Development of indicators of vegetation recovery based on time series analysis of spot vegetation data

S. Lhermitte; M. Tips; J. Verbesselt; I. Jonckheere; J. Van Aardt; Pol Coppin

doi:10.1117/12.627625

18 October 2005 Development of indicators of vegetation recovery based on time series analysis of SPOT Vegetation data

S. Lhermitte, M. Tips, J. Verbesselt, I. Jonckheere, J. Van Aardt, Pol Coppin

Proceedings Volume 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII; 59760F (2005) https://doi.org/10.1117/12.627625
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

Large-scale wild fires have direct impacts on natural ecosystems and play a major role in the vegetation ecology and carbon budget. Accurate methods for describing post-fire development of vegetation are therefore essential for the understanding and monitoring of terrestrial ecosystems. Time series analysis of satellite imagery offers the potential to quantify these parameters with spatial and temporal accuracy. Current research focuses on the potential of time series analysis of SPOT Vegetation S10 data (1999-2001) to quantify the vegetation recovery of large-scale burns detected in the framework of GBA2000. The objective of this study was to provide quantitative estimates of the spatio-temporal variation of vegetation recovery based on remote sensing indicators. Southern Africa was used as a pilot study area, given the availability of ground and satellite data. An automated technique was developed to extract consistent indicators of vegetation recovery from the SPOT-VGT time series. Reference areas were used to quantify the vegetation regrowth by means of Regeneration Indices (RI). Two kinds of recovery indicators (time and value- based) were tested for RI's of NDVI, SR, SAVI, NDWI, and pure band information. The effects of vegetation structure and temporal fire regime features on the recovery indicators were subsequently analyzed. Statistical analyses were conducted to assess whether the recovery indicators were different for different vegetation types and dependent on timing of the burning season. Results highlighted the importance of appropriate reference areas and the importance of correct normalization of the SPOT-VGT data.

Citation Download Citation

S. Lhermitte, M. Tips, J. Verbesselt, I. Jonckheere, J. Van Aardt, and Pol Coppin "Development of indicators of vegetation recovery based on time series analysis of SPOT Vegetation data", Proc. SPIE 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII, 59760F (18 October 2005); https://doi.org/10.1117/12.627625

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KEYWORDS

Vegetation

Near infrared

Short wave infrared radiation

Reflectivity

Combustion

Satellites

Ecosystems

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