Alicia Palacios-Orueta

Alicia Palacios-Orueta
Universidad Politécnica de Madrid | UPM · Departamento de Silvopascicultura

Ph.D.

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67
Publications
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Publications

Publications (67)
Chapter
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Rainfed crops occupy 76% of the cultivated area of Spain being distributed throughout the whole country. The yield of these crops depends on the great interannual variability of meteorological factors. The monitoring and prediction of crop dynamics is a key factor for their sustainable management from an environmental and socioeconomic point of vie...
Article
Full-text available
Multiple cropping systems constitute an essential agricultural practice that will ensure food security within the increasing demand of basic cereals as a consequence of global population growth and climate change effects. In this regard, there is a need to develop new methodologies to adequately monitor cropland intensification. The main objective...
Article
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Drought is a natural phenomenon in which the precipitation amount is below normal in a specific region over a long period. The main objective of this study is to identify periods of drought in Ecuador between 2001 and 2018 using the Standardized Precipitation Evapotranspiration Index (SPEI) and the Normalized Difference Water Index (NDWI) derived f...
Article
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Gross primary production (GPP) represents the carbon (C) uptake of ecosystems through photosynthesis and it is the largest flux of the global carbon balance. Our overall objective in this research is to identify and model GPP dynamics and its relationship with meteorological variables and energy fluxes based on time series analysis of eddy covarian...
Article
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There is a growing need to map rice ecosystems and to develop methods for monitoring rice distribution in order to account for rapid land use changes worldwide. In this study, we evaluated a methodology based on Vegetation Indices time series derived from an 8-day MODIS composite to identify rice fields and develop rice maps that can be timely upda...
Article
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Rainfed agriculture occupies the majority of the world's agricultural surface and is expected to increase in the near future causing serious effects on carbon cycle dynamics in the context of climate change. Carbon cycle across several temporal and spatial scales could be studied through spectral indices because they are related to vegetation struc...
Article
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Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB) provides a wide range of empirical data on European forests...
Article
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Climate change is expected to cause major changes in forest ecosystems during the 21 st century and beyond. To assess forest impacts from climate change, the existing empirical information must be structured, harmonised and assimilated into a form suitable to develop and test state-of-the-art forest and ecosystem models. The combination of empirica...
Preprint
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Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB) provides a wide range of empirical data to calibrate and ev...
Article
Full-text available
Vegetation seasonality assessment through remote sensing data is crucial to understand ecosystem responses to climatic variations and human activities at large-scales. Whereas the study of the timing of phenological events showed significant advances, their recurrence patterns at different periodicities has not been widely study, especially at glob...
Conference Paper
El estrés hídrico constituye un grave problema que se incrementa cada día. En la actualidad, las soluciones tradicionales no son capaces de predecir indicadores de resiliencia útiles para el sector agrícola y forestal. La solución propuesta, bajo el acrónimo FORWARD (operational monitoring and FOrecasting system for Resilience of agricultura and fo...
Article
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Forest aboveground biomass (AGB) estimation over large extents and high temporal resolution is crucial in managing Mediterranean forest ecosystems, which have been predicted to be very sensitive to climate change effects. Although many modeling procedures have been tested to assess forest AGB, most of them cover small areas and attain high accuracy...
Article
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Terrestrial evapotranspiration (ET) is a central process in the climate system, is a major component in the terrestrial water budget, and is responsible for the distribution of water and energy on land surfaces especially in arid and semiarid areas. In order to inform water management decisions especially in scarce water environments, it is importa...
Conference Paper
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Quantification of daily evapotranspiration at regional levels is fundamental for improving agricultural and hydrological management, especially in water-scarce and climatic change vulnerable regions, like the Mediterranean basin. Regional estimates of daily crop evapotranspiration (ET) have been historically based on combination equations, such as...
Article
Full-text available
Rice agricultural practices and hydroperiod dates must be determined to obtain information on water management practices and their environmental effects. Spectral indices derived from an 8-day MODIS composite allows to identify rice phenometrics at varying degrees of success. The aims of this study were (1) to assess the dynamics of the Normalized...
Article
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Agroforestry ecosystems have a significant social, economic and environmental impact on the development of many regions in the world. On the Iberian Peninsula the Mediterranean agroforestry oak forest known as the dehesa or montado (usually formed by species of the genus Quercus) is considered to be the extreme case of transformation of a Mediterra...
Conference Paper
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This research focuses on a semi-arid, agricultural area in Central Spain near Madrid, in which airborne hyperspectral images have been obtained. Small-scale soil erosion features are exposed at the surface as a consequence of human induced soil erosion derived mainly from tillage practice. Such features are associated with different soil horizons a...
Conference Paper
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According to the United Nations, more than 50 percent of the world population depends on rice for about 80 percent of its food requirements. Besides, rice fields are important aquatic ecosystems, hosting a great variety of aquatic species. However, environmental issues such as water consumption and the emission of greenhouse gases, as well as the e...
Conference Paper
We are at the fourth year from starting a new degree in Natural Environmental Engineering (NEED) at the Technical University of Madrid (UPM). After three complete years, almost all the essential courses in the degree have been taught and it is time to summarize and check for any inconsistencies, gaps and overlaps. All the analyses are being carried...
Article
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This paper aims to estimate the seasonality of forest fires and their annual anomalies from the FPI risk index in Navarra (Spain) during the period 2001 - 2008. The aim of this analysis is to investigate whether the fire risk dynamics follows a stable pattern adjusted to the fire campaign, and if its study allows a better adaptation of the fire cam...
Conference Paper
In a Mediterranean semiarid area in Central Spain, with dominant rainfed agriculture, hyperspectral airborne data, supported by field spectroscopy have been obtained, allowing a spectral identification of bare soil with the corresponding erosion stages. The definition of soil erosion stages is based on a spectral characterization supported by morph...
Article
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'Methodology for integrating information from remote sensing for forest fire prevention by statistical prediction'. In this paper we develop specific models to estimate and forecast the forest fire risk by mean of the integration of the statistical analysis of time series in the remote sensing and forest fire domains. The fire risk indexes used we...
Article
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Biomass burning is a major source of greenhouse gas emissions in developing countries. In Colombia, land use change, forestry and agriculture are responsible for more than 50% of the total greenhouse gas emissions. Fire is commonly used as a mechanism for land use change. In Colombia the Llanos Orientales and the Amazonia are subject to biomass bur...
Article
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Monitoring changes in soil and vegetation is crucial in fragile Mediterranean semiarid environments. To identify early perturbation warnings using radiometric techniques, the spectral variability of the ecosystem components must be understood and the ranges of their natural variability established. This paper aims to assess the potential of hypersp...
Article
Question: Does vegetation buffer or amplify rainfall perturbations, and is it possible to forecast rainfall using mesoscale climatic signals? Location: Central California (USA). Methods: The risk of dry or wet rainfall events was evaluated using conditional probabilities of rainfall depending on El Niño Southern Oscillation (ENSO) events. The propa...
Article
We utilized Fire Potential Index (FPI) to assess quantitatively fire season in a Mediterranean and a Temperate ecoregion of Iberian Peninsula by means of Time Series Analysis. The FPI was derived using MODIS NDWI and NDVI time series as indicators of vegetation status. Temperature and relative humidity time series from meteorological stations were...
Chapter
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The present study analyzes the utility of the MODIS index AS1 for identifying phenological dynamics in three vegetation types and under different climates. In addition, it evaluates the additional information provided by SAs (Spectral Angles) in order to complement traditional indexes (NDVI and NDWI) information. Time series anlaysis is used to ide...
Article
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Desert ecosystems spanning moisture conditions from dry grasslands to barren hyper-arid landscapes are the largest terrestrial biome with more than 40% of the terrestrial landmass. Remote sensing data provide an efficient cost-effective means to assess biophysical indicators of land degradation and desertification, providing that essential ecosyste...
Article
Wildfire significantly impacts forest ecosystems throughout the world. At the regional scale, wildfire affects a wide range of ecological, economic and social values related to forests. At the global scale, forest fire emissions of greenhouse gases, particulates and aerosols emissions into the atmosphere, direct and significantly impacts on atmosph...
Article
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This paper presents a method to increase the level of detail of aboveground biomass estimates at a regional scale. Methods are based on empirical relationships while materials are based on MODIS products and field measurements; the area covers from 4° south up to 12° north of the Equator with a total of 1,139,012 km2 corresponding to the continenta...
Article
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En ecosistemas semiáridos mediterráneos la alta variabilidad espacial y la baja actividad de la vegetación hacen que las técnicas de teledetección multiespectrales presenten severas limitaciones en el estudio de variables como la cobertura vegetal. La cobertura vegetal está relacionada con la productividad del ecosistema y su cuantificación resulta...
Article
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Greenhouse horticulture has experienced in recent decades a dramatic spatial expansion in the semiarid province of Almeria, in southeastern (SE) Spain, reaching a continuous area of 26,000 ha in 2007, the widest greenhouse area in the world. A significant surface air temperature trend of -0.3°C decade-1 in this area during the period 1983-2006 is f...
Conference Paper
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In this work, daily latent heat (lambdaEd) or evapotranspiration and sensible heat (Hd) fluxes were estimated from the TVDI (Temperature Vegetation Dryness Index) modified to account for climatic gradients (TVDIt) using MODIS data in a Spanish region (Andalusia) with strong bioclimatic gradients. The TVDIt was correlated (R=0.90) with field measure...
Article
Full-text available
This paper presents a method to increase level of detail for above ground biomass estimates at a re- gional scale. The methodology and materials are based on MODIS products and field measurements corresponding to the continental area of Colombia, covering from 4 degrees south up to 12 degrees north of the Equator with a total of 1,139,012 km2 . Veg...
Article
Understand and predict how forest fire potential changes over time are essential for prioritizing forest management activities and reducing damage. Nowadays we lack the capacity to predict future forest fire trends in response to climate change. The main goal of this research is to build an empirical model to describe, estimate and forecast the for...
Article
A new index was proposed to estimate soil and vegetation moisture based on NIR (858 nm) and SWIR (1240 and 1640 nm) MODIS bands. The Shortwave Angle Slope Index (SASI) parameterizes the general shape of the NIR–SWIR part of the spectrum. We expand on the novel approach used to develop SASI by proposing another index, the Angle at NIR (ANIR). We use...
Article
Precision agriculture requires high spectral and spatial resolution imagery for advanced analyses of crop and soil conditions to increase environmental protection and producers' sustainability. GIS models that anticipate crop responses to nutrients, water, and pesticides require high spatial detail to generate application prescription maps. While t...
Conference Paper
Full-text available
We put forward a new spectral index, Shortwave Angle Normalized Index (SANI), based on the NIR and SWIR MODIS bands. The new index parameterizes the general shape of this part of the spectrum by measuring the angle at SWIR1 and the normalized index between NIR and SWIR2. Preliminary results show that it performs well in tracking moisture and discri...
Article
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Estimating trace gases emissions from biomass burning is a complex issue due to the large number of variables that are involved in the process. Level of uncertainty comprises several factors directly related to the working scale and each of the variables involved in the models.The paper introduces an approximation of the level of uncertainty for se...
Article
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High spectral resolution of hyperspectral images promise mineral identification and abundance estimates of bare soils for advancing precision farming and carbon cycle modeling. Under desiccated conditions, investigators have shown that band parameter measurements (position, depth, width, and derivatives) can be used as reliable estimators of minera...
Article
The goal of this study is to develop remote sensing desertification indicators for drylands, in particular using the capabilities of imaging spectroscopy (hyperspectral imagery) to derive soil and vegetation specific properties linked to land degradation status. The Cabo de Gata-Nijar Natural Park in SE Spain presents a still-preserved semiarid Med...
Article
The goal of this study is to develop remote sensing desertification indicators for drylands, in particular using the capabilities of imaging spectroscopy (hyperspectral imagery) to derive soil and vegetation specific properties linked to land degradation status. The Cabo de Gata-Nijar Natural Park in SE Spain presents a still-preserved semiarid Med...
Article
Full-text available
A spatially explicit model for analysis of biomass burning emissions is presented. The model, based on that of Seiler and Crutzen [1980], uses satellite images and geographic information systems (GIS) modeling tools to improve the estimation of biomass loads and burning efficiency. The model was assessed in the African continent using the Global Bu...
Article
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The assessment of burning efficiency (BE) is a critical parameter for estimating gas emissions derived from biomass burning. Several authors have proven a strong dependence of BE on moisture conditions of the fuel. This paper presents an empirical study where the relationships between fuel moisture content (FMC) and satellite-derived variables are...
Article
This paper deals with low-cost ground segments for the operation of small satellites which can be considered as a contribution to the overall cost reductions as requested by the nowadays governments and space agencies policy. One of the most important aspects in developing a low-cost ground segment is certainly to make use of "commercial of-the-she...
Article
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A new spectral index named Burned Area Index (BAI), speci cally designed for burned land discrimination in the red–near-infrared spectral domain, was tested on multitemporal sets of Landsat Thematic Mapper (TM) and NOAA Advanced Very High Resolution Radiometer (AVHRR) images. The utility of BAI for burned land discrimination was assessed against ot...
Article
Full-text available
This paper presents methods to generate fuel type maps from remote sensing data at a spatial and temporal scale adequate for operational fire management applications. Fuel type maps account for structural characteristics of vegetation related to fire behaviour and fire propagation. A fuel type classification system adapted to the ecological charact...
Article
Full-text available
The estimation of the amount of gas released in wildland fires is a complex issue due to the large number of variables that are involved the emission process. Authors have approached this type of analysis in several ways, depending the factors such as the size of the region under study, the working scale and the requirement of accuracy, among other...
Article
Hierarchical foreground and background analysis (HFBA) was used to discriminate soil properties from two valleys in the Santa Monica Mountains Recreation Area, California. The analysis was organized in two levels. First, spectral data from laboratory measured soil samples were used to train a vector in AVIRIS data for classifying the soils between...
Article
California chaparral ecosystems are exceptionally fire adapted and typically are subject to wildfire at decadal to century frequencies. The hot dry Mediterranean climate summers and the chaparral communities of the Santa Monica Mountains make wildfire one of the most serious economic and life-threatening natural disasters faced by the region. Addit...
Article
AVIRIS (Advanced Visible/Infrared Imaging Spectrometer) bands were simulated from laboratory spectra to test their performance in analyzing soil properties from a semiarid region. Multivariate analysis, specifically principal component analysis and canonical discriminant analysis, as well as band depth analysis were applied to study the effect of o...
Article
The purpose of this work was to evaluate whether AVIRIS (Advanced Visible Infrared Imaging Spectrometer) bands can be used to discriminate between soils having similar properties, as well as to compare AVIRIS spectra with those from laboratory measurements. Multivariate analysis techniques show that two soils belonging to the same series and a thir...
Article
Full-text available
The overall goal of this study is to develop remote sensing desertification indicators for drylands, in particular using the capabilities of imaging spectroscopy (hyperspectral imagery) to derive soil and vegetation specific properties linked to land degradation status. For this purpose, a hyperspectral (field and remote sensing) monitoring program...
Article
Full-text available
A new spectral index named Burned Area Index (BAI), speciécally designed for burned land discrimination in the red-near-infrared spectral domain, was tested on multitemporal sets of Landsat Thematic Mapper (TM) and NOAA Advanced Very High Resolution Radiometer (AVHRR) images. The utility of BAI for burned land discrimination was assessed against ot...
Article
Full-text available
This study presents the development of a Forest Fire Potential Index at a regional scale for the Autonomic Community of Navarra at 500 meters spatial resolution. The index developed is based on the Fire Potential Index (FPI) applied by Sebastián (2001) at European scale and designed originally by Burgan (1998). The FPI is a dynamic Forest Fire Pote...
Article
Full-text available
RESUMEN La quema de biomasa es una fuente importante de gases efecto invernadero en países en vías de desarrollo. En Colombia, el cambio de uso del suelo, la silvicultura y el sector agropecuario superan el 50% de las emisiones totales de efecto inverna-dero. El fuego se utiliza con frecuencia como un mecanismo para cambiar el uso del suelo. Los Ll...
Article
Thesis (Ph. D.)--University of California, Davis, 1997. Degree granted in Soil Science.

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