Remote sensing methods are manipulations or analysis of image data that comes from one or more Remote Sensor Types. From the perspective of rangeland management, the goal of a remote sensing method is to extract information that is directly related to a management question or to create additional data layers that are correlated to what you're ultimately interested in. It is common to employ several different remote sensing steps en route to getting the information needed to meet a management objective. To help people connect the dots, we are developing workflows to explain how a method can be used in conjunction with other methods and suggest process chains of different methods that have successfully been used in combination to answer rangeland management questions.

This list below contains some of the most commonly used remote sensing methods but is not comprehensive. We will continue to add to this list over time, but if you are looking for information on a method that is not listed below, or if you are familiar with a method and would like to contribute to an abstract, please contact us.

• NDVI - Normalized Difference Vegetation Index
• EVI - Enhanced Vegetation Index
• SAVI - Soil-adjusted Vegetation Index
• MSAVI - Modified Soil-adjusted Vegetation Index
• SATVI - Soil-adjusted Total Vegetation Index
• Microwave Vegetation Index (MVI)
• Normalized Burn Ratio
• Biological Crust Index

• fPAR - Fraction of Photosynthetically Active Radiation
• Fractional Cover
• NPP - Net Primary Productivity or biomass
• Leaf Area Index

• Unsupervised Classification
• Supervised Classification
• Object-based Classification - also called Object-based image analysis (OBIA)
• Target Detection/Extraction
• Spectral Mixture Analysis
• Wavelet Analysis
• Change Detection

• Canopy/Texture Mapping
• Tasseled-cap Transformation

• Regression Kriging

• Fire Anomalies
• Surface Temperature

• Workflows to Calculate Cover of Bare Ground

• Valley Bottom Mapping Tool
• RSAC Riparian Mapping Tool
• HGVC Tool
• Land Facet Corridor Designer
• Buffers

• Vegetation Mapping Prerequisites and Approaches
• Image Interpretation
• Riparian Unsupervised Classification
• Riparian Supervised Classification
• Classification and Regression Tree Analysis (CART)