Precision Forestry Using Airborne Hyperspectral Imaging Sensor

QR Code

Precision Forestry Using Airborne Hyperspectral Imaging Sensor

Universiti Putra Malaysia in collaboration with a private company, Aeroscan Precision (M) Sdn Bhd based in UPM Serdang conducted a research and commercial applications of airborne hyperspectral sensing data in precision forestry. The UPM-APSB’s AISA sensor was flown over a representative series of...

Full description

Bibliographic Details
Main Author:	Jusoff, Kamaruzaman
Format:	Article
Language:	English English
Published:	2009
Online Access:	http://psasir.upm.edu.my/id/eprint/7380/ http://psasir.upm.edu.my/id/eprint/7380/1/Precision%20Forestry%20Using%20Airborne%20Hyperspectral%20Imaging%20Sensor.pdf

Similar Items

Mapping Bamboo in Berangkat Forest Reserve, Kelantan, Malaysia using Airborne Hyperspectral Imaging Sensor
by: Jusoff, Kamaruzaman
Published: (2007)

Airborne Hyperspectral Imaging for Mapping of Pavement Cracks on Malaysian Highways
by: Jusoff, Kamaruzaman, et al.
Published: (2008)

Estimating Acacia mangium Plantation's Standing Timber Volume Using an Airborne Hyperspectral Imaging System
by: Jusoff, Kamaruzaman
Published: (2008)

Airborne: hyperspectral imaging spectrometer for individual mapping of tropical trees and timber volume estimation
by: Jusoff, Kamaruzaman
Published: (2008)

Airborne Hyperspectral Imagery for Agricultural Businesses in Malaysia
by: Jusoff, Kamaruzaman, et al.
Published: (2008)

Individual species crown mapping in Taman Rimba Ilmu, University Malaya using airborne hyperspectral imaging
by: Jusoff, Kamaruzaman
Published: (2010)

Advanced Processing of UPM-APSB’s AISA Airborne Hyperspectral Images for Individual Timber Species Identification and Mapping
by: Jusoff, Kamaruzaman
Published: (2007)

Airborne hyperspectral sensor for individual species counting and mapping of Karas (Aquilaria malaccensis) in Bukit Nanas F.R, Malaysia
by: Jusoff, Kamaruzaman
Published: (2009)

Mapping of Individual Oil Palm Trees Using Airborne Hyperspectral Sensing: An Overview
by: Jusoff, Kamaruzaman, et al.
Published: (2009)

UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia
by: Jusoff, Kamaruzaman
Published: (2008)

Mapping of Power Transmission Lines on Malaysian Highways Using UPM-APSB’s AISA Airborne Hyperspectral Imaging System
by: Jusoff, Kamaruzaman, et al.
Published: (2008)

Aerial inventory of fragmented forest using airborne hyperspectral imaging
by: Mohd Sood, Alias, et al.
Published: (2012)

Search and rescue (SAR) operations for the missing Bell 206 Long Ranger helicopter in Sarawak, Malaysia using near real-time airborne hyperspectral imaging system
by: Jusoff, Kamaruzaman
Published: (2008)

Spectral band configuration for airborne hyperspectral imaging of tropical forest.
by: Nuruddin, Ahmad Ainuddin, et al.
Published: (2009)

Land use and cover mapping with airbone hyperspectral imager in Setiu, Malaysia.
by: Jusoff, Kamaruzaman
Published: (2009)

Going hyperspectral: the 'unseen' captured?
by: Jusoff, Kamaruzaman
Published: (2010)

Pre-processing and classification of airborne hyperspectral data for wetlands mapping
by: Lau, Alvin Meng Shin
Published: (2004)

Precise Point Positioning in the Airborne Mode
by: El-Mowafy, Ahmed
Published: (2011)

Precise Point Positioning in the Airborne Mode
by: El-Mowafy, Ahmed
Published: (2011)

Spectral separability of tropical forest tree species using airbone hyperspectral imager
by: Jusoff, Kamaruzaman, et al.
Published: (2009)

Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform
by: Ghiyamat, A., et al.
Published: (2015)

Urban forestry planning using remote sensing/GIS technique
by: Ismail, Mohd Hasmadi, et al.
Published: (2004)

Use of satellite remote sensing in Malaysian forestry and its potential
by: Jusoff, Kamaruzaman, et al.
Published: (1997)

A review on application of hyperspectral imaging to forest resources in Malaysia
by: Ismail, Mohd Hasmadi, et al.
Published: (2009)

Analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging.
by: Ismail, Mohd Hasmadi, et al.
Published: (2010)

Hyperspectral remote sensing for tropical rain forest
by: Jusoff, Kamaruzaman, et al.
Published: (2009)

Impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species
by: Ghiyamat, Azadeh, et al.
Published: (2014)

A Forest Science Effective Research Supervision in the Faculty Of Forestry, Universiti Putra Malaysia
by: Jusoff, Kamaruzaman
Published: (2008)

Mapping Malaysian urban environment from airborne hyperspectral sensor system in the VIS-NIR (0.4-1.1 μm) spectrum
by: Mohd Shafri, Helmi Zulhaidi, et al.
Published: (2011)

Some Challenges and Solutions for Precise Point Positioning Using GNSS in the Airborne Mode
by: El-Mowafy, Ahmed
Published: (2017)

The use of hyperspectral remote sensing systems in precision agriculture: current status and future trends
by: Mohd Shafri, Helmi Zulhaidi
Published: (2016)

A new approach in individual tree counting of Nyatoh (Palaquium spp.) using an airborne spectroradiometer
by: Jusoff, Kamaruzaman
Published: (2010)

Hyperspectral image processing system
by: Mahmouei, Sahar Sabbaghi
Published: (2012)

Transfer of watershed technology for sustained yield forestry in Malaysia.
by: Nik Ab. Majid, Nik Muhamad, et al.
Published: (1986)

Comparison of PLSR modelling and indicative mineral mapping of airborne hyperspectral imagery for acid sulphate soil assessment
by: Shi, Xianzhong, et al.
Published: (2014)

Parallelization Of CCSDS Hyperspectral Image Compression Using C++
by: Tan, Lit Chez
Published: (2018)

Development of active & passive airborne remote sensors
by: Kanisin, Devaraj, et al.
Published: (2005)

Optical sectioning in multi-foci Raman hyperspectral imaging
by: Liao, Zhiyu, et al.
Published: (2018)

Early detection of stress in strawberry plants using hyperspectral image analysis
by: Lowe, Amy
Published: (2018)

Protein content prediction in single wheat kernels using hyperspectral imaging
by: Caporaso, Nicola, et al.
Published: (2018)