Data Package Metadata   View Summary

Long-term composited Modified Normalized Difference Water Index (MNDWI) for the greater Phoenix, Arizona, USA, metropolitan area and the surrounding Sonoran desert derived from annual and seasonal Landsat imagery, 1998 to present

General Information
Data Package:
Local Identifier:knb-lter-cap.717.1
Title:Long-term composited Modified Normalized Difference Water Index (MNDWI) for the greater Phoenix, Arizona, USA, metropolitan area and the surrounding Sonoran desert derived from annual and seasonal Landsat imagery, 1998 to present
Alternate Identifier:DOI PLACE HOLDER
Abstract:
Abstract ======== This data package consists of multiple decades of modified normalized difference water index (MNDWI) raster data across the Central Arizona-Phoenix Long-Term Ecological Research (CAP LTER) study area within metropolitan Phoenix, Arizona (USA), temporally aggregated by year and by four meteorological seasons (Winter, Spring, Summer, Fall). By providing a metric by which to reliably identify bodies of open water, these MNDWI data are intended to facilitate analyses of land-based environmental variables (e.g., urbanization, vegetation, land surface temperature) and can also be used to track long-term and seasonal change in the coarse extent of open water as a land-cover type. MNDWI was derived, following the methods of Xu (2006), from annual and seasonal composites of 30-m resolution Landsat 5-9 Level-2 Surface Reflectance imagery. All imagery retrieval and data processing were completed with Google Earth Engine (Gorelick et al. 2017) and program R. A complete description of data processing methods, including the aggregation of imagery by year and season and the calculation of the spectral index, can be found in the data package metadata (see \'Methods and Protocols\') and accompanying Javascript code. **Citations:** - Gorelick N, Hancher M, Dixon M, et al. (2017) Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment 202:18--27. <https://doi.org/10.1016/j.rse.2017.06.031> - Xu, H. (2006). Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. *International Journal of Remote Sensing*, *27*(14), 3025--3033. <https://doi.org/10.1080/01431160600589179>
Publication Date:2024-11-05
Language:english
For more information:
Visit: https://cap.lternet.edu
Visit: DOI PLACE HOLDER

Time Period
Begin:
1997-12-21
End:
2023-12-20

People and Organizations
Contact:Information Manager (Central Arizona–Phoenix LTER) [  email ]
Creator:Haight, Jeffrey (Arizona State University)
Creator:de Albuquerque, Fábio (Arizona State University)
Creator:Frazier, Amy (University of California, Santa Barbara)
Associate:Bateman, Heather L (Arizona State University, project investigator)
Associate:Larson, Kelli (Arizona State University, project investigator)

Data Entities
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_1998.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 1998
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_1999.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 1999
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2000.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2000
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2001.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2001
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2002.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2002
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2003.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2003
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2004.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2004
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2005.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2005
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2006.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2006
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2007.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2007
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2008.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2008
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2009.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2009
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2010.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2010
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2011.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2011
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2012.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2012
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2013.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2013
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2014.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2014
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2015.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2015
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2016.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2016
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2017.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2017
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2018.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2018
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2019.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2019
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2020.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2020
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2021.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2021
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2022.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2022
Spatial Raster Name:
MNDWI_multiseason_CAPLTER_2023.tif
Description:
Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2023
Other Name:
ImageExport_Landsat_CAPLTER.txt
Description:
Javascript code used in Google Earth Engine to calculate and summarize land surface temperature and spectral index variables across CAP LTER long-term bird sites, based on Landsat imagery
Detailed Metadata

Data Entities


Spatial Raster

Name:MNDWI_multiseason_CAPLTER_1998.tif
Description:Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 1998
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Physical Structure Description:
Object Name:MNDWI_multiseason_CAPLTER_1998.tif
Size:239874058 byte
Authentication:727a7498ff5bb80e18c85a686f4ab9e0 Calculated By MD5
Externally Defined Format:
Format Name:tif
Spatial Reference:
Name of Coordinate System:WGS_1984_UTM_Zone_12N
Horizontal Accuracy:
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Vertical Accuracy:
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Cell Size(X):30
Cell Size(Y):30
Number of Bands:5
Origin:Upper Left
Max Raster Objects(X):4110
Max Raster Objects(Y):2734
Max Raster Objects(Z):1
Cell Geometry:pixel
Attribute(s) Info:
 
Column Name:annual  
1_winter  
2_spring  
3_summer  
4_fall  
Definition:Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (January 1st - December 31st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (December 21st - March 19th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (March 20th - June 20th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (June 21st - September 21st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (September 22nd - December 20th)
Storage Type:float  
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Measurement Type:ratioratioratioratioratio
Measurement Values Domain:
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Accuracy Assessment:          
Coverage:          
Methods:          
Data:https://pasta-d.lternet.edu/package/data/eml/knb-lter-cap/717/1/3339e744375d25ef5d8c2ec4098b62a7

Spatial Raster

Name:MNDWI_multiseason_CAPLTER_1999.tif
Description:Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 1999
Additional Info:

user-provided coordinate reference system

32612

raster-derived projection

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Physical Structure Description:
Object Name:MNDWI_multiseason_CAPLTER_1999.tif
Size:239246636 byte
Authentication:bcf3357ba9eae52276d42f5d2c6681af Calculated By MD5
Externally Defined Format:
Format Name:tif
Spatial Reference:
Name of Coordinate System:WGS_1984_UTM_Zone_12N
Horizontal Accuracy:
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Vertical Accuracy:
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Cell Size(X):30
Cell Size(Y):30
Number of Bands:5
Origin:Upper Left
Max Raster Objects(X):4110
Max Raster Objects(Y):2734
Max Raster Objects(Z):1
Cell Geometry:pixel
Attribute(s) Info:
 
Column Name:annual  
1_winter  
2_spring  
3_summer  
4_fall  
Definition:Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (January 1st - December 31st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (December 21st - March 19th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (March 20th - June 20th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (June 21st - September 21st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (September 22nd - December 20th)
Storage Type:float  
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Measurement Type:ratioratioratioratioratio
Measurement Values Domain:
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Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          
Data:https://pasta-d.lternet.edu/package/data/eml/knb-lter-cap/717/1/2ca25a20865f0e66a2b90ac0097972c8

Spatial Raster

Name:MNDWI_multiseason_CAPLTER_2000.tif
Description:Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2000
Additional Info:

user-provided coordinate reference system

32612

raster-derived projection

+proj=utm +zone=12 +datum=WGS84 +units=m +no_defs

Physical Structure Description:
Object Name:MNDWI_multiseason_CAPLTER_2000.tif
Size:239240956 byte
Authentication:3b4213989be063a5b8cbcf9fe7b28ebd Calculated By MD5
Externally Defined Format:
Format Name:tif
Spatial Reference:
Name of Coordinate System:WGS_1984_UTM_Zone_12N
Horizontal Accuracy:
Report:METADATA_NOT_PROVIDED
Vertical Accuracy:
Report:METADATA_NOT_PROVIDED
Cell Size(X):30
Cell Size(Y):30
Number of Bands:5
Origin:Upper Left
Max Raster Objects(X):4110
Max Raster Objects(Y):2734
Max Raster Objects(Z):1
Cell Geometry:pixel
Attribute(s) Info:
 
Column Name:annual  
1_winter  
2_spring  
3_summer  
4_fall  
Definition:Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (January 1st - December 31st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (December 21st - March 19th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (March 20th - June 20th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (June 21st - September 21st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (September 22nd - December 20th)
Storage Type:float  
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Measurement Type:ratioratioratioratioratio
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Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          
Data:https://pasta-d.lternet.edu/package/data/eml/knb-lter-cap/717/1/88267c912f78ed9caf2dc5cbd5a438bd

Spatial Raster

Name:MNDWI_multiseason_CAPLTER_2001.tif
Description:Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2001
Additional Info:

user-provided coordinate reference system

32612

raster-derived projection

+proj=utm +zone=12 +datum=WGS84 +units=m +no_defs

Physical Structure Description:
Object Name:MNDWI_multiseason_CAPLTER_2001.tif
Size:254728715 byte
Authentication:caddb5fbb733cd1164a27b435c5b6a0a Calculated By MD5
Externally Defined Format:
Format Name:tif
Spatial Reference:
Name of Coordinate System:WGS_1984_UTM_Zone_12N
Horizontal Accuracy:
Report:METADATA_NOT_PROVIDED
Vertical Accuracy:
Report:METADATA_NOT_PROVIDED
Cell Size(X):30
Cell Size(Y):30
Number of Bands:5
Origin:Upper Left
Max Raster Objects(X):4183
Max Raster Objects(Y):2917
Max Raster Objects(Z):1
Cell Geometry:pixel
Attribute(s) Info:
 
Column Name:annual  
1_winter  
2_spring  
3_summer  
4_fall  
Definition:Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (January 1st - December 31st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (December 21st - March 19th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (March 20th - June 20th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (June 21st - September 21st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (September 22nd - December 20th)
Storage Type:float  
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Measurement Type:ratioratioratioratioratio
Measurement Values Domain:
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Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          
Data:https://pasta-d.lternet.edu/package/data/eml/knb-lter-cap/717/1/8a465beee7db982ad0d76cad1eea421d

Spatial Raster

Name:MNDWI_multiseason_CAPLTER_2002.tif
Description:Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2002
Additional Info:

user-provided coordinate reference system

32612

raster-derived projection

+proj=utm +zone=12 +datum=WGS84 +units=m +no_defs

Physical Structure Description:
Object Name:MNDWI_multiseason_CAPLTER_2002.tif
Size:239345271 byte
Authentication:92fdb945b75cf4225fd6eebd8bf6fc9a Calculated By MD5
Externally Defined Format:
Format Name:tif
Spatial Reference:
Name of Coordinate System:WGS_1984_UTM_Zone_12N
Horizontal Accuracy:
Report:METADATA_NOT_PROVIDED
Vertical Accuracy:
Report:METADATA_NOT_PROVIDED
Cell Size(X):30
Cell Size(Y):30
Number of Bands:5
Origin:Upper Left
Max Raster Objects(X):4110
Max Raster Objects(Y):2734
Max Raster Objects(Z):1
Cell Geometry:pixel
Attribute(s) Info:
 
Column Name:annual  
1_winter  
2_spring  
3_summer  
4_fall  
Definition:Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (January 1st - December 31st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (December 21st - March 19th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (March 20th - June 20th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (June 21st - September 21st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (September 22nd - December 20th)
Storage Type:float  
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Measurement Type:ratioratioratioratioratio
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Accuracy Assessment:          
Coverage:          
Methods:          
Data:https://pasta-d.lternet.edu/package/data/eml/knb-lter-cap/717/1/e85e69ba32cb8dc3df29cf679c8e06fa

Spatial Raster

Name:MNDWI_multiseason_CAPLTER_2003.tif
Description:Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2003
Additional Info:

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raster-derived projection

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Physical Structure Description:
Object Name:MNDWI_multiseason_CAPLTER_2003.tif
Size:240200672 byte
Authentication:794684a6208715533c7b5a95bbf63723 Calculated By MD5
Externally Defined Format:
Format Name:tif
Spatial Reference:
Name of Coordinate System:WGS_1984_UTM_Zone_12N
Horizontal Accuracy:
Report:METADATA_NOT_PROVIDED
Vertical Accuracy:
Report:METADATA_NOT_PROVIDED
Cell Size(X):30
Cell Size(Y):30
Number of Bands:5
Origin:Upper Left
Max Raster Objects(X):4110
Max Raster Objects(Y):2734
Max Raster Objects(Z):1
Cell Geometry:pixel
Attribute(s) Info:
 
Column Name:annual  
1_winter  
2_spring  
3_summer  
4_fall  
Definition:Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (January 1st - December 31st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (December 21st - March 19th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (March 20th - June 20th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (June 21st - September 21st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (September 22nd - December 20th)
Storage Type:float  
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Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          
Data:https://pasta-d.lternet.edu/package/data/eml/knb-lter-cap/717/1/310095d615cb42cf528e5f3644b5133e

Spatial Raster

Name:MNDWI_multiseason_CAPLTER_2004.tif
Description:Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2004
Additional Info:

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Physical Structure Description:
Object Name:MNDWI_multiseason_CAPLTER_2004.tif
Size:240249894 byte
Authentication:2dcc8ca8626000be7482a3f397cafdae Calculated By MD5
Externally Defined Format:
Format Name:tif
Spatial Reference:
Name of Coordinate System:WGS_1984_UTM_Zone_12N
Horizontal Accuracy:
Report:METADATA_NOT_PROVIDED
Vertical Accuracy:
Report:METADATA_NOT_PROVIDED
Cell Size(X):30
Cell Size(Y):30
Number of Bands:5
Origin:Upper Left
Max Raster Objects(X):4110
Max Raster Objects(Y):2734
Max Raster Objects(Z):1
Cell Geometry:pixel
Attribute(s) Info:
 
Column Name:annual  
1_winter  
2_spring  
3_summer  
4_fall  
Definition:Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (January 1st - December 31st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (December 21st - March 19th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (March 20th - June 20th)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (June 21st - September 21st)Modified Normalized Difference Water Index (MNDWI) based on median-composite Landsat images from the entire calendar year (September 22nd - December 20th)
Storage Type:float  
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Measurement Type:ratioratioratioratioratio
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Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          
Data:https://pasta-d.lternet.edu/package/data/eml/knb-lter-cap/717/1/8514d0388c94ed4a876d6c2f3dda68fb

Spatial Raster

Name:MNDWI_multiseason_CAPLTER_2005.tif
Description:Modified Normalized Difference Water Index (MNDWI) calculated from Landsat imagery (30-m resolution) annual and seasonal bands: 2005
Additional Info:

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32612

raster-derived projection

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Physical Structure Description:
Object Name:MNDWI_multiseason_CAPLTER_2005.tif
Size:241321395 byte
Authentication:40e53543d91b7dd84859fcbcbb80018f Calculated By MD5
Externally Defined Format:
Format Name:tif
Spatial Reference:
Name of Coordinate System:WGS_1984_UTM_Zone_12N
Horizontal Accuracy:
Report:METADATA_NOT_PROVIDED
Vertical Accuracy:
Report:METADATA_NOT_PROVIDED
Cell Size(X):30
Cell Size(Y):30
Number of Bands:5
Origin:Upper Left
Max Raster Objects(X):4110
Max Raster Objects(Y):2734
Max Raster Objects(Z):1
Cell Geometry:pixel
Attribute(s) Info:
 
Column Name:annual  
1_winter  
2_spring  
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Spatial Raster

Name:MNDWI_multiseason_CAPLTER_2021.tif
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2_spring  
3_summer  
4_fall  
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4_fall  
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Non-Categorized Data Resource

Name:ImageExport_Landsat_CAPLTER.txt
Entity Type:txt
Description:Javascript code used in Google Earth Engine to calculate and summarize land surface temperature and spectral index variables across CAP LTER long-term bird sites, based on Landsat imagery
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Data Package Usage Rights

This data package is released to the "public domain" under Creative Commons CC0 1.0 "No Rights Reserved" (see: https://creativecommons.org/publicdomain/zero/1.0/). The consumer of these data ("Data User" herein) has an ethical obligation to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or coauthorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER controlled vocabularyurban
LTER Controlled Vocabularygeographic information systems, land cover, land use, land surface properties, seasonality, long term, remote sensing, satellite imagery, landsat, landscape change, deserts
LTER core areasland use and land cover change
CAPLTER IRTecosystem structure and functioning, adapting to city life, environment and well-being
CAPLTER Keyword Set Listcap lter, cap, caplter, central arizona phoenix long term ecological research, arizona, az, arid land
Geographic Names Information SystemPhoenix

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:
Methods: ======== This data package contains multi-year raster data derived from 30-m resolution Landsat 5-9 Level-2 Surface Reflectance imagery for the Central Arizona-Phoenix Long-Term Ecological Research (CAP LTER) study area within metropolitan Phoenix, Arizona (USA), 1998 to present. First, we temporally aggregated imagery for each year by generating median composite Landsat images by calendar year (annually) and by the four meteorological seasons of the Sonoran Desert: the cool and wet Winter (December 21th-March 19th); the hot and dry Spring/early summer (March 20th-June 20th); the hot and wet Summer (June 21st-September 21st), and the warm and dry Fall (September 22nd-December 20th). These seasons generally align with the timing of the long-term monitoring projects of CAP LTER and the astronomical seasons. Second, following the methods of Xu (2006), we used then calculated the Modified Normalized Difference Water Index (MNDWI) for each annual and seasonal composite image using the green (GREEN) and first shortwave infrared (SWIR<sub>1</sub>) bands, as follows: > MNDWI = (GREEN - SWIR<sub>1</sub>) / (GREEN + SWIR<sub>1</sub>) Lastly, we generated five-band GeoTIFF files for each year, with each band corresponding to values of MNDWI from each annual or seasonal timestep (band names: 'annual', '1\_winter', '2\_spring', '3\_summer', '4\_winter'). Images were cropped to a region surrounding the CAP LTER study area utilized by Sabu et al. (2023). All datasets were processed and examined using Google Earth Engine (Gorelick et al. 2017). **Citations:** - Earth Resources Observation And Science (EROS) Center (1999) Collection-2 Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Level-2 Science Products - Earth Resources Observation And Science (EROS) Center (2013) Collection-2 Landsat 8-9 OLI (Operational Land Imager) and TIRS (Thermal Infrared Sensor) Level-2 Science Products - Earth Resources Observation And Science (EROS) Center (2020) Collection-2 Landsat 4-5 Thematic Mapper (TM) Level-2 Science Products - Gorelick N, Hancher M, Dixon M, et al. (2017) Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment 202:18--27. <https://doi.org/10.1016/j.rse.2017.06.031> - Sabu, S., Frazier, A., & Rashid, B. (2023). *Land use and land cover (LULC) classification of the CAP LTER study area (central Arizona, USA) using Landsat imagery: 2015 and 2020* \[Dataset\]. Environmental Data Initiative. <https://doi.org/10.6073/PASTA/BF18E5856215BD2D4DAB3B024BA87A7E> - Xu, H. (2006). Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. *International Journal of Remote Sensing*, *27*(14), 3025--3033. <https://doi.org/10.1080/01431160600589179>

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Jeffrey Haight
Organization:Arizona State University
Email Address:
jhaight@asu.edu
Id:https://orcid.org/0000-0002-3773-1566
Individual: Fábio de Albuquerque
Organization:Arizona State University
Email Address:
Fabio.Albuquerque@asu.edu
Id:https://orcid.org/0000-0001-9981-4757
Individual: Amy Frazier
Organization:University of California, Santa Barbara
Email Address:
afrazier@ucsb.edu
Id:https://orcid.org/0000-0003-4552-4935
Contacts:
Organization:Central Arizona–Phoenix LTER
Position:Information Manager
Address:
Arizona State University,
Global Institute of Sustainability and Innovation,
Tempe, AZ 85287-5402 USA
Email Address:
caplter.data@asu.edu
Web Address:
https://sustainability-innovation.asu.edu/caplter/
Id:https://ror.org/020zjmd13
Associated Parties:
Individual: Heather L Bateman
Organization:Arizona State University
Email Address:
heather.l.bateman@asu.edu
Id:https://orcid.org/0000-0002-3573-3824
Role:project investigator
Individual: Kelli Larson
Organization:Arizona State University
Email Address:
kelli.larson@asu.edu
Id:https://orcid.org/0000-0001-6558-2687
Role:project investigator

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
1997-12-21
End:
2023-12-20
Geographic Region:
Description:CAP LTER study area: greater Phoenix, Arizona (USA) metropolitan area and surrounding Sonoran desert region
Bounding Coordinates:
Northern:  33.9017716029547Southern:  33.149980918263
Western:  -112.836054069731Eastern:  -111.498880065144
Taxonomic Range:
Classification:
Rank Name:Species

Project

Parent Project Information:

Title:Central Arizona–Phoenix Long-Term Ecological Research Project
Personnel:
Individual: Daniel Childers
Organization:Arizona State University
Email Address:
dan.childers@asu.edu
Id:https://orcid.org/0000-0003-3904-0803
Role:Principal Investigator
Individual: Nancy Grimm
Organization:Arizona State University
Email Address:
nbgrimm@asu.edu
Id:https://orcid.org/0000-0001-9374-660X
Role:Co-principal Investigator
Individual: Sharon J Hall
Organization:Arizona State University
Email Address:
sharonjhall@asu.edu
Id:https://orcid.org/0000-0002-8859-6691
Role:Co-principal Investigator
Individual: Billie Turner II
Organization:Arizona State University
Email Address:
Billie.L.Turner@asu.edu
Id:https://orcid.org/0000-0002-6507-521X
Role:Co-principal Investigator
Individual: Abigail York
Organization:Arizona State University
Email Address:
Abigail.York@asu.edu
Id:https://orcid.org/0000-0002-2313-9262
Role:Co-principal Investigator
Abstract:Humankind is increasingly an urban species and urban ecosystems are therefore profoundly important. Cities are concentrated consumers of energy and resources and producers of various wastes, but they are also centers of social networks, innovation, efficiency, and solutions. The Central Arizona?Phoenix Long Term Ecological Research program (CAP V) is a research project that includes scientists from a variety of disciplines focused on understanding cities as hybrid ecosystems including both environmental and human components, and their interactions. Understanding urban ecosystems remains the central focus of CAP V after 25 years of innovative research. The interconnectedness of human motivation, behavior, actions, and outcomes with urban ecosystem structure and function leads to a fundamental question addressed by this project. How have/are human-environment interactions mediated by urban ecological infrastructure to shape past, present, and future ecosystem functions? This project will further indicate how we can use knowledge of these relationships to inform more just, transformative, and sustainable futures. Broader societal impacts are intentionally integrated in CAP V research, with many activities involving explicit partnerships with practitioners and communities that historically have had little voice in the future of their city and environment. This work forms a translational link among social-ecological research outcomes, city institutions, and communities with the goal of ultimately making Phoenix, and cities in general, better and more sustainable places to live. CAP research will extend its focus on the theory of Urban Ecological Infrastructure (UEI) as a critical bridge between the system?s biophysical and human/social domains. CAP researchers will continue to explore interdisciplinary urban ecology in residential landscapes, urban waterbodies, desert parks and preserves, while examining the plants, animals, climate, urban design and governance across the metropolitan Phoenix region. New research initiatives will include a focus on environmental justice and equity, as well as urban air quality. The research will develop both knowledge and solutions in underserved and historically neglected communities, including local Indigenous communities. CAP V research is organized around five interdisciplinary areas: 1) ecosystem structure and function and biogeochemical cycling; 2) adaptation and eco-evolutionary dynamics; 3) urban climate, and air quality; 4) urban nature and human perceptions, decisions, and wellbeing; and 5) environmental justice, governance, and transformative futures. Investigating these questions, in the context of the previous 25 years of CAP research, will guide the CAP research endeavor towards more sustainable and resilient futures for U.S. cities and for our increasingly urban society. This award is jointly funded by the Division of Environmental Biology and the Division of Behavioral and Cognitive Sciences. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Funding: NSF Awards: CAP I: DEB-9714833, CAP II: DEB-0423704, CAP III: DEB-1026865, CAP IV: DEB-1832016, CAP V: DEB-2224662
Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:2224662
Title:LTER: CAP V: Investigating how relationships between urban ecological infrastructure and human-environment interactions shape the structure and function of urban ecosystems
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=2224662&HistoricalAwards=false

Maintenance

Maintenance:
Description:this dataset is complete and or updates are not anticipated
Frequency:notPlanned
Other Metadata

Additional Metadata

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EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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