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Multitemporal Analysis of Land Use and Land Cover within an Oil Block in the Ecuadorian Amazon
Content Provider | MDPI |
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Author | Llerena-Montoya, Sergio Velastegui-Montoya, Andrés Zhirzhan-Azanza, Bryan Herrera-Matamoros, Viviana Adami, Marcos de Lima, Aline Moscoso-Silva, Francisco Encalada, Luis |
Copyright Year | 2021 |
Description | The Ecuadorian Amazon is considered a biodiverse region, and at the same time contains the largest number of oil blocks and oilfields in the country. Oil exploitation requires the implementation of oil facilities and related infrastructure, such as roads, water, and energy supply, for operation. These large engineering works can alter the dynamics of the Amazonian natural ecosystems. This paper analyzes the land use and land cover (LULC) change and relates spatial patterns within an oil block located in the province of Orellana, Ecuador. The study was processed in two phases, the first corresponding to the collection and classification of LULC classes within the oil block. The second phase concerned the calculation of landscape metrics, with the purpose of quantitatively characterizing each class. This analysis was carried out for the pre-concession, post-concession scenarios of the oil block and the current scenario of the region. The results revealed that the low predominance of forest cover within the study region is not directly associated with the beginning of the Block 47 concession. On the other hand, a significant reduction of the Coca River was evidenced for the 2018 scenario. |
Starting Page | 191 |
e-ISSN | 22209964 |
DOI | 10.3390/ijgi10030191 |
Journal | ISPRS International Journal of Geo-Information |
Issue Number | 3 |
Volume Number | 10 |
Language | English |
Publisher | MDPI |
Publisher Date | 2021-03-23 |
Access Restriction | Open |
Subject Keyword | ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Remote Sensing Ecuadorian Amazon Lulc Oilfields Petroleum Exploration Spatiotemporal Analysis Landscape Metrics Environmental Impact |
Content Type | Text |
Resource Type | Article |