scholarly journals Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years

2021 ◽  
Vol 13 (22) ◽  
pp. 4636
Author(s):  
Jiao Wu ◽  
Zhijun Zhang ◽  
Qinjie He ◽  
Guorui Ma
Keyword(s):  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Net Primary Production ◽  
Remote Sensing Data ◽  
Temporal Analysis ◽  
The Past ◽  
Driving Mechanisms ◽  
Ecological Vulnerability ◽  
Average Annual Temperature ◽  
Spatio Temporal

The global ecological environment faces many challenges. Landsat thematic mapper time-series, digital elevation models, meteorology, soil types, net primary production data, socio-economic data, and auxiliary data were collected in order to construct a comprehensive evaluation system for ecological vulnerability (EV) using multi-source remote sensing data. EV was divided into five vulnerability levels: potential I, slight II, mild III, moderate IV, and severe V. Then, we analyzed and explored the spatio-temporal patterns and driving mechanisms of EV in the region over the past 20 years. Our research results showed that, from 2001 to 2019, the DRB was generally characterized as being in the severe vulnerability class, with higher upstream and downstream EV classes and a certain amount of reduction in the midstream EV classes. Moreover, EV in the DRB continues to decrease. The spatio-temporal EV patterns in the DRB were significantly influenced by the relative humidity, average annual temperature, and vegetation cover over the past 20 years. Our work can provide a basis for decision-making and technical support for ecosystem protection, ecological restoration, and ecological management in the DRB.

scholarly journals Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Peter M. Macharia ◽  
Emanuele Giorgi ◽  
Abdisalan M. Noor ◽  
Ejersa Waqo ◽  
Rebecca Kiptui ◽  
...  
Keyword(s):  
Plasmodium Falciparum ◽  
Malaria Control ◽  
Temporal Analysis ◽  
The Past ◽  
The Future ◽  
Spatio Temporal

scholarly journals Comparison of Land Surface Temperature During and Before the Emergence of Covid-19 using Modis Imagery in Wuhan City, China

2020 ◽  
Vol 34 (1) ◽  
Author(s):  
Hamim Zaky Hadibasyir ◽  
Seftiawan Samsu Rijal ◽  
Dewi Ratna Sari
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Anthropogenic Activities ◽  
Temporal Analysis ◽  
The Past ◽  
Modis Imagery ◽  
Rapid Transmission ◽  
The Mean ◽  
Spatio Temporal

Coronavirus disease (COVID-19) was firstly identified in Wuhan, China. By 23rd January 2020, China’s Government made a decision to execute lockdown policy in Wuhan due to the rapid transmission of COVID-19. It is essential to investigate the land surface temperature (LST) dynamics due to changes in level of anthropogenic activities. Therefore, this study aims (1) to investigate mean LST differences between during, i.e., December 2019 to early March 2020, and before the emergence of COVID-19 in Wuhan; (2) to conduct spatio-temporal analysis of mean LST with regards to lockdown policy; and (3) to examine mean LST differences for each land cover type. MODIS data consist of MOD11A2 and MCD12Q1 were employed. The results showed that during the emergence of COVID-19 with lockdown policy applied, the mean LST was lower than the mean LST of the past three years on the same dates. Whereas, during the emergence of COVID-19 without lockdown policy applied, the mean LST was relatively higher than the mean LST of the past three years. In addition, the mean LST of built-up areas experienced the most significant differences between during the emergence of COVID-19 with lockdown policy applied in comparison to the average of the past three years.

scholarly journals Detection of Geothermal Anomaly Areas with Spatio-temporal Analysis Using Multi-temporal Remote Sensing Data

2021 ◽  
pp. 1-1
Author(s):  
Shanwei Liu ◽  
Chuanlong Ye ◽  
Qinting Sun ◽  
Mingming Xu ◽  
Zhongfeng Duan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Temporal Analysis ◽  
Sensing Data ◽  
Multi Temporal ◽  
Spatio Temporal

Ecoregionalization assessment: Spatio-temporal analysis of net primary production across Ontario

Ecoscience ◽  
2002 ◽  
Vol 9 (2) ◽  
pp. 219-230 ◽  
Author(s):  
Rebecca N. Handcock ◽  
Ferenc Csillag
Keyword(s):  
Primary Production ◽  
Net Primary Production ◽  
Temporal Analysis ◽  
Spatio Temporal

scholarly journals Spatio-Temporal Analysis Of Urban Expansion And Future Growth Patterns Of Lahore, Pakistan

2021 ◽  
Vol 14 (3) ◽  
pp. 41-53
Author(s):  
Muhammad Nasar-u-Minallah ◽  
Sahar Zia ◽  
Atta-ur Rahman ◽  
Omer Riaz
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Population ◽  
Urban Expansion ◽  
Temporal Analysis ◽  
Growth Patterns ◽  
Land Use Land Cover ◽  
The Past ◽  
Spatio Temporal ◽  
Lahore City

Lahore, a metropolis and 2nd largest city of Pakistan, has been experiencing rapid urban expansion over the past five decades. The socio-economic development and growth of the urban population have caused the rapid increase of urban expansion. The increase in the built-up area of Lahore has seen remarkable growth during the past five decades. This study is aimed at detecting the Spatio-temporal changes in land use land cover and evaluating the urban expansion of Lahore since 1973. The conversion of land to other uses is primarily because of growth in urban population, whereas the increase in economic activities is the central reason for the land-use changes. In this study, temporal Landsat imageries were integrated with demographic data in the GIS environment to quantify the spatial and temporal dynamics of land use land cover (LULC) changes and urban expansion of Lahore city. The supervised image classification of maximum likelihood algorithm was applied on Landsat MSS (1973 and 1980), TM (1990), ETM+ (2000), TM (2010), and OLI/TIRs (2020) images, whereas a postclassification comparison technique was employed to detect changes over time. The spatial and temporal analysis revealed that during the past five decades, the built-up area of Lahore city has expanded by ~ 532 km2. It was found from the analysis that in Lahore city the urban expansion was primarily at the cost of loss of fertile agricultural land, vegetation, and other cultivable land use. The analysis further revealed that the structure and growth pattern of Lahore has mainly followed road network and linear expansion. The results indicate that this accretive urban expansion is attributed to socio-economic, demography, conversion of farmland, rural-urban migration, proximity to transportation routes, and commercial factors. This study envisions for decision-makers and urban planners to devise effective spatial urban planning strategies and check the growth trend of Lahore city.

scholarly journals Spatio Temporal Analysis Trend of Land Use and Land Cover Change Against Temperature Based on Remote Sensing Data in Malang City

2016 ◽  
Vol 227 ◽  
pp. 232-238 ◽  
Author(s):  
Purwanto ◽  
Dwiyono Hari Utomo ◽  
Bharadhian Rizki Kurniawan
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Remote Sensing Data ◽  
Temporal Analysis ◽  
Sensing Data ◽  
Spatio Temporal

scholarly journals Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran

2015 ◽  
Vol 18 (1) ◽  
pp. 35-52 ◽  
Author(s):  
Mohsen Dadras ◽  
Helmi Z.M. Shafri ◽  
Noordin Ahmad ◽  
Biswajeet Pradhan ◽  
Sahabeh Safarpour
Keyword(s):  
Remote Sensing ◽  
Urban Growth ◽  
Remote Sensing Data ◽  
Temporal Analysis ◽  
Sensing Data ◽  
Spatio Temporal ◽  
Bandar Abbas
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