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A Review of Landsat TM/ETM based Vegetation Indices as Applied to Wetland Ecosystems

Journal of Geographical Research 2019年第1期2卷 35-49页

作者： Gema Marco Dos Santos ignacio meléndez-pastor Jose Navarro-Pedreno ignacio Gómez Lucas Departamento de Agroquímica y Medio Ambiente. Universidad Miguel Hernández de Elche. Av. Universidad s/n. E-03202. Elche Spain

A review of vegetation indices as applied to Landsat-TM and ETM+ multispectral data is presented. The review focuses on indices that have been developed to produce biophysical information about vegetation biomass/ greenness, moisture and pigments. In addition, a set of biomass/greenness and moisture content indices are tested in a Mediterranean semiarid wetland environment to determine their appropriateness and potential for carrying redundant information. The results indicate that most vegetation indices used for biomass/greenness mapping produce similar information and are statistically well correlated.

关键词： Biomass Greenness Leaf reflectance NDVI SAVI Semi-arid environments

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Using Landsat Images to Determine Water Storing Capacity in Mediterranean Environments

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Journal of Geographical Research 2021年第4期4卷 58-67页

作者： Gema Marco Dos Santos Jose Navarro-Pedreño ignacio meléndez-pastor ignacio Gómez Lucas Departament of Agrochemistry and Environment University Miguel Hernández of ElcheEdifAlcudiaElche03202Spain

Reservoirs play an important role in water management and are key elements for water *** is needed in order to guarantee the quantity and quality of stored ***,this task is sometimes not *** objective of this study was to develop a procedure for predicting volume of stored water with remote sensing in water bodies under Mediterranean climate *** achieve this objective,multispectral Landsat 7 and 8 images(NASA)were analyzed for the following five reservoirs:La Serena,La Pedrera,Beniarrés,Cubillas and Negratín(Spain).Reservoirs water surface was computed with the spectral angle mapper(SAM)*** that,cross-validation regression models were computed in order to assess the capability of water surface estimations to predict stored water in each of the *** statistical models were trained with Landsat 7 images and were validated by using Landsat 8 *** results suggest a good capability of water volume prediction from free satellite imagery derived from surface water *** free remote sensing images and open source GIS algorithms can be a very useful tool for water management and an integrated and efficient way to control water storage,especially in low accessible sites.

关键词： Climate change Decision-making tools GIS Reservoir Water storage

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