Quality sustaining vegetation index for natural resources monitoring using satellite images
Nowadays, natural resource monitoring represents an actual and challenging research topic in the context of the new climate neutrality strategies. In this paper, we design a composite index for assessing natural resources such as lands that can sustain vegetation. We also implement a cloud computing...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-11-01
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| Series: | Engineering Science and Technology, an International Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098624002337 |
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| author | Ana-Maria Tudorescu Catalin Negru Bogdan-Costel Mocanu Florin Pop |
| author_facet | Ana-Maria Tudorescu Catalin Negru Bogdan-Costel Mocanu Florin Pop |
| author_sort | Ana-Maria Tudorescu |
| collection | DOAJ |
| description | Nowadays, natural resource monitoring represents an actual and challenging research topic in the context of the new climate neutrality strategies. In this paper, we design a composite index for assessing natural resources such as lands that can sustain vegetation. We also implement a cloud computing solution based on the microservice architecture that allows the monitoring of natural resources such as water, soil, and vegetation using satellite products provided by SentinelHub. The images are processed to obtain NDWI (Normalized Difference Water), BSI (Bare Soil), NDVI (Normalized Difference Vegetation), and NDMI (Normalized Difference Moisture) index values. Furthermore, we compute the quality composite index for the specified area based on the previously mentioned indexes. Moreover, comparisons can be made between various years chosen by the user. The solution can be deployed in a Cloud Computing environment, is scalable due to multiple replicas of the used services, reliable due to the cache service that saves already processed indexes in a database, reducing the dependency on SentinelHub, and is secure due to various protection measures against SQL and Denial of Service (DoS) attacks. |
| format | Article |
| id | doaj-art-72c7e9ef33aa481981f0ba0c0b82dddb |
| institution | Kabale University |
| issn | 2215-0986 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering Science and Technology, an International Journal |
| spelling | doaj-art-72c7e9ef33aa481981f0ba0c0b82dddb2024-11-15T06:12:02ZengElsevierEngineering Science and Technology, an International Journal2215-09862024-11-0159101847Quality sustaining vegetation index for natural resources monitoring using satellite imagesAna-Maria Tudorescu0Catalin Negru1Bogdan-Costel Mocanu2Florin Pop3National University of Science and Technology POLITEHNINCA Bucharest, RomaniaNational University of Science and Technology POLITEHNINCA Bucharest, Romania; Corresponding author.National University of Science and Technology POLITEHNINCA Bucharest, RomaniaNational University of Science and Technology POLITEHNINCA Bucharest, Romania; National Institute for Research & Development in Informatics ICI Bucharest, Romania; Romanian Academy of Scientists, Bucharest, RomaniaNowadays, natural resource monitoring represents an actual and challenging research topic in the context of the new climate neutrality strategies. In this paper, we design a composite index for assessing natural resources such as lands that can sustain vegetation. We also implement a cloud computing solution based on the microservice architecture that allows the monitoring of natural resources such as water, soil, and vegetation using satellite products provided by SentinelHub. The images are processed to obtain NDWI (Normalized Difference Water), BSI (Bare Soil), NDVI (Normalized Difference Vegetation), and NDMI (Normalized Difference Moisture) index values. Furthermore, we compute the quality composite index for the specified area based on the previously mentioned indexes. Moreover, comparisons can be made between various years chosen by the user. The solution can be deployed in a Cloud Computing environment, is scalable due to multiple replicas of the used services, reliable due to the cache service that saves already processed indexes in a database, reducing the dependency on SentinelHub, and is secure due to various protection measures against SQL and Denial of Service (DoS) attacks.http://www.sciencedirect.com/science/article/pii/S2215098624002337Distributed processingMonitoringNatural resourceQuality sustaining vegetation indexSatellite image processing |
| spellingShingle | Ana-Maria Tudorescu Catalin Negru Bogdan-Costel Mocanu Florin Pop Quality sustaining vegetation index for natural resources monitoring using satellite images Engineering Science and Technology, an International Journal Distributed processing Monitoring Natural resource Quality sustaining vegetation index Satellite image processing |
| title | Quality sustaining vegetation index for natural resources monitoring using satellite images |
| title_full | Quality sustaining vegetation index for natural resources monitoring using satellite images |
| title_fullStr | Quality sustaining vegetation index for natural resources monitoring using satellite images |
| title_full_unstemmed | Quality sustaining vegetation index for natural resources monitoring using satellite images |
| title_short | Quality sustaining vegetation index for natural resources monitoring using satellite images |
| title_sort | quality sustaining vegetation index for natural resources monitoring using satellite images |
| topic | Distributed processing Monitoring Natural resource Quality sustaining vegetation index Satellite image processing |
| url | http://www.sciencedirect.com/science/article/pii/S2215098624002337 |
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