Spatio-Temporal Analysis of Gaza Strip Shoreline Using GIS and Remote Sensing

2018 ◽  
Vol 26 (1) ◽  
pp. 14-21
Author(s):  
M El-Hallaq ◽  
M Odwan
Keyword(s):  
Remote Sensing ◽  
Gaza Strip ◽  
Temporal Analysis ◽  
Gis And Remote Sensing ◽  
Spatio Temporal

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

scholarly journals Drought Risk Assessment in the Khushab Region of Pakistan Using Satellite Remote Sensing and Geospatial Methods

2019 ◽  
Vol 10 (1) ◽  
pp. 48-56 ◽  
Author(s):  
Muhammad Khubaib Abuzar ◽  
Muhammad Shafiq ◽  
Syed Amer Mahmood ◽  
Muhammad Irfan ◽  
Tayyaba Khalil ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Social Life ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Standardized Precipitation Index ◽  
Temporal Analysis ◽  
Agricultural Drought ◽  
Natural Phenomenon ◽  
Drought Risk ◽  
Gis And Remote Sensing

Drought is a harmful and slow natural phenomenon that has significant effects on the economy, social life,agriculture and environment of the country. Due to its slow process it is difficult to study this phenomenon. RemoteSensing and GIS tools play a key role in studying different hazards like droughts. The main objective of the study wasto investigate drought risk by using GIS and Remote Sensing techniques in district Khushab, Pakistan. Landsat ETMimages for the year 2003, 2009 and 2015 were utilized for spatial and temporal analysis of agricultural andmeteorological drought. Normalized difference vegetation index (NDVI) Standardized Precipitation Index (SPI) andrainfall anomaly indices were calculated to identify the drought prone areas in the study area. To monitormeteorological drought SPI values were used and NDVI was calculated for agricultural drought. These indices wereintegrated to compute the spatial and temporal drought maps. Three zones; no drought, slight drought and moderatedrought were identified. Final drought map shows that 30.21% of the area faces moderate drought, 28.36% faces slightdrought while nearly 41.3% faces no drought situation. Drought prevalence and severity is present more in the southernpart of Khushab district than the northern part. Most of the northern part is not under any type of drought. Thus, anoverall outcome of this study shows that risk areas can be assessed appropriately by integration of various data sourcesand thereby management plans can be prepared to deal with the hazard.

scholarly journals Mapeamento do Uso e Ocupação do Solo no Município de Belém de São Francisco-PE nos Anos de 1985 e 2010 (Mapping of Use and Occupancy of Soil in Town of Belém de São Francisco-PE in Years of 1985 and 2010)

2015 ◽  
Vol 7 (5) ◽  
pp. 859 ◽  
Author(s):  
Janaina Maria Oliveira de Assis ◽  
Ludmilla Oliveira Calado ◽  
Werônica Meira Souza ◽  
Maria do Carmo Sobral
Keyword(s):  
Remote Sensing ◽  
San Francisco ◽  
Supervised Classification ◽  
Bare Soil ◽  
Geographic Information ◽  
Gis And Remote Sensing ◽  
Landsat 5 Tm ◽  
Spatio Temporal ◽  
The City

R E S U M O Este artigo tem como objetivo mapear o uso e ocupação do solo no município de Belém de São Francisco, localizado na mesorregião do São Francisco, Pernambuco, na porção semiárida do nordeste brasileiro. Foram utilizadas ferramentas de Sistemas de Informações Geográficas (SIGs) e técnicas de sensoriamento remoto. Foi realizada uma classificação não-supervisionada do uso e ocupação do solo, onde foi feita a identificação de quatro temas: corpos d’água, vegetação densa, vegetação rasteira e solo exposto/área urbana, nos diferentes anos de 1985 e 2010. As imagens utilizadas foram do sensor Landsat 5 TM, coletadas no acervo de imagens do INPE. Os mapas foram elaborados no software ArcGIS 10.1, utilizando o sistema de coordenadas Sirgas2000, no fuso 24S. Os resultados mostraram diferentes fases de uso e ocupação do solo, apresentando diferentes causas de sua variação espaço-temporal, incluindo mudanças nos recursos hídricos, na vegetação e consequentemente na ocupação urbana do município.    A B S T R A C T This article aims to map the use and occupation of land in the city of Bethlehem in San Francisco , located in the middle region of the San Francisco PE in semiarid northeastern part of Brazil . Geographic Information Systems ( GIS ) and remote sensing tools were used . Water bodies , dense vegetation , low vegetation and bare soil / urban area in different years 1985 and 2010 : methodology as a non - supervised classification of the use and occupation of land , where the identification of four themes was done was done. The images used were from Landsat 5 TM , collected in the collection of images from INPE . The maps were drawn with ArcGIS 10.1 software , using SIRGAS2000 coordinate system , the spindle 24S . The results showed different phases of use and occupation of land , with different causes of their spatio-temporal variation , including changes in water resources , vegetation and consequently the urban occupation of the city .Keywords: Use and land cover, remote sensing, geographic information system.  

scholarly journals SPATIO-TEMPORAL DYNAMIC OF LAND DEGRADATION USING REMOTE SENSING-BASED INDEX

AGROFOR ◽  
2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Seyed Hamidreza SADEGHI ◽  
Fahimeh MIRCHOOLI ◽  
Abdulvahed KHALEDI DARVISHAN
Keyword(s):  
Remote Sensing ◽  
Land Degradation ◽  
Net Primary Productivity ◽  
Temporal Analysis ◽  
Mean Value ◽  
Annual Rainfall ◽  
Landsat Images ◽  
Policy Makers ◽  
Use Efficiency ◽  
Spatio Temporal

Land degradation is the major issue which affect watershed sustainability and following social, economic and environmental of livelihood people. So, early detection of land degradation is necessary for policy-makers to make appropriate decision. In this way, remote sensing method is a candidate choice for assessments and monitoring. In this study, land degradation was assessed using Rain-Use Efficiency (RUE) in the Shazand Watershed, Iran in 1986, 1998, 2008 and 2016. Thus, annual rainfall was calculated using inverse distance weight (IDW), net primary productivity (NPP) were calculated using Landsat images. The results indicated that RUE had increasing and then decreasing trends which were 10.66, 33.77, 20.03 and 9.47 kg C ha-1 yr-1. The results also illustrate that the mean value of RUE in different land uses varied between the irrigated land and orchard that had the highest value and outcrop dominant areas and bareland had the lowest value of RUE among land use categories. It is also established that spatio-temporal analysis of RUE can provide valuable information about the trend of watershed’s sustainability over years.

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