2002
DOI: 10.1890/1051-0761(2002)012[1702:ialnas]2.0.co;2
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Interrelationships Among Landscapes, Ndvi, and Stream Water Quality in the U.S. Central Plains

Abstract: During late spring through summer of 1994 and 1995, 290 randomly selected stream sites in Nebraska, Kansas, and Missouri were sampled once for several parameters including conductivity, turbidity, total phosphorus, nitrate-nitrite nitrogen, the index of biotic integrity, and a habitat index. Based on landscape data from watersheds that were delineated for each sampling location, interrelationships were examined between these water quality parameters and land use/land cover, the normalized difference vegetation… Show more

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Cited by 65 publications
(57 citation statements)
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“…The Normalized Ciência e Agrotecnologia, 41(5):554-564, Sep/Oct. 2017 Difference Vegetation Index (NDVI) is an important approach to the analysis of land-cover structure analysis and its temporal modifications (Griffith et al, 2007). According to Costantini et al (2012) and Garrigues et al (2006), NDVI images are the most robust variable used to describe the spatial and temporal heterogeneity of a landscape's biosphere.…”
Section: Introductionmentioning
confidence: 99%
“…The Normalized Ciência e Agrotecnologia, 41(5):554-564, Sep/Oct. 2017 Difference Vegetation Index (NDVI) is an important approach to the analysis of land-cover structure analysis and its temporal modifications (Griffith et al, 2007). According to Costantini et al (2012) and Garrigues et al (2006), NDVI images are the most robust variable used to describe the spatial and temporal heterogeneity of a landscape's biosphere.…”
Section: Introductionmentioning
confidence: 99%
“…Over the past 40 years, NDVI images have been extensively used to monitor vegetation phenology or other landscape changes (7-9). For heterogeneous soil cover, NDVI is normally higher in areas with a more favorable climate, soil and more productive ecosystems (forest) than in areas where environmental conditions are less favorable (dry steppe) (10)(11)(12)(13)(14)(15). They are appreciated all over the world.…”
Section: Introduction:-mentioning
confidence: 99%
“…It is illuminating to discuss the contributions of remote sensing to the field of public health in light of two recent parallel trends in remote sensing: the first is the resurgence in production and use of field-based products best exemplified by normalized difference vegetation index (NDVI) [23,24], and by recent additions such as continuous percentage of tree cover (e.g., [25]) or continuous percentage of impervious surface cover [26,27]. These field-based, continuous data products derived from remotely sensed imagery are very useful in ecology: they capture inherent spatial gradients in the target being mapped (vegetation vigor, soil moisture, etc.)…”
Section: Introductionmentioning
confidence: 99%