Day 1 :
Keynote Forum
Abdulkadir Mohammed
Department of Geography, Ibrahim Badamasi Babangida University, Lapai.
Keynote: ANALYSIS OF URBAN GROWTH AND AGRICULTURAL LAND USE OF KUTA IN SHIRORO L.G.A, NIGER STATE, NORTH-CENTRAL NIGERIA.
Time : 10:00-10:30
Biography:
Abdulkadir Mohammed has worked in Department of Geography, Ibrahim Badamasi Babangida University, Lapai.Niger State, Nigeria .He is examine the implication of urban growth encroachment on agricultural land, between 2005, 2010 and 2015 respectively Land-sat imageries of Kuta and its environs for 1990, 2001 and 2013 were acquired, processed and classified using GIS techniques.
Abstract:
The study explores the urban growth analysis on agricultural landuse in Kuta and its environs. The objectives of the research is to examine the implication of urban growth encroachment on agricultural land, between 2005, 2010 and 2015 respectively Land-sat imageries of Kuta and its environs for 1990, 2001 and 2013 were acquired, processed and classified using GIS techniques. The methods adopted in this research were maximum likelihood classification and area calculation in hectares for the various land use/land cover for each study year. The result shows that, in the year 2005 the built-up area was 1481.662 hectares and farmland was 36165.98 hectares, this indicates that urban area was very small and agricultural activity was at the peak in 1990. In the year 2010, the built-up area increased to 2584.641 hectares and agricultural land decreased to 20323.35 hectares. This indicates that urban growth was gradually taking place at the expense of agricultural land. In the year 2015, built-up area increased to 10074.373 hectares and agricultural land decreased to 16530.98 hectares. This shows that there was a significant change from 2001 to 2013 as urban area grows four times of its size, diminishing agricultural land. Result also shows that between 2005 and 2015, the rate of urban growth encroachment on agricultural land was 9.61%. It was found out that urban growth has more negative effects than positive effects on agricultural land. It was recommended that Government by way of policy should intensify efforts in preserving farmland from illegal occupation, in order to check the reduction of farmlands by human activities in Kuta and its environs, Shiroro Local Government of Niger State, Nigeria. Areas for further study may include effects of urban growth on Agricultural productivity and food security.
- Remote Sensing
Location: online
Session Introduction
Anar M Samedi
BSc in Geography from University of Calgary
Title: Analysis of the Outflow Channels on the Mars
Time : 10:30-11:00
Biography:
Anar M Samedi has received his BSc in Geography from University of Calgary, as well as degree in Population Health Sciences. His research interests include climate change, air quality and population respiratory health monitoring and his last research was conducted in conjunction with Health Canada. He has 10 publications to his credit
Abstract:
Traditionally, geography with the GIS tools was bound to modeling the surface of Earth. However, exploration of the extraterrestrial planets by various missions have led to creation of databases storing the models of extraterrestrial relief, images, and thematic maps. This case study is focused on creating the thematic map of the surface of the Mars, which outlines the hydrological features such as ancient river channels. The surface of the Mars contains numerous evidence of the past hydrologic activities, such as the outflow channels which indicate the downslope flow of the water. Capturing these channels in Kassei Valles was done using the digitizing method 1 and flow accumulation method 2 using the GIS software. Both methods have their own limitations, although given the higher spatial resolution the second method should produce more accurate results. Both methods rely on the concept of water flowing from areas of higher elevation to areas of lower elevation. Creating the hydrologic maps containing the outflow channels of the Martian surface using the improved version of the second method will allow for further understanding of the ancient fluvial processes that shaped the surface of the planet.
Andrzej Dlugonski
PhD at Warsaw University of Life Sciences
Title: Health condition of nature reserves in cities, and the health of residents? Example of Bielanski Forest in Warsaw (Poland) by using the latest remote sensing tools (Tree Crown Map)
Biography:
Andrzej DÅ‚ugoÅ„ski has completed his PhD at Warsaw University of Life Sciences (Poland) in landscape architecture discipline. He is a researcher at Intitute of Biological Sciences at Cardinal Stefan Wyszynski University in Warsaw, a mamber of Revitalization Commmete of Åódź City Office. He gained his experience during foreign sholarships at Department of Geography at HU Berlin, as well as as an co-organizer of design workshops at University of Lodz. His papers treat the problems on green spaces designing and revitalization in big cities. He also focuses on the analysis of the condition of the natural environment through site observation.
Abstract:
Urban nature reserves are an important reservoir of urban greenery with preserved natural vegetation and valuable tree species up to 400 years old (relics of the former Mazovian Forest), as is the case with forests in Warsaw, capital of Poland. They are also areas serving the local community as recreational places acting mostly the only places of greenery in a dense structure urban district of the city. The Bielański Forest in Warsaw (case study) is an example of natural greenery (area of 130.35 ha) as a buffer zone (green lungs) between Bielański Hospital complex, University (UKSW) and dense urban buildings of Bielany disrict. Despite nature protection of forest site (established in 1973) the given area fulfills important health and recreational functions. The aim of the research is to determine the health condition of forest trees by using the latest available remote sensing (RS) spatial data and indicator (Map of Tree Crowns in Warsaw, 2018; Normalized Difference Vegetation Index, NDVI). In addition, the impact on health and recreation functions of the forest area was examined. The results show selected parts of the forest particularly endangered to users, as well as, the most valuable areas that may prevent active and passive recreation. Moreover, due to poor management and legal restrictions of urban forests in Poland, this site is limited cultural or by usage diversity. Finally, the RS method can provide guidelines on how to change forest space to adapt it best to user needs, when applicable legal regulations for nature protection areas.
Azimollah Aleshzadeh
BA degree (2002) and MA degree (2007) from Sahand University of Technology, Iran
Title: GIS-Based Information Quantity Method for Landslide Susceptibility Mapping in The Uzundere Town, Northeastern Turkey
Biography:
Azimollah Aleshzadeh has completed his BA degree (2002) and MA degree (2007) from Sahand University of Technology, Iran. He is the PhD Candidate with “the investigation and the evaluation of landslide susceptibility of the Lake Tortum Landslide Dam Region (Uzundrer, Erzurum, Turkey)” titled doctoral thesis supervised by Assoc. Prof. E. Vural Yavuz at the Graduate School of Science Engineering & Technology at Istanbul Technical University.
Abstract:
Landslide susceptibility mapping is an essential tool for Landslide susceptibility studies. The main objective of this study is to produce a landslide susceptibility map at Uzundere Town, Erzurum, Turkey using the Information Quantity Method (IQM), one of the statistical probability approaches. At the first stage, landslide locations were identified in the study area by interpretation of aerial photographs, historical records and from multiple field surveys. Of the 42 landslides identified, 30 locations (≈70% of total landslide locations) were used for the modeling of landslide susceptibility map, while the remaining 12 locations (≈30% of total landslide locations) were used for the model validation. The landslide predisposition factors such as topographic relief, land type, general curvature, stream frequency, proximity to streams, distance to main road network, normalized difference water index (NDWI), rock mass, slope directional, slope in degree, terrain surface texture (TST), and distance from geological fault zone were extracted from the spatial database. Subsequently, the weights of each factor and landslide susceptibility map were produced using IQM. Finally, the ROC (receiver operating characteristic) curve for landslide susceptibility map was drawn and the areas under the curve (AUC) were calculated. The verification results showed AUC=75.89% and AUC=71.02% for success and prediction rates, respectively. According to the IQM, about 28.94% of the study area is located within high to very high susceptibility classes of landslides. Additionally, the resulted susceptibility map indicated that the most important factor of landslide occurrences was the proximity to streams, whereas the distance from geological fault zone played the least role in landslide susceptibility assessments. The landslide susceptibility map produced from this research can be useful for general land use planning and future hazard reduction in the study area.
Saima
MSc in Geology from University of Karachi
Title: HRS- Mineral Mapping/Signature development of Metallic minerals by Hyperspectral Remote Sensing in Uthal and Bella area, Balochistan, Pakistan
Biography:
I have completed my MSc in Geology from University of Karachi and doing MS in Remote sensing and Geoinformatics in Remote Sensing and Geoinformatics. I am Working as Assistant Director of Geological survey of Pakistan, Ministry of Energy, Pakistan.
Abstract:
The Lasbela-Khuzdar districts with an area of over 750 sq., km is two of the richest and most geologically complex regions of Pakistan and holds vast prospects of metallic and nonmetallic minerals (Iron, Copper, Chromite, Barite & Manganese) building and decorative stones. Igneous, sedimentary and metamorphic rocks of Mesozoic and Cenozoic ages dominate the lithostratigraphic exposures in the study area. Mineralizations are found in different tectonic settings; chromite, copper, manganese, magnesite in oceanic ophiolites and barite, lead, and zinc in the continental hot spots and rifts. Beside minerals the area has substantial potential for marble, granite, basalt, brecciated serpentinized rocks, quartzite, and variegated textured limestone suitable for use as building and decorative stones. Multispectral and hyperspectral remote sensing (HRS) have been commonly used for mineral mapping and resource exploration (van der Meer et al., 2012). Hyperspectral imagery has upheld its proficiency for thorough discrimination of various types of Earth surface materials due to hundreds of bands with high spectral resolution. Hyperspectral instruments have been gradually developed including airborne sensors such as AVIRIS and HyMAP, and spaceborne sensors such as EO-1 Hyperion. This research is meant to produce a new data combination of hyperspectral and multispectral remote sensing, geology, and field survey for mineral mapping and signature development. Total 250 ground points had been collected, 25 for barite, 90 for manganese, 71 for copper, 46 for iron and 29 for chromite in District Bella and Khuzdar. Signature for metallic and non-metallic minerals has been developed from Landsat 08 having seven bands (07) and hyperspectral (EO-1 Hyperion) image having 242 bands. Hyperspectral imaging is the concurrent acquisition of images in many fine, contiguous, spectral bands. HRS needs an intricate sequence of data processing. The study encompasses pre-processing, data reduction, Pixel Purity Index (PPI) and endmember extraction from reflectance image of surface minerals. A signature library & mineral map of District Bella and Khuzdar has been archived for metallic and non-mettalic mineral. Accuracy has been checked and verified by comparing with ground data that has been collected.
Sergio Colombo
senior researcher at IFAPA
Title: Estimation of olive grove surface area as a tool to identify the presence of vegetation cover
Biography:
Research activity of Dr. Sergio Colombo started about 20 years ago and has been carried out in several research centres such as university of Milán, University of Granada, University of Glasgow, University of Stirling and Centre of Choice Modelling in Sydney. Currently, Dr. Colombo is senior researcher at IFAPA, Junta de Andalusia, Spain. He has published more than 40 papers in reputed journals in the environmental and resource economics and agricultural policy fields. The use of GIS has been an overarching tool in his research to link results from the environmental economics field to policy making. Currently he is leading a project to identify vegetation cover in olive grove to be used in the forthcoming commong agricultural policy.
Abstract:
In the last decade, the use of vegetation covers on olive groves has been extended as a cultural practice. The use of vegetation cover in this cultivation is associated with a multitude of positive environmental effects, such as the reduction of soil erosion, the increase in biodiversity, the decrease in net greenhouse gas emissions and an improvement in the landscape aesthetic quality. In order to reward farmers who adopt vegetation covers, the public administration need to identify the olive plots where this cultural practice is used. In this context, due the huge extension of olive groves in Spain, the use of information from remote sensors may be a viable alternative, due to its wide spatio-temporal scope and low costs. A necessary previous step for the correct estimation of the presence of vegetation cover is the quantification of the olive crown area, since the spectral information of the olive canopies from remote sensors can be confused with the spectral information of the vegetation cover. The objective of this work is to present a methodology for the quantification of the crown area in a set of 31 olive groves. Data from drones, Laser Image Detection And ranging (LIDAR) and Sentinel 2 images have been used carrying out the analyzes in Qgis v. 3.10. Results show that the average percentage classification error is 4% either in the case of Sentinel 2 or LIDAR data. These reduced errors permit to withdraw the impact of olive trees from the multitemporal spectral curves of olive grove with vegetation cover, and thus to identify its presence and possibly quantify its amount.
Ashish Chalise
IT Maps and Consultant Pvt Ltd
Title: Mapping PM 2.5 Concentration with Satellite Based Remote Sensing Technology: A Case Study of Kathmandu, Nepal
Biography:
Ashish Chalise has completed his Engineering at the age of 22 years from Tribhuwan University. He is the employe of IT Maps and Consultant Pvt Ltd, a premier geospatial organization of Nepal. He has published several papers in reputed journals.
Abstract:
Air pollution has become a major issue of modern metropolitan because of industrial emission, urbanization and anthropogenic activities. Many air quality monitoring stations are established for measuring the pollution but these stations tend to be scarcely distributed and do not provide sufficient tools for mapping atmospheric pollution since air quality is highly variable. Satellite remote sensing is a valuable tool for assessing and mapping air pollution as satellite images are able to provide synoptic views of large areas in one image on a systematic basis due to the temporal resolution of the satellite sensors. This article investigates the relationship of PM 2.5 concentration an air pollution pattern with urban land use and with urban thermal landscape using a Remote sensing approach. Aerosol Optical Depth (AOD) being the measure of aerosols (e.g., urban haze, smoke particles, desert dust) distributed with in a column of air from the instrument (earth’s surface) to top of the atmosphere plays an effective role to alter the earth’s energy balance and hence the climate. The research focuses on relating satellite based AOD retrieval with the ground-based PM concentration. The European Satellite Agency (ESA) sentinel 5P aerosol index was used as satellite imagery for this research. Relationships among the spatial patterns of air pollution, with ground-based observation were sought through python and correlation analyses. Therefore, using better mathematical model air pollution assessment of place is detailed rather than virtual station.
Sintayehu Gebre
Department of Natural Resources Management Jimma University
Title: GIS and Remote Sensing Based Physical Land Suitability Analysis for Major Cereal Crops in Dabo Hana District, South-West Ethiopia
Biography:
Currently, he is Department of Natural Resources Management Jimma University P.O. box 307, Ethiopia .His international experience includes various programs, contributions and participation in different countries for diverse fields of study. His research interests reflect in his wide range of publications in various national and international journals. He is the Editorial Board Member of many Journals and serves as a member of various associations, apart from being an author for many books.
Abstract:
Land suitability analysis is a prerequisite for sustainable agricultural production. This study aimed at evaluating the current physical land suitability for major cereal crops of teff, wheat, barley and maize in the Dabo-Hana district, Bunno Bedelle Zone, Southwest of Ethiopia. To analyze the land suitability and land allocation for major cereal crops, GIS and RS application techniques were applied using a multi-criteria evaluation approach. Various physical parameters have been used as inputs for optimum agricultural land suitability analysis, namely; temperature, rainfall, altitude, slope, soil (soil depth, PH, texture, and drainage), land use land cover, accessibility to market and proximity to the road. In this analysis, an optimum physical land suitability map was developed for major selected cereal crops for the study area. The optimum vector overlay analysis results revealed that 8.4% and 11.3% of the land is highly suitable, and moderately suitable, for teff, wheat, and barley crop production respectively. Similarly, 2.4% of the land is moderately suitable for teff, wheat, barley, and maize. 12.4 % of the land is marginally suitable for teff, wheat, and maize. Therefore, we conclude that the suitability of land classification analysis reasonably assured that, more area of land is available which is suitable for agricultural productivity. This study report urges the concerned stakeholders to properly use and adopt precisely the optimum physical land suitability planning to expend the present land resources for more cereal crop productivity in a sustainable manner for better socio-economic development of the region in particular to Dabo Hana district. In the future, other comparative studies should analyze agricultural land suitability for other cereal crops and also including additional socio and biophysical factors for other cereal crops.