This course explores the theory, technology, and applications of remote sensing. It is designed for individuals with an interest in GIS and geospatial science who have no prior...

The lab exercise videos demonstrates how to work with remote sensing imagery available from USGS, USDA, ESA, and NASA with QGIS, SAGA GIS, SNAP, and Pix4Dmapper. Each video runs...

A 12-chapter introductory eBook about remote sensing. Contents cover (1) Remote Sensing and Geospatial Technology, (2) Energy and Radiation, (3) Airphotos, (4) Digital Imagery,...

Manual and scripts in R for conducting “agnostic” image classification and accuracy assessment.

Manual and scripts in Python for conducting “agnostic” image classification and accuracy assessment.

This story map describes the history of Landsat, reviews some basic remote sensing principles, and presents some example applications for Landsat data in Rhode Island.

This video playlist contains 28 short videos. These video tutorials can be viewed as a companion to the ebook "Remote Sensing with ArcGIS Pro" or they can be viewed as...

Remotely sensed images are widely available and have countless potential applications. In the past, analyzing these images required specialized software. Esri’s ArcGIS Pro...

Participants in this course will learn about remote sensing of wildfires from instructors at the University of Alaska Fairbanks, located in one of the world’s most active...

This book is authored by TexasView lead, Dr. Rebecca Dodge, and New HampshireView lead, Dr. Russell Congalton, and starts with an overview of how remote sensing imagery is...

Learn everything about why and how to do an accuracy assessment on remotely sensed data through online videos and associated exercises. This video series was developed by Dr....

Lesson 1. An Introduction to working with multispectral satellite data in ArcGIS Pro In which we learn: • How to unpack tar and gz files from USGS EROS • The basic map...

This thesis is comprised of four chapters that examine various aspects of remote sensing for ecological management in Theodore Roosevelt National Park. Chapter one reviews the...

Many issues can reduce the reproducibility and replicability of deep learning (DL) research and application in remote sensing, including the complexity and customizability of...

Students enrolled in an applied remote sensing class at University of Wyoming are required to complete a term research project. They have to apply the concepts learned...

Eddy covariance (EC) systems provide integrated fluxes within their footprint areas. Spatial heterogeneity of up-scaled areas and spatio-temporal mismatches between EC footprint...

The capacity of terrestrial ecosystems to sequester carbon dioxide (CO2) from the atmosphere is expected to be altered by climate change and CO2 fertilization, but this...

Agricultural production in the Great Plains provides a significant amount of food for the United States while contributing greatly to farm income in the region. However,...

The application of remote sensing techniques in mapping, classifying and monitoring land cover, land use and vegetation are popular among the researchers and scientists for...

Snow cover is an important variable in both climatological and hydrological studies because of its relationship to environmental energy and mass flux. However, variability in...