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		<title>Wang, R., Gamon, J. A., Moore, R., Zygielbaum, A. I., Arkebauer, T. J., Perk, R., Leavitt, B., Cogliati, S., Wardlow, B., Qi, Y., &#8220;Errors associated with atmospheric correction methods for airborne imaging spectroscopy: Implications for vegetation indices and plant traits,&#8221; Remote Sensing of Environment, 2020.</title>
		<link>https://crest.usc.edu/research/wang-r-gamon-j-a-moore-r-zygielbaum-a-i-arkebauer-t-j-perk-r-leavitt-b-cogliati-s-wardlow-b-qi-y-errors-associated-with-atmospheric-correction-methods-for-airborne-i/</link>
					<comments>https://crest.usc.edu/research/wang-r-gamon-j-a-moore-r-zygielbaum-a-i-arkebauer-t-j-perk-r-leavitt-b-cogliati-s-wardlow-b-qi-y-errors-associated-with-atmospheric-correction-methods-for-airborne-i/#respond</comments>
		
		<dc:creator><![CDATA[cpmcdonn@usc.edu]]></dc:creator>
		<pubDate>Thu, 25 Nov 2021 03:32:00 +0000</pubDate>
				<guid isPermaLink="false">https://crest.usc.edu/?post_type=research&#038;p=2836</guid>

					<description><![CDATA[<p>The post <a href="https://crest.usc.edu/research/wang-r-gamon-j-a-moore-r-zygielbaum-a-i-arkebauer-t-j-perk-r-leavitt-b-cogliati-s-wardlow-b-qi-y-errors-associated-with-atmospheric-correction-methods-for-airborne-i/">Wang, R., Gamon, J. A., Moore, R., Zygielbaum, A. I., Arkebauer, T. J., Perk, R., Leavitt, B., Cogliati, S., Wardlow, B., Qi, Y., &#8220;Errors associated with atmospheric correction methods for airborne imaging spectroscopy: Implications for vegetation indices and plant traits,&#8221; Remote Sensing of Environment, 2020.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
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										<content:encoded><![CDATA[<p>The post <a href="https://crest.usc.edu/research/wang-r-gamon-j-a-moore-r-zygielbaum-a-i-arkebauer-t-j-perk-r-leavitt-b-cogliati-s-wardlow-b-qi-y-errors-associated-with-atmospheric-correction-methods-for-airborne-i/">Wang, R., Gamon, J. A., Moore, R., Zygielbaum, A. I., Arkebauer, T. J., Perk, R., Leavitt, B., Cogliati, S., Wardlow, B., Qi, Y., &#8220;Errors associated with atmospheric correction methods for airborne imaging spectroscopy: Implications for vegetation indices and plant traits,&#8221; Remote Sensing of Environment, 2020.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
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		<title>Ter-Ghazaryan, D., &#8220;Virtual DSS: Mapping Locations From Unstructured Data With ARCGIS LocateXT,&#8221; Digital Scholar Studio Resources, 2021.</title>
		<link>https://crest.usc.edu/research/ter-ghazaryan-d-virtual-dss-mapping-locations-from-unstructured-data-with-arcgis-locatext-digital-scholar-studio-resources-2021/</link>
					<comments>https://crest.usc.edu/research/ter-ghazaryan-d-virtual-dss-mapping-locations-from-unstructured-data-with-arcgis-locatext-digital-scholar-studio-resources-2021/#respond</comments>
		
		<dc:creator><![CDATA[cpmcdonn@usc.edu]]></dc:creator>
		<pubDate>Mon, 01 Nov 2021 03:54:00 +0000</pubDate>
				<guid isPermaLink="false">https://crest.usc.edu/?post_type=research&#038;p=2843</guid>

					<description><![CDATA[<p>The post <a href="https://crest.usc.edu/research/ter-ghazaryan-d-virtual-dss-mapping-locations-from-unstructured-data-with-arcgis-locatext-digital-scholar-studio-resources-2021/">Ter-Ghazaryan, D., &#8220;Virtual DSS: Mapping Locations From Unstructured Data With ARCGIS LocateXT,&#8221; Digital Scholar Studio Resources, 2021.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://crest.usc.edu/research/ter-ghazaryan-d-virtual-dss-mapping-locations-from-unstructured-data-with-arcgis-locatext-digital-scholar-studio-resources-2021/">Ter-Ghazaryan, D., &#8220;Virtual DSS: Mapping Locations From Unstructured Data With ARCGIS LocateXT,&#8221; Digital Scholar Studio Resources, 2021.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
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		<title>Shrestha, N., Mittelstet, A.R., Young, A.R., Gilmore, T.E., Gosselin, D.C., Qi, Y., Zeyrek, C., &#8220;Groundwater level assessment and prediction in the Nebraska Sand Hills using LIDAR-derived lake water level,&#8221; Journal of Hydrology 600, 2021.</title>
		<link>https://crest.usc.edu/research/shrestha-n-mittelstet-a-r-young-a-r-gilmore-t-e-gosselin-d-c-qi-y-zeyrek-c-groundwater-level-assessment-and-prediction-in-the-nebraska-sand-hills-using-lidar-derived-lake-water/</link>
					<comments>https://crest.usc.edu/research/shrestha-n-mittelstet-a-r-young-a-r-gilmore-t-e-gosselin-d-c-qi-y-zeyrek-c-groundwater-level-assessment-and-prediction-in-the-nebraska-sand-hills-using-lidar-derived-lake-water/#respond</comments>
		
		<dc:creator><![CDATA[cpmcdonn@usc.edu]]></dc:creator>
		<pubDate>Fri, 24 Sep 2021 19:22:00 +0000</pubDate>
				<guid isPermaLink="false">https://crest.usc.edu/?post_type=research&#038;p=2794</guid>

					<description><![CDATA[<p>The post <a href="https://crest.usc.edu/research/shrestha-n-mittelstet-a-r-young-a-r-gilmore-t-e-gosselin-d-c-qi-y-zeyrek-c-groundwater-level-assessment-and-prediction-in-the-nebraska-sand-hills-using-lidar-derived-lake-water/">Shrestha, N., Mittelstet, A.R., Young, A.R., Gilmore, T.E., Gosselin, D.C., Qi, Y., Zeyrek, C., &#8220;Groundwater level assessment and prediction in the Nebraska Sand Hills using LIDAR-derived lake water level,&#8221; Journal of Hydrology 600, 2021.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://crest.usc.edu/research/shrestha-n-mittelstet-a-r-young-a-r-gilmore-t-e-gosselin-d-c-qi-y-zeyrek-c-groundwater-level-assessment-and-prediction-in-the-nebraska-sand-hills-using-lidar-derived-lake-water/">Shrestha, N., Mittelstet, A.R., Young, A.R., Gilmore, T.E., Gosselin, D.C., Qi, Y., Zeyrek, C., &#8220;Groundwater level assessment and prediction in the Nebraska Sand Hills using LIDAR-derived lake water level,&#8221; Journal of Hydrology 600, 2021.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
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		<item>
		<title>Cawse-Nicholson, K., et al., &#8220;A compilation of surface imaging algorithms: NASA’s Surface Biology and Geology Designated Observable,&#8221; Remote Sensing of Environment, 2021.</title>
		<link>https://crest.usc.edu/research/cawse-nicholson-k-et-al-a-compilation-of-surface-imaging-algorithms-nasas-surface-biology-and-geology-designated-observable-remote-sensing-of-environment-2020/</link>
					<comments>https://crest.usc.edu/research/cawse-nicholson-k-et-al-a-compilation-of-surface-imaging-algorithms-nasas-surface-biology-and-geology-designated-observable-remote-sensing-of-environment-2020/#respond</comments>
		
		<dc:creator><![CDATA[cpmcdonn@usc.edu]]></dc:creator>
		<pubDate>Sun, 30 May 2021 17:06:00 +0000</pubDate>
				<guid isPermaLink="false">https://crest.usc.edu/?post_type=research&#038;p=2860</guid>

					<description><![CDATA[<p>The post <a href="https://crest.usc.edu/research/cawse-nicholson-k-et-al-a-compilation-of-surface-imaging-algorithms-nasas-surface-biology-and-geology-designated-observable-remote-sensing-of-environment-2020/">Cawse-Nicholson, K., et al., &#8220;A compilation of surface imaging algorithms: NASA’s Surface Biology and Geology Designated Observable,&#8221; Remote Sensing of Environment, 2021.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://crest.usc.edu/research/cawse-nicholson-k-et-al-a-compilation-of-surface-imaging-algorithms-nasas-surface-biology-and-geology-designated-observable-remote-sensing-of-environment-2020/">Cawse-Nicholson, K., et al., &#8220;A compilation of surface imaging algorithms: NASA’s Surface Biology and Geology Designated Observable,&#8221; Remote Sensing of Environment, 2021.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
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		<item>
		<title>Dennison, P. E., Qi, Y., Meerdink, S. K., Kokaly, R. F., Thompson, D. R., Daughtry, C. S., Quemada, M., Roberts, D. A., Gader, P. D., Wetherley, E. B., &#8220;Comparison of Methods for Modeling Fractional Cover Using Simulated Satellite Hyperspectral Imager Spectra,&#8221; Remote Sensing, 2019.</title>
		<link>https://crest.usc.edu/research/dennison-p-e-qi-y-meerdink-s-k-kokaly-r-f-thompson-d-r-daughtry-c-s-quemada-m-roberts-d-a-gader-p-d-wetherley-e-b-comparison-of-methods-for-modeling-fractional/</link>
					<comments>https://crest.usc.edu/research/dennison-p-e-qi-y-meerdink-s-k-kokaly-r-f-thompson-d-r-daughtry-c-s-quemada-m-roberts-d-a-gader-p-d-wetherley-e-b-comparison-of-methods-for-modeling-fractional/#respond</comments>
		
		<dc:creator><![CDATA[cpmcdonn@usc.edu]]></dc:creator>
		<pubDate>Wed, 25 Sep 2019 03:21:00 +0000</pubDate>
				<guid isPermaLink="false">https://crest.usc.edu/?post_type=research&#038;p=2832</guid>

					<description><![CDATA[<p>The post <a href="https://crest.usc.edu/research/dennison-p-e-qi-y-meerdink-s-k-kokaly-r-f-thompson-d-r-daughtry-c-s-quemada-m-roberts-d-a-gader-p-d-wetherley-e-b-comparison-of-methods-for-modeling-fractional/">Dennison, P. E., Qi, Y., Meerdink, S. K., Kokaly, R. F., Thompson, D. R., Daughtry, C. S., Quemada, M., Roberts, D. A., Gader, P. D., Wetherley, E. B., &#8220;Comparison of Methods for Modeling Fractional Cover Using Simulated Satellite Hyperspectral Imager Spectra,&#8221; Remote Sensing, 2019.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://crest.usc.edu/research/dennison-p-e-qi-y-meerdink-s-k-kokaly-r-f-thompson-d-r-daughtry-c-s-quemada-m-roberts-d-a-gader-p-d-wetherley-e-b-comparison-of-methods-for-modeling-fractional/">Dennison, P. E., Qi, Y., Meerdink, S. K., Kokaly, R. F., Thompson, D. R., Daughtry, C. S., Quemada, M., Roberts, D. A., Gader, P. D., Wetherley, E. B., &#8220;Comparison of Methods for Modeling Fractional Cover Using Simulated Satellite Hyperspectral Imager Spectra,&#8221; Remote Sensing, 2019.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
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					<wfw:commentRss>https://crest.usc.edu/research/dennison-p-e-qi-y-meerdink-s-k-kokaly-r-f-thompson-d-r-daughtry-c-s-quemada-m-roberts-d-a-gader-p-d-wetherley-e-b-comparison-of-methods-for-modeling-fractional/feed/</wfw:commentRss>
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		<item>
		<title>Dashti, H., Glenn, N. F., Ustin, S., Mitchell, J. J., Qi, Y., Ilangakoon, N. T., Flores, A. N., Silván-Cárdenas, J. L., Zhao, K., Spaete, L. P., &#8220;Empirical Methods for Remote Sensing of Nitrogen in Drylands May Lead to Unreliable Interpretation of Ecosystem Function,&#8221; IEEE Transactions on Geoscience and Remote Sensing, 2019.</title>
		<link>https://crest.usc.edu/research/dashti-h-glenn-n-f-ustin-s-mitchell-j-j-qi-y-ilangakoon-n-t-flores-a-n-silvan-cardenas-j-l-zhao-k-spaete-l-p-empirical-methods-for-remote-sensing-of-nitrogen-in-d/</link>
					<comments>https://crest.usc.edu/research/dashti-h-glenn-n-f-ustin-s-mitchell-j-j-qi-y-ilangakoon-n-t-flores-a-n-silvan-cardenas-j-l-zhao-k-spaete-l-p-empirical-methods-for-remote-sensing-of-nitrogen-in-d/#respond</comments>
		
		<dc:creator><![CDATA[cpmcdonn@usc.edu]]></dc:creator>
		<pubDate>Sun, 03 Feb 2019 03:12:00 +0000</pubDate>
				<guid isPermaLink="false">https://crest.usc.edu/?post_type=research&#038;p=2828</guid>

					<description><![CDATA[<p>The post <a href="https://crest.usc.edu/research/dashti-h-glenn-n-f-ustin-s-mitchell-j-j-qi-y-ilangakoon-n-t-flores-a-n-silvan-cardenas-j-l-zhao-k-spaete-l-p-empirical-methods-for-remote-sensing-of-nitrogen-in-d/">Dashti, H., Glenn, N. F., Ustin, S., Mitchell, J. J., Qi, Y., Ilangakoon, N. T., Flores, A. N., Silván-Cárdenas, J. L., Zhao, K., Spaete, L. P., &#8220;Empirical Methods for Remote Sensing of Nitrogen in Drylands May Lead to Unreliable Interpretation of Ecosystem Function,&#8221; IEEE Transactions on Geoscience and Remote Sensing, 2019.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://crest.usc.edu/research/dashti-h-glenn-n-f-ustin-s-mitchell-j-j-qi-y-ilangakoon-n-t-flores-a-n-silvan-cardenas-j-l-zhao-k-spaete-l-p-empirical-methods-for-remote-sensing-of-nitrogen-in-d/">Dashti, H., Glenn, N. F., Ustin, S., Mitchell, J. J., Qi, Y., Ilangakoon, N. T., Flores, A. N., Silván-Cárdenas, J. L., Zhao, K., Spaete, L. P., &#8220;Empirical Methods for Remote Sensing of Nitrogen in Drylands May Lead to Unreliable Interpretation of Ecosystem Function,&#8221; IEEE Transactions on Geoscience and Remote Sensing, 2019.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
]]></content:encoded>
					
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		<item>
		<title>Qi, Y., Ustin, S., Glenn, N., &#8220;Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA,&#8221; Remote Sensing, 10, 2018.</title>
		<link>https://crest.usc.edu/research/qi-y-ustin-s-glenn-n-imaging-spectroscopic-analysis-of-biochemical-traits-for-shrub-species-in-great-basin-usa-remote-sensing-10-2018/</link>
					<comments>https://crest.usc.edu/research/qi-y-ustin-s-glenn-n-imaging-spectroscopic-analysis-of-biochemical-traits-for-shrub-species-in-great-basin-usa-remote-sensing-10-2018/#respond</comments>
		
		<dc:creator><![CDATA[cpmcdonn@usc.edu]]></dc:creator>
		<pubDate>Fri, 12 Oct 2018 20:17:00 +0000</pubDate>
				<guid isPermaLink="false">https://crest.usc.edu/?post_type=research&#038;p=2823</guid>

					<description><![CDATA[<p>The post <a href="https://crest.usc.edu/research/qi-y-ustin-s-glenn-n-imaging-spectroscopic-analysis-of-biochemical-traits-for-shrub-species-in-great-basin-usa-remote-sensing-10-2018/">Qi, Y., Ustin, S., Glenn, N., &#8220;Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA,&#8221; Remote Sensing, 10, 2018.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://crest.usc.edu/research/qi-y-ustin-s-glenn-n-imaging-spectroscopic-analysis-of-biochemical-traits-for-shrub-species-in-great-basin-usa-remote-sensing-10-2018/">Qi, Y., Ustin, S., Glenn, N., &#8220;Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA,&#8221; Remote Sensing, 10, 2018.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
]]></content:encoded>
					
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		<item>
		<title>Ruddell, D., Foster, K., &#8220;GIS&#038;T and Geodesign,&#8221; The Geographic Information Science &#038; Technology Body of Knowledge, 2018.</title>
		<link>https://crest.usc.edu/research/ruddell-d-foster-k-gist-and-geodesign-the-geographic-information-science-technology-body-of-knowledge-2018/</link>
					<comments>https://crest.usc.edu/research/ruddell-d-foster-k-gist-and-geodesign-the-geographic-information-science-technology-body-of-knowledge-2018/#respond</comments>
		
		<dc:creator><![CDATA[cpmcdonn@usc.edu]]></dc:creator>
		<pubDate>Wed, 12 Sep 2018 23:36:00 +0000</pubDate>
				<guid isPermaLink="false">https://crest.usc.edu/?post_type=research&#038;p=3048</guid>

					<description><![CDATA[<p>The post <a href="https://crest.usc.edu/research/ruddell-d-foster-k-gist-and-geodesign-the-geographic-information-science-technology-body-of-knowledge-2018/">Ruddell, D., Foster, K., &#8220;GIS&#038;T and Geodesign,&#8221; The Geographic Information Science &#038; Technology Body of Knowledge, 2018.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://crest.usc.edu/research/ruddell-d-foster-k-gist-and-geodesign-the-geographic-information-science-technology-body-of-knowledge-2018/">Ruddell, D., Foster, K., &#8220;GIS&#038;T and Geodesign,&#8221; The Geographic Information Science &#038; Technology Body of Knowledge, 2018.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
]]></content:encoded>
					
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		<item>
		<title>VoPham, T., Wilson, J. P., Ruddell, D., Rashed, T., Brooks, M. M., Yuan, J., Talbott, E. O., Chang, C. H., Weissfeld, J. L.,&#8221;Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure,&#8221; Applied Geography, 2015.</title>
		<link>https://crest.usc.edu/research/vopham-t-wilson-j-p-ruddell-d-rashed-t-brooks-m-m-yuan-j-talbott-e-o-chang-c-h-weissfeld-j-l-linking-pesticides-and-human-health-a-geographic-information-system-gis/</link>
					<comments>https://crest.usc.edu/research/vopham-t-wilson-j-p-ruddell-d-rashed-t-brooks-m-m-yuan-j-talbott-e-o-chang-c-h-weissfeld-j-l-linking-pesticides-and-human-health-a-geographic-information-system-gis/#respond</comments>
		
		<dc:creator><![CDATA[cpmcdonn@usc.edu]]></dc:creator>
		<pubDate>Mon, 18 May 2015 23:51:00 +0000</pubDate>
				<guid isPermaLink="false">https://crest.usc.edu/?post_type=research&#038;p=3051</guid>

					<description><![CDATA[<p>The post <a href="https://crest.usc.edu/research/vopham-t-wilson-j-p-ruddell-d-rashed-t-brooks-m-m-yuan-j-talbott-e-o-chang-c-h-weissfeld-j-l-linking-pesticides-and-human-health-a-geographic-information-system-gis/">VoPham, T., Wilson, J. P., Ruddell, D., Rashed, T., Brooks, M. M., Yuan, J., Talbott, E. O., Chang, C. H., Weissfeld, J. L.,&#8221;Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure,&#8221; Applied Geography, 2015.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
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										<content:encoded><![CDATA[<p>The post <a href="https://crest.usc.edu/research/vopham-t-wilson-j-p-ruddell-d-rashed-t-brooks-m-m-yuan-j-talbott-e-o-chang-c-h-weissfeld-j-l-linking-pesticides-and-human-health-a-geographic-information-system-gis/">VoPham, T., Wilson, J. P., Ruddell, D., Rashed, T., Brooks, M. M., Yuan, J., Talbott, E. O., Chang, C. H., Weissfeld, J. L.,&#8221;Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure,&#8221; Applied Geography, 2015.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
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		<title>Ruddell, D., Dixon, P. G., &#8220;The energy–water nexus: are there tradeoffs between residentialenergy and water consumption in arid cities?,&#8221; International Journal of Biometeorology, 2014.</title>
		<link>https://crest.usc.edu/research/ruddell-d-dixon-p-g-the-energy-water-nexus-are-there-tradeoffs-between-residentialenergy-and-water-consumption-in-arid-cities-international-journal-of-biometeorology-2014/</link>
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		<dc:creator><![CDATA[cpmcdonn@usc.edu]]></dc:creator>
		<pubDate>Sun, 22 Sep 2013 23:31:00 +0000</pubDate>
				<guid isPermaLink="false">https://crest.usc.edu/?post_type=research&#038;p=3044</guid>

					<description><![CDATA[<p>The post <a href="https://crest.usc.edu/research/ruddell-d-dixon-p-g-the-energy-water-nexus-are-there-tradeoffs-between-residentialenergy-and-water-consumption-in-arid-cities-international-journal-of-biometeorology-2014/">Ruddell, D., Dixon, P. G., &#8220;The energy–water nexus: are there tradeoffs between residentialenergy and water consumption in arid cities?,&#8221; International Journal of Biometeorology, 2014.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
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										<content:encoded><![CDATA[<p>The post <a href="https://crest.usc.edu/research/ruddell-d-dixon-p-g-the-energy-water-nexus-are-there-tradeoffs-between-residentialenergy-and-water-consumption-in-arid-cities-international-journal-of-biometeorology-2014/">Ruddell, D., Dixon, P. G., &#8220;The energy–water nexus: are there tradeoffs between residentialenergy and water consumption in arid cities?,&#8221; International Journal of Biometeorology, 2014.</a> appeared first on <a href="https://crest.usc.edu">CREST</a>.</p>
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