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10 results for “CAP LTER”

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edi56/100

CAP LTER weather stations at Papago Park and Lost Dutchman State Park in the greater Phoenix metropolitan area of central Arizona, USA, ongoing since 2010

The CAP LTER maintains two micrometeorological stations (10-m height) in the greater Phoenix metropolitan area, including at Lost Dutchman State Park and near the Desert Botanical Garden at Papago Park. The local terrain at both sites is flat or gently sloping Sonoran desert, and the vegetation canopy consists of patchy coverage of desert shrubs and trees. The dominant vegetation species include bursage (*Ambrosia deltoidea*) and creosote bush (*Larrea tridentata*), while minor species include palo verde (*Parkinsonia microphylla*) and saguaro cactus (*Carnegiea gigantea*). Wind speed and direction, incoming solar radiation, air temperature, relative humidity, and precipitation have been monitored nearly continuously since the fall of 2010. Each variable is measured every 5 seconds and the average (or total for precipitation and total solar radiation) saved to a data logger every 10 minutes.

openCC0Jul 2025View details →
edi52/100

Land use and land cover (LULC) classification of the CAP LTER study area (central Arizona, USA) using Landsat imagery: 2015 and 2020

## overview The project extends the long-term, LULC datasets to facilitate environmental change monitoring and social-ecological studies regarding urban sprawl and dynamics, urban heat islands, and outdoor water consumption, among others. Six land-use/land-cover (LULC) maps at 30 m resolution were previously created from 1985 to 2010 at five-year intervals (Zhang and Li 2017). This project updates that suite with maps for 2015 and 2020. As with the prior set, systematic object-based classification was utilized to ensure map consistency and direct comparison capability over time. The maps comprise 11 land-use/land-cover classes with an overall accuracy of 89.1% for 2015 and 89.6% for 2020. ## literature cited - Zhang, Y. and X. Li. 2017. Land cover classification of the CAP LTER study area at five-year intervals from 1985 to 2010 using Landsat imagery ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/dab4db27974f6c8d5b91a91d30c7781d (Accessed 2022-07-13).

openCC0Aug 2023View details →
edi48/100

Micrometeorological conditions at the CAP LTER flux tower located in the west Phoenix, AZ, USA neighborhood of Maryvale (2010-2019)

Preface ============ USERS ARE CAUTIONED THAT THE DATA PRESENTED IN THIS DATASET ARE RAW DATA DOWNLOADED DIRECTLY FROM DATA LOGGERS; THE DATA HAVE NOT BEEN PROCESSED OR CHECKED FOR ACCURACY, COMPLETENESS OR QUALITY IN ANY CAPACITY; ANY CALCULATED VALUES DERIVE DIRECTLY FROM A DATA LOGGER. Overview ============ The CAP LTER maintains a 23-m urban eddy flux tower in the west Phoenix, AZ neighborhood of Maryvale (-112.1426 W, +33.4838 N). The tower is instrumented for long-term measurement of the covariance of turbulent eddy and radiative fluxes for the purposes of urban micrometeorological research. Additional micrometerological parameters, such as precipitation, are also measured. Select soil parameters were measured from 2012 through 2016. Eddy covariance data are collected and stored at two temporal resolutions: 10 Hz and 30-minute averages. Data presented here include only 30-minute averages. Owing to large volumes, 10-Hz data are avialable by request to the CAP LTER Information Manager (caplter.data@asu.edu).

openCC0Apr 2021View details →
edi44/100

Point-count bird censusing: bird abundance and diversity in CAP LTER Phoenix Area Social Survey neighborhoods throughout the greater Phoenix metropolitan area, 2006-2016

The Phoenix Area Social Survey (PASS) parallels the Ecological Survey of Central Arizona (formerly, Survey 200) as a long-term monitoring program of the CAP LTER. Every five years, the PASS research team surveys households in selected neighborhoods in the metropolitan Phoenix area to better understand perceptions, values, and behaviors of several key environmental issues, including water conservation, urban growth, air pollution, land conservation, biodiversity and urban climate change, as well as perceptions about their neighborhoods. The survey was piloted in 2001-2002 in eight neighborhoods in Phoenix with 302 respondents, and grew to over 40 neighborhoods and 800 households in 2005. Bird survey locations were established in each of the PASS neighborhoods, colocated as much as possible with the corresponding ESCA survey location in the neighborhood. Bird surveys were conducted biannualy (spring, winter) approximately the year of and the year after each PASS. In a given season, each bird survey location is visited independently by three birders who count all birds seen or heard within a 15-minute window.

openCC0Mar 2020View details →
edi40/100

Vegetation surveys at CAP LTER ripirain-area bird-monitoring locations in the greater Phoenix metropolitan area (2013)

Over the past half-century, the greater Phoenix metropolitan area (GPMA) has been one of the fastest growing regions in the US, experiencing rapid urban expansion in addition to urban intensification. This backdrop provides an ideal setting to monitor biodiversity changes in response to urbanization, and the CAP LTER has been using a standardized point-count protocol to monitor the bird population throughout the GPMA and surrounding Sonoran desert region since 2000. A subset of these bird-monitoring sites are located in riparian areas, and additional riparian-area monitoring locations centered on the Salt River as it runs through the GPMA were added in 2013 and 2014. In May and June of 2013, the CAP LTER surveyed the vegetation in 6,400 square meter plots around all of these riparian-area sites as part of an analysis of change in bird abundance and community composition. This dataset catalogs the results of vegetation surveys at nineteen bird-monitoring sites in riparian areas of the GPMA.

openOpenOct 2016View details →
edi36/100

Land cover classification of the CAP LTER study area at five-year intervals from 1985 to 2010 using Landsat imagery

The project aims to facilitate the long-term environmental change monitoring and social-ecological studies regarding urban sprawl and dynamics, urban heat islands, and outdoor water consumption, etc. Six land-use/land-cover (LULC) maps at 30 m resolution are created from 1985 to 2010 at five year intervals. Systematic object-based classification is utilized to ensure the map consistency and direct comparison capability over time. In the result, 11 land-use/land-cover classes are identified with an overall accuracy of 92.1%.

openCustomOct 2017View details →
edi32/100

Eddy covariance data measured at the CAP LTER flux tower located in the west Phoenix, AZ neighborhood of Maryvale from 2011-12-16 through 2012-12-31

The CAP LTER maintains a flux tower to facilitate neighborhood-scale investigations of atmospheric processes in a Phoenix, AZ suburb. Capitalizing on comprehensive measurements of energy (heat and radiation) and matter (water and carbon dioxide) exchanges between the atmosphere and the urban surface, this project adds significantly to research investigating how urbanization affects local weather, climate, and air quality. An antenna-mounted array of sophisticated sensors measuring temperature, humidity, and wind speed and direction at high temporal resolutions facilitates the calculation of energy and material fluxes. The residential setting where the tower is positioned was selected on account of the homogeneous building design (single-story, single-family, detached dwellings) representative of many neighborhoods throughout the greater Phoenix metropolitan area. To avoid the influence of localized turbulence and material fluxes created by anomalous surface objects, the antenna extends vertically approximately 75 ft to sample neighborhood-scale fluxes. This dataset contains 30-minute post-processed eddy covariance data measured at the CAP LTER tower located in the west Phoenix neighborhood of Maryvale from Dec 16 2011 to Dec 31 2012.

openCustomMar 2017View details →
edi32/100

Land use and land cover (LULC) classification of the CAP LTER study area using 2010 Landsat imagery

The land use and land cover (LULC) mapping generated from the 30 meter resolution Landsat TM5 is prepared for CAP LTER analyses. The series of products includes three levels LULC classifications, from coarser land-cover types to finer, hybrid LULC types, arranged in three thematic maps with contrasting numbers of LULC categories: (1) 12, (2) 15, and (3) 21. The percent of vegetation cover (vegetation fraction) in the residential area is provided. The image has a resampled spatial resolution of 15 meters due to the image classification procedure.

openOpenSep 2015View details →
edi32/100

CAP LTER land cover classification using 2010 National Agriculture Imagery Program (NAIP) Imagery

Detailed land-cover mapping is essential for a range of research issues addressed by sustainability science at large, and increasingly for questions posed of urban areas, such as those of the Central Arizona-Phoenix Long-Term Ecological Research (CAP LTER). This project provides the first fine-resolution land-cover mapping of the CAP LTER using 2010 NAIP four-band data. It demonstrates a new object-based method capable of delivering robust outputs for the range of research activities not only undertaken by the program of study but for such studies that appear to be emerging worldwide. The classification process incorporates cadastral GIS data to assist the land-cover type extraction at the parcel scale, and a hierarchical network approach that balances computation time with classification accuracy. Decision rules that may prove useful for other high resolution image classification in other arid-land metropolitan areas are provided.

openOpenNov 2015View details →
edi28/100

Study area of the Central Arizona-Phoenix Long Term Ecological Research (CAP LTER) project initiated in 1997

The Central Arizona-Phoenix Long Term Ecological Research (CAP LTER)project began in 1997. These data represent the study area of the Central Arizona Phoenix Long Term Ecological Research scope.

openOpenJan 2020View details →

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