Skip to main content
Advanced Search

Filters: Tags: MODIS NDVI (X)

4 results (7ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Locating meadow study sitesMeadow centers as recorded in the ‘Copy of sitecords_areaelev from Caruthers thesis.xls’ file delivered by Debinski in November 2012 were matched to polygons as recorded in files ‘teton97map_area.shp’ and ‘gallatin97map_area.shp’ both also delivered by Debinski in November 2012.In cases where the meadow center did not fall within a meadow polygon, if there was a meadow polygon of the same meadow TYPE nearby (judgment was used here), the meadow center was matched with the meadow polygon of same meadow TYPE. In total, 29 of 30 Gallatin meadow sites and 21 of 25 Teton meadow sites were positively located.Identifying meadow pixels for analysisThe native MODIS 250-meter grid was reprojected...
thumbnail
In this study, we developed a method that identifies an optimal sample data usage strategy and rule numbers that minimize over- and underfitting effects in regression tree mapping models. A LANDFIRE tile (r04c03, located mainly in northeastern Nevada), which is a composite of multiple Landsat 8 scenes for a target date, was selected for the study. To minimize any cloud and bad detection effects in the original Landsat 8 data, the compositing approach used cosine-similarity-combined pixels from multiple observations based on data quality and temporal proximity to a target date. Julian date 212, which yielded relatively low "no data and/or cloudy” pixels, was used as the target date with Landsat 8 observations from...
This study identifies areas with ecosystem performance anomalies (EPA) within the Upper Colorado River Basin (UCRB) during 2005?2007 using satellite observations, climate data, and ecosystem models. The final EPA maps with 250-m spatial resolution were categorized as normal performance, underperformance, and overperformance (observed performance relative to weather-based predictions) at the 90% level of confidence. The EPA maps were validated using ?percentage of bare soil? ground observations. The validation results at locations with comparable site potential showed that regions identified as persistently underperforming (overperforming) tended to have a higher (lower) percentage of bare soil, suggesting that our...
thumbnail
Plants and animals undergo certain life cycle events every year, such as breeding or flowering. Known as phenology, these events are very sensitive to changes in climate. Changes in plant phenology can have cascading effects that impact the herbivore species that depend on the affected plants for food, such as elk, moose, and deer. Therefore, characterizing long term vegetation cycles can provide critical insight into how the behavior and health of a number of species may be altered due to climate change. This project sought to identify how drought conditions influence vegetation phenology, in order to better understand the potential effects on herbivores. Specifically, researchers examined (1) if drought causes...


    map background search result map search result map The Effects of Drought on Vegetation Phenology and Wildlife Landsat 8 six spectral band data and MODIS NDVI data for assessing the optimal regression tree models An analysis of montane meadow drying in the Greater Yellowstone Ecosystem using remotely sensed NDVI from the MODIS period of record (lsp metrics) An analysis of montane meadow drying in the Greater Yellowstone Ecosystem using remotely sensed NDVI from the MODIS period of record (lsp metrics) Landsat 8 six spectral band data and MODIS NDVI data for assessing the optimal regression tree models The Effects of Drought on Vegetation Phenology and Wildlife