scholarly journals Agriculture drought assessment based on remote sensing, cloud computing, multi-temporal analysis. A case study: the Mostiștea Plain (Romania)

2020 ◽  
Vol XIX (2) ◽  
pp. 158-164
Author(s):  
Andi Mihai Lazăr ◽  
Andreea Florentina Marin ◽  
Alexandru Nedelea
Keyword(s):  
Remote Sensing ◽  
Cloud Computing ◽  
Temporal Analysis ◽  
Drought Assessment ◽  
Multi Temporal

scholarly journals Remote Sensing in Predicting Development Patterns of Built-up Land

2021 ◽  
Vol 2 (2) ◽  
pp. 56-64
Author(s):  
Iqbal Eko Noviandi ◽  
Ramadhan Alvien Hanif ◽  
Hasanah Rahma Nur ◽  
Nandi
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Population Growth Rate ◽  
Landsat Imagery ◽  
Temporal Analysis ◽  
West Java ◽  
Development Patterns ◽  
Human Needs ◽  
Multi Temporal ◽  
Total Growth

Indonesia is a developing country whose construction and development are centered on the island of Java, especially in West Java Province. Sukabumi City is one of the areas in West Java. The development of urban areas is expanding due to various human needs to carry out the construction of buildings. Remote sensing that can be used to store developments with multi-temporal analysis with materials is Landsat imagery from 2001 to 2020. The method used is the Normalized Difference Built-up Index (NDBI). The purpose of this study is to map the development of the built-up land from year to year and predict the following years. The results of the research on the significant changes in built-up land occurred between 2013-2020, while from 2001 to 2013 there was not much change. Based on the research results, the total growth of built-up land was 1.539% per year with a population growth rate of 1.4% per year. The results of the analysis show that the area of ​​land built in Sukabumi City in 2028 is 186,7194 km2 or has increased by 21,2808 km2 since 2020.

Spatio-temporal Analysis of Shoreline Positional Change of Ondo State Coastline Using Remote Sensing and GIS: A Case Study of Ilaje Coastline at Ondo State in Nigeria

2021 ◽  
Author(s):  
Akinola Adesuji Komolafe ◽  
Paul Ayodeji Apalara ◽  
Matthew Olomolatan Ibitoye ◽  
Abiodun Olufemi Adebola ◽  
Idowu Ezekiel Olorunfemi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Temporal Analysis ◽  
Remote Sensing And Gis ◽  
Positional Change ◽  
Ondo State ◽  
Spatio Temporal

Integration of Satellite Remote Sensing Techniques and Landscape Metrics to Characterize Land Cover Change and Dynamics

2013 ◽  
pp. 228-244
Author(s):  
Carmelo Riccardo Fichera ◽  
Giuseppe Modica ◽  
Maurizio Pollino
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Landscape Metrics ◽  
Landsat Images ◽  
Aerial Photos ◽  
Multi Temporal ◽  
Urban Rural ◽  
Remote Sensing Techniques

One of the most relevant applications of Remote Sensing (RS) techniques is related to the analysis and the characterization of Land Cover (LC) and its change, very useful to efficiently undertake land planning and management policies. Here, a case study is described, conducted in the area of Avellino (Southern Italy) by means of RS in combination with GIS and landscape metrics. A multi-temporal dataset of RS imagery has been used: aerial photos (1954, 1974, 1990), Landsat images (MSS 1975, TM 1985 and 1993, ETM+ 2004), and digital orthophotos (1994 and 2006). To characterize the dynamics of changes during a fifty year period (1954-2004), the approach has integrated temporal trend analysis and landscape metrics, focusing on the urban-rural gradient. Aerial photos and satellite images have been classified to obtain maps of LC changes, for fixed intervals: 1954-1985 and 1985-2004. LC pattern and its change are linked to both natural and social processes, whose driving role has been clearly demonstrated in the case analysed. In fact, after the disastrous Irpinia earthquake (1980), the local specific zoning laws and urban plans have significantly addressed landscape changes.

Discharge estimation for medium-sized river using multi-temporal remote sensing data: a case study in Brazil

2020 ◽  
Vol 65 (14) ◽  
pp. 2402-2418
Author(s):  
Évelyn Márcia Pôssa ◽  
Philippe Maillard ◽  
Lília Maria de Oliveira
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Multi Temporal ◽  
Discharge Estimation

Multi-Temporal Analysis of Urbanization in Mountain Environment: a Case Study of Chongqing, China

2012 ◽  
Vol 468-471 ◽  
pp. 2155-2164
Author(s):  
Jing Dong Jiang ◽  
Jing Nan Huang ◽  
Ling Tian ◽  
Yong Liu
Keyword(s):  
Temporal Analysis ◽  
Underlying Mechanism ◽  
Rapid Urbanization ◽  
The Past ◽  
Natural Factors ◽  
Multi Temporal ◽  
Mountain Environment ◽  
Urbanization Pattern ◽  
Socio Economic Factors

Urbanization in Southwest China, an extensive mountainous region, has been unprecedentedly rapid in the past two decades, particularly with the implementation of “Great West Development”. However, most present studies on urbanization of Chinese cities are limited to coastal area. Little is known about the urbanization pattern and underlying mechanism in this region. The main purpose of this research is to analyze the process of rapid urbanization and its impact on mountain environment, using Chongqing, the well known “mountain city” in China, as an example. Four time-series satellite images were employed to extract the landscape data. The result was assessed by several “landscape metrics”. The research also investigated how complex natural factors as well as socio-economic factors exerted influence on the urbanization. Based on examination of present landscape, a planning model which was believed suitable for mountain urban development was proposed.

scholarly journals Fenômenos geofísicos, captados a partir de sensores orbitais: estimativa de temperatura na superfície de Garanhuns-PE / Geophysical phenomena, obtained from orbital sensors: estimation of temperature on the surface in Garanhuns-PE

2015 ◽  
Vol 26 (45) ◽  
pp. 95
Author(s):  
Felippe Pessoa De Melo ◽  
Rosemeri Melo e Souza ◽  
Maria Betânia Moreira Amador
Keyword(s):  
Remote Sensing ◽  
Thermal Behavior ◽  
Working Conditions ◽  
Temporal Analysis ◽  
Mitigation Measures ◽  
Anthropogenic Effects ◽  
Thematic Mapping ◽  
Multi Temporal ◽  
Vector Base ◽  
Anthropogenic Processes

<p>A presente pesquisa teve como finalidade realizar uma análise multitemporal, da termodinâmica da superfície de Garanhuns-PE. Para tanto, utilizou-se as geotecnologias do Sensoriamento Remoto e Sistemas de Informações Geográficas (SIG). Juntamente com as imagens oriundas do satélite Landsat 5, sensor TM, banda 6, referentes aos anos de 1987, 2001 e 2010. Disponibilizadas pelo Instituto Nacional de Pesquisas Espaciais (INPE). A base vetorial, foi disponibilizada pelo Instituto Brasileiro de Geografia e Estatística (IBGE). Sendo assim, foi possível confeccionar um banco de dados georreferenciados e geocronológicos, o qual, viabilizou o mapeamento temático. Possibilitando, compreender o comportamento térmico dos alvos no transcorrer do tempo. Dados esses que são de suma importância para traçar medidas de mitigação dos efeitos antropogênicos na paisagem. Logo, ficou evidenciado que a maximização das médias termais no transcorrer das décadas, foram reciprocas aos processos antropogênicos</p><p> </p><p><strong>Palavras–chave:</strong> termodinâmica, geotecnologias, mapeamento temático, mitigação.</p><p> </p><p><strong>Abstract </strong></p><p>This research aimed to realize a multi-temporal analysis, the surface of thermodynamics in Garanhuns-PE. For this, it used the geotechnologies of Remote Sensing and Geographic Information Systems (GIS). Along with the images coming from the Landsat 5 satellite, TM sensor, band 6, referring to the years 1987, 2001 and 2010. Disclosed by the National Institute for Space Research (INPE). The vector base, was available by the Brazilian Institute of Geography and Statistics (IBGE). Thus, it was possible to confection a georeferenced database and geochronological, which, enabled the thematic mapping. Making it possible to understand the thermal behavior of the targets in the course of time. These data are of paramount importance to draw mitigation measures of the anthropogenic effects in the landscape. Soon, it was evident that the maximization of the hot medium in the course of decades, were reciprocal to anthropogenic processes.<strong> </strong></p><p><strong>Keywords</strong>: garbage collectors, recycling, working conditions, Association.</p><p> </p>

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