Sensitivity of Remotely Sensed Vegetation to Hydrologic Predictors across the Colorado River Basin, 2001–2019-Reference-Cited by-同舟云学术

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Sensitivity of Remotely Sensed Vegetation to Hydrologic Predictors across the Colorado River Basin, 2001–2019

Published:2021-10-31 Issue: Volume: Page:
ISSN:1093-474X
Container-title:JAWRA Journal of the American Water Resources Association
language:en
Short-container-title:J American Water Resour Assoc

Author:

Saby Linnea¹,McKee Kevin L.²,Kansara Prakrut¹,Goodall Jonathan L.¹,Band Lawrence E.¹³,Lakshmi Venkataraman¹

Affiliation:

1. Department of Engineering Systems and Environment University of Virginia Charlottesville Virginia USA

2. Department of Statistics Virginia Polytechnic Institute and State University Blacksburg Virginia USA

3. Department of Environmental Sciences University of Virginia Charlottesville Virginia USA

Funder

U.S. Department of Education

Publisher

Wiley

Subject

Earth-Surface Processes,Water Science and Technology,Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1752-1688.12965

Reference42 articles.

1. Predicting Transpiration Response to Climate Change: Insights on Physiological and Morphological Interactions that Modulate Water Exchange from Leaves to Canopies

2. Improved prediction of quasi-global vegetation conditions using remotely-sensed surface soil moisture

3. Maximum rooting depth of vegetation types at the global scale

4. Vegetation responses to precipitation and temperature: a spatiotemporal analysis of ecoregions in the Colorado River Basin

5. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover

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