Mario Lillo-Saavedra

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Over recent decades, remote sensing has emerged as an effective tool for improving agriculture productivity. In particular, many works have dealt with the problem of identifying characteristics or phenomena of crops and orchards on different scales using remote sensed images. Since the natural processes are scale dependent and most of them are(More)
Very high resolution remotely sensed images are an important tool for monitoring fragmented agricultural landscapes, which allows farmers and policy makers to make better decisions regarding management practices. An object-based methodology is proposed for automatic generation of thematic maps of the available classes in the scene, which combines edge-based(More)
Keywords: Fractal dimension Fusion image Wavelet transform Texture Most fusion satellite image methodologies at pixel-level introduce false spatial details, i.e. artifacts, in the resulting fused images. In many cases, these artifacts appears because image fusion methods do not consider the differences in roughness or textural characteristics between(More)
The identification of vegetation using remote sensing imagery is an important area of work with numerous applications such as the analysis of deforestation and crop monitoring. This work focuses on locating populations of an endemic shrub of the Canary Islands that grows in Teide National Park: the Teide broom. The objective is to determine automatically(More)
Francisco Zambrano 1,∗,†, Mario Lillo-Saavedra 1,2,∗,†, Koen Verbist 3,4,† and Octavio Lagos 1,2,† 1 Departament of Water Resources, Universidad de Concepción, Chillán 3801061, Chile; octaviolagos@udec.cl 2 Water Research Center for Agriculture and Mining (CRHIAM) (CONICYT-FONDAP-15130015), Concepción 4070411, Chile 3 UNESCO-IHP, Hydrological Systems and(More)
This work proposes the use of Genetic Algorithms (GA) as an optimization method for the Linear Mixture Model (LMM), with the purpose of fusing multispectral images that preserve the best spatial and spectral features of the source images. The algorithm proposed has been evaluated for images registered by the Landsat 7 ETM+ sensor. In this study, the high(More)
Evapotranspiration (ET) estimates are required for many applications in agricultural and environmental management, from hydrological applications to crop models and irrigation scheduling. Improvement in irrigation water management is achieved when crop water use is accurately quantified in time and space. Conventionally, ET can be measured using Bowen ratio(More)
This paper proposes a new fusion method for multiespectral (MULTI) and panchromatic (PAN) images that uses a highly anisotropic and redundant representation of images. This methodology join the simplicity of the Wavelet transform, calculated using the à trous algorithm, with the benefits of multidirectional transforms like Contourlet Transform. That has(More)
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