Evaluating MODIS vegetation products using digital images for quantifying local peatland CO2 gas fluxes
Gatis, N; Anderson, K; Grand-Clement, E; et al.Luscombe, D; Hartley, I; Smith, D; Brazier, R
Date: 27 April 2017
Article
Journal
Remote Sensing in Ecology and Conservation
Publisher
Wiley Open Access
Publisher DOI
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 ...
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 coupled with 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 to a Green Red Vegetation Index (GRVI). These were compared with a range of MODIS vegetation products at various spatial resolutions. We found vegetation products with finer spatial resolution (<500 m) more accurately captured spring green-up (e.g. Normalised Difference Vegetation Index 16-day product) whilst those with 8-day temporal resolution better captured whole season dynamics. The 8-day Gross Primary Productivity (‘GPP8) and fraction of absorbed photosynthetically active radiation (fPAR8) products had the strongest daily Pearson’s correlations with camera derived GRVI (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.
Geography - old structure
Collections of Former Colleges
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