Land Cover Change Detection in Southern Brazil Through Orbital Imagery Classification Methods

Alba, J. M. Filippini; Schröder, Victor; Nóbrega, M. R.

doi:10.5772/36940

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…These are standard procedures for digital processing in land management (Filippini et al, 2012). These levels of information were included in the GIS environment by cropping the portion corresponding to the area of study.…”

Section: Methodology For the Analysis Of Thematic Informationmentioning

confidence: 99%

Palm Forest Landscape in Castillos (Rocha, Uruguay): Contributions to the Design of a Conservation Area

Rivas¹,

Filippini-Alba²,

Cunha³

et al. 2017

OJF

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Butia palm forests are considered unique due to their aesthetic value, high biodiversity level and historical, archaeological and cultural value. The lack of regeneration of butia palms caused by cattle overgrazing and natural grasslands replacement by agriculture endangers these palm forests. The aim of this work is to provide information for the proposal of a conservation area in this rural landscape within the framework of sustainable development. This work was developed within the context of a Geographic Information System with thematic information on palm forest density levels, soils, land use aptitude and rural registers. Field surveys were conducted to record the presence of plant species and genetic resources in different vegetation units. The main category of soil cover was natural grasslands, followed by native forests, wetlands and palm forests. Palm forests grow mainly on soil units with poor to rather poor drainage and on arable or non-arable lands under special conditions. We identified 212 farms where the palm forest is found, a high diversity of vegetation units, the presence of 302 native taxa of plants and a significant number of plant genetic resources for various uses. For the designation of a conservation area, we propose 20 priority farms that will ensure that palm forests are well represented regarding ecosystem diversity. We consider the creation of a Protected Landscape, a State Park or a GIAHS to be the best alternatives so as to protect this unique multifunctional landscape.

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Section: Methodology For the Analysis Of Thematic Informationmentioning

confidence: 99%

Palm Forest Landscape in Castillos (Rocha, Uruguay): Contributions to the Design of a Conservation Area

Rivas¹,

Filippini-Alba²,

Cunha³

et al. 2017

OJF

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“…The systematic and intelligent analyses of the remote sensing images provide a unique opportunity for understanding how, when, and where changes take place in our world. Precious information exploited from spatial repositories has been promoting benefits on many areas, such as agricultural [1,2] (forecast of harvests and soil erosion), hydric [3] (use of water resources and verification of the water quality), urban [4] (urban planning and demographic inferences), forest [5][6][7] (monitoring deforestation and biomass control), limnology [8] (characterization of aquatic vegetation and identification of water types), meteorology [9] (weather and climate studies), air traffic [10] (information for safety in the air), and national security [11] (military strategic planning of operations and missions).…”

Section: Introductionmentioning

confidence: 99%

Multiagent System for Image Mining

Freitas¹,

SantosSilva²

2017

Multi-Agent Systems

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The overdone growth, wide availability, and demands for remote sensing databases combined with human limits to analyze such huge datasets lead to a need to investigate tools, techniques, methodologies, and theories capable of assisting humans at extracting knowledge. Image mining arises as a solution to extract implicit knowledge intelligently and semiautomatically or other patterns not explicitly stored in the huge image databases. However, spatial databases are among the ones with the fastest growth due to the volume of spatial information produced many times a day, demanding the investigation of other means for knowledge extraction. Multiagent systems are composed of multiple computing elements known as agents that interact to pursuit their goals. Agents have been used to explore information in the distributed, open, large, and heterogeneous platforms. Agent mining is a potential technology that studies ways of interaction and integration between data mining and agents. This area brought advances to the technologies involved such as theories, methodologies, and solutions to solve relevant issues more precisely, accurately and faster. AgentGeo is evidence of this, a multiagent system of satellite image mining that, promotes advances in the state of the art of agent mining, since it relevant functions to extract knowledge from spatial databases.

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Land Cover Change Detection in Southern Brazil Through Orbital Imagery Classification Methods

Cited by 2 publications

References 8 publications

Palm Forest Landscape in Castillos (Rocha, Uruguay): Contributions to the Design of a Conservation Area

Palm Forest Landscape in Castillos (Rocha, Uruguay): Contributions to the Design of a Conservation Area

Multiagent System for Image Mining

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