6533b858fe1ef96bd12b6c06
RESEARCH PRODUCT
Vegetation cover seasonal changes assessment from TM imagery in a semi-arid landscape
Joaquin MeliaF. Camacho-de CocaFrancisco Javier García-haroMaría Amparo Gilabertsubject
HydrologySpectral signaturemedia_common.quotation_subjectContext (language use)VegetationEnhanced vegetation indexAridNormalized Difference Vegetation IndexDesertificationGeneral Earth and Planetary SciencesPlant coverEnvironmental sciencePhysical geographymedia_commondescription
This work evaluates the suitability of spectral mixture analysis (SMA) methods to assess vegetation cover seasonal changes in a desertification context. Our main interest is to produce remotely sensed derived maps, sensitive to vegetation activity and quite independent of the soil background. A further aim is to analyse the inter-annual variations of this magnitude for different natural vegetation species, in response to seasonal and climatic changes. Fractional vegetation cover (FVC) was obtained using a Variable Endmember Spectral Mixture Analysis (VESMA) technique. The aim is to identify the main vegetation cover and lithological units and decompose them in separate stages. The use of specific spectral signatures for each pixel allows for a better adaptation of the endmembers to local conditions, which is an important prerequisite to ensure the accuracy of fractions. The method has been tested on a well documented area, the Guadalentin river basin, located in south-eastern Spain. Unlike pine forest and...
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2004-09-01 | International Journal of Remote Sensing |