Search Menu
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information
Search Scholarly Publications

Title: Linear downscaling from MODIS to landsat: connecting landscape composition with ecosystem functions

Abstract

The open and free access to Landsat and MODIS products have greatly promoted scientific investigations on spatiotemporal change in land mosaics and ecosystem functions at landscape to regional scales. Unfortunately, there is a major mismatch in spatial resolution between MODIS products at coarser resolution (≥ 250 m) and landscape structure based on classified Landsat scenes at finer resolution (30 m). Based on practical needs for downscaling popular MODIS products at 500 m resolution to match classified land cover at Landsat 30 m resolution, we proposed an innovative modelling approach so that landscape structure and ecosystem functions can be directly studied for their interconnections. As a proof-of-concept of our downscaling approach, we selected the watershed of the Kalamazoo River in southwestern Michigan, USA as the testbed. MODIS products for three fundamental variables of ecosystem function are downscaled to ensure the approach can be extrapolated to multiple functional measurements. They are blue-sky albedo (0–1), evapotranspiration (ET, mm), and gross primary production (GPP, Mg C ha-1 year-1). An object-oriented classification of Landsat images in 2011 was processed to generate a land cover map for landscape structure. The downscaling model was tested for the five Level IV ecoregions within the watershed. We achieved satisfactorymore » downscaling models for albedo, ET, and GPP for all five ecoregions. The adjusted R2 was > 0.995 for albedo, 0.915–0.997 for ET, and 0.902–0.962 for GPP. The estimated albedo, ET, and GPP values appear different in the region. The estimated albedo was the lowest for water (0.076–0.107) and the highest for cropland (0.166–0.172). Estimated ET was the highest for the built-up cover type (525.6–687.1 mm) and the lowest for forest (209.7–459.7 mm). The estimated GPP was the highest for the build-up cover type (8.65–9.85 Mg C ha-1 year-1) and the lowest for forest. Estimated values for albedo, ET, and GPP appear reasonable for their ranges in the Kalamazoo River region and are consistent with values reported in the literature. Despite these promising results, the downscaling approach relies on strong assumptions and can carry substantial uncertainty. Finally, it is only valid at a spatial scale where similar climate, soil, and landforms exist (i.e., values in isolated patches of the same cover type are similar). Plausibly, the uncertainties associated with each estimation, as well as the model residuals, can be explored for other pattern-process relationships within the landscape.« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [2];  [1]
+ Show Author Affiliations
  1. Michigan State Univ., East Lansing, MI (United States)
  2. Univ. of South Dakota, Vermillion, SD (United States)
Publication Date:
Research Org.:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Aeronautics and Space Administration (NASA)
OSTI Identifier:
1600743
Grant/Contract Number:  
SC0018409; FC02-07ER64494
Resource Type:
Accepted Manuscript
Journal Name:
Landscape Ecology
Additional Journal Information:
Journal Volume: 34; Journal Issue: 12; Journal ID: ISSN 0921-2973
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; downscaling; MODIS; landsat; GPP; ET; albedo; Kalamazoo River watershed

Citation Formats

Chen, Jiquan, Sciusco, Pietro, Ouyang, Zutao, Zhang, Rong, Henebry, Geoffrey M., John, Ranjeet, and Roy, David. P. Linear downscaling from MODIS to landsat: connecting landscape composition with ecosystem functions. United States: N. p., 2019. Web. doi:10.1007/s10980-019-00928-2.
Copy to clipboard
Chen, Jiquan, Sciusco, Pietro, Ouyang, Zutao, Zhang, Rong, Henebry, Geoffrey M., John, Ranjeet, & Roy, David. P. Linear downscaling from MODIS to landsat: connecting landscape composition with ecosystem functions. United States. https://doi.org/10.1007/s10980-019-00928-2
Copy to clipboard
Chen, Jiquan, Sciusco, Pietro, Ouyang, Zutao, Zhang, Rong, Henebry, Geoffrey M., John, Ranjeet, and Roy, David. P. Wed . "Linear downscaling from MODIS to landsat: connecting landscape composition with ecosystem functions". United States. https://doi.org/10.1007/s10980-019-00928-2. https://www.osti.gov/servlets/purl/1600743.
Copy to clipboard
@article{osti_1600743,
title = {Linear downscaling from MODIS to landsat: connecting landscape composition with ecosystem functions},
author = {Chen, Jiquan and Sciusco, Pietro and Ouyang, Zutao and Zhang, Rong and Henebry, Geoffrey M. and John, Ranjeet and Roy, David. P.},
abstractNote = {The open and free access to Landsat and MODIS products have greatly promoted scientific investigations on spatiotemporal change in land mosaics and ecosystem functions at landscape to regional scales. Unfortunately, there is a major mismatch in spatial resolution between MODIS products at coarser resolution (≥ 250 m) and landscape structure based on classified Landsat scenes at finer resolution (30 m). Based on practical needs for downscaling popular MODIS products at 500 m resolution to match classified land cover at Landsat 30 m resolution, we proposed an innovative modelling approach so that landscape structure and ecosystem functions can be directly studied for their interconnections. As a proof-of-concept of our downscaling approach, we selected the watershed of the Kalamazoo River in southwestern Michigan, USA as the testbed. MODIS products for three fundamental variables of ecosystem function are downscaled to ensure the approach can be extrapolated to multiple functional measurements. They are blue-sky albedo (0–1), evapotranspiration (ET, mm), and gross primary production (GPP, Mg C ha-1 year-1). An object-oriented classification of Landsat images in 2011 was processed to generate a land cover map for landscape structure. The downscaling model was tested for the five Level IV ecoregions within the watershed. We achieved satisfactory downscaling models for albedo, ET, and GPP for all five ecoregions. The adjusted R2 was > 0.995 for albedo, 0.915–0.997 for ET, and 0.902–0.962 for GPP. The estimated albedo, ET, and GPP values appear different in the region. The estimated albedo was the lowest for water (0.076–0.107) and the highest for cropland (0.166–0.172). Estimated ET was the highest for the built-up cover type (525.6–687.1 mm) and the lowest for forest (209.7–459.7 mm). The estimated GPP was the highest for the build-up cover type (8.65–9.85 Mg C ha-1 year-1) and the lowest for forest. Estimated values for albedo, ET, and GPP appear reasonable for their ranges in the Kalamazoo River region and are consistent with values reported in the literature. Despite these promising results, the downscaling approach relies on strong assumptions and can carry substantial uncertainty. Finally, it is only valid at a spatial scale where similar climate, soil, and landforms exist (i.e., values in isolated patches of the same cover type are similar). Plausibly, the uncertainties associated with each estimation, as well as the model residuals, can be explored for other pattern-process relationships within the landscape.},
doi = {10.1007/s10980-019-00928-2},
journal = {Landscape Ecology},
number = 12,
volume = 34,
place = {United States},
year = {Wed Nov 06 00:00:00 EST 2019},
month = {Wed Nov 06 00:00:00 EST 2019}
}
Copy to clipboard
Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1007/s10980-019-00928-2
Copyright Statement
Other availability
Search WorldCat Search WorldCat to find libraries that may hold this journal
Citation Metrics:
Cited by: 11 works
Citation information provided by
Web of Science
Save / Share:
Export Metadata
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.

Works referenced in this record:

Evapotranspiration of annual and perennial biofuel crops in a variable climate
journal, February 2015

  • Abraha, Michael; Chen, Jiquan; Chu, Housen
  • GCB Bioenergy, Vol. 7, Issue 6
  • DOI: 10.1111/gcbb.12239

Research on Coupled Human and Natural Systems (CHANS): Approach, Challenges, and Strategies
journal, April 2011

  • Alberti, Marina; Asbjornsen, Heidi; Baker, Lawrence A.
  • Bulletin of the Ecological Society of America, Vol. 92, Issue 2
  • DOI: 10.1890/0012-9623-92.2.218

Downscaling in remote sensing
journal, June 2013

  • Atkinson, Peter M.
  • International Journal of Applied Earth Observation and Geoinformation, Vol. 22
  • DOI: 10.1016/j.jag.2012.04.012

Radiative forcing over the conterminous United States due to contemporary land cover land use change and sensitivity to snow and interannual albedo variability
journal, January 2010

  • Barnes, Christopher A.; Roy, David P.
  • Journal of Geophysical Research, Vol. 115, Issue G4
  • DOI: 10.1029/2010JG001428

Disturbance and landscape dynamics in the Chequamegon National Forest Wisconsin, USA, from 1972 to 2001
journal, January 2004

An Introduction to Environmental Biophysics
book, January 1998

Exploiting satellite observations for global surface albedo trends monitoring
journal, October 2018

  • Chrysoulakis, Nektarios; Mitraka, Zina; Gorelick, Noel
  • Theoretical and Applied Climatology, Vol. 137, Issue 1-2
  • DOI: 10.1007/s00704-018-2663-6

Effects of habitat and landscape fragmentation on humans and biodiversity in densely populated landscapes
journal, July 2009

  • Di Giulio, Manuela; Holderegger, Rolf; Tobias, Silvia
  • Journal of Environmental Management, Vol. 90, Issue 10
  • DOI: 10.1016/j.jenvman.2009.05.002

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
journal, May 2012

Analysis Ready Data: Enabling Analysis of the Landsat Archive
journal, August 2018

  • Dwyer, John L.; Roy, David P.; Sauer, Brian
  • Remote Sensing, Vol. 10, Issue 9
  • DOI: 10.3390/rs10091363

Evaluation of Earth Observation based global long term vegetation trends — Comparing GIMMS and MODIS global NDVI time series
journal, April 2012

Modeling Sensitivity to Accuracy in Classified Imagery: A Study of Areal Interpolation by Dasymetric Mapping∗
journal, August 1996

Status of land cover classification accuracy assessment
journal, April 2002

Creating landscape patterns by forest cutting: Ecological consequences and principles
journal, July 1987

  • Franklin, Jerry F.; Forman, Richard T. T.
  • Landscape Ecology, Vol. 1, Issue 1
  • DOI: 10.1007/BF02275261

MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
journal, January 2010

  • Friedl, Mark A.; Sulla-Menashe, Damien; Tan, Bin
  • Remote Sensing of Environment, Vol. 114, Issue 1
  • DOI: 10.1016/j.rse.2009.08.016

The Collection 6 MODIS burned area mapping algorithm and product
journal, November 2018

Remote estimation of crop gross primary production with Landsat data
journal, June 2012

Seasonality of finely-resolved spatial structure of NDVI and its component reflectances in tallgrass prairie
journal, January 1998

  • Goodin, D. G.; Henebry, G. M.
  • International Journal of Remote Sensing, Vol. 19, Issue 16
  • DOI: 10.1080/014311698214280

A review of large area monitoring of land cover change using Landsat data
journal, July 2012

Pseudoreplication: a sine qua non for regional ecology
journal, March 1992

  • Hargrove, William W.; Pickering, John
  • Landscape Ecology, Vol. 6, Issue 4
  • DOI: 10.1007/BF00129703

Observations and Recommendations for the Calibration of Landsat 8 OLI and Sentinel 2 MSI for Improved Data Interoperability
journal, August 2018

  • Helder, Dennis; Markham, Brian; Morfitt, Ron
  • Remote Sensing, Vol. 10, Issue 9
  • DOI: 10.3390/rs10091340

Detecting change in grasslands using measures of spatial dependence with landsat TM data
journal, November 1993

Differentiating anthropogenic modification and precipitation-driven change on vegetation productivity on the Mongolian Plateau
journal, August 2015

An overview of MODIS Land data processing and product status
journal, November 2002

Bringing an ecological view of change to Landsat-based remote sensing
journal, August 2014

  • Kennedy, Robert E.; Andréfouët, Serge; Cohen, Warren B.
  • Frontiers in Ecology and the Environment, Vol. 12, Issue 6
  • DOI: 10.1890/130066

World Map of the Köppen-Geiger climate classification updated [World Map of the Köppen-Geiger climate classification updated]
journal, July 2006

Impacts of Thermal Time on Land Surface Phenology in Urban Areas
journal, May 2017

  • Krehbiel, Cole; Zhang, Xiaoyang; Henebry, Geoffrey
  • Remote Sensing, Vol. 9, Issue 5
  • DOI: 10.3390/rs9050499

The Problem of Pattern and Scale in Ecology: The Robert H. MacArthur Award Lecture
journal, December 1992

The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
journal, May 1996

Deciphering long-term records of natural variability and human impact as recorded in lake sediments: a palaeolimnological puzzle: A palaeolimnological puzzle
journal, December 2016

  • Mills, Keely; Schillereff, Daniel; Saulnier-Talbot, Émilie
  • Wiley Interdisciplinary Reviews: Water, Vol. 4, Issue 2
  • DOI: 10.1002/wat2.1195

Development of a global evapotranspiration algorithm based on MODIS and global meteorology data
journal, December 2007

  • Mu, Qiaozhen; Heinsch, Faith Ann; Zhao, Maosheng
  • Remote Sensing of Environment, Vol. 111, Issue 4
  • DOI: 10.1016/j.rse.2007.04.015

Dasymetric Modeling and Uncertainty
journal, November 2013

  • Nagle, Nicholas N.; Buttenfield, Barbara P.; Leyk, Stefan
  • Annals of the Association of American Geographers, Vol. 104, Issue 1
  • DOI: 10.1080/00045608.2013.843439

A multi-sensor approach towards a global vegetation corrected SRTM DEM product
journal, September 2016

Ecoregions of the Conterminous United States: Evolution of a Hierarchical Spatial Framework
journal, September 2014

Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks: SAMPLING EFFECT ON FLUXES UPSCALING
journal, October 2015

  • Papale, Dario; Black, T. Andrew; Carvalhais, Nuno
  • Journal of Geophysical Research: Biogeosciences, Vol. 120, Issue 10
  • DOI: 10.1002/2015JG002997

One Hundred Years of Dasymetric Mapping: Back to the Origin
journal, August 2012

Evidence for increased monoculture cropping in the Central United States
journal, January 2013

  • Plourde, James D.; Pijanowski, Bryan C.; Pekin, Burak K.
  • Agriculture, Ecosystems & Environment, Vol. 165
  • DOI: 10.1016/j.agee.2012.11.011

Terrestrial primary production for the conterminous United States derived from Landsat 30 m and MODIS 250 m
journal, March 2018

  • Robinson, Nathaniel P.; Allred, Brady W.; Smith, William K.
  • Remote Sensing in Ecology and Conservation, Vol. 4, Issue 3
  • DOI: 10.1002/rse2.74

Configuration entropy of fractal landscapes
journal, April 1998

  • Rodríguez-Iturbe, Ignacio; D'Odorico, Paolo; Rinaldo, Andrea
  • Geophysical Research Letters, Vol. 25, Issue 7
  • DOI: 10.1029/98GL00654

Landsat-8: Science and product vision for terrestrial global change research
journal, April 2014

Identifying scales of pattern in ecological data: a comparison of lacunarity, spectral and wavelet analyses
journal, March 2005

First operational BRDF, albedo nadir reflectance products from MODIS
journal, November 2002

Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach
journal, November 2016

  • Semmens, Kathryn A.; Anderson, Martha C.; Kustas, William P.
  • Remote Sensing of Environment, Vol. 185
  • DOI: 10.1016/j.rse.2015.10.025

S‐World: A Global Soil Map for Environmental Modelling
journal, September 2016

  • Stoorvogel, Jetse J.; Bakkenes, Michel; Temme, Arnaud J. A. M.
  • Land Degradation & Development, Vol. 28, Issue 1
  • DOI: 10.1002/ldr.2656

A general predictive model for estimating monthly ecosystem evapotranspiration
journal, December 2010

  • Sun, Ge; Alstad, Karrin; Chen, Jiquan
  • Ecohydrology, Vol. 4, Issue 2
  • DOI: 10.1002/eco.194

Albedo, Land Cover, and Daytime Surface Temperature Variation Across an Urbanized Landscape: ALBEDO OF URBAN LANDSCAPE
journal, November 2017

  • Trlica, A.; Hutyra, L. R.; Schaaf, C. L.
  • Earth's Future, Vol. 5, Issue 11
  • DOI: 10.1002/2017EF000569

An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data
journal, October 2005

  • Tucker, Compton J.; Pinzon, Jorge E.; Brown, Molly E.
  • International Journal of Remote Sensing, Vol. 26, Issue 20
  • DOI: 10.1080/01431160500168686

Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product
journal, July 2017

  • Wang, Zhuosen; Schaaf, Crystal B.; Sun, Qingsong
  • International Journal of Applied Earth Observation and Geoinformation, Vol. 59
  • DOI: 10.1016/j.jag.2017.03.008

Capturing rapid land surface dynamics with Collection V006 MODIS BRDF/NBAR/Albedo (MCD43) products
journal, March 2018

Achieving sub-pixel geolocation accuracy in support of MODIS land science
journal, November 2002

Land cover 2.0
journal, March 2018

  • Wulder, Michael A.; Coops, Nicholas C.; Roy, David P.
  • International Journal of Remote Sensing, Vol. 39, Issue 12
  • DOI: 10.1080/01431161.2018.1452075

Current status of Landsat program, science, and applications
journal, May 2019

  • Wulder, Michael A.; Loveland, Thomas R.; Roy, David P.
  • Remote Sensing of Environment, Vol. 225
  • DOI: 10.1016/j.rse.2019.02.015

Satellite-based modeling of gross primary production in an evergreen needleleaf forest
journal, February 2004

  • Xiao, Xiangming; Hollinger, David; Aber, John
  • Remote Sensing of Environment, Vol. 89, Issue 4
  • DOI: 10.1016/j.rse.2003.11.008

Analysis of leaf area index products from combination of MODIS Terra and Aqua data
journal, October 2006

Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method
journal, October 2017

Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data
journal, July 2010

Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
journal, January 2003

  • Zha, Y.; Gao, J.; Ni, S.
  • International Journal of Remote Sensing, Vol. 24, Issue 3
  • DOI: 10.1080/01431160304987

Monitoring vegetation phenology using MODIS
journal, March 2003

Generation and evaluation of the VIIRS land surface phenology product
journal, October 2018

Using the 500 m MODIS land cover product to derive a consistent continental scale 30 m Landsat land cover classification
journal, August 2017

Improvements of the MODIS terrestrial gross and net primary production global data set
journal, March 2005

  • Zhao, Maosheng; Heinsch, Faith Ann; Nemani, Ramakrishna R.
  • Remote Sensing of Environment, Vol. 95, Issue 2
  • DOI: 10.1016/j.rse.2004.12.011

Estimating aboveground biomass using Landsat 7 ETM+ data across a managed landscape in northern Wisconsin, USA
journal, November 2004

  • Zheng, Daolan; Rademacher, John; Chen, Jiquan
  • Remote Sensing of Environment, Vol. 93, Issue 3
  • DOI: 10.1016/j.rse.2004.08.008
    Sort by:
    [ × clear filter / sort ]

    Similar Records in DOE PAGES and OSTI.GOV collections: