Assessment of Regression and Classification Methods Using Remote Sensing Technology for Detection of Coastal Depth (Case Study of Bushehr Port and Kharg Island)

2019 ◽  
Vol 47 (6) ◽  
pp. 1019-1029
Author(s):  
Ali Moeinkhah ◽  
Alireza Shakiba ◽  
Zeinab Azarakhsh
2015 ◽  
Vol 35 (23) ◽  
Author(s):  
刘会玉 LIU Huiyu ◽  
林振山 LIN Zhenshan ◽  
齐相贞 QI Xiangzhen ◽  
刘金雪 LIU Jinxue ◽  
许晓娟 XU Xiaojuan

Jurnal Wasian ◽  
2014 ◽  
Vol 1 (1) ◽  
pp. 15
Author(s):  
Nurlita Indah Wahyuni

The development of remote sensing technology makes it possible to utilize its data in many sectors including forestry. Remote sensing image has been used to map land cover and monitor deforestation. This paper presents utilization of ALOS PALSAR image to estimate and map aboveground biomass at natural forest of Bogani Nani Wartabone National Park especially SPTN II Doloduo and SPTN III Maelang. We used modeling method between biomass value from direct measurement and digital number of satellite image. There are two maps which present the distribution of biomass and carbon from ALOS PALSAR image with 50 m spatial resolution. These maps were built based on backscatter polarization of HH and HV bands. The maps indicate most research area dominated with biomass stock 0-5.000 ton/ha.


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