Monitoring changes in land cover/use by CORINE methodology using aerial photographs and IKONOS satellite images: a case study for Kemer, Antalya, Turkey

Image segmentation is fundamental prerequisite for new satellite images interpretation methods. GIS GRASS provides segmentation tools enabling global image segmentation only. We designed procedure enabling local segmentation using existing GRASS tools and segmentation algorithm based on region growing that we developed with C++. This algorithm applies mathematical morphology operators to output segments, too. Principial aim of the project is creation of useful input for differentiation of base land cover classes in panchromatic high-resolution satellite image (or historical aerial photographs for example).

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LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC

Boletim de Ciências Geodésicas ◽

10.1590/s1982-21702018000200015 ◽

2018 ◽

Vol 24 (2) ◽

pp. 217-234 ◽

Cited By ~ 2

Author(s):

Rodrigo de Campos Macedo ◽

Abdon Luiz Schmitt Schmitt Filho ◽

Joshua C. Farley ◽

Alfredo Celso Fantini ◽

Ademir Antonio Cazella ◽

...

Keyword(s):

Land Use ◽

Land Cover ◽

Spatial Resolution ◽

Temporal Resolution ◽

Large Scale ◽

Aerial Survey ◽

Aerial Photographs ◽

High Temporal Resolution ◽

Land Cover Mapping

Abstract: It is challenging to reconcile large scale data with the dynamic characteristics present in land use. Such dynamism requires data with a high repetition of sampling. An alternative is the integration of data of high spatial resolution and low temporal resolution, with that of high temporal resolution and low spatial resolution. The aim addressed in this article is related to the integration of aerial photographs and temporal series for land use and land cover mapping in high detail scale. We conducted a case study in Santa Rosa de Lima-SC. The main data used was the aerial survey that overlaid the state of Santa Catarina, executed in 2010/2011. The interpretation key included typical elements of photointerpretation (color, texture, size, shape), aiming to classify the land use and land cover classes. The mapping evaluation resulted in 75.6% global accuracy, ranging from 54% (Grassland and Wetlands) to 96% (Water Bodies and Rocks). Such results are considered satisfactory. The integration of high-resolution images with high temporal resolution data has enabled the discrimination between classes that present great difficulties of separability. Such discrimination is essential in the territorial management processes of Encosta da Serra and the municipality of Santa Rosa de Lima.

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Influences of Environmental Drivers on Land Cover Structure and its Long-Term Changes: a Case Study of the Villages of Malachov and Podkonice in Slovakia / Vliv Environmentálních Podmínek Na Strukturu Krajinného Pokryvu A Její Dlouhodobé Změny: Případová Studie Obcí Malachov A Podkonice Na Slovensku

Moravian Geographical Reports ◽

10.2478/mgr-2014-0016 ◽

2014 ◽

Vol 22 (3) ◽

pp. 29-41 ◽

Cited By ~ 6

Author(s):

Michal Druga ◽

Vladimír Falťan

Keyword(s):

Land Cover ◽

Land Cover Change ◽

Linear Models ◽

Arable Land ◽

Aerial Photographs ◽

Environmental Drivers ◽

Cadastral Maps ◽

Cover Class

Abstract The influence of environmental drivers on long-term land cover changes in two mountainous villages in Central Slovakia is assessed in this paper using generalized linear models (GLM). Historical cadastral maps and aerial photographs were analyzed to describe the land cover change over five time horizons ranging from 1860 to the present, using the CORINE Land Cover classification. The hypothesis that higher slope, elevation and distance to settlement strongly influence lower intensities of land use was mostly confirmed, but geology was also identified as an important factor. The category of ‘forests’ was the most accounted for land cover class, while arable land and grassland were only considerably affected by the drivers in some periods. On the other hand, shrubs were almost completely unrelated to the investigated drivers. The areas of land cover change were not so well explained by the GLMs.

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