Forests 2014, 5(7), 1798-1814; doi:10.3390/f5071798
Optical Medium Spatial Resolution Satellite Constellation Data for Monitoring Woodland in the UK
1
Geography Department, Adekunle Ajasin University Akungba-Akoko, 23401 Ondo-State, Nigeria
2
School of Environment and Life Sciences, University of Salford, Salford M5 4WT, UK
*
Author to whom correspondence should be addressed.
Received: 7 March 2014 / Revised: 23 June 2014 / Accepted: 2 July 2014 / Published: 23 July 2014
(This article belongs to the Special Issue Applications of Remote Sensing to Forestry)
Abstract
The aim of this study was to test the potential of a constellation of remote sensing satellites, the Disaster Monitoring Constellation (DMC), for retrieving a temporal record of forest leaf area index (LAI) in the United Kingdom (U.K.). Ground-based LAI measurements were made over a 12-month period in broadleaf woodland at Risley Moss Nature Reserve, Lancashire, U.K. The ground-based LAI varied between zero in January to a maximum of 4.5 in July. Nine DMC images, combining data from UK-DMC and NigeriaSat-1, were acquired, and all images were cross-calibrated and atmospherically corrected. The spectral reflectance of the test site was extracted, and a range of vegetation indices were then computed and correlated with the ground measurements of LAI. The soil adjusted vegetation index (SAVI) had the strongest correlation, and this was used to derive independent estimates of LAI using the “leave-one-out” method. The root mean square error of the LAI estimates was 0.47, which was close to that calculated for the ground-measured LAI. This study shows, for the first time, that data from a constellation of high temporal, medium spatial resolution optical satellite sensors may be used to map seasonal variation in woodland canopy leaf area index (LAI) in cloud-prone areas, like the U.K. View Full-TextKeywords:
phenology; leaf area index; broadleaf woodland; high temporal resolution imagery; northwest England; DMC; Landsat ETM
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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MDPI and ACS Style
Ogunbadewa, E.Y.; Armitage, R.P.; Danson, F.M. Optical Medium Spatial Resolution Satellite Constellation Data for Monitoring Woodland in the UK. Forests 2014, 5, 1798-1814.