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Remote Sens. 2015, 7(9), 12314-12335; doi:10.3390/rs70912314

A Phenology-Based Method for Monitoring Woody and Herbaceous Vegetation in Mediterranean Forests from NDVI Time Series

1
Department of Geography and Environment, Bar Ilan University, Ramat-Gan 5290002, Israel
2
Department of Biology and Environment, University of Haifa at Oranim, Kiryat Tivon 36006, Israel
3
Department of Natural Resources, Agricultural Research Organization, Volcani Center, Bet Dagan 50250, Israel
*
Author to whom correspondence should be addressed.
Academic Editors: Eileen H. Helmer, Clement Atzberger and Prasad S. Thenkabail
Received: 7 July 2015 / Revised: 6 September 2015 / Accepted: 11 September 2015 / Published: 21 September 2015
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Abstract

We present an efficient method for monitoring woody (i.e., evergreen) and herbaceous (i.e., ephemeral) vegetation in Mediterranean forests at a sub pixel scale from Normalized Difference Vegetation Index (NDVI) time series derived from the Moderate Resolution Imaging Spectroradiometer (MODIS). The method is based on the distinct development periods of those vegetation components. In the dry season, herbaceous vegetation is absent or completely dry in Mediterranean forests. Thus the mean NDVI in the dry season was attributed to the woody vegetation (NDVIW). A constant NDVI value was assumed for soil background during this period. In the wet season, changes in NDVI were attributed to the development of ephemeral herbaceous vegetation in the forest floor and its maximum value to the peak green cover (NDVIH). NDVIW and NDVIH agreed well with field estimates of leaf area index and fraction of vegetation cover in two differently structured Mediterranean forests. To further assess the method’s assumptions, understory NDVI was retrieved form MODIS Bidirectional Reflectance Distribution Function (BRDF) data and compared with NDVIH. After calibration, leaf area index and woody and herbaceous vegetation covers were assessed for those forests. Applicability for pre- and post-fire monitoring is presented as a potential use of this method for forest management in Mediterranean-climate regions. View Full-Text
Keywords: LAI; MODIS; Mt. Carmel; understory; wildfire; Yatir LAI; MODIS; Mt. Carmel; understory; wildfire; Yatir
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Helman, D.; Lensky, I.M.; Tessler, N.; Osem, Y. A Phenology-Based Method for Monitoring Woody and Herbaceous Vegetation in Mediterranean Forests from NDVI Time Series. Remote Sens. 2015, 7, 12314-12335.

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