phenologic Search Results


phenologic  (Revvity)
92
Revvity phenologic
Phenologic, supplied by Revvity, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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beech phenology  (Basler)
90
Basler beech phenology
Beech Phenology, supplied by Basler, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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beech phenology - by Bioz Stars, 2026-03
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vegetation phenology  (Menzel Inc)
90
Menzel Inc vegetation phenology
(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced <t>Vegetation</t> Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.
Vegetation Phenology, supplied by Menzel Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/vegetation phenology/product/Menzel Inc
Average 90 stars, based on 1 article reviews
vegetation phenology - by Bioz Stars, 2026-03
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phenological growth stages of olive trees  (Bundessortenamt)
90
Bundessortenamt phenological growth stages of olive trees
(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced <t>Vegetation</t> Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.
Phenological Growth Stages Of Olive Trees, supplied by Bundessortenamt, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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phenological eyes network  (Nagai Nori USA INC)
90
Nagai Nori USA INC phenological eyes network
(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced <t>Vegetation</t> Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.
Phenological Eyes Network, supplied by Nagai Nori USA INC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/phenological eyes network/product/Nagai Nori USA INC
Average 90 stars, based on 1 article reviews
phenological eyes network - by Bioz Stars, 2026-03
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land surface phenological metrics  (Phenometrics Inc)
90
Phenometrics Inc land surface phenological metrics
(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced <t>Vegetation</t> Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.
Land Surface Phenological Metrics, supplied by Phenometrics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/land surface phenological metrics/product/Phenometrics Inc
Average 90 stars, based on 1 article reviews
land surface phenological metrics - by Bioz Stars, 2026-03
90/100 stars
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phenological constancy  (Scharfe System)
90
Scharfe System phenological constancy
(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced <t>Vegetation</t> Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.
Phenological Constancy, supplied by Scharfe System, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/phenological constancy/product/Scharfe System
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phenological constancy - by Bioz Stars, 2026-03
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phenology trends  (Great Basin Corp)
90
Great Basin Corp phenology trends
(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced <t>Vegetation</t> Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.
Phenology Trends, supplied by Great Basin Corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/phenology trends/product/Great Basin Corp
Average 90 stars, based on 1 article reviews
phenology trends - by Bioz Stars, 2026-03
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flowering phenology  (Menzel Inc)
90
Menzel Inc flowering phenology
(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced <t>Vegetation</t> Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.
Flowering Phenology, supplied by Menzel Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/flowering phenology/product/Menzel Inc
Average 90 stars, based on 1 article reviews
flowering phenology - by Bioz Stars, 2026-03
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intrasexual synchronized flowering phenologies  (Kjellberg Inc)
90
Kjellberg Inc intrasexual synchronized flowering phenologies
(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced <t>Vegetation</t> Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.
Intrasexual Synchronized Flowering Phenologies, supplied by Kjellberg Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/intrasexual synchronized flowering phenologies/product/Kjellberg Inc
Average 90 stars, based on 1 article reviews
intrasexual synchronized flowering phenologies - by Bioz Stars, 2026-03
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phenology length  (Luntai Enterprise Co Ltd)
90
Luntai Enterprise Co Ltd phenology length
(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced <t>Vegetation</t> Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.
Phenology Length, supplied by Luntai Enterprise Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/phenology length/product/Luntai Enterprise Co Ltd
Average 90 stars, based on 1 article reviews
phenology length - by Bioz Stars, 2026-03
90/100 stars
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phenological growth stages and identification keys  (Bundessortenamt)
90
Bundessortenamt phenological growth stages and identification keys
(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced <t>Vegetation</t> Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.
Phenological Growth Stages And Identification Keys, supplied by Bundessortenamt, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/phenological growth stages and identification keys/product/Bundessortenamt
Average 90 stars, based on 1 article reviews
phenological growth stages and identification keys - by Bioz Stars, 2026-03
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Image Search Results


(A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced Vegetation Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.

Journal: Ecology and Evolution

Article Title: The extent of shifts in vegetation phenology between rural and urban areas within a human‐dominated region

doi: 10.1002/ece3.1990

Figure Lengend Snippet: (A) An example of the annual pattern in biweekly Moderate Resolution Imaging Spectroradiometer Enhanced Vegetation Index ( MODIS ‐ EVI ) data, averaged across all years, for the urban extent of the city of Birmingham (closed circles; dashed line, annual mean EVI ) and its surrounding rural zone (open circles; dotted line, annual mean EVI ). SOS and EOS indicate the start and end of the growing season, respectively. To interpolate the estimated date of EOS and SOS from the 16‐day interval of the EVI data, we assumed that EVI increased in spring, and decreased in autumn linearly within the 16 days of the interval. Therefore, the estimated SOS date (when the mean EVI intersected with observed EVI ) is calculated as follows: SOS = day 1 + (mean EVI − EVI 1 )/( EVI 2 − EVI 1 ) × 16. Where day 1 and day 2 are the neighboring dates of the EVI values. Similarly, we calculated the EOS as following: EOS = day 3 + (mean EVI − EVI 4 )/( EVI 3 − EVI 4 ) × 16. (B) and (C) illustrate in more detail how linear interpolation between biweekly data points was used.

Article Snippet: Furthermore, vegetation phenology can be modified by many factors, including disease, competition, soil condition, nutrient and water availability, and weather patterns (Menzel ).

Techniques: Imaging