Use of Remote Sensing Data for Landslide Change Detection

2012 ◽  
Vol 3 (1) ◽  
pp. 14-25 ◽  
Author(s):  
Stefania Pascale ◽  
Vittoria Pastore ◽  
Francesco Sdao ◽  
Aurelia Sole ◽  
Dimitri Roubis ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Areas ◽  
Remote Sensing Data ◽  
Agricultural Activity ◽  
Intrinsic Factors ◽  
Proposed Model ◽  
Historical Series ◽  
Remote Sensing Techniques ◽  
The Stability

Remote sensing techniques have been widely used since the 1990s in landslide research, deploying for this purpose different spatial and spectral resolution imagery. This research includes photo-interpretation and inventory of large landslides, determinant factors analysis, stereo-plotting of movements, and automatic detection by textural analysis. The potential or intrinsic factors of landslides include geological and morphological factors, while the external or triggering factors include earthquakes, climate, and hydrological and human activities (deforestation, the expansion of urban areas, and the increase of agricultural activity). In this paper, the variations of land use are analyzed using a historical series of aerial-photographic and satellite data (1988 – 2006). Land use affects the stability of landslides. In this paper the proposed model has been applied in the Montescagliso municipality (Basilicata, Southern Italy).

scholarly journals Possibilities of milpa identification in Yucatan through remote sensing techniques and Sentinel-2 data

10.29007/hbs2 ◽  
2019 ◽  
Author(s):  
Juan Carlos Valdiviezo-Navarro ◽  
Adan Salazar-Garibay ◽  
Karla Juliana Rodríguez-Robayo ◽  
Lilián Juárez ◽  
María Elena Méndez-López ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Food Sovereignty ◽  
Region Of Interest ◽  
Remote Sensing Data ◽  
Support Vector ◽  
Multispectral Images ◽  
Crop Fields ◽  
Remote Sensing Techniques ◽  
Sentinel 2

Maya milpa is one of the most important agrifood systems in Mesoamerica, not only because its ancient origin but also due to lead an increase in landscape diversity and to be a relevant source of families food security and food sovereignty. Nowadays, satellite remote sensing data, as the multispectral images of Sentinel-2 platforms, permit us the monitor- ing of different kinds of structures such as water bodies, urban areas, and particularly agricultural fields. Through its multispectral signatures, mono-crop fields or homogeneous vegetation zones like corn fields, barley fields, or other ones, have been successfully detected by using classification techniques with multispectral images. However, Maya milpa is a complex field which is conformed by different kinds of vegetables species and fragments of natural vegetation that in conjunction cannot be considered as a mono-crop field. In this work, we show some preliminary studies on the availability of monitoring this complex system in a region of interest in Yucatan, through a support vector machine (SVM) approach.

scholarly journals Urban Sprawl Assessment and Its Effect on Land Use Transformation in Varanasi City using Remote Sensing and GIS

2019 ◽  
Vol 9 (2) ◽  
pp. 1056-1061
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Sprawl ◽  
Urban Areas ◽  
Urban Expansion ◽  
Remote Sensing Data ◽  
Gis And Remote Sensing ◽  
Land Use Transformation ◽  
Vegetation Water ◽  
Almost All

This paper seeks to examine the effect of urbanization on changes in land use in the peri-urban areas of Varanasi city in India. The area of study is divided into six different classes of land use: built-up area, agriculture, vegetation, water bodies, sand and other land use. Using the maximum likelihood technique, Landsat 5 TM satellite data were used to identify land use and land cover changes from 1996 to 2017. The findings indicate a substantial increase in the built-up area, associated with reduced water and other land use cover. The urban sprawl is observed in almost all directions from the city boundaries, and along highways. Shannon’s entropy analysis reveals dispersed distribution of built-up area. The approach based on GIS and remote sensing data, together with statistical analysis, has proved instrumental in the analysis of urban expansion. It also helps to identify priority areas that require adequate planning for sustainable development.

scholarly journals Alterações na Paisagem e seus Efeitos Sobre as Áreas de Preservação Permanente em Bacias Hidrográficas no Nordeste do Estado do Pará

2020 ◽  
Vol 12 (7) ◽  
pp. 2729
Author(s):  
Adênio Miguel Silva da Costa ◽  
Aline Maria Meiguins de Lima ◽  
Milena Marília Nogueira de Andrade
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Urban Areas ◽  
Water Source ◽  
Forest Area ◽  
Federal Law ◽  
The Road ◽  
Remote Sensing Techniques ◽  
Area Of Influence

O objetivo desta pesquisa foi estudar os efeitos das alterações na paisagem sobre os recursos hídricos em bacias hidrográficas do nordeste paraense, como consequência do processo de urbanização e de mudanças de uso e cobertura da terra. Para tanto, foram selecionadas quatro mesobacias na porção mais populosa do estado, área de influência de sua capital Belém. Através da aplicação de técnicas de sensoriamento remoto, inicialmente, foi quantificada a área florestal por bacia, com imagens do satélite RapidEye, no período de 2011 a 2015; os resultados mostraram progressiva perda de área florestal nos quatro casos, sobretudo para as mesobacias dos rios Caraparu e Tauá. Em seguida, a estrutura da paisagem foi analisada mediante o uso da métricas, as quais revelaram aumento da fragmentação e diminuição das maiores machas; o que tem efeito direto sobre a biodiversidade desses habitats. Uma terceira etapa compreendeu a delimitação de áreas de preservação permanente (APP) e a análise de área de conflito de uso da terra em seu território, nos moldes das faixas marginais mínimas estipuladas pelo Código Florestal Brasileiro (Lei Federal nº 12.651/2012). Os dados evidenciaram que as APP de menor extensão, relacionadas a rios menores que 10 m, e aquelas ao redor de nascentes de cursos d’água são as mais afetadas pela processo de desenvolvimento urbano, já que estão mais próximas do centros das cidades e sob influência da malha viária. As informações mostraram a importância do monitoramento espacial das bacias hidrográficas no meio urbano, como auxílio ao planejamento e gestão dos recursos hídricos.  Changes in Landscape and its Effects on Permanent Preservation Areas in Hydrographic Basins in the Northeast of Pará State A B S T R A C TThe objective of this research was to study the effects of changes in the landscape on water resources in watersheds in northeastern Paraguay as a consequence of the urbanization process and changes in land use and land cover. Therefore, four mesobacias were selected in the most populous portion of the state, area of influence of its capital Belém. The application of remote sensing techniques initially quantified the forest area by basin, with images of the RapidEye satellite, during the 2011 to 2015; the results showed a progressive loss of forest area in the four cases, especially for the Mesobacias of the Caraparu and Tauá rivers. Then, the landscape structure was analyzed using metrics, which revealed increased fragmentation and decrease of the larger males; which has a direct effect on the biodiversity of these habitats. A third stage comprised the delimitation of permanent preservation areas (APP) and the analysis of the land use conflict area in its territory, according to the minimum marginal ranges stipulated by the Brazilian Forest Code (Federal Law nº 12.651/2012). The data showed that the smaller APP, related to rivers smaller than 10 m, and those around water source springs are the most affected by the urban development process, since they are closer to the cities' centers and under the influence of the road network. The information showed the importance of the spatial monitoring of watersheds in urban areas, as an aid to the planning and management of water resources.Keyworks: urbanization, land use change and land cover, remote sensing.

Monitoring land use change in the Lake Taupo catchment between 1975, 1990 and 2002 using satellite remote sensing data

2007 ◽  
pp. 17-22
Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Native Vegetation ◽  
Lake Water Quality ◽  
Livestock Farming ◽  
Slow Decline

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management

scholarly journals Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 312
Author(s):  
Barbara Wiatkowska ◽  
Janusz Słodczyk ◽  
Aleksandra Stokowska
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Landsat 8 ◽  
Rate Of Increase ◽  
Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

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