Assessment of ASTER land cover and MODIS NDVI data at multiple scales for ecological characterization of an arid urban center

Stefanov, William L.; Netzband, Maik

doi:10.1016/j.rse.2005.04.024

Cited by 103 publications

(68 citation statements)

References 36 publications

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“…Data were required from the MODIS tile (h26 v05) for statewide coverage. Then, the NDVI images were mosaicked and geo-referenced to the Universal Transverse Mercator projection system by nearest-neighbor resampling method [27].…”

Section: Modis Image Processingmentioning

confidence: 99%

Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River

Hao

Zhang

Ouyang

et al. 2011

Environ Model Assess

103

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Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of the whole watershed. The normalized difference vegetation index (NDVI) for grassland and forest has been calculated and its daily correlation models were deduced by Moderate Resolution Imaging Spectroradiometer products on 12 dates in 2000, 2003, and 2006. The responses of the NDVI values with the inter-annual grassland and forest to three climatic indices (i.e., yearly precipitation and highest and lowest temperature) were analyzed showing that, except for the lowest temperature, the yearly precipitation and highest temperature had close correlations with the NDVI values of the two vegetation communities. The value of correlation coefficients ranged from 0.815 to 0.951 (p<0.01). Furthermore, the interactions of NDVI values of vegetation with the climatic indicators at monthly interval were analyzed. The NDVI of vegetation and three climatic indices had strong positive correlations (larger than 0.733, p<0.01). The monthly correlations also provided the threshold values for the three climatic indictors, to be used for simulating vegetation growth grassland under different climate features, which is essential for the assessment of the vegetation growth and for regional environmental management.

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Section: Modis Image Processingmentioning

confidence: 99%

Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River

Hao

Zhang

Ouyang

et al. 2011

Environ Model Assess

103

View full text Add to dashboard Cite

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“…Samples by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) are characterized by a horizontal resolution as high as 15 m (Abrams, 2000). While ASTER data are usually applied to study changes in land cover and biophysical parameters (Stefanov and Netzband, 2005), there are a number of studies deploying ASTER for cloud observations. Di Girolamo (2006, 2007) and Dey et al (2008) use the high-resolution ASTER reflectance measurements at the λ = 0.86 µm band to derive a statistical description of the macrophysical properties of trade wind clouds.…”

Section: Introductionmentioning

confidence: 99%

Marine boundary layer cloud property retrievals from high-resolution ASTER observations: case studies and comparison with Terra MODIS

et al. 2016

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Abstract.A research-level retrieval algorithm for cloud optical and microphysical properties is developed for the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aboard the Terra satellite. It is based on the operational MODIS algorithm. This paper documents the technical details of this algorithm and evaluates the retrievals for selected marine boundary layer cloud scenes through comparisons with the operational MODIS Data Collection 6 (C6) cloud product. The newly developed, ASTERspecific cloud masking algorithm is evaluated through comparison with an independent algorithm reported in Zhao and Di Girolamo (2006). To validate and evaluate the cloud optical thickness (τ ) and cloud effective radius (r eff ) from ASTER, the high-spatial-resolution ASTER observations are first aggregated to the same 1000 m resolution as MODIS. Subsequently, τ aA and r eff, aA retrieved from the aggregated ASTER radiances are compared with the collocated MODIS retrievals. For overcast pixels, the two data sets agree very well with Pearson's product-moment correlation coefficients of R > 0.970. However, for partially cloudy pixels there are significant differences between r eff, aA and the MODIS results which can exceed 10 µm. Moreover, it is shown that the numerous delicate cloud structures in the example marine boundary layer scenes, resolved by the high-resolution ASTER retrievals, are smoothed by the MODIS observations. The overall good agreement between the research-level ASTER results and the operational MODIS C6 products proves the feasibility of MODIS-like retrievals from ASTER reflectance measurements and provides the basis for future studies concerning the scale dependency of satellite observations and three-dimensional radiative effects.

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“…For example, type, location and density of vegetation within a neighborhood influence the living quality, because green neighborhoods are generally more appreciated by citizens. Different approaches to derive structure parameters from remote sensing data can be found in literature, for example by applying texture analysis [68] or spatial metrics [60]. For this purpose, HR data are typically employed to characterize urban structure owing to the small size of urban objects.…”

Section: Urban Development and Planningmentioning

confidence: 99%

“…Urban ecology focuses mainly on the urban vegetation, which influences the quality of life of citizens and provides a living space for animals and plant species. Therefore, studies have been carried out mapping urban vegetation density and structure (e.g., [11,60]). Vegetation density within an urban area can be mapped at a regional scale.…”

Section: Urban Development and Planningmentioning

confidence: 99%

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

et al. 2011

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With urban populations and their footprints growing globally, the need to assess the dynamics of the urban environment increases. Remote sensing is one approach that can analyze these developments quantitatively with respect to spatially and temporally large scale changes. With the 2015 launch of the spaceborne EnMAP mission, a new hyperspectral sensor with high signal-to-noise ratio at medium spatial resolution, and a 21 day global revisit capability will become available. This paper presents the results of a literature survey on existing applications and image analysis techniques in the context of urban remote sensing in order to identify and outline potential contributions of the future EnMAP mission. Regarding urban applications, four frequently addressed topics have been identified: urban development and planning, urban growth assessment, risk and vulnerability assessment and urban climate. The requirements of four application fields and associated image processing techniques used to retrieve desired parameters and create geo-information products have been reviewed. As a result, we identified promising research directions enabling the use of EnMAP for urban studies. First and foremost, research is required to analyze the spectral information content of an EnMAP pixel used to support material-based land cover mapping approaches. This information can subsequently be used to improve urban indicators, such as imperviousness. Second, we identified the global monitoring of urban areas as a promising field of investigation taking advantage of EnMAP's spatial coverage and revisit capability.Remote Sens. 2011, 3 1818However, owing to the limitations of EnMAPs spatial resolution for urban applications, research should also focus on hyperspectral resolution enhancement to enable retrieving material information on sub-pixel level.

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Assessment of ASTER land cover and MODIS NDVI data at multiple scales for ecological characterization of an arid urban center

Cited by 103 publications

References 36 publications

Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River

Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River

Marine boundary layer cloud property retrievals from high-resolution ASTER observations: case studies and comparison with Terra MODIS

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

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