart Grid of Power Generated from Renewable Energy Resources in Western Uganda," Energies, MDPI, vol. 15(4), pages 1-31, February.
    18. Victor Gonzalez & Manuel Peralta & Juan Faxas-Guzmán & Yokasta García Frómeta, 2022. "Real-Time Environmental Monitoring Platform for Wellness and Preventive Care in a Smart and Sustainable City with an Urban Landscape Perspective: The Case of Developing Countries," Land, MDPI, vol. 11(10), pages 1-19, September.
    19. Dongli Chen & Degang Yang & Xinhuan Zhang & Yannan Zhao & Yufang Zhang, 2018. "Spatial Suitability Evaluation of an Arid City Based on the Perspective of Major Function Oriented Zoning: A Case Study of Urumqi City in Xinjiang, China," Sustainability, MDPI, vol. 10(9), pages 1-18, August.
    20. Anne Gobin & Le Thi Thu Hien & Le Trinh Hai & Pham Ha Linh & Nguyen Ngoc Thang & Pham Quang Vinh, 2020. "Adaptation to Land Degradation in Southeast Vietnam," Land, MDPI, vol. 9(9), pages 1-25, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:9:y:2020:i:11:p:402-:d:433825. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.