Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this difficulty including the characteristics of a study area, availability of suitable remote sensing data, ancillary and ground reference data, proper use of variables
Environmental Applications of Remote Sensing
β Scribed by Marghany M. (Ed.)
- Tongue
- English
- Leaves
- 405
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
ITexLi (ExLi4EvA), 2016. β 405 p. β ISBN: 9535124447; 9535124439
This book contains high quality and compressive work on both microwave and optical remote sensing applications, and the innovation in space technologies creates a new trend for the Earth observation and monitoring from space.The book is divided into five sections:
- remote sensing for biomass estimation,
- remote sensing-based glacier studies,
- remote sensing for coastal and ocean applications,
- sewage leaks and environment disasters, and
- remote sensing image processing.
Each chapter offers an opportunity to expand the knowledge about various remote sensing techniques and persuade researchers to deliver new research novelty for environment studies.
Contents
Remote Sensing-Based Biomass Estimation
Detection of Tree Crowns in Very High Spatial Resolution Images
Climate Factorsβ Effects on Glacier Variations in the Commune of Alto del Carmen, Chile
Remote Sensing of the Glacial Environment Influenced by Climate Change
Remote Sensing of Mountain Glaciers and Related Hazards
Optical Satellite Remote Sensing of the Coastal Zone Environment β An Overview
Remote Sensing of the Ocean Environment Using Finite Element Methods
Bio-Optical Modeling in a Tropical Hypersaline Lagoon Environment
Utilization of Ground-Penetrating Radar and Frequency Domain Electromagnetic for Investigation of Sewage Leaks
Geo-spatial Technology for Landslide Hazard Zonation and Prediction
Remote Sensing for Natural or Man-made Disasters and Environmental Changes
Topological Characterization and Advanced Noise-Filtering Techniques for Phase Unwrapping of Interferometric Data Stacks
Processing of Multichannel Remote-Sensing Images with Prediction of Performance Parameters
β¦ Subjects
ΠΠ°ΡΠΊΠΈ ΠΎ ΠΠ΅ΠΌΠ»Π΅;ΠΠΈΡΡΠ°Π½ΡΠΈΠΎΠ½Π½ΠΎΠ΅ Π·ΠΎΠ½Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΠ΅ΠΌΠ»ΠΈ
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