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Satellite Based Evapotranspiration Estimation Using SEBAL Model

presently most suited Surface Energy Balance Algorithm for Land (SEBAL), a remote sensing based ET model, was applied to Landsat TM imagery;

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Estimation of Evapotranspiration Rates in Irrigated Lands of the Fergana Valley using Stable Isotopes

Estimation of Evapotranspiration Rates in Irrigated Lands of the Fergana Valley using Stable Isotopes is een boek van Cuvillier Verlag;

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Evapotranspiration Over Heterogeneous Vegetated Surfaces

dual source scheme and trapezoid framework based ET model (HTEM), using remote sensing images is developed. This model is verified with data;

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Modelling Regional Actual Evapotranspiration Using Satellite Data

to water and energy balances on the Earth's surface. In the last two decades many models have been developed to estimate evapotranspiration;

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Modelling and Parameter Estimation of Dynamic Systems

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system;

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Spatial Variation of Reference Evapotranspiration and its Influence on the Hydrology of Luvuvhu River Catchment, Limpopo Province, South Africa

its influence on the hydrology of Luvuvhu River Catchment using a physically based model. The ETo plays a key role in irrigation systems;

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Underwater Vehicles Design and Applications

vehicle dynamics. The authors investigate the performances of different control schemes, from non-model-based to model-based and adaptive model;

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Evaporation, Evapotranspiration, and Irrigation Water Requirements

estimating the water quantities needed for irrigation of crops based upon the physics of evaporation and evapotranspiration (ET). This new edition;

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Occupancy Estimation and Modeling

Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four;

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Solar Energy at Urban Scale

, Urban Heat Island), light and heat modeling (climate-based daylight modeling, geometrical models of the city, solar radiation modeling for urban;

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Structural Econometric Models

discrete choice models. This includes using new estimation methods for these models based on Euler equations, estimation using sieve approximation;

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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators;

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Methods of Statistical Model Estimation

algorithms used for statistical model fitting. The text presents algorithms for the estimation of a variety of regression procedures using;

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Methods of Statistical Model Estimation

algorithms used for statistical model fitting. The text presents algorithms for the estimation of a variety of regression procedures using;

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Model-Based Processing for Underwater Acoustic Arrays

This monograph presents a unified approach to model-based processing for underwater acoustic arrays. The use of physical models in passive;

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Cyber-Physical Power Systems State Estimation

modeling and power flow equations for state estimation before addressing quasi static state estimation in electrical power systems using Weighted;

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Statistics for Research in Psychology: A Modern Approach Using Estimation

Statistics for Research in Psychology offers an intuitive approach to statistics based on estimation for interpreting research;

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Error Estimation for Pattern Recognition

This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error;

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Rainfall

-based direct measurement (disdrometer and rain gauge), weather radar rainfall estimation, polarimetric radar rainfall estimation, and satellite;

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Evapotranspiration

received in semi-arid and sub-humid climates is lost to the atmosphere through evapotranspiration, accurate estimations of ET are of crucial need;

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New Classification Method Based on Modular Neural Networks with the LVQ Algorith

In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector;

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Computer-Aided Highway Engineering

road infrastructures. It discusses Digital Terrain Model (DTM) using satellite data including highway geometric, pavement and tunnel design;

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Space Electronic Reconnaissance

basic terminology of passive localization, single satellite geolocation technology based on direction finding, three-satellite geolocation;

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Hydrologic Remote Sensing

, evapotranspiration and total water storage on a global scale. As water security is one of the most critical issues in the world, satellite remote sensing;

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The application of optical satellite imagery and census data for urban population estimation

play an important role. In this dissertation, a methodology is presented to spatially model the intercensal population of Ahmedabad for;

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Bayesian Methods in the Search for MH370

This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution;

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Small Area Estimation

based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased;

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