A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands
Climate change and human actions condition the spatial distribution and structure of vegetation, especially in drylands. In this context, object-based image analysis (OBIA) has been used to monitor changes in vegetation, but only a few studies have related them to anthropic pressure. In this study,...
| Main Authors: | , , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
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MDPI
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/7351 |
| _version_ | 1789406348222398464 |
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| author | Guirado Hernández, Emilio Blanco Sacristán, Javier Rigol Sánchez, Juan Pedro Alcaraz Segura, Domingo Cabello Piñar, Francisco Javier |
| author_facet | Guirado Hernández, Emilio Blanco Sacristán, Javier Rigol Sánchez, Juan Pedro Alcaraz Segura, Domingo Cabello Piñar, Francisco Javier |
| author_sort | Guirado Hernández, Emilio |
| collection | DSpace |
| description | Climate change and human actions condition the spatial distribution and structure of vegetation, especially in drylands. In this context, object-based image analysis (OBIA) has been used to monitor changes in vegetation, but only a few studies have related them to anthropic pressure. In this study, we assessed changes in cover, number, and shape of Ziziphus lotus shrub individuals in a coastal groundwater-dependent ecosystem in SE Spain over a period of 60 years and related them to human actions in the area. In particular, we evaluated how sand mining, groundwater extraction, and the protection of the area affect shrubs. To do this, we developed an object-based methodology that allowed us to create accurate maps (overall accuracy up to 98%) of the vegetation patches and compare the cover changes in the individuals identified in them. These changes in shrub size and shape were related to soil loss, seawater intrusion, and legal protection of the area measured by average minimum distance (AMD) and average random distance (ARD) analysis. It was found that both sand mining and seawater intrusion had a negative effect on individuals; on the contrary, the protection of the area had a positive effect on the size of the individuals’ coverage. Our findings support the use of OBIA as a successful methodology for monitoring scattered vegetation patches in drylands, key to any monitoring program aimed at vegetation preservation. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-7351 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-73512023-04-12T18:57:29Z A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands Guirado Hernández, Emilio Blanco Sacristán, Javier Rigol Sánchez, Juan Pedro Alcaraz Segura, Domingo Cabello Piñar, Francisco Javier arid zones drylands object-based seawater intrusion soil loss time series classification very high-resolution images Ziziphus lotus Cabo de Gata-Níjar Natural Park Southeast Spain Climate change and human actions condition the spatial distribution and structure of vegetation, especially in drylands. In this context, object-based image analysis (OBIA) has been used to monitor changes in vegetation, but only a few studies have related them to anthropic pressure. In this study, we assessed changes in cover, number, and shape of Ziziphus lotus shrub individuals in a coastal groundwater-dependent ecosystem in SE Spain over a period of 60 years and related them to human actions in the area. In particular, we evaluated how sand mining, groundwater extraction, and the protection of the area affect shrubs. To do this, we developed an object-based methodology that allowed us to create accurate maps (overall accuracy up to 98%) of the vegetation patches and compare the cover changes in the individuals identified in them. These changes in shrub size and shape were related to soil loss, seawater intrusion, and legal protection of the area measured by average minimum distance (AMD) and average random distance (ARD) analysis. It was found that both sand mining and seawater intrusion had a negative effect on individuals; on the contrary, the protection of the area had a positive effect on the size of the individuals’ coverage. Our findings support the use of OBIA as a successful methodology for monitoring scattered vegetation patches in drylands, key to any monitoring program aimed at vegetation preservation. 2020-01-16T09:39:54Z 2020-01-16T09:39:54Z 2019-11-13 info:eu-repo/semantics/article 2072-4292 http://hdl.handle.net/10835/7351 en https://www.mdpi.com/2072-4292/11/22/2649 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | arid zones drylands object-based seawater intrusion soil loss time series classification very high-resolution images Ziziphus lotus Cabo de Gata-Níjar Natural Park Southeast Spain Guirado Hernández, Emilio Blanco Sacristán, Javier Rigol Sánchez, Juan Pedro Alcaraz Segura, Domingo Cabello Piñar, Francisco Javier A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands |
| title | A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands |
| title_full | A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands |
| title_fullStr | A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands |
| title_full_unstemmed | A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands |
| title_short | A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands |
| title_sort | multi-temporal object-based image analysis to detect long-lived shrub cover changes in drylands |
| topic | arid zones drylands object-based seawater intrusion soil loss time series classification very high-resolution images Ziziphus lotus Cabo de Gata-Níjar Natural Park Southeast Spain |
| url | http://hdl.handle.net/10835/7351 |
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