@article{Burgueño2023,

title = {Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin},

author = {A. M. Burgueño and J. F. Aldana-Martín and M. Vázquez-Pendón and C. Barba-González and Y. J. Gómez and V. E. García-Millán and I. Navas-Delgado},

url = {https://doi.org/10.1186/s40537-023-00770-z},

doi = {https://doi.org/10.1186/s40537-023-00770-z},

year  = {2023},

date = {2023-06-02},

journal = {Journal of Big Data},

volume = {10},

number = {91},

abstract = {The production of land cover maps is an everyday use of image classification applications on remote sensing. However, managing Earth observation satellite data for a large region of interest is challenging in the task of creating land cover maps. Since satellite imagery is getting more precise and extensive, Big Data techniques are becoming essential to handle the rising quantity of data. Furthermore, given the complexity of managing and analysing the data, defining a methodology that reduces the complexity of the process into different smaller steps is vital to data processing. This paper presents a Big Data methodology for creating land cover maps employing artificial intelligence algorithms. Machine Learning algorithms are contemplated for remote sensing and geodata classification, supported by explainable artificial intelligence. Furthermore, the process considers aspects related to downloading data from different satellites, Copernicus and ASTER, executing the pre-processing and processing of the data in a distributed environment, and depicting the visualisation of the result. The methodology is validated in a test case for er map of the Mediterranean Basin.},

keywords = {Geotechnology, Land and soil},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Long-term assessment of the effectiveness of coastal protection regulations in conserving natural habitats in Spain},

author = {G. Martorell-Guerrero and D. Rodríguez-Rodríguez and V. E. García-Millán},

url = {https://www.sciencedirect.com/science/article/pii/S0964569123001266},

doi = {https://doi.org/10.1016/j.ocecoaman.2023.106601},

year  = {2023},

date = {2023-05-15},

journal = {Ocean & Coastal Management},

volume = {239},

abstract = {Spain has undergone rapid socioeconomic development in the past three decades. This has been linked to massive residential and infrastructural development based on a short-term, profitable and resource-intensive consuming model. As a result, large amounts of agricultural, natural and semi-natural soils have been lost to artificial areas, especially around main cities and on the coast. In this study, we assessed the effectiveness of the Spanish Shores Act at preventing land development in two biogeographical regions and three administrative scales between 1988 and 2020 using a BACI design and remote sensing data. We also analysed the combined effect of other regulations to prevent land development on the coast. The Shores Act was effective in reducing land development although moderate to substantial land development occurred in the zones affected by the Law, especially in the Mediterranean region. Adding other sectoral regulations to the Shores Act notably and consistently reduced land development across regions. Among them, cumulative protected area (PA) regulations were most effective in reducing coastal land development. The use of satellite images, especially Sentinel 2A MSI data within a BACI design, proved a useful method for assessing the effectiveness of fine-scale objectives of environmental policies such as the Shores Act.},

keywords = {Conservation and management, Environmental conservation, Geotechnology, Land and soil, Pressures, Tourism},

pubstate = {published},

tppubtype = {article}

}

@article{García-Millán2022,

title = {Identification of Priority Forest Conservation Areas for Critically Endangered Lemur Species of Madagascar},

author = {V. E. García-Millán and D. Rodríguez-Rodríguez and A. Martín Oncina and A. Andrianarimisa and L. O. Randriamiharisoa and G. Martorell-Guerrero and A. Bóveda and D. Abdul-Malak},

url = {https://doi.org/10.3390/land11091455},

doi = {https://doi.org/10.3390/land11091455},

year  = {2022},

date = {2022-09-01},

urldate = {2022-09-01},

journal = {Land},

volume = {11},

number = {1455},

issue = {9},

abstract = {Forests have extraordinary importance for the conservation of endemic species in Madagascar. However, they are disappearing fast due to a number of pressures, notably unsustainable agricultural practices leading to aggravated status of biodiversity. Here, we used a number of ecological and spatial criteria to identify and prioritise unprotected forest areas for the conservation of the eight critically endangered species of lemur belonging to the Lemuridae family in Madagascar. By combining spatial information layers on the distribution areas of the studied lemurs, forest extension and conservation status, and potential human impacts (such as roads, human settlements and agriculture lands), it was possible to identify the most appropriate sites for the expansion of the conservation areas of critically endangered lemur species. Seven new sites, totalling over 33,000 ha, were identified as priority sites for the protection of those species. All of them were adjacent to or inside (just one site) existing protected areas (PAs), which likely makes their protection both feasible and socioeconomically efficient by enlarging those PAs. Legally protecting these sites would not only take Madagascar one little step ahead for meeting oncoming global biodiversity targets for 2030 but could also make a substantial contribution to the mid-term survival of the studied lemur species.},

keywords = {Biodiversity, Conservation and management, Environmental conservation, Forest, Geotechnology, Protected areas},

pubstate = {published},

tppubtype = {article}

}