Date
2010
Abstract
Phenology is the study of recurring natural phenomena. The seasonal "greening-up" and "greening-down" of dominant vegetation can be used as a predictor for a variety of processes and variables at local to global scales. The use of satellites to monitor land surface phenology is important for understanding local and regional ecosystem variability, identifying change over time, and potentially predicting ecosystem response to short and long-term changes in climate. However, the relationship between how phenology is expressed on the ground and how it is interpreted from satellites is poorly understood because phenological stages do not always correspond well to changes in spectral reflectance. In this study, we explored the relationship between greenness as measured by digital camera, the human eye, and ASTER imagery in two perennial grasslands at the Sevilleta National Wildlife Refuge in central New Mexico.
Handle
http://hdl.handle.net/1928/29996
Other Identifier
SEV214
Knowledge Network for Biocomplexity (KNB) Identifier
knb-lter-sev.214.168293
Document Type
Dataset
Rights
Data Policies: This dataset is released to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement of the Sevilleta LTER. Datasets must be cited as in the example provided. A copy of any publications using these data must be supplied to the Sevilleta LTER Information Manager. By downloading any data you implicitly acknowledge the LTER Data Policy (http://www.lternet.edu/data/netpolicy.html).
Source
http://dx.doi.org/10.6073/pasta/b77dc694b70480e11fbabb9cb797c6ce
Temporal coverage
2007-05-03 - 2008-10-06
Spatial coverage
Location: The Blue Grama core site is one of five core SEV LTER study sites. Meteorological trends, rodent abundance, pollinator diversity, phenology, and NPP are all being investigated. Additional studies have examined the Bootleg Canyon fire of 1998 and subsequent effects on the patch dynamics of grasses.Vegetation: Vegetation is characterized as Plains-Mesa Grassland, dominated by blue and black grama (Bouteloua gracilis and B. eriopoda) and galleta grass (Pleuraphis jamesii). , Location: Five Points Black Grama is on the transition between Chihuahuan Desert Scrub and Desert Grassland habitat. The site is subject to intensive research activity, including assessments of net primary productivity, phenology, and pollinator diversity, amongst other projects. It is the site of the unburned black grama (GU) component of the Burn NPP study. On August 4, 2009, a lightning-initiated fire began on the Sevilleta National Wildlife Refuge. By August 5, 2009, the fire had reached the Five Points Black Grama site. Portions of this site were burned, but not the entirety. See individual projects for further information on the effects of the burn. Vegetation: The Five Points Black Grama site is ecotonal in nature, bordering Chihuahuan Desert Scrub at its southern extent and Plains-Mesa Grassland at its northern, more mesic boundary. Characteristically, the dominant grass is black grama (Bouteloua eriopoda).
DOI
doi:10.6073/pasta/b77dc694b70480e11fbabb9cb797c6ce
Permanent URL
http://dx.doi.org/10.6073/pasta/b77dc694b70480e11fbabb9cb797c6ce
Recommended Citation
Vanderbilt, Kristin; Bradley, Bethany (2010): Ground-Truthing Satellite Imagery with Phenological Observations: Visual Observations from Grasslands at the Sevilleta National Wildlife Refuge, New Mexico. Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/b77dc694b70480e11fbabb9cb797c6ce
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knb-lter-sev.214.168293-provenance.xml (4 kB)
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knb-lter-sev.214.168293-report.html (26 kB)
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sev214_remotesensing_06252009.txt (328 kB)
Data in TXT format
Comments
This dataset was originally published on the Long Term Ecological Research (LTER) Network Data Portal, https://portal.lternet.edu, and potentially via other repositories or portals as described. The Digital Object Identifier (DOI) of the source data package is doi:10.6073/pasta/b77dc694b70480e11fbabb9cb797c6ce, and may be accessed at http://dx.doi.org/10.6073/pasta/b77dc694b70480e11fbabb9cb797c6ce. Metadata and files included in this record mirror as closely as possible the source data and documentation, with the provenance metadata and quality report generated by the LTER portal reproduced here as '*-provenance.xml' and *-report.html' files, respectively.