TY - GEN
T1 - Re-evaluation of topographic attributes with human population in deforestation framework with spatial dependency
AU - Tanaka, Shojiro
AU - Nishii, Ryuei
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/4
Y1 - 2014/11/4
N2 - This research prosecutes topographic attributes on forest acreage ratio (F) decrease by human population interactions (N), from the none to full coverage in grid cells. Tanaka and Nishii [9] verified that altitude as well as the slope steepness, i.e., topographic attributes, indicate strong influence to the deforestation in cells 0 < F < 1. Two new agenda were investigated in this research: zero-one inflated distribution of forest acreage, and effect of neighbor-cells. As for the former one, a classification problem of three forest coverage domains with F = 0, F = 1 and 0 < F < 1 is discussed. Then, statistical spatial models, as to the latter, are applied to the domain with 0 < F < 1, which take neighbor cell effects into account. This means that the methodology can analyze all terrestrial fields including deserts and climax forests.
AB - This research prosecutes topographic attributes on forest acreage ratio (F) decrease by human population interactions (N), from the none to full coverage in grid cells. Tanaka and Nishii [9] verified that altitude as well as the slope steepness, i.e., topographic attributes, indicate strong influence to the deforestation in cells 0 < F < 1. Two new agenda were investigated in this research: zero-one inflated distribution of forest acreage, and effect of neighbor-cells. As for the former one, a classification problem of three forest coverage domains with F = 0, F = 1 and 0 < F < 1 is discussed. Then, statistical spatial models, as to the latter, are applied to the domain with 0 < F < 1, which take neighbor cell effects into account. This means that the methodology can analyze all terrestrial fields including deserts and climax forests.
UR - http://www.scopus.com/inward/record.url?scp=84911451625&partnerID=8YFLogxK
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U2 - 10.1109/IGARSS.2014.6947237
DO - 10.1109/IGARSS.2014.6947237
M3 - Conference contribution
AN - SCOPUS:84911451625
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3502
EP - 3505
BT - International Geoscience and Remote Sensing Symposium (IGARSS)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Y2 - 13 July 2014 through 18 July 2014
ER -
