Books  Ecological & Biological Sciences  Data Analysis & Modelling  Cartography, Remote Sensing, Image Analysis & GIS 

Advances in Land Remote Sensing: System, Modelling, Inversion and Application


By: Shunlin Liang(Editor)

450 pages, b/w illustrations


Hardback | Jan 2008 | #170631 | ISBN-13: 9781402064494
Availability: Usually dispatched within 1-2 weeks Details
NHBS Price: £219.99 $286/€249 approx
Paperback | Sep 2014 | #222293 | ISBN-13: 9789400798687
Availability: Usually dispatched within 1-2 weeks Details
NHBS Price: £231.50 $301/€262 approx

About this book

Advances in Land Remote Sensing collects the review papers of the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS). It systematically summarizes the past achievements and identifies the frontier issues as the research agenda for the near future. It covers all aspects of land remote sensing, from sensor systems, physical modeling, inversion algorithms, to various applications.


1. Recent advances in land remote sensing: an overview

Part 1: Remote Sensing Systems
2. Passive microwave remote sensing for land applications
3. Active microwave RS systems and applications to snow monitoring
4. Multi-angular thermal infrared observations of terrestrial vegetation
5. Terrestrial Applications of Multiangle remote sensing

Part 2: Physical modeling and inversion algorithms
6. Forest reflectance modeling and inversion
7. Methodologies for inverting biophysical variables
8. Knowledge database and inversion
9. Methodologies for estimating broadband albedo
10. Potential of thermal infrared remote sensing for the monitoring of land surface processes
11. Data fusion and integration methodologies
12. Data assimilation methods for estimating land surface variables
13. Methodologies for mapping land cover and land use and change
14. Methodologies for mapping plant functional types

Part 3: remote sensing applications
15. Agricultural applications
16. NPP and carbon cycle applications
17. Applications to climate studies
18. Lessons from application case studies

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