TY - GEN
T1 - Semantic spatial weighted regression for realizing spatial correlation of deforestation effect on soil degradation
AU - Rachmawan, Irene Erlyn Wina
AU - Kiyoki, Yasushi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/19
Y1 - 2017/12/19
N2 - Tackling Deforestation activity is not an easy task. Many approached on mapping and monitoring the change of forest cover has been actively introduced and yet the deforestation activity is still largely happens. In order to observe the deforestation activity and its natural impact on environment, a new way to serve knowledge is good approach to make more understandable information regarding on how deforestation activity effects on our environment. We proposed semantic spatial-weighted regression to create a system that able to presenting the distribution of deforestation effect on soil degradation based on human language regression. Our system is able to visualize the desire observed are based on the location given by user impression. We use Landsat satellite images as our input data. Our system calculates the band parameters value using semantic orthogonality for producing a new semantic regression model of deforestation area effect to capturing user intention.
AB - Tackling Deforestation activity is not an easy task. Many approached on mapping and monitoring the change of forest cover has been actively introduced and yet the deforestation activity is still largely happens. In order to observe the deforestation activity and its natural impact on environment, a new way to serve knowledge is good approach to make more understandable information regarding on how deforestation activity effects on our environment. We proposed semantic spatial-weighted regression to create a system that able to presenting the distribution of deforestation effect on soil degradation based on human language regression. Our system is able to visualize the desire observed are based on the location given by user impression. We use Landsat satellite images as our input data. Our system calculates the band parameters value using semantic orthogonality for producing a new semantic regression model of deforestation area effect to capturing user intention.
KW - Deforestation
KW - remote sensing
KW - semantic computing
UR - http://www.scopus.com/inward/record.url?scp=85046545366&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046545366&partnerID=8YFLogxK
U2 - 10.1109/KCIC.2017.8228566
DO - 10.1109/KCIC.2017.8228566
M3 - Conference contribution
AN - SCOPUS:85046545366
T3 - Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
SP - 71
EP - 76
BT - Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
A2 - Bagar, Fahim Nur Cahya
A2 - Zainudin, Ahmad
A2 - Al Rasyid, M. Udin Harun
A2 - Briantoro, Hendy
A2 - Akbar, Zulhaydar Fairozal
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
Y2 - 26 September 2017 through 27 September 2017
ER -