Abstract
This study explores retrieval of wall-to-wall forest above-ground biomass (AGB) over Jilin province in Northeast China, using the optimized non-parametric k-NN method, the 7th National Forest Inventory (NFI) data, and the remote sensing data: Landsat-TM/ETM+ images. For pixel-based validation, the estimated result was compared to the NFI data by leave-one-out process and R2 = 0.40 and RMSE = 54.29 tons/hm2. For county-scale validation, the result was verified by the intensive forest sub-compartment data of eight county and R2 = 0.80 and RMSE = 34.26 tons/hm2.
Original language | English |
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Title of host publication | 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 979-982 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-4799-1114-1 |
DOIs | |
Publication status | Published - 1 Dec 2013 |
Event | 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013: Building a Sustainable Earth through Remote Sensing - Melbourne, Australia Duration: 21 Jul 2013 → 26 Jul 2013 Conference number: 33 http://www.igarss2013.org/ |
Publication series
Name | IEEE International Geoscience and Remote Sensing Symposium - IGARSS |
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Publisher | IEEE |
Volume | 2013 |
ISSN (Print) | 2153-6996 |
ISSN (Electronic) | 2153-7003 |
Conference
Conference | 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 |
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Abbreviated title | IGARSS |
Country/Territory | Australia |
City | Melbourne |
Period | 21/07/13 → 26/07/13 |
Internet address |
Keywords
- Forest above-ground biomass
- k-NN method
- Optimized configuration