Spatio-temporal analysis of prodelta dynamics by means of new satellite generation: the case of Po river by Landsat-8 data

Terroir is one of the core concepts associated with wine and presumes that the land from which the grapes are grown, the plant habitat, imparts a unique quality that is specific to that growing site. Additionally, numerous factors can influence yeast diversity, and terroir is among the most relevant. Therefore, it can be interesting to use Remote Sensing tools that help identify and give helpful information about the terroir and key characteristics that define the AOP (Appellation of Origin). In this study, the NDVI (Normalized Difference Vegetation Index) calculated from Landsat 8 imagery was used to perform a spatio-temporal analysis during 2013, 2014, and 2015 of several vineyards belonging to four different AOP in Galicia (Spain). This work shows that it is possible to use Remote Sensing for AOP delimitation. Results suggest: (i) satellite imagery can establish differences in terroir, (ii) the higher the NDVI, the higher the yeast species richness, (iii) the relationship between NDVI, terroir, and yeasts shows a stable trend over the years (Pearson’s r = 0.3894, p = 0.0119).

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Spatio-temporal analysis of land cover changes in the evergreen and semi-evergreen rainforests: A case study in Chittagong Hill Tracts, Bangladesh

International Journal of Forestry, Ecology and Environment ◽

10.18801/ijfee.020220.10 ◽

2020 ◽

Vol 2 (2) ◽

pp. 87-99

Author(s):

M. Mamnun ◽

S. Hossen

Keyword(s):

Land Use ◽

Land Cover ◽

Agricultural Land ◽

Temporal Analysis ◽

Present Condition ◽

Land Cover Changes ◽

Landsat 8 ◽

Chittagong Hill Tracts ◽

Barren Land ◽

Spatio Temporal

The main purpose of this study is to describe the spatio-temporal analysis of land use and land cover status and to identify land cover changes, especially of deforestation and degradation in evergreen, semi-evergreen rainforests of Chittagong Hill Tracts from 1988-2018 by using Landsat 8 OLI-TIRS and Landsat 5 TM satellite imagery. The ArcGIS v10.5 and ERDAS Imagine v15 software were used to process satellite imageries and assess quantitative data for land-use change assessment of this study area. The study revealed that the area of forest land and water body decreased by 17.92% and 5.43% respectively from 1988-2018. On the other hand, the area of agricultural land, barren land and settlement increased by 45.66%, 312.08% and 240.01% respectively. If the present condition remains constant, the projection of future land-use/ land cover changes for the next 15 years will predict that more than 7.37% dense forest (2253.83 ha) land will be decreased and 19.60% agricultural will be converted to other land uses. This study suggests that proper policy should be adopted urgently to conserve residual forest coverage and restore it to regain its past appearance.

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Análise Multitemporal dos Lençóis Maranhenses Entre 1984 a 2014 Utilizando Sensoriamento Remoto Orbital (Spatio-Temporal Analysis of Lençóis Maranhenses Between 1984 and 2014 Using Orbital Remote Sensing)

Revista Brasileira de Geografia Física ◽

10.26848/rbgf.v9.1.p280-295 ◽

2016 ◽

Vol 9 (1) ◽

pp. 280

Author(s):

Thiago Diniz Araujo ◽

Eliana Lima da Fonseca

Keyword(s):

Remote Sensing ◽

Near Infrared ◽

Temporal Dynamics ◽

Coastal Dunes ◽

Temporal Analysis ◽

Landsat 8 ◽

Infrared Band ◽

Trade Winds ◽

Multi Temporal ◽

Spatio Temporal

A análise multitemporal possibilita comparar uma mesma paisagem entre dois ou mais períodos, auxiliando no monitoramento das suas dinâmicas. O objetivo deste artigo foi analisar a dinâmica de caráter espaço-temporal do Parque Nacional dos Lençóis Maranhenses, mapeando as mudanças do sistema dunário a partir de imagens de satélite, no período de 1984 a 2014. Para esta análise foram utilizadas imagens de satélite adquiridas pelos sensores TM-Landsat 5 e OLI-Landsat 8. A borda limite do parque, na parte interior do continente, foi vetorizada para o ano inicial e final da análise, gerando mapas com o deslocamento das dunas no período de 31 anos o que permitiu identificar as áreas de avanço e retração do sistema dunário. A área total de avanço das dunas foi de 23,69 km² enquanto que a retração apresentou 14,95 km². Identificou-se expansão das dunas do litoral em direção ao interior do continente no sentido nordeste - sudoeste, seguindo a circulação dos ventos alísios. Foram selecionados quatro pontos de observações onde foram monitoradas as mudanças na cobertura do solo a partir da variação anual dos valores de reflectância da superfície na banda do infravermelho próximo, permitindo identificar o tipo de mudança quanto o tempo de ocorrência das mesmas. A B S T R A C T The multi-temporal analysis allows comparing the same landscape between two or more time periods, assisting in the monitoring of its dynamics. The objective of this study were to analyze the spatio-temporal dynamics of the Parque Nacional dos Lençóis Maranhenses, mapping the changes in the dunes system using satellite imagery, from 1984 to 2014. For this analysis were used satellite images acquired by TM-Landsat 5 and OLI-Landsat 8 sensors. The park boundary, in the inner part of the continent, was vectored for the initial and final year of analysis, generating maps with the changes in the dunes locations in the 31 years period identified the forward areas and retraction and areas. The total area of advancement of dunes was 23.69 km² while the downturn area was 14.95 km². It was identified expansion of coastal dunes toward the interior of the continent towards northeast - southwest, following the movement of trade winds. Were selected four points of observations which were monitored changes in land cover from the annual change of the surface reflectance values in the near infrared band, allowing identify both the type of change and its time of occurrence.Keywords: remote sensing, environmental monitoring, migration of sediment.

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