scholarly journals Agriculture Sprawl Assessment Using Multi-Temporal Remote Sensing Images and Its Environmental Impact; Al-Jouf, KSA

2019 ◽  
Vol 11 (15) ◽  
pp. 4177 ◽  
Author(s):  
Ahmed M. Youssef ◽  
Mazen M. Abu Abdullah ◽  
Biswajeet Pradhan ◽  
Ahmed F. D. Gaber
Keyword(s):  
Environmental Impact ◽  
Temporal Evolution ◽  
Warning Signs ◽  
Decision Makers ◽  
Landsat Images ◽  
Kingdom Of Saudi Arabia ◽  
High Rise ◽  
Agriculture Expansion ◽  
Multi Temporal ◽  
Gis Environment

In this paper, multispectral and multi-temporal satellite data were used to assess the spatial and temporal evolution of the agriculture activities in the Al-Jouf region, Kingdom of Saudi Arabia (KSA). In the current study, an attempt was made to map the agriculture sprawl from 1987 to 2017 using temporal Landsat images in a geographic information system (GIS) environment for better decision-making and sustainable agriculture expansion. Our findings indicated that the agriculture activities developed through two crucial stages: high and low rise stages. Low rise stages occurred during three sub-stages from April 1987 to April 1988, from September 1993 to August 1998, and from April 2008 to May 2015, with overall change rates of 37.9, 44.4, and 30.5 km2/year, respectively. High rise stages occurred during three sub-stages from April 1988 to February 1993, from September 2000 to March 2006, and from April 2016 to August 2017, with overall change rates of 132.4, 159.1, and 119.5 km2/year, respectively. Different environmental problems due to uncontrolled agriculture activities were observed in the area, including substantial depletion of the groundwater table. Another environmental impact observed was the appearance of sinkholes that occurred suddenly with no warning signs. These environmental impacts will increase in the future if no regulated restrictions are implemented by decision-makers.

scholarly journals Historical Changes in Land Use and Suitability for Future Agriculture Expansion in Western Bahia, Brazil

2021 ◽  
Vol 13 (6) ◽  
pp. 1088
Author(s):  
Fernando Martins Pimenta ◽  
Allan Turini Speroto ◽  
Marcos Heil Costa ◽  
Emily Ane Dionizio
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Suitability ◽  
Agricultural Area ◽  
Landsat Images ◽  
Historical Changes ◽  
Cropland Area ◽  
Irrigated Area ◽  
Agriculture Expansion ◽  
Forest Code

Western Bahia is a critical region in Brazil’s recent expansion of agricultural output. Its outstanding increase in production is associated with strong growth in cropland area and irrigation. Here we present analyses of Western Bahian historical changes in land use, including irrigated area, and suitability for future agricultural expansion that respects permanent protection areas and the limits established by the Brazilian Forest Code in the Cerrado biome. For this purpose, we developed a land use and land cover classification database using a random forest classifier and Landsat images. A spatial multicriteria decision analysis to evaluate land suitability was performed by combining this database with precipitation and slope data. We demonstrate that between 1990 and 2020, the region’s total agricultural area increased by 3.17 Mha and the irrigated area increased by 193,480 ha. Throughout the region, the transition between the different classes of land use and land cover followed different pathways and was strongly influenced by land suitability and also appears to be influenced by Brazil’s new Forest Code of 2012. We conclude that even if conservation restrictions are considered, agricultural area could nearly double in the region, with expansion possible mostly in areas we classify as moderately suitable for agriculture, which are subject to climate hazards when used for rainfed crops but are otherwise fine for pastures and irrigated croplands.

scholarly journals Integration of Satellite InSAR with a Wireless Network of Geotechnical Sensors for Slope Monitoring in Urban Areas: The Pariana Landslide Case (Massa, Italy)

2021 ◽  
Vol 13 (13) ◽  
pp. 2534
Author(s):  
Andrea Ciampalini ◽  
Paolo Farina ◽  
Luca Lombardi ◽  
Massimiliano Nocentini ◽  
Veronica Taurino ◽  
...  
Keyword(s):  
Urban Areas ◽  
Temporal Evolution ◽  
Monitoring Program ◽  
Slope Instability ◽  
Time Data ◽  
Public Authorities ◽  
Slope Movements ◽  
Multi Temporal ◽  
Slow Moving ◽  
Slope Monitoring

Slow to extremely slow landslides in urban areas may cause severe damage to buildings and infrastructure that can lead to the evacuation of local populations in case of slope accelerations. Monitoring the spatial and temporal evolution of this type of natural hazard represents a major concern for the public authorities in charge of risk management. Pariana, a village with 400 residents located in the Apuan Alps (Massa, Tuscany, Italy), is an example of urban settlement where the population has long been forced to live with considerable slope instability. In the last 30 years, due to the slope movements associated with a slow-moving landslide that has affected a significant portion of the built-up area, several buildings have been damaged, including a school and the provincial road crossing the unstable area, leading to the need for an installation of a slope monitoring system with early warning capabilities, in parallel with the implementation of mitigation works. In this paper, we show how satellite multi-temporal interferometric synthetic aperture radar (MT-InSAR) data can be effectively used when coupled with a wireless sensor network made of several bar extensometers and a borehole inclinometer. In fact, thanks to their wide area coverage and opportunistic nature, satellite InSAR data allow one to clearly identify the spatial distribution of surface movements and their long-term temporal evolution. On the other hand, geotechnical sensors installed on specific elements at risk (e.g., private buildings, retaining walls, etc.), and collected through Wi-Fi dataloggers, provide near real-time data that can be used to identify sudden accelerations in slope movements, subsequently triggering alarms. The integration of those two-monitoring systems has been tested and assessed in Pariana. Results show how a hybrid slope monitoring program based on the two different technologies can be used to effectively monitor slow-moving landslides and to identify sudden accelerations and activate a response plan.

Early stage variable rate nitrogen fertilization of silage maize driven by multi-temporal clustering of archive satellite data

2017 ◽  
Vol 8 (2) ◽  
pp. 288-292 ◽  
Author(s):  
R. Casa ◽  
F. Pelosi ◽  
S. Pascucci ◽  
F. Fontana ◽  
F. Castaldi ◽  
...  
Keyword(s):  
Satellite Data ◽  
Nitrogen Fertilization ◽  
Early Stage ◽  
Central Italy ◽  
N Fertilization ◽  
Yield Potential ◽  
Variable Rate ◽  
Landsat Images ◽  
Silage Maize ◽  
Multi Temporal

Nitrogen fertilization of silage maize in Central Italy is typically carried out with two applications at early stages of crop development: 2nd (V2) and 6th (V6) leaf respectively. In such conditions, the crop has not yet fully covered the soil and proximal or remote sensing of the canopy is hindered by the strong soil background signal. There is thus great interest in rapid and inexpensive approaches to N fertilization prescription. Therefore, an indirect method for inferring information on yield potential and soil variability, through a field-based clustering of multi-temporal satellite data, has been developed using archive Landsat images to identify temporally constant patterns. This method is potentially useful for the creation of prescription maps. The usefulness of the method was evaluated during an N fertilisation field trial in Maccarese (Central Italy), in 2016. At the V2 stage, both uniform and variable rate applications were performed and compared. A pseudo-cross variogram and a standardized ordinary co-kriging methodology was used to highlight spatially variable significant differences among the treatments.

scholarly journals Knowledge about Cervical Cancer Early Warning Signs and Symptoms, Risk Factors and Vaccination among Students at a Medical School in Al-Ahsa, Kingdom of Saudi Arabia

2014 ◽  
Vol 15 (6) ◽  
pp. 2529-2532 ◽  
Author(s):  
Abdulaziz Ahmed Al-Darwish ◽  
Abdullah Fouad Al-Naim ◽  
Khalid Saleh Al-Mulhim ◽  
Nasser Khaled Al-Otaibi ◽  
Mohammed Saad Morsi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cervical Cancer ◽  
Saudi Arabia ◽  
Medical School ◽  
Early Warning ◽  
Signs And Symptoms ◽  
Warning Signs ◽  
Kingdom Of Saudi Arabia ◽  
Early Warning Signs

scholarly journals The evolution of the housing sector in Saudi Arabia: تطور قطاع الإسكان في الاقتصاد السعودي

2019 ◽  
Vol 3 (10) ◽  
Author(s):  
AbdulHamed Saeed AlJerbi
Keyword(s):  
Saudi Arabia ◽  
Urban Housing ◽  
Decision Makers ◽  
Housing Sector ◽  
Kingdom Of Saudi Arabia ◽  
The Real Estate ◽  
Residential Sector ◽  
Real Estate Sector ◽  
Development Plans ◽  
International Investors

In this research we aim first to list the most important economical housing development factors and the most effective and decision makers in the Kingdom of Saudi Arabia, which emerges clearly in the reports of development plans that’s published by the ministry of economics and planning using the descriptive examination pattern that helps planning or investment authorities to build an image of the evolution of the sector and the Real Estate Sector Developers. We handled in the introduction the beginning of change and the evolution of urban housing through the steps of the Five -year plans since 1970. Then we based our study on the Publications and reports of the Five -year plans since the beginning of urban planning that started at 1970. in witch the researcher presumed it to be the Primary collimator for growth in the residential sector. With infuses on the reports of the Tenth Five -year plan which started at 2015 and which have been named (the challenge stage) by the Council of Economic and Development Affairs and in the script of the housing plan until 2020 within Saudi Arabia’s Vision program 2030. In conclusion, the paper recommended the infuses on the urban housing, and advantage from the governments' orientation towards local and international investors. and at the same time the paper recommended steering clear from the idle land's speculation.  

scholarly journals A Classification of Landuse using time series analysis of Kota Tinggi District ,Johor Bahru, Malaysia.

2019 ◽  
Vol 4 (1) ◽  
pp. 61-63
Author(s):  
Alhaji Mustapha Isa
Keyword(s):  
Climate Change ◽  
Thematic Mapper ◽  
Present Condition ◽  
Landsat Images ◽  
The Past ◽  
Global Environmental ◽  
Multi Temporal ◽  
Ground Truthing ◽  
Confusion Matrices

Deforestation and climate change have become global environmental issues. The detection of forest changes in association with climate change can be successfully carried out by the use of multi-temporal remote sensing and modelling. This study undertook analysis of the past and present condition of the forest from the pattern changes of the Kota tinggi district johor state Malaysia, using landsat images of three different periods. These are thematic mapper (TM) data of 1998; enhanced thematic mapper (ETM+) image of 2008 and the operation land imager (OLI) of 2018 were collectively used. The images were geometrically and atmospherically pre-processed then classified, using maximum likelihood (M/C) algorithm to produce thematic land use/cover maps of the district. The accuracy of the classification was assessed through ground truthing and confusion matrices which revealed an accuracy of above 90% and kappa coefficient at 0.9 respectively.

scholarly journals Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform

2021 ◽  
Vol 13 (22) ◽  
pp. 4683
Author(s):  
Masoumeh Aghababaei ◽  
Ataollah Ebrahimi ◽  
Ali Asghar Naghipour ◽  
Esmaeil Asadi ◽  
Jochem Verrelst
Keyword(s):  
Vegetation Index ◽  
Google Earth ◽  
Optimal Time ◽  
Quantitative Detection ◽  
Landsat 8 ◽  
Vegetation Types ◽  
Landsat Images ◽  
Multi Temporal ◽  
Google Earth Engine ◽  
Land Covers

Vegetation Types (VTs) are important managerial units, and their identification serves as essential tools for the conservation of land covers. Despite a long history of Earth observation applications to assess and monitor land covers, the quantitative detection of sparse VTs remains problematic, especially in arid and semiarid areas. This research aimed to identify appropriate multi-temporal datasets to improve the accuracy of VTs classification in a heterogeneous landscape in Central Zagros, Iran. To do so, first the Normalized Difference Vegetation Index (NDVI) temporal profile of each VT was identified in the study area for the period of 2018, 2019, and 2020. This data revealed strong seasonal phenological patterns and key periods of VTs separation. It led us to select the optimal time series images to be used in the VTs classification. We then compared single-date and multi-temporal datasets of Landsat 8 images within the Google Earth Engine (GEE) platform as the input to the Random Forest classifier for VTs detection. The single-date classification gave a median Overall Kappa (OK) and Overall Accuracy (OA) of 51% and 64%, respectively. Instead, using multi-temporal images led to an overall kappa accuracy of 74% and an overall accuracy of 81%. Thus, the exploitation of multi-temporal datasets favored accurate VTs classification. In addition, the presented results underline that available open access cloud-computing platforms such as the GEE facilitates identifying optimal periods and multitemporal imagery for VTs classification.

Design for maintainability tool for nano-façade coating applications on high-rise facades in the tropics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheila Conejos ◽  
Aristotle Ubando ◽  
Michael Yit Lin Chew
Keyword(s):  
Environmental Impact ◽  
Quantitative Methods ◽  
Design Stage ◽  
Design Decision ◽  
Safety Measures ◽  
Content Type ◽  
High Rise ◽  
Negative Environmental Impact ◽  
Design For Maintainability ◽  
Façade Coatings

PurposeThe self-cleaning properties of nanostructured titanium dioxide facade coatings are useful in Singapore's tropical climate. However, its potential maintenance issues need to be determined right at the design stage. The purpose of this paper is to highlight the development of the design for maintainability tool which is a multicriteria design decision score sheet that evaluates the maintainability potential of nano-facade coating applications on high-rise façades with concrete and stonemasonry finishes and curtain walls.Design/methodology/approachQuantitative methods (expert and practitioner surveys) are conducted in this research study. Analytic hierarchy process (AHP) and sensitivity analysis were used to develop a robust Design for Maintainability tool.FindingsSafety measures indicator received the highest weighted score by experts, while the maximizing performance, minimizing risk, minimizing negative environmental impact and minimizing consumption of matter and energy were the top ranking main criteria by both experts and practitioners. The top ranked design for maintainability sub-criteria identified by practitioners and experts were risk management, maintenance considerations, climatic conditions, safety measures, lifecycle cost and maintenance access, sun's path, rainfall intensity, biological growth measures and building age profile.Originality/valueMost researches on the maintainability of nano-façade coatings uses experimentation to test the durability of nano-façade coatings, while this study focuses on design based empirical data such as establishing and ranking the list of design for maintainability criteria or indicators to minimize future defects and maintenance issues. The design for maintainability tool contributes to the maintainability of nano-façade coatings leading to maximizing its performance while minimizing cost, risks, resource consumption and negative environmental impact.

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