Synthesis of ground and remote sensing data for monitoring ecosystem functions in the Colorado River Delta, Mexico

Nagler, Pamela L.; Glenn, Edward P.; Hinojosa-Huerta, Osvel

doi:10.1016/j.rse.2008.06.018

Cited by 41 publications

(19 citation statements)

References 56 publications

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“…From 1993 to 1999, a series of flows during the winter and spring that varied in peak discharge rates of >500 m 3 /s in 1993 to <100 m 3 /s during 1997 and >200 m 3 /s in the next 2 years were related to increases in vegetation cover of almost 10% that occurred after 3 years of consecutive floods (Zamora‐Arroyo & Nagler et al, ). This was also supported by Nagler et al () and Nagler, Glenn, and Hinojosa‐Huerta (). In comparison, after the 2014 pulse flow, mean vegetation cover in the 21 transects increased 14% (from 33.1% to 47.2%), but the growth was not maintained after the 2015 growing season and vegetation cover returned to 2014 or lower values in most transects of the three first reaches.…”

Section: Discussionsupporting

confidence: 72%

“…Both studies from Nagler et al (, ) highlight the link between the 1993 high flow (almost 4 times higher than the 2014 pulse flow) and recruitment of native trees in the corridor. The 2014 pulse flow, by contrast, resulted in minimal establishment of native trees (Shafroth et al, ) and a temporary increase in the number of species and vegetation cover.…”

Section: Discussionmentioning

confidence: 99%

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Effect of an environmental flow on vegetation growth and health using ground and remote sensing metrics

Gomez-Sapiens

Jarchow

Flessa

et al. 2020

Hydrological Processes

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Understanding the effectiveness of environmental flow deliveries along rivers requires monitoring vegetation. Monitoring data are often collected at multiple spatial scales. For riparian vegetation, optical remote sensing methods can estimate growth responses at the riparian corridor scale, and field-based measures can quantify species composition; however, the extent to which these different measures are duplicative or complementary is important to understand when planning monitoring programmes with limited resources. In this study, we analysed riparian vegetation growth in the delta of the Colorado River in response to an experimental pulse flow. Our goal was to compare ground-based measurements of vegetation structure and composition with satellite-based Landsat radiometric variables, such as the normalized difference vegetation index (NDVI). We made this comparison in 21 transects following the delivery of 131.8 million cubic meters (mcm) of water in the stream channel during the spring of 2014 as a pulse flow and 38.4 mcm as base flows. Vegetation cover increased 14% and NDVI increased 0.02 (15%) by October 2015, and both variables returned to pre-pulse flow values in October 2016. Observed changes in vegetation structure and composition did not persist after the second year. The highest increase in vegetation cover in October 2014 and October 2015 resulted from species that could respond rapidly to additional water such as reeds (Arundo donax and Phragmites australis), cattail (Typha domingensis), and herbaceous plants. Dominant shrubs, saltcedar (Tamarix spp.) and arrowweed (Pluchea sericea), both indicative of nonrestored habitats showed variable increases in cover, and native trees (Salicaceae family) presented low increases (1%). The strong NDVIvegetation cover relationship indicates that NDVI is appropriate to detect changes at the riparian corridor scale but needs to be complemented with ground data to determine the contributions by different species to the observed trends. K E Y W O R D S Colorado River Delta, cover NDVI, environmental flow, riparian monitoring, vegetation structure

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Section: Discussionsupporting

confidence: 72%

Section: Discussionmentioning

confidence: 99%

Effect of an environmental flow on vegetation growth and health using ground and remote sensing metrics

Gomez-Sapiens

Jarchow

Flessa

et al. 2020

Hydrological Processes

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“…The park contains more than 60 different species, size and type of landscape trees and shrubs with an additional broad coverage of Kikuyu turf grass, which is irrigated using a sprinkler system. Several research studies have successfully developed ET prediction models using VIs for different vegetation covers [19] including shrub lands [20,21], riparian sites [22][23][24][25], and over regional scales with a variety of land covers/land uses of grasslands to forests [26,27]. NDVI, the most widely used VI, quantifies the vegetation's photosynthetic response to red radiation absorption and near infrared reflectance [28][29][30][31][32][33].…”

Section: Study Areamentioning

confidence: 99%

High Spatial Resolution WorldView-2 Imagery for Mapping NDVI and Its Relationship to Temporal Urban Landscape Evapotranspiration Factors

et al. 2014

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Evapotranspiration estimation has benefitted from recent advances in remote sensing and GIS techniques particularly in agricultural applications rather than urban environments. This paper explores the relationship between urban vegetation evapotranspiration (ET) and vegetation indices derived from newly-developed high spatial resolution WorldView-2 imagery. The study site was Veale Gardens in Adelaide, Australia. Image processing was applied on five images captured from February 2012 to February 2013 using ERDAS Imagine. From 64 possible two band combinations of WorldView-2, the most reliable one (with the maximum median differences) was selected. Normalized Difference Vegetation Index (NDVI) values were derived for each category of landscape cover, namely trees, shrubs, turf grasses, impervious pavements, and water bodies. Urban landscape evapotranspiration rates for Veale Gardens were estimated through field monitoring using observational-based landscape coefficients. The relationships between remotely sensed NDVIs for the entire Veale Gardens and for individual NDVIs of different vegetation covers were compared with field measured urban landscape evapotranspiration rates. The water stress conditions experienced in January

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“…Despite the advantages of using RS techniques to measure ET, several disadvantages have also been reported (Rana and Katerji 2000, Courault et al 2005, Allen et al 2011b. These include the time period between satellite captures Wood 2006, Jiang et al 2009), the high costs associated with obtaining high resolution images particularly airborne images (Stisen et al 2008, Mutiga et al 2010, the uncertainty in estimating aerodynamic components (Min and Lin 2006), errors in spatial datasets (Chen et al 2005, Wu et al 2010 and some errors in measuring narrow vegetation areas such as riparian zones (Nagler et al 2005a(Nagler et al , 2005b(Nagler et al , 2009a(Nagler et al , 2009b. It should also be noted that temporal differences between satellite/airborne images can result not only from spectral changes but also from daily, monthly and yearly changes in solar position which directly affect vegetation density (Weng et al 2004).…”

Section: Advantages and Disadvantages Of Remote Sensing Approachesmentioning

confidence: 99%

Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces

Nouri

Beecham

Anderson

et al. 2014

Urban Water Journal

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Evapotranspiration (ET) is a key component of the hydrological cycle however it is also the most difficult factor to quantify. In recent decades, estimating ET has been improved by advances in remote sensing, particularly in agricultural studies. However, quantifying ET from mixed vegetation environs, particularly urban parklands, is still challenging due to the heterogeneity of plant species, canopy covers, microclimates, and because of costly methodological requirements. Several studies have recently been conducted in agriculture and forestry which may be useful for mixed landscape vegetation studies with some modifications. This review describes general remote sensing-based approaches to estimate ET and describes their advantages and disadvantages. Most of these approaches need extensive time investment, medium to high skill levels and are quite expensive. However, in addition to the reviewed methods, the authors recommend combining remotely sensed vegetation indices and ground-based techniques for ET estimation of mixed landscape vegetation such as urban parklands.

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Synthesis of ground and remote sensing data for monitoring ecosystem functions in the Colorado River Delta, Mexico

Cited by 41 publications

References 56 publications

Effect of an environmental flow on vegetation growth and health using ground and remote sensing metrics

Effect of an environmental flow on vegetation growth and health using ground and remote sensing metrics

High Spatial Resolution WorldView-2 Imagery for Mapping NDVI and Its Relationship to Temporal Urban Landscape Evapotranspiration Factors

Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces

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