Geoscience and Remote Sensing - Printable Version

Geoscience and Remote Sensing - Printable Version

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Geoscience and Remote Sensing - malc - 08-27-2011

Geoscience and Remote Sensing

1. Remote Sensing of the Ecology and Functioning of the Mekong River Basin
with Special Reference to the Tonle Sap
Benger and Simon Nicholas

2. Remote Sensing of Forest Health
Jyrki Tuominen, Tarmo Lipping, Viljo Kuosmanen and Reija Haapanen

3. Development of a High-Resolution Wireless Sensor Network for Monitoring
Volcanic Activity
José Chilo, Andreas Schlüter and Thomas Lindblad

4. On Position and Attitude Estimation for Remote Sensing with Bistatic SAR
Stefan Knedlik, Junchuan Zhou and Otmar Loffeld

5. Unmanned Airborne Platforms For Disaster Remote Sensing Support
Vincent G. Ambrosia and Steven S. Wegener

6. The Geomorphometry of Rainfall-Induced Landslides in Taiwan Obtained
by Airborne Lidar and Digital Photography
Jin-King Liu, Kuan-Tsung Chang, Jiann-Yeou, Wei-Cheng Hsu, Zu-Yi Liao, Chi-Chung Lau
and Tian-Yuan Shih

7. Description and Publication of Geospatial Information
Arturo Beltran, Laura Díaz, Carlos Granell, Joaquín Huerta and Carlos Abargues

8. Application of Real Time GIS, Remote Sensing and IC Tag for Realization
of Geospatial Informationsociety

Shikada Masaaki, Takeuchi Sayaka, Shimano Sota and Moriya Mitoshi
9. Integrated sea surface temperature products within a coastal ocean
observing system
Nadya T. Vinogradova

10. Soil Backgrounds Impact Analysis on Chlorophyll Indices Using Field, Airborne
and Satellite Hyperspectral Data
A. Bannari and K. Staenz

11. Simultaneous Estimation of Optical Properties of Asian Dust and Ground
Reflectance by Polarization Measurements
Takashi Kusaka and Ryuichi Taniguchi

12. Moving Target Detection and Velocity Estimation in Multi-Channel AT-InSAR
Systems from Amplitude and Phase Data
Alessandra Budillon

13. Monitoring tropical peat swamp deforestation and hydrological dynamics
by ASAR and PALSAR
Dirk Hoekman

14. Multivariate Differencing Techniques for Land Cover Change Detection:
the Normalized Difference Reflectance Approach
Paolo Villa, Giovanmaria Lechi, Mario A. Gomarasca

15. Using Kernel Methods under a Learning Machine Approach for Multispectral
Data Classification. An Application in Agriculture
Adrián González, José Moreno, Graham Russell and Astrid Márquez

16. Multivariate Time Series Support Vector Machine for Multispectral Remote
Sensing Image Classifications
Pei-Gee Peter Ho

17. Surface approximation from rapidly varying data: Applications to geophysical
surfaces and seafloor surfaces
Apprato Dominique, Gout Christian and Le Guyader Carole

18. Three-Dimensional Microwave Imaging using Synthetic Aperture Technique
Shi Jun, Zhang Xiaoling, Yang Jianyu, Liao Kefei and Wang Yinbo

19. Corn Monitoring and Crop Yield Using Optical and Microwave Remote Sensing
Jesus Soria-Ruiz, Yolanda Fernandez-Ordonez and Heather McNairn

20. Radargrammetric SAR image processing
Stéphane Méric, Franck Fayard and Éric Pottier

21. MAP Classification of a Reference Image Using Auxiliaries Images with Different
Prevalent Classes
Orlando Alves Máximo and David Fernandes

22. Optical Satellite Volcano Monitoring: A Multi-Sensor Rapid Response System
Kenneth A. Duda, Michael Ramsey, Rick Wessels and Jonathan Dehn

23. The Extended Integral Equation Model IEM2M for topographically modulated
rough surfaces
Jose Luis Alvarez-Perez

24. Microwave Remote Sensing of Soil Moisture in Semi-arid Environment
A. K. M. Azad Hossain and Greg Easson

25. Ensemble of retrieval algorithms and electromagnetic models for soil
and vegetation water content estimation from SAR images
Claudia Notarnicola

26. Methodology for investigation of the factors for georadar signals influencing
the directional pattern of synthetic aperture radar
Zolotarev I.D. and Miller Ya.E.

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RE: Geoscience and Remote Sensing - shadabg - 12-07-2012

Remote Sensing is collecting and interpreting information on targets without being in physical contact with the objects. Aircraft, satellites... etc are the major platforms for remote sensing observations. Unlike electrical, magnetic and gravity surveys that measure force fields, remote sensing technology is commonly referred to methods that employ electromagnetic energy as radio waves, light and heat as the means of detecting and measuring target characteristics.

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RE: Geoscience and Remote Sensing - lisine - 12-07-2012

Home page - Open access

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