Rangeland managers need information on the current vegetation condition and how the landscape has changed through time. To address this need, scientists from the USGS and Bureau of Land Management (BLM) developed the Rangeland Condition Monitoring Assessment and Projection (RCMAP) project. These data classify western U.S.
Matthew Rigge
Matthew Rigge is an ecologist working for the U.S Geological Survey at the USGS Earth Resources Observations and Science Center in Sioux Falls, SD.
Matthew Rigge is an ecologist working for the U.S Geological Survey at the USGS Earth Resources Observations and Science Center in Sioux Falls, SD. His focus is quantifying the current and historical condition of rangelands across the western United States. This is accomplished by producing and analyzing fractional vegetation cover maps using remote sensing and machine learning as part of the RCMAP (Rangeland Condition Monitoring Assessment and Projection) effort. Ongoing work will continue to enhance the accuracy and applicability of the fractional cover maps and project to future conditions using statistical approaches. These data fuel investigations into the drivers of change in rangeland systems, including long term change, interannual weather variation, and land management practices. Additional efforts are underway to inform users of RCMAP data on successfully applying these data to decision making. Other projects while at the USGS have included high-resolution analyses of riparian vegetation response to Best Management Practice (BMP) implementation in rangelands, mapping disturbance influences on rangeland carbon flux and productivity gradients across the Great Plains, USA, and phenological analyses of rangelands.
Professional Experience
Phenology mapping and analysis in rangelands using remote sensing.
Fractional vegetation cover time-series mapping in rangelands using remote sensing.
Time-series analysis of vegetation cover.
Education and Certifications
BS in Environmental Management, minor Chemistry
BS in Environmental Management, minor Chemistry
MS Biology
Science and Products
Estimating locally relevant scales of effect for population trends of a species of conservation concern
Eyes on Earth Episode 42 – Rangelands of the U.S. Eyes on Earth Episode 42 – Rangelands of the U.S.
Drought Monitoring Datasets Available as OGC Web Map Services (WMS)
Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019) Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019)
Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040) Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040)
Ecological Potential Fractional Component Cover Based on Long-Term Satellite Observations Across the Western United States Version 2 Ecological Potential Fractional Component Cover Based on Long-Term Satellite Observations Across the Western United States Version 2
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2025 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2025
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2024 Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2024
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Independent Validation Data Rangeland Condition Monitoring Assessment and Projection (RCMAP) Independent Validation Data
Weekly Changes of Exotic Annual Grasses (EAG) abundance in the Sagebrush Biome, USA, 2024 Weekly Changes of Exotic Annual Grasses (EAG) abundance in the Sagebrush Biome, USA, 2024
Cheatgrass and Medusahead annual Phenology extraction in Snake River Plain and Northern Basin and Range Cheatgrass and Medusahead annual Phenology extraction in Snake River Plain and Northern Basin and Range
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024
Projections of Rangeland Fractional Component Cover Across Western Northern American Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods Projections of Rangeland Fractional Component Cover Across Western Northern American Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2023 Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2023
Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods
Rangeland managers need information on the current vegetation condition and how the landscape has changed through time. To address this need, scientists from the USGS and Bureau of Land Management (BLM) developed the Rangeland Condition Monitoring Assessment and Projection (RCMAP) project. These data classify western U.S.
Rangeland managers need information on the current vegetation condition and how the landscape has changed through time.
Rangeland managers need information on the current vegetation condition and how the landscape has changed through time.
An accuracy assessment of satellite-derived rangeland fractional cover An accuracy assessment of satellite-derived rangeland fractional cover
Spatial scale dependence of error in fractional component cover maps Spatial scale dependence of error in fractional component cover maps
An interagency perspective on improving consistency and transparency of land use and land cover mapping An interagency perspective on improving consistency and transparency of land use and land cover mapping
Application of normalized radar backscatter and hyperspectral data to augment rangeland vegetation fractional classification Application of normalized radar backscatter and hyperspectral data to augment rangeland vegetation fractional classification
Biophysical drivers for predicting the distribution and abundance of invasive yellow sweetclover in the Northern Great Plains Biophysical drivers for predicting the distribution and abundance of invasive yellow sweetclover in the Northern Great Plains
Rangeland Condition Monitoring Assessment and Projection, 1985–2021 Rangeland Condition Monitoring Assessment and Projection, 1985–2021
Trends analysis of Rangeland Condition Monitoring Assessment and Projection (RCMAP) fractional component time series (1985–2020) Trends analysis of Rangeland Condition Monitoring Assessment and Projection (RCMAP) fractional component time series (1985–2020)
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Rangeland Condition Monitoring Assessment and Projection (RCMAP)
Guiding principles for using satellite-derived maps in rangeland management Guiding principles for using satellite-derived maps in rangeland management
Ecological potential fractional component cover based on Long-Term satellite observations across the western United States Ecological potential fractional component cover based on Long-Term satellite observations across the western United States
Rapid monitoring of the abundance and spread of exotic annual grasses in the western United States using remote sensing and machine learning Rapid monitoring of the abundance and spread of exotic annual grasses in the western United States using remote sensing and machine learning
Rangeland fractional components across the western United States from 1985 to 2018 Rangeland fractional components across the western United States from 1985 to 2018
Science and Products
Estimating locally relevant scales of effect for population trends of a species of conservation concern
Eyes on Earth Episode 42 – Rangelands of the U.S. Eyes on Earth Episode 42 – Rangelands of the U.S.
Drought Monitoring Datasets Available as OGC Web Map Services (WMS)
Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019) Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019)
Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040) Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040)
Ecological Potential Fractional Component Cover Based on Long-Term Satellite Observations Across the Western United States Version 2 Ecological Potential Fractional Component Cover Based on Long-Term Satellite Observations Across the Western United States Version 2
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2025 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2025
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2024 Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2024
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Independent Validation Data Rangeland Condition Monitoring Assessment and Projection (RCMAP) Independent Validation Data
Weekly Changes of Exotic Annual Grasses (EAG) abundance in the Sagebrush Biome, USA, 2024 Weekly Changes of Exotic Annual Grasses (EAG) abundance in the Sagebrush Biome, USA, 2024
Cheatgrass and Medusahead annual Phenology extraction in Snake River Plain and Northern Basin and Range Cheatgrass and Medusahead annual Phenology extraction in Snake River Plain and Northern Basin and Range
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024
Projections of Rangeland Fractional Component Cover Across Western Northern American Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods Projections of Rangeland Fractional Component Cover Across Western Northern American Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2023 Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2023
Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods
Rangeland managers need information on the current vegetation condition and how the landscape has changed through time. To address this need, scientists from the USGS and Bureau of Land Management (BLM) developed the Rangeland Condition Monitoring Assessment and Projection (RCMAP) project. These data classify western U.S.
Rangeland managers need information on the current vegetation condition and how the landscape has changed through time. To address this need, scientists from the USGS and Bureau of Land Management (BLM) developed the Rangeland Condition Monitoring Assessment and Projection (RCMAP) project. These data classify western U.S.
Rangeland managers need information on the current vegetation condition and how the landscape has changed through time.
Rangeland managers need information on the current vegetation condition and how the landscape has changed through time.