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rashidnawaz564

Rashidnawaz

@rashidnawaz564

Earth Observation Scientist

Pakistan
Engels
Sommige informatie wordt in het Engels weergegeven.
Over mij
GIS & Remote Sensing Specialist with expertise in Google Earth Engine, ArcGIS Pro, QGIS, Python, and satellite image processing. I specialize in crop mapping, land use classification, hydrology studies, spatial analysis, and geospatial automation. Experienced in working with Sentinel, Landsat, SAR, and large geospatial datasets to deliver accurate, data-driven solutions for agriculture, environment, and mapping projects. Quality work, clear communication, and client satisfaction are my priorities.... Lees meer

Skills

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rashidnawaz564
Rashidnawaz
offline • 

Bekijk mijn diensten

Geografisch informatiesysteem (GIS)
I will do gis, remote sensing analysis, and mapping
VanafUS$ 5 / projectMeer informatie
Geografisch informatiesysteem (GIS)
I will perform all your geospatial tasks, analysis, mapping
VanafUS$ 10 / projectMeer informatie

Portfolio

Werkervaring

Fiverr

Earth obsevation Scientist

Fiverr • Freelance

Oct 2024 - Present • 1 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