SPATIO-TEMPORAL ANALYSIS OF LANDSCAPE PATTERNS IN THE CATOLÉ WATERSHED, NORTHERN MINAS GERAIS1

ABSTRACT The aim of this study was to quantify the spatio-temporal changes in land use/ cover (LULC), as well as analyze landscape patterns over a 20-year period (1995 - 2015) in the Catolé watershed, northern Minas Gerais State, using landscape metrics. The LULC maps were obtained using Landsat 5 and 8 data (Processing level 1) through supervised classification using the maximum likelihood classifier. Seven thematic classes were identified: dense vegetation, sparse vegetation, riparian vegetation, cropland, planted forest, bare soil, and water. From the LULC maps, classes related to the natural landscape (dense, sparse, and riparian vegetation) were grouped into forest patches, which was then ordered by size: very small (< 5 ha); small (5 - 10 ha); medium (10 - 100 ha); large (100 ha); and a general class (no distinction of patch size). Then, metrics of area, size and density, edge, shape, proximity and core area were calculated. The dense vegetation portion of the study area decreased considerably within a given time, while the portion of cropland and bare soil increased. Overall, in the Catolé river basin, the total area of natural vegetation decreased by 3,273 hectares (4.62%). Landscape metrics analysis exhibited a reduction in the number of very small patches, although the study area was still considered as fragmented. Moreover, a maximum edge distance of 50 m is suggested for conducting studies involving core area metrics in the Catolé watershed, as values above this distance would eliminate the very small patches.

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Spatio-temporal evolutional characteristics of landscape patterns in the Loess Plateau in China — A landscape metrics-based assessment

2015 Fourth International Conference on Agro-Geoinformatics (Agro-geoinformatics) ◽

10.1109/agro-geoinformatics.2015.7248094 ◽

2015 ◽

Cited By ~ 1

Author(s):

Liying Guo ◽

Liping Di

Keyword(s):

Loess Plateau ◽

Landscape Metrics ◽

Landscape Patterns ◽

The Loess Plateau ◽

Spatio Temporal

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Monitoring and Landscape Quantification of Uncontrolled Urbanisation in Oasis Regions: The Case of Adrar City in Algeria

Contemporary Urban Affairs ◽

10.25034/ijcua.2021.v5n2-5 ◽

2021 ◽

Vol 5 (2) ◽

pp. 209-219

Author(s):

Assoule Dechaicha ◽

Adel Daikh ◽

Djamel Alkama

Keyword(s):

Landscape Metrics ◽

Satellite Images ◽

Methodological Approach ◽

Monitoring And Evaluation ◽

Temporal Analysis ◽

Multi Temporal ◽

Spatio Temporal ◽

Landsat Satellite ◽

Landscape Transformations ◽

The City

Nowadays, uncontrolled urbanisation is one of the major problems facing Algerian oasis regions. The monitoring and evaluation of its landscape transformations remain a key step for any oasis sustainability project. This study highlights the evolution of spatial growth in the city of Adrar in southern Algeria during the period 1986-2016 by establishing a Spatio-temporal mapping and landscape quantification. The methodological approach is based on a multi-temporal analysis of Landsat satellite images for 1986, 1996, 2006 and 2016, and the application of landscape metrics. The results show two opposite spatial trends: significant growth of built-up areas against an excessive loss of palm groves. The landscape metrics allowed the identification of a progressive fragmentation process characterising the palm groves. Thus, the findings of this study show the utility of satellite imagery and landscape metrics approach for monitoring urbanisation patterns and assessing their impacts on oasis ecosystems.

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Spatio-Temporal Analysis Using Urban-Rural Gradient Modelling and Landscape Metrics

Computational Science and Its Applications - ICCSA 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21928-3_8 ◽

2011 ◽

pp. 103-118 ◽

Cited By ~ 15

Author(s):

Marco Vizzari

Keyword(s):

Landscape Metrics ◽

Temporal Analysis ◽

Urban Rural ◽

Spatio Temporal

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Landscape Patterns Affect Precipitation Differing across Sub-climatic Regions

Sustainability ◽

10.3390/su10124859 ◽

2018 ◽

Vol 10 (12) ◽

pp. 4859

Author(s):

Qinghui Wang ◽

Yu Peng ◽

Min Fan ◽

Zheng Zhang ◽

Qingtong Cui

Keyword(s):

Ecosystem Management ◽

Landscape Metrics ◽

Arid Regions ◽

Landscape Patterns ◽

Core Area ◽

Area Index ◽

Climatic Regions ◽

Daily Precipitation Data ◽

Total Core Area ◽

Semi Arid

Assessment of the impacts of landscape patterns on regional precipitation will help improve ecosystem management and strategies for adaption to global changes. This study aimed to identify the key landscape metrics that affect precipitation across three sub-climatic regions in Inner Mongolia, China, using 266 landscape metrics and daily precipitation data from 38 weather stations for 1995, 2000, 2005, and 2015. Pearson correlation, stepwise linear regression, and Redundancy analysis were used to identify the contributions of landscape patterns to local precipitation in each sub-climatic region. Three-year datasets were used for model development and a one-year data set was used for validation. It was found that the contribution of landscape patterns is higher than that of climatic variations in semi-arid or humid regions. The Core Area Coefficient of Variance (CACoV) of grasslands and Landscape Area (TLA) in non-irrigated croplands have a negative relationship with precipitation in arid regions. Further, the Total Core Area Index (TCAI) of grasslands has a negative correlation with precipitation, while the area proportion (C%LAND) in waters has a significant positive relationship with precipitation in semi-arid regions. Additionally, the Mean Core Area (MCA), Core Area (CA), and Core Area Standard Deviation (CASD) of grasslands and Total Core Area Index (TCAI) of waters are negatively related to precipitation in humid regions. Suitable land use configuration and composition, especially the proportion of grasslands and waters, should be considered in ecosystem management for alleviating the possible harmful effects due to climate change.

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DINÂMICA DO USO E COBERTURA DA TERRA DO MUNICÍPIO DE FLORESTA, PE

FLORESTA ◽

10.5380/rf.v43i4.27931 ◽

2013 ◽

Vol 43 (4) ◽

pp. 611 ◽

Cited By ~ 1

Author(s):

Emanuel Araújo Silva ◽

Rinaldo Luiz Caraciolo Ferreira ◽

José Antônio Aleixo da Silva ◽

Iêdo Bezerra Sá ◽

Simone Mirtes Araújo Duarte

Keyword(s):

Land Use ◽

Riparian Vegetation ◽

Forest Cover ◽

Urban Expansion ◽

Bare Soil ◽

Water Bodies ◽

Anthropogenic Pressure ◽

Dynamic Changes ◽

Dense Vegetation ◽

The City

Objetivou-se mapear a dinâmica de mudança do uso da terra e da cobertura florestal no período de 21 anos (1987 a 2008), no município de Floresta, PE. Foram utilizadas imagens de satélite LANDSAT 5 nos períodos de 1987, 1997 e 2008. Utilizou-se o aplicativo SPRING para elaboração da base de dados cartográficos e do processamento digital das imagens. As imagens foram segmentadas e classificadas pelo algoritmo de Bhattacharya, com a finalidade de produzir mapas temáticos nos seguintes usos da terra: vegetação densa, vegetação semidensa, solo exposto, agropecuária (cultivos/pecuária), corpos d´água e mata ciliar. Para um período de 21 anos, a cobertura florestal recuou 14,83%. O solo exposto teve um ganho de 8,61%, a classe agropecuária acumulou um ganho de 5,75%, os corpos d’água, ao longo do tempo, demonstraram um aumento de 4,03% e a mata ciliar teve tendência à queda ao longo dos períodos analisados, com uma perda total de 3,57%. Esses dados refletem as transformações por que o município de Floresta vem passando quanto ao uso da terra. A diminuição da cobertura florestal do município entre 1987 e 2008 foi a principal consequência da interação clima e pressão antrópica por recursos florestais, necessidade de expansão urbana e atividades agropecuárias.Palavras chave: Sensoriamento remoto; gestão florestal; semiárido; caatinga. AbstractUse dinamics and land cover in Floresta-PE. The objective was to map the dynamic changes of land use and forest cover in the last 21 years (1987 to 2008), the City of Forest-PE. We used satellite images LANDSAT 5 periods in 1987, 1997 and 2008. We used the SPRING software for compiling the database and cartographic processing of digital images. The images were segmented and classified by the algorithm Bhattacharya, in order to produce thematic maps in the following land uses: dense vegetation, semi-dense vegetation, bare soil, agriculture (crops / livestock), water bodies and riparian vegetation. For a period of 21 years the forest cover decreased by 14.83%. The soil was exposed to a gain of 8.61%, the class agricultural accumulated gain of 5.75%, water bodies, over time, showed an increase of 4.03% and riparian tended to fall over the periods analyzed with a total loss of 3.57%. These data reflect the changes that the city has been experiencing as of forest land use. The decrease in forest cover between 1987 and 2008 the city was the main consequence of the interaction of climate and anthropogenic pressure forest resources, need for urban expansion and agricultural activities.Keywords: Remote sensing; forest management; semiarid; caatinga.

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Spatio-temporal Analysis of Anthropogenic Disturbances on Landscape Pattern of Tourist Destinations: a case study in the Li River Basin, China

Scientific Reports ◽

10.1038/s41598-019-55532-w ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 2

Author(s):

Yunyun Xiang ◽

Jijun Meng ◽

Nanshan You ◽

Peixiong Chen ◽

Hui Yang

Keyword(s):

River Basin ◽

Spatial Differentiation ◽

Temporal Analysis ◽

Anthropogenic Disturbances ◽

Landscape Patterns ◽

Recreation Ecology ◽

Tourist Destinations ◽

Spatio Temporal ◽

Disturbance Model ◽

The Impact

AbstractThe impact of human-related activities on the eco-environment of tourist destinations is an important part of recreation ecology research. However, traditional studies have mainly concentrated on the static influences upon the simple factors of soil or vegetation in tourist destinations, and the relationship between anthropogenic disturbances and landscape patterns is little understood. In this study, we constructed a disturbance model on a landscape scale to identify and quantify the main anthropogenic disturbances. The overall variation coefficient (OVC) index is defined as the intensity of different disturbance sources, and landscape structure analysis methods are used for temporal and spatial differentiation, which is applied in the Li River Basin, China. Three typical types of human-related activities are identified as possible anthropogenic disturbance sources in the region, and their notable influential spheres are determined. Then, the dynamic changes in tourism disturbance in two periods and the spatial distribution characteristics related to three factors are explored. The results suggest that settlement and tourism disturbances have exerted considerable impacts on landscape patterns, and the differentiation characteristics are closely related to local tourism development policies and patterns. The disturbance model could be applied in other tourism destinations and provide countermeasures for regional tourism management.

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Spatio-temporal analysis and prediction of landscape patterns and change processes in the Central Zagros region, Iran

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2019.100244 ◽

2019 ◽

Vol 15 ◽

pp. 100244 ◽

Cited By ~ 3

Author(s):

Mohsen Japelaghi ◽

Mehdi Gholamalifard ◽

Kamran Shayesteh

Keyword(s):

Temporal Analysis ◽

Landscape Patterns ◽

Change Processes ◽

Spatio Temporal ◽

Zagros Region

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ANÁLISE ESPAÇO-TEMPORAL DA COBERTURA VEGETAL EM UMA BACIA HIDROGRÁFICA NA REGIÃO DO MATOPIBA, BRASIL

Nativa ◽

10.31413/nativa.v6i0.5843 ◽

2018 ◽

Vol 6 ◽

pp. 737

Author(s):

Luciano Cavalcante de Jesus França ◽

João Batista Lopes Da Silva ◽

Gerson Dos Santos Lisboa ◽

Danielle Piuzana Mucida ◽

Clebson Lima Cerqueira ◽

...

Keyword(s):

Vegetation Cover ◽

Environmental Planning ◽

Vegetation Index ◽

Temporal Analysis ◽

Hydrographic Basin ◽

Sparse Vegetation ◽

Dense Vegetation ◽

Original Vegetation ◽

Environmental Agencies ◽

Basin Area

A bacia hidrográfica do rio Uruçuí-Preto, Piauí, com área de 15.777 Km², vem caracterizando-se ao longo dos últimos 30 anos pela expansão do agronegócio, integrando a fronteira agrícola do MATOPIBA, composta por Maranhão, Tocantins, Piauí e Bahia. Este estudo objetivou avaliar a mudança da cobertura vegetal nesta bacia hidrográfica entre 1984 a 2015. Utilizou-se imagens dos sensores TM e OLI dos satélites Landsat 5 e 8, respectivamente, para elaboração de mosaicos e realce da vegetação por meio do Índice de Vegetação da Diferença Normalizada (IVDN), para obtenção da evolução da mudança na cobertura da terra. Procedeu-se a classificação supervisionada (Máxima Verossimilhança), em cinco classes: solo exposto, área antropizada, vegetação rala, vegetação esparsa e vegetação densa. Os resultados atestaram intensa antropização na área analisada. Em 1984, a classe solo exposto correspondia a 390,3 km² do total da área da bacia, com aumento em 2015 para 1.498,20 km². Em 1984 existiam 7.743,2 km² de cobertura vegetal original, reduzida em 2015, para 3.487,40 km², com redução de 45,03% da classe de vegetação densa. Este estudo pode auxiliar em estratégias de atuação dos órgãos ambientais e planejamento ambiental para o desenvolvimento do agronegócio em consonância com a conservação dos recursos naturais, sobretudo no MATOPIBA.Palavras-chave: IVDN, desmatamento, Cerrado, sensoriamento remoto, Uruçuí-preto. SPACE-TEMPORAL ANALYSIS OF VEGETABLE COVERAGE IN A HYDROGRAPHIC BASIN OF THE REGION OF MATOPIBA, BRAZIL ABSTRACT:The hydrographic basin of the Uruçuí-Preto river, Piauí, with an area of 15.777 km², has been characterized over the last 30 years by agricultural expansion, integrating the agricultural frontier of MATOPIBA, composed of the states of Maranhão, Tocantins, Piauí and Bahia. The objective of this study was to evaluate the change in the vegetation cover in this basin from 1984 to 2015. Images of the TM and OLI sensors of the Landsat 5 and 8 satellites, respectively, were used to elaborate mosaics and vegetation enhancement through the Vegetation Index (IVDN), to obtain the evolution of the change in land cover. The supervised classification (Maximum Likelihood) was carried out in five classes: exposed soil, anthropic area, sparse vegetation, sparse vegetation and dense vegetation. The results showed intense anthropization in the analyzed area. In 1984, the exposed soil class corresponded to 390.3 km² of the total basin area, with an increase in 2015 to 1,498.20 km². In 1984 there were 7,743.2 km² of original vegetation cover, reduced in 2015, to 3,487.40 km², with a reduction of 45.03% of the class of dense vegetation. This study can aid in strategies for the performance of state environmental agencies and environmental planning in order to reconcile the development of agribusiness with the conservation of natural resources.Keywords: NDVI, deforestation, Cerrado, remote sensing, Uruçuí-preto.

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