Analyzing the phenologic dynamics of kudzu (Pueraria montana) infestations using remote sensing and the normalized difference vegetation index.

Peters, Faye

doi:10.18297/etd/2437

Cited by 3 publications

(3 citation statements)

References 41 publications

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“…First created by Faye Peters, a combination of GEE and STARFM allows for processing 16-day Landsat coupled with 16-day MODIS NDVI composites to study the invasive plant Kudzu (Pueraria montana) (Peters, 2016). We build off this work to create a system that leverages MODIS daily NDVI with Landsat imagery for processing in STARFM.…”

Section: Thesis Organizationmentioning

confidence: 99%

“…ENVI and Geotiff files are produced at the end of this process for analysis. STARFM is implemented using an R-shell based on the work by Faye Peters (Peters, 2016). The system allows for large data sets to be run through STARFM in a loop to induce less labor-intensive processing.…”

Section: Study Areamentioning

confidence: 99%

“…The original design of this code is created by Faye Peters, and it is updated in this study to work with daily MODIS data and Tier-1 Landsat in the previous chapter (Peters, 2016). Chattin Flatt, MM109, Impact, and MM12 have had multiple previous fires affect their vegetation.…”

Section: Experimental Designmentioning

confidence: 99%

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Utilizing Satellite Fusion Methods to Assess Vegetation Phenology in a Semi-Arid Ecosystem

Gallagher¹

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leading to desertification, habitat loss, and the spread of invasive species. Modern public satellite imagery is unable to detect fine temporal and spatial changes that occur in drylands. These ecosystems can have rapid phenological changes, and the heterogeneity of the ground cover is unable to be identified at course pixel sizes (e.g. 250 m). We develop a system that uses data from multiple satellites to model finer data to detect phenology in a semi-arid ecosystem, a dryland ecosystem type.

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Section: Thesis Organizationmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

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Utilizing Satellite Fusion Methods to Assess Vegetation Phenology in a Semi-Arid Ecosystem

Gallagher¹

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The essence of acquisition time of airborne hyperspectral and on-ground reference data for classification of highly invasive annual vine Echinocystis lobata (Michx.) Torr. & A. Gray

Kopeć

Zakrzewska

Halladin-Dabrowska

et al. 2023

GIScience & Remote Sensing

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Comparação Entre Índices De Vegetação Obtidos Por Imagens Aéreas Com Veículo Aéreo Não Tripulado (Vant) E Satélite

Sampaio¹,

Bourscheidt

Sarracini³

et al. 2020

Revista Brasileira De Engenharia De Biossistemas

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Remote sensing (RS), which is widely employed in different areas, may be used as well for the management of agricultural systems. Among its different tools and applications, the use of vegetation indexes, which attempt to relate the variations of the measured spectral behavior with different biophysical parameters of the plants, may be one of the most important. And the quality of the resulting products will depend intrinsically on the precision of the images being used. On this way, this work aims to compare the vegetation indexes obtained from satellite images and with unmanned aerial vehicle (UAV) in an irrigated pasture area. The images were obtained from the Landsat-8 satellite and with UAV (both conventional RGB and infrared adapted NBG cameras), and the following indices were calculated: NDVI, the classic index for monitoring vegetation; the MPRI, which is related to the NDVI, but uses only the bands of the visible spectrum; NDVI adapted to RGB digital cameras and; ENDVI, an enhancement of the NDVI proposed to optimize the use of RGB cameras. The values of the indices obtained by these images were further correlated. In order to make the comparison with Landsat-8 images more appropriate, the digital values of UAV images were converted to reflectance values. The results of this study indicated an intermediate positive correlation of the NDVI and ENDVI indices obtained from satellite and UAV images, which could be influenced by the scale difference across the images, as well as by the temporal variation in the data acquisition from the different sources. The better calibration of the images taken with UAVs is also important to ensure the conversion to reflectance to be adequate. The studied indexes were sensitive to indicate the variations in the studied area and confirmed that they can be tools of precision agriculture, helping in the planning of pasture management with the application of Precision Agriculture.

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Analyzing the phenologic dynamics of kudzu (Pueraria montana) infestations using remote sensing and the normalized difference vegetation index.

Cited by 3 publications

References 41 publications

Utilizing Satellite Fusion Methods to Assess Vegetation Phenology in a Semi-Arid Ecosystem

Utilizing Satellite Fusion Methods to Assess Vegetation Phenology in a Semi-Arid Ecosystem

The essence of acquisition time of airborne hyperspectral and on-ground reference data for classification of highly invasive annual vine Echinocystis lobata (Michx.) Torr. & A. Gray

Comparação Entre Índices De Vegetação Obtidos Por Imagens Aéreas Com Veículo Aéreo Não Tripulado (Vant) E Satélite

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