Image Classification Archives

Machine Learning ML Artificial Intelligence AI in GIS

The Rise of Machine Learning (ML): How to Use Artificial Intelligence in GIS

GIS is applying machine learning into areas such as classification, prediction and segmentation. Using supervised and supervised learning, artificial intelligence automatically learns through training and labeling to solve problems.

Why the Atmospheric Window Matters in Earth Science

The atmospheric window allows specific bands of electromagnetic (EM) radiation to reach the Earth. On the other hand, absorption bands prevent EM radiation.

9 Free Global Land Cover / Land Use Data Sets

Over the span of your life, how much has the Earth changed? Quite a bit, but you probably just can’t put a number to it. You actually CAN with land cover.

Energy Interaction in Remote Sensing – Light Reflection, Absorption and Transmission

The EM radiation that makes it to Earth is called incident light. From here, Earth’s features reflect, absorb and transmit different amounts of energy.

What is Atmospheric Correction in Remote Sensing?

Dark object subtraction, radiative transfer models and atmospheric modelling are common techniques used to for atmosphere correction in remote sensing.

What is Remote Sensing? The Definitive Guide

Remote sensing is the science of obtaining information without physically being there. The 3 most common methods of capture is airplane, satellite & drones.

How to Create NDVI Maps in ArcGIS

The image analysis toolbar can generate NDVI maps in ArcGIS. NDVI shows areas of high and low vegetation and requires red and NIR bands.

Nearest Neighbor Classification Technique in Object-Based Image Analysis

Nearest Neighbor Classification Guide in ECognition

Nearest neighbor classification is a powerful approach to classify segmented objects based on specific statistics and training samples chosen by the user.

Principal Component Analysis: How to Eliminate Redundant Data

Principal component analysis PCA identifies duplicate data over several datasets & aggregates essential information into groups called principal components.

Multispectral vs Hyperspectral Imagery Explained

Multispectral vs Hyperspectral imagery. Hyperspectral contains hundreds of narrow bands. Multispectral usually consists of only 3 to 10 wider bands.