"Geoscience and Remote Sensing" ed by Pei-Gee Peter Ho

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"Geoscience and Remote Sensing" ed. by Pei-Gee Peter Ho
InTeOpP | 2009 | ISBN: 953307003X 9789533070032 | 606 pages | PDF | 106 MB

This book covers developments in remote sensing novel theory and applications by numerous scholars, researchers and experts.

The geoscience encompass earth, atmospheric, oceanography, pedology, petrology, mineralogy, hydrology and geology.
This book includes chapters on optical and infrared modeling, microwave scattering propagation, forests and vegetation, soils, ocean temperature, geographic information , object classification, data mining, image processing, passive optical sensor, multispectral and hyperspectral sensing, lidar, radiometer instruments, calibration, active microwave and SAR processing.

1 Remote Sensing of the Ecology and Functioning of the Mekong River Basin with Special Reference to the Tonle Sap
2 Remote Sensing of Forest Health
3 Development of a High-Resolution Wireless Sensor Network for Monitoring Volcanic Activity
4 On Position and Attitude Estimation for Remote Sensing with Bistatic SAR
5 Unmanned Airborne Platforms For Disaster Remote Sensing Support
6 The Geomorphometry of Rainfall-Induced Landslides in Taiwan Obtained by Airborne Lidar and Digital Photography
7 Description and Publication of Geospatial Information
8 Application of Real Time GIS, Remote Sensing and IC Tag for Realization of Geospatial Informationsociety
9 Integrated sea surface temperature products within a coastal ocean observing system
10 Soil Backgrounds Impact Analysis on Chlorophyll Indices Using Field, Airborne and Satellite Hyperspectral Data
11 Simultaneous Estimation of Optical Properties of Asian Dust and Ground Reflectance by Polarization Measurements
12 Moving Target Detection and Velocity Estimation in Multi-Channel AT-InSAR Systems from Amplitude and Phase Data
13 Monitoring tropical peat swamp deforestation and hydrological dynamics by ASAR and PALSAR
14 Multivariate Differencing Techniques for Land Cover Change Detection: the Normalized Difference Reflectance Approach
15 Using Kernel Methods under a Learning Machine Approach for Multispectral Data Classification. An Application in Agriculture
16 Multivariate Time Series Support Vector Machine for Multispectral Remote Sensing Image Classifications
17 Surface approximation from rapidly varying data: Applications to geophysical surfaces and seafloor surfaces
18 Three-Dimensional Microwave Imaging using Synthetic Aperture Technique
19 Corn Monitoring and Crop Yield Using Optical and Microwave Remote Sensing
20 Radargrammetric SAR image processing
21 MAP Classification of a Reference Image Using Auxiliaries Images with Different Prevalent Classes
22 Optical Satellite Volcano Monitoring: A Multi-Sensor Rapid Response System
23 The Extended Integral Equation Model IEM2M for topographically modulated rough surfaces
24 Microwave Remote Sensing of Soil Moisture in Semi-arid Environment
25 Ensemble of retrieval algorithms and electromagnetic models for soil and vegetation water content estimation from SAR images
26 Methodology for investigation of the factors for georadar signals influencing the directional pattern of synthetic aperture radar
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