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Debris flow source identification in tropical dense forest using airborne laser scanning data and flow-R model Suzana binti Abu Bakar

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Material type: Text

TextPublication details: Selangor, Malaysia 2017Description: xvi, 80p. ill. col. 30 cmSubject(s):

Dissertation note: Thesis (Degree), Faculty of Engineering

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Thesis	MYSA Lib Resources Center KL	Book	SD 387.R4 2017 (Browse shelf(Opens below))	Binding		T000006196

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Previous	SD 387.R4 1994 Report on International Training Course on Application of Remote Sensing and Geographic Information System in Managing Tropical Forests and Conserving Natural Resources in South Asia	SD 387.R4 1997 Utilization of Remote Sensing in Site Assessment and Planning for Rehabilitation of Logged-Over Forests, Project Report on PD32/93 kev.2 (F) Rehabilitation of Logged-Over-Forests in Asia\Pacific Region, Sub-Project III	SD 387 R4 1997 The Use of Remote Sensing in the Modeling of Forest Productivity	SD 387.R4 2017 Debris flow source identification in tropical dense forest using airborne laser scanning data and flow-R model	SD387.R4.A572 2013 Airborne hyperspectral imaging system (AHIS) of Pulau Perhentian Kecil, Terengganu	SD 387.R4 F73 2001 Remote Sensing for Sustainable Forest Management	SD 387.S86 N67 2016 Monitoring of agricultural land abandonment using Remote Sensing Technology	Next

Thesis (Degree), Faculty of Engineering

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