Muneeb A. Profile

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Κάτι πήγε στραβά. Παρακαλούμε ανανέωσε τη σελίδα και δοκίμασε ξανά.

Επιτυχώς επαληθευμένο Email.

$10 USD / ώρα

lahore,

pakistan

$10 USD / ώρα

Τώρα είναι 11:42 π.μ. εδώ

Έγινε μέλος Ιουλίου 13, 2017

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Muneeb A.

@MUNEEBAAMIR

0,0

(0 αξιολογήσεις)

0,0

$10 USD / ώρα

lahore,

pakistan

$10 USD / ώρα

Μ/Δ

Ολοκληρωμένες Δουλειές

Μ/Δ

Εντός Προϋπολογισμού

Μ/Δ

Εντός Χρόνου

Μ/Δ

Βαθμός Επανάληψης Πρόσληψης

Geospatial Expert

Result Driven and resourceful scientist with more than 4 years hands-on technical experience in GIS and Remote Sensing Tools. Proven skills in pre-feasibility studies of Hydro-Powers, Suitable Site Selection, extension of canals projects, analysis and applications using software suits like ArcGIS, ERDAS, Global Mapper, ENVI, Geomatica, Agisoft Metashape and Autocad 2007 & 2017. Influential in performing digital image processing and its analysis to depict maximum possible, precise and accurate land cover and land use. Excellent aerial mapping skills, with ability to pre-plan the flight missions and execute on different terrains using Dji Phantom 4 Pro V 2.0 Drone. Analytical and creative planner with exceptional report writing skills. Adept at isolating research challenges and devising solutions to cater issues.

Προβολή όλων Graphic Designers σε Pakistan

Επικοινώνησε με τον/την Muneeb A. για τη δουλειά σου

Συνδέσου για να συζητήσεις τις λεπτομέρειες μέσω τις συνομιλίας.

Πορτφόλιο

Development of Highly accurate Digital Elevation Model and Digital Surface Model from Drone Data to depict actual spatial elevations on the surface of Earth for the Planning and execution of Civil Works. Following is a Picture Attached of Digital Surface Model:

Preparation of Digital Elevation Model

Drone Mapping

Conversion of CAD drawings in SHP files were done during the task.

CAD to SHP Files

The task was to Change Detection using High Resolution Satellite imagery. This detailed task was completed by me in 2 days.

Land Use and Land Cover Maps

Preparation of Digital Elevation Model

Drone Mapping

CAD to SHP Files

Land Use and Land Cover Maps

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Εμπειρία

The Spatio

Σεπ 2018 - Οκτ 2019 (1 χρόνο, 1 μήνας)

Developed, integrated and Implemented GIS and Geodesy based Topographic Survey Plans under different Hydro-Power Projects in Northern Pakistan, Extension of Canal Projects to increase its capacity in Sindh-Balochistan, Analysis of Suitable Site Selection for different development sites by using Drone for Aerial Mapping and their detailed pre-feasibility studies with different softwares, to analyse and interpret spatial data to produce interacting Maps and Reports while ensuring quality control.

The Urban Unit

Οκτ 2015 - Οκτ 2018 (3 χρόνια)

Deployed GIS-based system under Urban Immovable Property Tax (UIPT) for Punjab Excise & Taxation Department. Provided comprehensive support in creating the system while take advantage of software suites like ArcGIS Suite and ERDAS Imagine. Prepared communicating maps to help surveyors in Analyzing geo-spatial data to verify it during ground truthing. Created shapefiles to merge topographical data with external data through layering process.

Εκπαίδευση

Master of Philosophy in Geographic Information System

University of the Punjab, Lahore,

Pakistan

2015 - 2017

(2 χρόνια)

Bachelors in Geographic Information System

University of the Punjab, Lahore,

Pakistan

2011 - 2015

(4 χρόνια)

Προσόντα

TEVTA

2017

MS-Office Certification in MS-Word, Excel and Power Point.

Εκδόσεις

Analysis of Flood Damage Assessment through Different Satellite Datasets in Southern Punjab,Pakistan

International Journal of Innovations in Science & Technology

RS and GIS techniques can achieve the objectives and significant analyses through visual interpretations. These techniques are also used to identify the flood affected regions. The study site was examined by applying supervised classification determining that 16900.96 Hectors of agriculture land was damaged while Sparse Riverine Forest had the area 44.52 hectors. The damaged built-up area was 1805.78 Hectors.

Estimation of Net Rice Production by Remote Sensing and Multi Source Datasets

Sarhad Journal Of Agriculture

Estimation of net crop production before harvest enables agronomists and decision makers to determine the volume of grain precisely. Yield estimation is one of the challenging tasks which is significant to evaluate accurately for farmers. This research was conducted in eastern Punjab Pakistan by incorporating yield/area as reported by Crop Reporting Service Department along with open source satellite datasets.