Geospatial Tools for Agricultural Water Management
The use of geospatial technologies can help mitigate inefficient use of water and help improve how this precious resource is used in crop production.
How to Create Firefly Cartography with QGIS
Firefly cartography is a cartographic style used to create maps that glow. Learn how to make a firefly map using QGIS.
Making Joy Plots with GIS
Joy plots is a cartographically creative way to show topography on a map. Learn how to create joy plots using GIS.
Run AI-Mapping in QGIS over high-resolution satellite imagery
Mapflow is a QGIS plugin that lets users extract real-world objects from satellite imagery.
6 Open Source Powered Projects to Enrich Your GIS Programming Skills
This article presents six projects with suggested tools, prerequisites and learning resources that would help you to improve your geospatial programming skills.
GDAL: Geospatial Data Abstraction Library
The Geospatial Data Abstraction Library (GDAL)[1], a set of software tools, is possibly one of the most essential pieces of GIS software.
How to Use ArcGIS Pro to Estimate Areas Prone to Malaria
This tutorial uses Spatial Data Science and Remote Sensing techniques (ArcGIS Pro) to estimate areas that are prone to malaria using ArcGIS Pro.
How to Use ArcGIS Pro to Calculate Land Surface Temperature (LST) from Landsat Imagery
This ArcGIS Pro tutorial utilizes spatial data science and remote sensing techniques to calculate land surface temperatures using Landsat imagery.
A Look at Google Earth Engine
In a MapScaping podcast episode, Quisheng Wu discusses Google Earth Engine how it allows users to share and upload their own geospatial analyses.
How to Use ArcGIS Pro to Assess Landslide Susceptibility
This tutorial explains how landslide susceptibility can be assessed using ArcGIS Pro.
Using ArcGIS Online to Manage Content
With the Item Report Dashboard from GEOACE, you can use out-of-the-box tools in ArcGIS Online to manage content within an organization.
Openlayers: Geospatial JavaScript Library
One of the most under-utilized programming languages in geospatial analysis and processing is JavaScript.