NDVI

Spatial Analysis

Mapping and Assessing Landscape Suitability for Bee Migration

May 31, 2018By Claudia WindeckSpatial Analysis

Recent studies have showed how GIS and remote-sensing applications could help to assess and map landscape suitability for bees.

Spatial Analysis

Automated Land Cover Maps

September 13, 2017By Mark AltaweelSpatial Analysis

Automating the generation of land cover maps from satellite imagery is becoming easier due to learning-based algorithms improving the understanding of signal data.

Spatial Analysis

Measuring Vegetation from Satellite Imagery with NDVI

July 14, 2017By Mark AltaweelSpatial Analysis

Normalized difference vegetation index (NDVI) is a remote sensing technique that uses measurement of vegetation signatures to measure vegetation types and growth.

Spatial Analysis

Mapping Soil Moisture in Ethiopia Using Remote Sensing Techniques

April 29, 2016By Elizabeth BornemanSpatial Analysis

Remote sensing can be used to assess soil moisture across a region. Learn more about two methods NASA has used to map out soil moisture in Ethiopia.

GIS Data

Click and drag the slider bar to compare these LDCM images, which zoom into the area around Fort Collins, Colo. On the left, the image is shown in natural color, created using data from OLI spectral bands 2 (blue), 3 (green), and 4 (red). The image on the right was created using data from OLI bands 3 (green), 5 (near infrared), and 7 (short wave infrared 2) displayed as blue, green and red, respectively. In the left-hand natural color image, the city's elongated Horsetooth Reservoir, a source of drinking water, lies west of the city. A dark wildfire burn scar from the Galena Fire is visible just to the left of the reservoir. The scar shows up bright, rusty red in the false color image.

Imagery and Its Use in GIS

March 5, 2014By Amanda BrineyGIS Data

Most imagery for use in GIS projects consist of satellite images or aerial photographs but it can also include, thermal images, digital elevation models (DEMs), scanned maps and land classification maps. This article examines imagery and how to effectively gather, store, process and interpret it for a variety of different GIS projects.