Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Matthew Rigge"'
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2315 (2024)
Rangeland ecosystems in the western United States are vulnerable to climate change, fire, and anthropogenic disturbances, yet classification of rangeland areas remains difficult due to frequently sparse vegetation canopies that increase the influence
Externí odkaz:
https://doaj.org/article/c2b5f438baf446f5abe57290dfabbbc3
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 1243-1265 (2022)
Abstract: Rangelands have a dynamic response to climate change, fire, and other anthropogenic disturbances. The Rangeland Condition, Monitoring, Assessment, and Projection (RCMAP) product aims to capture this response by quantifying the percent cover
Externí odkaz:
https://doaj.org/article/2aa3eed0ae4e45939769149b4f373de2
Publikováno v:
Ecological Indicators, Vol 133, Iss , Pp 108447- (2021)
Rangelands have immense inherent spatial and temporal variability, yet land condition and trends are often assessed at a limited number of spatially “representative” points. Spatially comprehensive, and quantitative, Ecological Potential (EP) dat
Externí odkaz:
https://doaj.org/article/05968ee4ae5546b68b2fc076defaac12
Publikováno v:
Ecosphere, Vol 12, Iss 6, Pp n/a-n/a (2021)
Abstract Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are unknown. While many studies have p
Externí odkaz:
https://doaj.org/article/1bde9c4ed03a436ba3bb78221dbd9338
Publikováno v:
Ecosphere, Vol 10, Iss 11, Pp n/a-n/a (2019)
Abstract Understanding the factors that influence vegetation responses to disturbance is important because vegetation is the foundation of food resources, wildlife habitat, and ecosystem properties and processes. We integrated vegetation cover data d
Externí odkaz:
https://doaj.org/article/2317108bd7874b079d99073ef9d0ed0b
Publikováno v:
Ecosphere, Vol 10, Iss 6, Pp n/a-n/a (2019)
Abstract The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost‐effective and reliable method for
Externí odkaz:
https://doaj.org/article/c58a6755292e4e3da4116a4acb83d395
Autor:
Matthew Rigge, Collin Homer, Hua Shi, Debra Meyer, Brett Bunde, Brian Granneman, Kory Postma, Patrick Danielson, Adam Case, George Xian
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 813 (2021)
Monitoring temporal dynamics of rangelands to detect and understand change in vegetation cover and composition provides a wealth of information to improve management and sustainability. Remote sensing allows the evaluation of both abrupt and gradual
Externí odkaz:
https://doaj.org/article/9eea4685f8434f27bbb67445626dd709
Autor:
Christopher E. Soulard, Matthew Rigge
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2360 (2020)
Sagebrush-dominant ecosystems in the western United States are highly vulnerable to climatic variability. To understand how these ecosystems will respond under potential future conditions, we correlated changes in National Land Cover Dataset “Back-
Externí odkaz:
https://doaj.org/article/cf4bbc9adeca4da884a2047de2337d92
Autor:
Matthew Rigge, Collin Homer, Lauren Cleeves, Debra K. Meyer, Brett Bunde, Hua Shi, George Xian, Spencer Schell, Matthew Bobo
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 412 (2020)
Quantifying western U.S. rangelands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. Nine rangeland ecosystem components, including percent shrub, sagebrush (Artemisia), big sagebrus
Externí odkaz:
https://doaj.org/article/172826810e574dff888e4d5b8cd4422b
Publikováno v:
Remote Sensing, Vol 6, Iss 10, Pp 9145-9169 (2014)
A warming climate influences boreal forest productivity, dynamics, and disturbance regimes. We used ecosystem models and 250 m satellite Normalized Difference Vegetation Index (NDVI) data averaged over the growing season (GSN) to model current, and e
Externí odkaz:
https://doaj.org/article/a937959da8de4f6c85517135ca277c24