Evaluating MODIS vegetation products using digital images for quantifying local peatland CO2 gas fluxes
Authors:
Open Access
- 27 April 2017
- journal article
- research article
- Published by Wiley in Remote Sensing in Ecology and Conservation
- Vol. 3 (4) , 217-231
Abstract
In peatlands plant growth and senescence affect annual ecosystem carbon dioxide (CO2) exchange, and CO2 fluxes show considerable inter‐annual variability. Phenology is a fundamental indicator of ecosystem carbon dynamics and can be measured from remote sensing systems, but the extent to which satellite products provide useful proxies of peatland vegetation phenology is not well known. Using MODIS vegetation products coupled with field observations of phenology from a basic camera system and measurements of Gross Primary Productivity (GPP) measured using a closed chamber method, we sought to establish the extent to which satellite observations capture phenological processes at a UK peatland site. Daily, true‐colour digital images were captured with a time‐lapse camera (Brinno TLC100) between 23‐Apr‐2013 and 29‐Oct‐2013 and converted into a Green‐Red Vegetation Index (GRVI). These were compared with a range of MODIS vegetation products at various spatial resolutions. We found that vegetation products with finer spatial resolution (r > 0.90). The camera‐GRVI (P = 0.005, r = 0.98) and MODIS‐GRVI (P = 0.041, r = 0.89) products showed the strongest significant correlations with gross primary productivity measured using static chambers in the field. This work demonstrates that freely available MODIS data captured up to 92% of the daily variation in phenology over an upland peatland. This approach shows great potential for capturing ecosystem carbon dynamics which underpin carbon trading schemes, a budding funding source for peatland restoration projects.Keywords
Funding Information
- University of Exeter (SK05284)
- Technology Strategy Board
- Natural Environment Research Council
This publication has 66 references indexed in Scilit:
- Seasonal variations in phenology and productivity of a tropical dry deciduous forest from MODIS and HyperionAgricultural and Forest Meteorology, 2015
- Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validationEcological Informatics, 2014
- Linking ground-based to satellite-derived phenological metrics in support of habitat assessmentRemote Sensing Letters, 2012
- Peatlands: our greatest source of carbon credits?Carbon Management, 2011
- Assessing greenhouse gas emissions from peatlands using vegetation as a proxyHydrobiologia, 2011
- Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizationsRemote Sensing of Environment, 2009
- Quantitative phenological observations of a mixed beech forest in northern Switzerland with digital photographyJournal of Geophysical Research: Biogeosciences, 2008
- Monitoring spring canopy phenology of a deciduous broadleaf forest using MODISRemote Sensing of Environment, 2006
- A global prognostic scheme of leaf onset using satellite dataGlobal Change Biology, 2000
- Barley and its Environment. IV. Sources of Assimilate for the GrainJournal of Applied Ecology, 1975