Code for GeoSTAC , GEE and Xarray: Extracting and Analyzing Sentinel-2 Data & Google Dynamic Word LULCSubtitle: A step-by-step guide to retrieving Sentinel-2 imagery using the STAC API and computing NDVI using Xarray in Python. A special…Oct 4Oct 4
Code for GeoGoogle Earth Engine: A Paradigm Shift for Geography ResearchIn the ever-evolving landscape of geographic information systems (GIS) and remote sensing, Google Earth Engine (GEE) has emerged as a…Oct 1Oct 1
Code for GeoinStackademicAdvanced Time Series Analysis with Google Earth Engine and Python LibrariesThis guide shows how to extract time series data from Google Earth Engine (GEE) and analyze it with Python. I cover time series plotting…Sep 28Sep 28
Code for GeoServer-Side vs Client-Side Objects in Google Earth EngineGoogle Earth Engine (GEE) is a cloud-based platform that provides a massive catalogue of satellite imagery and geospatial datasets, along…Sep 24Sep 24
Code for GeoImage Statistics with Google Earth Engine: A Step-by-Step Guide(Mean, Median, Mode, SD, CV, P25, P75 etc.)Sep 22Sep 22
Code for GeoHow much Python do we need to know to work with Google Earth Engine?Python BasicsSep 22Sep 22
Code for GeoLarge Scale Climatic Data Analysis using 𝐱𝐞𝐞 and 𝐱𝐚𝐫𝐫𝐚𝐲 with 𝐆𝐨𝐨𝐠𝐥𝐞 𝐄𝐚𝐫𝐭𝐡…In this article, we’ll explore how to leverage GEE along with Python libraries like xarray and xee to perform large-scale climatic data…Sep 11Sep 11
Code for GeoinStackademicImport 𝐈𝐌𝐃 𝐆𝐫𝐢𝐝𝐝𝐞𝐝 𝐑𝐚𝐢𝐧𝐟𝐚𝐥𝐥 𝐃𝐚𝐭𝐚 in 𝐆𝐨𝐨𝐠𝐥𝐞 𝐄𝐚𝐫𝐭𝐡 𝐄𝐧𝐠𝐢𝐧𝐞…I will demonstrate the steps to download the Indian Meteorological Department (IMD) Gridded Rainfall data as a GeoTIFF (.tif) file using…Jan 213Jan 213
Code for GeoSentinel-1 SAR Data Pre-processing in Google Earth Engine (GEE)In the realm of geospatial data analysis, preprocessing of Synthetic Aperture Radar (SAR) data is a crucial step. This article provides a…Jan 133Jan 133