REMOTE SENSING TECHNIQUE

ISBN 978-953-307-005-6Hard cover, 742 pagesPublisher InTechPublished online 01, October, 2009Published in print edition October, 2009InTech EuropeUniversity Campus STeP Ri Slavka Krautzeka 83/A 51000 Rijeka, Croatia Phone: +385 (51) 770 447 Fax: +385 (51) 686 166www.intechopen.comInTech ChinaUnit 40[r]

When seen from space, “Planet Earth” is a mix of clouds, with the majority (two thirds) of the total surface under ocean water with the remaining third of land forming what we call continents, with various degrees of increasing albedo from open water bodies, vegetation, bare soil, rocks, deserts, a[r]

148Some Pre-Analysis Techniques of Remote Sensing Images for Land-Use in Mekong DeltaRemote sensing is the science and art ofcollecting data by technical means on an objecton or near the earth’s surface and interpretingthe same to provide useful information. Manyresults have ind[r]

radiation plots used for the flow of sensible and latent heat. The analysis of data collected by artificial satellites orbiting planet earth, allows the determination of various physical properties of planet, consequently, spatial and temporal modifications of different ecosystems are able to be ide[r]

cái màn hình vô tri vô giác vừa câm vừa điếc - do đó bạn không thể thực hiện điều gì thực sự trên laptop . Còn trên remote_node thì bạn đã thực sự kết nối với mạng . Nghĩa là mặc dầu tốc độ truy cập không thay đổi nhưng bạn có thể viết email or soạn văn bản rồi gửi đi khi kết nối với telephon[r]

1.3.3 Screening the feature space of candidate predictorsWhen dealing with datasets associated with numerous independent variables, one aim isto reduce the dimensionality of the feature space. Even though heuristic approaches mayoften be used to deal with highly-correlated variable sets, application[r]

N appear at lower frequency positions within the spectrum. This is called aliasing. Aliased compo-nents add to the components which are really at a lower frequency, and this can cause a very distorted impression of the true spectrum. For this reason, low-pass anti-alias-ing lters should be used to[r]

R``uw is the average momentum ux of u momentum in the –202468100246810FIGURE 2.2 Typical time series of wind components u (dark line), v (dotted line), and w(thin line) showing mean and uctuating parts.© 2008 by Taylor & Francis Group, LLC14 Atmospheric Acoustic Remote Sensingz-dire[r]

CRC Press is an imprint of Taylor & Francis Group, an Informa businessNo claim to original U.S. Government worksPrinted in the United States of America on acid-free paper10 9 8 7 6 5 4 3 2 1International Standard Book Number-13: 978-0-8493-3588-4 (Hardcover)This book contains information obt[r]

population dynamics will also be discussed. 2. Individual-level phenomena 2.1 Allometry and allocation strategy Allometry (Greek allos, “other”, and metron, “measure”; Huxley, 1932) is the study of size-correlated variations in biological forms and processes. Niklas (1994) recognizes three conceptua[r]

Table 1. General description of the two selected sites in central and west of Iran Application of Artificial Neural Network (ANN) to Predict Soil Organic Matter Using Remote Sensing Data in Two Ecosystems 185 2.2 Soil sampling and laboratory analysis A total of 125 soil samples were c[r]

verydetaileddenitionoflandcoverboundariesandindividualvegetationunitsispossible at specic locations. However, high image cost and small image footprintsmean that this approach is still impractical for widespread change detection. Recentresearch has shown that detection of changes in forest systems[r]

1977RASS SystemsRadio acoustic sounding systems (RASSs) are remote-sensing systems for the mea-surement of the temperature prole in the lower atmosphere. RASSs are deployed routinely in experiments and at monitoring sites as a simple addition to either a SODAR (SOund Detection And Ran[r]

,4f5/2,4f7/2and oxygen 1s (O 1s) can be detected in thespectrum. The photoelectron peaks of chloride cannot beobserved in this spectrum. This indicates that the films an-nealed at 500◦C for 5 h consist of only oxygen and tungstenelements. As shown in Fig. 2(b), the photoelecton peak ofO 1s is found t[r]

C in 1989 to 49.4oC in 2006. It was only the instantaneous results in the time of image acquisition. But if it is considered that the 2006 image was recorded in the late of cool period of December, it could be think that the temperature was increased by time. The remote sensing method[r]

0.00.51.01.52.02.53.00 100 200 300 400Power SpectrumFIGURE 6.4 The effect of averaging the power spectrum shown in Figure 6.3.3588_C006.indd 163 11/20/07 4:18:20 PM© 2008 by Taylor & Francis Group, LLC164 Atmospheric Acoustic Remote Sensing6.2.5 SCALING WITH TRANSMIT FREQUENCYA[r]

3588_C005.indd 123 11/20/07 4:23:30 PM© 2008 by Taylor & Francis Group, LLC124 Atmospheric Acoustic Remote Sensingmixing process can be understood from the plot in Figure 5.22 of a modulated echo signal (top trace). The second trace shows the mixing signal which is multiplied with the[r]

     ka Jka ka FIGURE 4.7 The polar intensity pattern from a uniformly radiated dish of radius a.3588_C004.indd 59 11/20/07 4:57:00 PM© 2008 by Taylor & Francis Group, LLC60 Atmospheric Acoustic Remote SensingAgain, the off-axis inten[r]

understanding of the processes that determine the relationships between the prop-erty the sensor actually measures and the surface properties we are interested inidentifying and studying. Knowledge of these relationships is a prerequisite forappropriate processing and interpretation. This booklet pr[r]