Mapping Forest Vertical Structure in Jeju Island from Optical and Radar Satellite Images Using Artificial Neural Network
Recently, due to the acceleration of global warming, an accurate understanding and management of forest carbon stocks, such as forest aboveground biomass, has become very important. The vertical structure of the forest, which is the internal structure of the forest, was mainly investigated by field...
Main Authors: | Yong-Suk Lee, Sunmin Lee, Won-Kyung Baek, Hyung-Sup Jung, Sung-Hwan Park, Moung-Jin Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/5/797 |
Similar Items
-
Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest)
by: Laode M Golok Jaya, et al.
Published: (2017-07-01) -
Pendugaan Potensi Cadangan Karbon Hutan di Atas Permukaan pada Ekosistem Mangrove Berbasis Synthetic Aperture Radar L-BAND
by: Yudi Fatwa Hudaya, et al.
Published: (2016-10-01) -
RADAR INTERFEROMETRY APPLICATION FOR DIGITAL ELEVATION MODEL IN MOUNT BROMO, INDONESIA
by: Noorlaila Hayati, et al.
Published: (2015-06-01) -
Feasibility Study of Synthetic Aperture Radar - Adaptability of the Payload to KOMPSAT Platform
by: Young-Soo Kim, et al.
Published: (2002-09-01) -
Oil Spill Mapping from Kompsat-2 High-Resolution Image Using Directional Median Filtering and Artificial Neural Network
by: Sung-Hwan Park, et al.
Published: (2020-01-01)