Geospatial Analysis with Python: Processing Landsat Imagery

Geospatial Analysis with Python: Processing Landsat Imagery

“ The rioxarray package is used to read, cloud-remove, and fill pixels in Landsat data.” 01 — Data Reading and Display This section discusses the rioxarray package for processing Landsat data. The example data uses the cold-spring-fire dataset from the earthpy package, which can be downloaded directly via the earthpy package or accessed from the … Read more

Geospatial Analysis with Python: Processing Raster Data Using GDAL

Geospatial Analysis with Python: Processing Raster Data Using GDAL

“ GDAL processes raster data.” Here, I will share some content on processing raster data with GDAL. Sample data can still be downloaded from the following link: https://pan.baidu.com/s/1bAnUo0S_ojxXdkyBqWAnLg?pwd=gxu2 Extraction code: gxu2 01 — Data Reading When importing the GDAL module, Python automatically registers all known GDAL drivers to support reading various compatible formats. Common file … Read more

Why is .gdb Recommended Over .shp and .mdb for Vector Data in ArcGIS?

Why is .gdb Recommended Over .shp and .mdb for Vector Data in ArcGIS?

In ArcGIS, vector data can be stored in various formats, such as .shp (Shapefile), .mdb (Microsoft Access Database), and .gdb (Geodatabase). Each format has its specific uses and advantages, but the Geodatabase (.gdb) format is generally recommended for the following reasons: 1. Higher Data Capacity and Performance Capacity: Shapefiles and MDB files have size limitations; … Read more

Geospatial Analysis with Python: Topological Calculations (Part 1)

Geospatial Analysis with Python: Topological Calculations (Part 1)

“ Using Shapely and Geopandas for PIP queries and intersection checks.” Determining whether a point is inside a region, or whether a line intersects another line or a polygon, are fundamental topological operations. These operations have a wide range of applications, such as filtering data based on location. In spatial analysis, such spatial queries are … Read more

Geospatial Analysis with Python: Basic Operations in Geopandas (Part 1)

Geospatial Analysis with Python: Basic Operations in Geopandas (Part 1)

“ Sharing basic operations of Geopandas.” First, here is the link to the sample data: https://pan.baidu.com/s/1bAnUo0S_ojxXdkyBqWAnLg?pwd=gxu2 Extraction code: gxu2 01 — Reading and Saving Shapefiles Using the gpd.from_file() function from geopandas, spatial data can be easily read. In [1]: import geopandas as gpd# Adjust according to local file pathIn [2]: fp = "…/DAMSELFISH_distributions.shp" In [3]: … Read more

Evaluation of Traffic Noise Pollution in Neighborhood Spaces for the Elderly and Identification of Priority Intervention Spatial Features

Evaluation of Traffic Noise Pollution in Neighborhood Spaces for the Elderly and Identification of Priority Intervention Spatial Features

This article is an invitation from the “Journal of Soundscape Science” to the original author team. With the trend of population aging, the threat of noise to the health of the elderly is increasing. In 2022, the United Nations Environment Programme (UNEP) proposed creating a more inclusive urban sound environment and recommended paying more attention … Read more

Drawing a Topographic Map of the Southwest Region Using Python

Drawing a Topographic Map of the Southwest Region Using Python

Drawing a Topographic Map of the Southwest Region Using Python Author: The Eighth Galaxy – Xinyue Email: [email protected] Terrain data is pre-selected based on the latitude and longitude range, [Using CDO selection: cdo sellonlatbox,97,112.5,20,30 input.nc xinan.nc] Add the terrain data xinan.nc to the Southwest region map. Code: import pandas as pd import numpy as np … Read more

Exclusive Insights into the Python Geospatial Data Analysis Library GeoPandas: An Essential Tool for Professionals

Exclusive Insights into the Python Geospatial Data Analysis Library GeoPandas: An Essential Tool for Professionals

It was a memorable Friday evening when I attempted to process five million GPS records of taxis in New York City using GeoPandas, and my 16GB RAM MacBook Pro began to roar like a helicopter taking off. This wasn’t my first time encountering issues during geospatial analysis, but watching the Jupyter kernel crash repeatedly made … Read more

Scientific Computing with Python on Raspberry Pi

Scientific Computing with Python on Raspberry Pi

Translation organized by Python Tribe (python.freelycode.com), no reproduction allowed, sharing is welcome. This article is a guide on how to install a Python scientific computing stack suitable for geospatial analysis on Raspberry Pi 3. The whole process takes only a few minutes. The Raspberry Pi 3 was announced two weeks ago with substantial improvements in … Read more