skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Using data from Landsat, MODIS, VIIRS and PhenoCams to monitor the phenology of California oak/grass savanna and open grassland across spatial scales

Abstract

tThe Mediterranean-type oak/grass savanna of California is composed of widely spaced oak trees withunderstory grasses. These savanna regions are interspersed with large areas of more open grasslands.The ability of remotely sensed data (with various spatial resolutions) to monitor the phenology in thesewater-limited oak/grass savannas and open grasslands is explored over the 2012–2015 timeframe usingdata from Landsat (30 m), the MODerate resolution Imaging Spectroradiometer (MODIS – gridded 500 m),and the Visible Infrared Imaging Radiometer Suite (VIIRS – gridded 500 m) data. Vegetation phenologydetected from near-ground level, webcam based PhenoCam imagery from two sites in the Ameriflux Net-work (long-term flux measurement network of the Americas) (Tonzi Ranch and Vaira Ranch) is upscaled,using a National Agriculture Imagery Program (NAIP) aerial image (1 m), to evaluate the detection ofvegetation phenology of these savannas and grasslands with the satellite data. Results show that the Nor-malized Difference Vegetation Index (NDVI) time series observed from the satellite sensors are all stronglycorrelated with the PhenoCam NDVI values from Tonzi Ranch (R2> 0.67) and Vaira Ranch (R2> 0.81). How-ever, the different viewing geometries and spatial coverage of the PhenoCams and the various satellitesensors may cause differences in the absolute phenological transition dates. Analysis of frequency his-tograms of phenological datesmore » illustrate that the phenological dates in the relatively homogeneous opengrasslands are consistent across the different spatial resolutions, in contrast, the relatively heterogeneousoak/grass savannas display has somewhat later greenup, maturity, and dormancy dates at 30 m resolu-tion than at 500 m scale due to the different phenological cycles exhibited by the overstory trees and theunderstory grasses. In addition, phenologies derived from the MODIS view angle corrected reflectance(Nadir BRDF-Adjusted Reflectance – NBAR) and the newly developed VIIRS NBAR are shown to providecomparable phenological dates (majority absolute bias ≤2 days) in this area.« less

Authors:
; ; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Univ. of Massachusetts, Boston, MA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1392711
Alternate Identifier(s):
OSTI ID: 1426772
Grant/Contract Number:  
SC0016011
Resource Type:
Published Article
Journal Name:
Agricultural and Forest Meteorology
Additional Journal Information:
Journal Name: Agricultural and Forest Meteorology Journal Volume: 237-238 Journal Issue: C; Journal ID: ISSN 0168-1923
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Savannas; Land surface phenology; near surface webcams; Satellite sensor resolution; MODIS; VIIRS; Landsat

Citation Formats

Liu, Yan, Hill, Michael J., Zhang, Xiaoyang, Wang, Zhuosen, Richardson, Andrew D., Hufkens, Koen, Filippa, Gianluca, Baldocchi, Dennis D., Ma, Siyan, Verfaillie, Joseph, and Schaaf, Crystal B. Using data from Landsat, MODIS, VIIRS and PhenoCams to monitor the phenology of California oak/grass savanna and open grassland across spatial scales. Netherlands: N. p., 2017. Web. https://doi.org/10.1016/j.agrformet.2017.02.026.
Liu, Yan, Hill, Michael J., Zhang, Xiaoyang, Wang, Zhuosen, Richardson, Andrew D., Hufkens, Koen, Filippa, Gianluca, Baldocchi, Dennis D., Ma, Siyan, Verfaillie, Joseph, & Schaaf, Crystal B. Using data from Landsat, MODIS, VIIRS and PhenoCams to monitor the phenology of California oak/grass savanna and open grassland across spatial scales. Netherlands. https://doi.org/10.1016/j.agrformet.2017.02.026
Liu, Yan, Hill, Michael J., Zhang, Xiaoyang, Wang, Zhuosen, Richardson, Andrew D., Hufkens, Koen, Filippa, Gianluca, Baldocchi, Dennis D., Ma, Siyan, Verfaillie, Joseph, and Schaaf, Crystal B. Mon . "Using data from Landsat, MODIS, VIIRS and PhenoCams to monitor the phenology of California oak/grass savanna and open grassland across spatial scales". Netherlands. https://doi.org/10.1016/j.agrformet.2017.02.026.
@article{osti_1392711,
title = {Using data from Landsat, MODIS, VIIRS and PhenoCams to monitor the phenology of California oak/grass savanna and open grassland across spatial scales},
author = {Liu, Yan and Hill, Michael J. and Zhang, Xiaoyang and Wang, Zhuosen and Richardson, Andrew D. and Hufkens, Koen and Filippa, Gianluca and Baldocchi, Dennis D. and Ma, Siyan and Verfaillie, Joseph and Schaaf, Crystal B.},
abstractNote = {tThe Mediterranean-type oak/grass savanna of California is composed of widely spaced oak trees withunderstory grasses. These savanna regions are interspersed with large areas of more open grasslands.The ability of remotely sensed data (with various spatial resolutions) to monitor the phenology in thesewater-limited oak/grass savannas and open grasslands is explored over the 2012–2015 timeframe usingdata from Landsat (30 m), the MODerate resolution Imaging Spectroradiometer (MODIS – gridded 500 m),and the Visible Infrared Imaging Radiometer Suite (VIIRS – gridded 500 m) data. Vegetation phenologydetected from near-ground level, webcam based PhenoCam imagery from two sites in the Ameriflux Net-work (long-term flux measurement network of the Americas) (Tonzi Ranch and Vaira Ranch) is upscaled,using a National Agriculture Imagery Program (NAIP) aerial image (1 m), to evaluate the detection ofvegetation phenology of these savannas and grasslands with the satellite data. Results show that the Nor-malized Difference Vegetation Index (NDVI) time series observed from the satellite sensors are all stronglycorrelated with the PhenoCam NDVI values from Tonzi Ranch (R2> 0.67) and Vaira Ranch (R2> 0.81). How-ever, the different viewing geometries and spatial coverage of the PhenoCams and the various satellitesensors may cause differences in the absolute phenological transition dates. Analysis of frequency his-tograms of phenological dates illustrate that the phenological dates in the relatively homogeneous opengrasslands are consistent across the different spatial resolutions, in contrast, the relatively heterogeneousoak/grass savannas display has somewhat later greenup, maturity, and dormancy dates at 30 m resolu-tion than at 500 m scale due to the different phenological cycles exhibited by the overstory trees and theunderstory grasses. In addition, phenologies derived from the MODIS view angle corrected reflectance(Nadir BRDF-Adjusted Reflectance – NBAR) and the newly developed VIIRS NBAR are shown to providecomparable phenological dates (majority absolute bias ≤2 days) in this area.},
doi = {10.1016/j.agrformet.2017.02.026},
journal = {Agricultural and Forest Meteorology},
number = C,
volume = 237-238,
place = {Netherlands},
year = {2017},
month = {5}
}

Journal Article:
Free Publicly Available Full Text

Citation Metrics:
Cited by: 26 works
Citation information provided by
Web of Science

Save / Share:

Works referencing / citing this record:

Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing
journal, April 2018


The Use of Satellite Information (MODIS/Aqua) for Phenological and Classification Analysis of Plant Communities
journal, July 2019

  • Ivanova, Yulia; Kovalev, Anton; Yakubailik, Oleg
  • Forests, Vol. 10, Issue 7
  • DOI: 10.3390/f10070561

Measuring Vegetation Phenology with Near-Surface Remote Sensing in a Temperate Deciduous Forest: Effects of Sensor Type and Deployment
journal, May 2019

  • Liu, Fan; Wang, Xingchang; Wang, Chuankuan
  • Remote Sensing, Vol. 11, Issue 9
  • DOI: 10.3390/rs11091063

Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing
journal, April 2018


The Use of Satellite Information (MODIS/Aqua) for Phenological and Classification Analysis of Plant Communities
journal, July 2019

  • Ivanova, Yulia; Kovalev, Anton; Yakubailik, Oleg
  • Forests, Vol. 10, Issue 7
  • DOI: 10.3390/f10070561

Measuring Vegetation Phenology with Near-Surface Remote Sensing in a Temperate Deciduous Forest: Effects of Sensor Type and Deployment
journal, May 2019

  • Liu, Fan; Wang, Xingchang; Wang, Chuankuan
  • Remote Sensing, Vol. 11, Issue 9
  • DOI: 10.3390/rs11091063

Field and Remote-Sensing Evidence for Hydro-mechanical Isolation of a Long-Lived Earthflow in Central California
journal, September 2018

  • Nereson, A. L.; Davila Olivera, S.; Finnegan, N. J.
  • Geophysical Research Letters, Vol. 45, Issue 18
  • DOI: 10.1029/2018gl079430

Comparison of Grassland Phenology Derived from MODIS Satellite and PhenoCam Near-Surface Remote Sensing in North America
journal, September 2019


Phenology Response to Climatic Dynamic across China’s Grasslands from 1985 to 2010
journal, July 2018

  • Wang, Jun; Zhou, Tiancai; Peng, Peihao
  • ISPRS International Journal of Geo-Information, Vol. 7, Issue 8
  • DOI: 10.3390/ijgi7080290

Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree–Grass Ecosystems
journal, August 2018

  • Luo, Yunpeng; El-Madany, Tarek S.; Filippa, Gianluca
  • Remote Sensing, Vol. 10, Issue 8
  • DOI: 10.3390/rs10081293

A Comparison of the Signal from Diverse Optical Sensors for Monitoring Alpine Grassland Dynamics
journal, February 2019

  • Rossi, Mattia; Niedrist, Georg; Asam, Sarah
  • Remote Sensing, Vol. 11, Issue 3
  • DOI: 10.3390/rs11030296

Monitoring Landscape Dynamics in Central U.S. Grasslands with Harmonized Landsat-8 and Sentinel-2 Time Series Data
journal, February 2019

  • Zhou, Qiang; Rover, Jennifer; Brown, Jesslyn
  • Remote Sensing, Vol. 11, Issue 3
  • DOI: 10.3390/rs11030328

A New Pseudoinvariant Near-Infrared Threshold Method for Relative Radiometric Correction of Aerial Imagery
journal, August 2019

  • Zhang, Hua; Zimba, Paul V.; Nzewi, Emmanuel U.
  • Remote Sensing, Vol. 11, Issue 16
  • DOI: 10.3390/rs11161931

Assessing the Impact of Satellite Revisit Rate on Estimation of Corn Phenological Transition Timing through Shape Model Fitting
journal, October 2019

  • Myers, Emily; Kerekes, John; Daughtry, Craig
  • Remote Sensing, Vol. 11, Issue 21
  • DOI: 10.3390/rs11212558

A dataset of 30 m annual vegetation phenology indicators (1985–2015) in urban areas of the conterminous United States
journal, January 2019