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rashidnawaz564

Rashidnawaz

@rashidnawaz564
Pakistan
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Welcome! I'm your go-to GIS and Remote Sensing Wizard with four years of immersive experience unraveling the mysteries of spatial data. With a Master's degree in Remote Sensing and GIS, I wield a potent blend of academic prowess and practical know-how. Picture this: a world of data at your fingertips, meticulously analyzed and transformed into actionable insights. That's where I come in! Whether it's navigating the intricate landscapes of ArcGIS Pro, QGIS, Erdas Imagine, or harnessing the power of Python libraries, I'm your guide through the digital wilderness. But here's the kicker: ... Continua a leggere

Competenze

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rashidnawaz564
Rashidnawaz
offline • 

Consulta i miei servizi

Geographic Information Systems (GIS)
I will do gis, remote sensing analysis, and mapping
Geographic Information Systems (GIS)
I will perform all your geospatial tasks, analysis, mapping

Portfolio

Esperienza lavorativa

Fiverr

Earth obsevation Scientist

Fiverr • Freelance

Oct 2024 - Present1 yr 7 mos

GIS & Remote Sensing Specialist | Google Earth Engine & Geospatial Analytics Experienced GIS and Remote Sensing Specialist with expertise in satellite data processing, geospatial analysis, and agricultural monitoring using advanced Earth Observation techniques. Skilled in developing scalable workflows using Google Earth Engine (GEE), Python, and machine learning for crop classification, vegetation analysis, biomass estimation, and environmental assessment. Proficient in processing Sentinel-1/2, Landsat, and Planet satellite imagery for applications in agriculture, water resources, climate resilience, and land-use monitoring. Strong background in spatial modeling, phenology analysis, NDVI time-series interpretation, and geospatial automation. Core Expertise: Google Earth Engine (JavaScript & Python API) Remote Sensing & GIS Analysis Crop Classification & Yield Estimation NDVI, NDRE, RECI, PSRI & Vegetation Indices Satellite Image Processing (Sentinel, Landsat, Planet) Machine Learning for Geospatial Applications Python Geospatial Libraries (GeoPandas, Rasterio, GDAL) Spatial Interpolation & Raster Analysis Agricultural & Water Resource Mapping Geospatial Data Visualization & Automation Industries: Precision Agriculture Climate & Environmental Monitoring Water Resource Management Disaster & Vulnerability Assessment Land Use / Land Cover Mapping Research & Development