Open access peer-reviewed Edited Volume

Remote Sensing of Biomass

Principles and Applications

The accurate measurement of ecosystem biomass is of great importance in scientific, resource management and energy sectors. In particular, biomass is a direct measurement of carbon storage within an ecosystem and of great importance for carbon cycle science and carbon emission mitigation. Remote Sensing is the most accurate tool for global biomass measurements because of the ability to measure large areas. Current biomass estimates are derived primarily from ground-based samples, as compiled and reported in inventories and ecosystem samples. By using remote sensing technologies, we are able to scale up the sample values and supply wall to wall mapping of biomass. Three separate remote sensing technologies are available today to measure ecosystem biomass: passive optical, radar, and lidar. There are many measurement methodologies that range from the application driven to the most technologically cutting-edge. The goal of this book is to address the newest developments in biomass measurements, sensor development, field measurements and modeling. The chapters in this book are separated into five main sections.

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Remote Sensing of BiomassPrinciples and ApplicationsEdited by Lola Fatoyinbo

Published: March 28th 2012

DOI: 10.5772/696

ISBN: 978-953-51-0313-4

eBook (PDF) ISBN: 978-953-51-6177-6

Copyright year: 2012

Books open for chapter submissions

37067 Total Chapter Downloads

54 Crossref Citations

95 Web of Science Citations

138 Dimensions Citations


Open access peer-reviewed

1. Lidar Remote Sensing for Biomass Assessment

By Jacqueline Rosette, Juan Suárez, Ross Nelson, Sietse Los, Bruce Cook and Peter North


Open access peer-reviewed

2. Forest Structure Retrieval from Multi-Baseline SARs

By Stefano Tebaldini


Open access peer-reviewed

3. Biomass Prediction in Tropical Forests: The Canopy Grain Approach

By Christophe Proisy, Nicolas Barbier, Michael Guéroult, Raphael Pélissier, Jean-Philippe Gastellu-Etchegorry, Eloi Grau and Pierre Couteron


Open access peer-reviewed

4. Remote Sensing of Biomass in the Miombo Woodlands of Southern Africa: Opportunities and Limitations for Research

By Natasha Ribeiro, Micas Cumbana, Faruk Mamugy and Aniceto Chaúque


Open access peer-reviewed

5. Ocean Color Remote Sensing of Phytoplankton Functional Types

By Tiffany A.H. Moisan, Shubha Sathyendranath and Heather A. Bouman


Open access peer-reviewed

6. Using SVD Analysis of Combined Altimetry and Ocean Color Satellite Data for Assessing Basin Scale Physical-Biological Coupling in the Mediterranean Sea

By Antoni Jordi and Gotzon Basterretxea


Open access peer-reviewed

7. Advances in Remote Sensing of Post-Fire Vegetation Recovery Monitoring - A Review

By Ioannis Gitas, George Mitri, Sander Veraverbeke and Anastasia Polychronaki


Open access peer-reviewed

8. The Science and Application of Satellite Based Fire Radiative Energy

By Evan Ellicott and Eric Vermote


Open access peer-reviewed

9. Resilience and Stability Associated with Conversion of Boreal Forest

By Jacquelyn Kremper Shuman and Herman Henry Shugart


Open access peer-reviewed

10. Reconstructing LAI Series by Filtering Technique and a Dynamic Plant Model

By Meng Zhen Kang, Thomas Corpetti, Jing Hua and Philippe de Reffye


Open access peer-reviewed

11. Mapping Aboveground and Foliage Biomass Over the Porcupine Caribou Habitat in Northern Yukon and Alaska Using Landsat and JERS-1/SAR Data

By Wenjun Chen, Weirong Chen, Junhua Li, Yu Zhang, Robert Fraser, Ian Olthof, Sylvain G. Leblanc and Zhaohua Chen


Open access peer-reviewed

12. Rice Crop Monitoring with Unmanned Helicopter Remote Sensing Images

By Kishore C. Swain and Qamar Uz Zaman


Open access peer-reviewed

13. Geostatistical Estimation of Biomass Stock in Chilean Native Forests and Plantations

By Jaime Hernández, Patricio Corvalán, Xavier Emery, Karen Peña and Sergio Donoso


Open access peer-reviewed

14. Using Remote Sensing to Estimate a Renewable Resource: Forest Residual Biomass

By A. García-Martín, J. de la Riva, F. Pérez-Cabello and R. Montorio


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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