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  4. Delineation and characterization of remotely sensed vegetation conditions in spring-dependent ecosystems, Harney County, Oregon

Delineation and characterization of remotely sensed vegetation conditions in spring-dependent ecosystems, Harney County, Oregon

Dates

Publication Date

Citation

Cartwright, J.M., 2017, Delineation and characterization of remotely sensed vegetation conditions in spring-dependent ecosystems, Harney County, Oregon: U.S. Geological Survey data release, https://doi.org/10.5066/F7ST7N10.

Summary

This data release includes data processing scripts, data products, and associated metadata for a novel remote-sensing based approach to assess resilience of spring-dependent ecosystems to inter-annual changes in water availability. This approach uses remotely-sensed Normalized Difference Vegetation Index (NDVI) to (1) delineate surface moisture zones (SMZs) in the vicinity of mapped springs in a semi-arid sage-steppe landscape, (2) derive quantitative indicators of the relative resilience of these SMZs to inter-annual changes in water availability, and (3) synthesize these indicators into an overall resilience score for each cluster of springs. Specifically, for 39 spring clusters mapped in the National Hydrography Dataset (NHD) in [...]

Contacts

Point of Contact :
U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center
Originator :
U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center, Jennifer M Cartwright
Metadata Contact :
Jennifer M Cartwright
Publisher :
U.S. Geological Survey - ScienceBase
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Land Resources
SDC Data Owner :
Climate Adaptation Science Centers

Attached Files

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Geospatial_metadata_DOI_10.5066_F7ST7N10.xml
Original FGDC Metadata
View 		41.95 KB application/fgdc+xml
Geospatial_data_DOI_105066_F7ST7N10.gdb.zip 1.03 MB application/zip
R_scripts_and_metadata_DOI_10.5066_F7ST7N10.zip 53.75 KB application/zip

Purpose

The processing scripts and data products presented here demonstrate proof-of-concept for a novel remote-sensing based analysis to assess resilience of springs to inter-annual changes in water availability. This approach involves the delineation and assessment of surface moisture zones (SMZs) in the vicinity of mapped springs in a semi-arid sage-steppe landscape. Effective conservation of spring-dependent ecosystems may benefit from empirical approaches to assess resilience of springs to water-cycle changes. For most springs, hydrologic data is of insufficient temporal extent and resolution to adequately characterize resilience. To help fill these data gaps, the remote sensing approach documented in this data release can be used to characterize temporal patterns in vegetation condition and moisture availability in spring-dependent ecosystems.

Rights

Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data and related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of this data, software, or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

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  • USGS Data Release Products
  • USGS Lower Mississippi-Gulf Water Science Center

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doi https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7ST7N10

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