XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/4: METHODS FOR LAND COVER CLASSIFICATION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: ALBEDO PATTERN RECOGNITION AND TIME-SERIES ANALYSES IN MALAYSIA S. A. Salleh, Z. Abd Latif, W. M. N. Wan Mohd, A. Chan

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia ALBEDO PATTERN RECOGNITION AND TIME-SERIES ANALYSES IN MALAYSIA S. A. Salleh ?, Z. Abd Latif * *, W. M. N. Wan Mohd *, A. Chan? * Center for Surveying Science and Geomatics Studies, Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia. ? Faculty of Engineering, University of Nottingham, Campus Semenyih, Jalan Broga, Selangor, Malaysia zulki721 Q salam.uitm.edu.my Commission VII, WG VII/A KEY WORDS: Environment, Temporal, Pattern, Spatial, Meteorology, Climate ABSTRACT: Pattern recognition and time-series analyses will enable one to evaluate and generate predictions of specific phenomena. The albedo pattern and time-series analyses are very much useful especially in relation to climate condition monitoring. This study is conducted to seek for Malaysia albedo pattern changes. The pattern recognition and changes will be useful for variety of environmental and climate monitoring researches such as carbon budgeting and aerosol mapping. The 10 years (2000-2009) MODIS satellite images were used for the analyses and interpretation. These images were being processed using ERDAS Imagine remote sensing software, ArcGIS 9.3, the 6S code for atmospherical calibration and several MODIS tools (MRT, HDF2GIS, Albedo tools). There are several methods for time-series analyses were explored, this paper demonstrates trends and seasonal time-series analyses using converted HDF format MODIS MCD43A3 albedo land product. The results revealed significance changes of albedo percentages over the past 10 years and the pattern with regards to Malaysia's nebulosity index (NI) and aerosol optical depth (AOD). There is noticeable trend can be identified with regards to its maximum and minimum value of the albedo. The rise and fall of the line graph show a similar trend with regards to its daily observation. The different can be identified in term of the value or percentage of rises and falls of albedo. Thus, it can be concludes that the temporal behavior of land surface albedo in Malaysia have a uniform behaviours and effects with regards to the local monsoons. However, although the average albedo shows linear trend with nebulosity index, the pattern changes of albedo with respects to the nebulosity index indicates that there are external factors that implicates the albedo values, as the sky conditions and its diffusion plotted does not have uniform trend over the years, especially when the trend of 5 years interval is examined, 2000 shows high negative linear trend relationship (R2 7 0.8017), while in 2005 the R? is 0.4428 of positive linear trend relationship and in 2009 its negative relationship has remarkably change when the R? is 0.9663 according to the second order polynomial trend line. 1. INTRODUCTION 1.1 Albedo Pattern for Environmental and Climate Condition The study of land surface albedo and its inter-dependences towards global climate condition have been conducted by several researchers i.e (Zhou et al. 2003), (Akbari et al. 2009), (Govaerts and Lattanzio 2008) and (Ollinger et al. 2008). Liu, Schaaf et al. (2009) quoted definition of albedo from Dickinson (1978) as "Land surface albedo is defined as the fraction of incident solar irradiance reflected by Earth's surface over the whole solar spectrum". It can simply be defined as the amount of incoming radiation that is reflected from the surface. Land surface albedo plays a significant role in determining and controlling the energy budget. Researchers has been studying it properties through its dependency on solar zenith angle as to validate the source of image dataset (Liu et al. 20092), the correlation of radiative forcing and landuse (Kvalevag 2009; Kvaleväg et al. 2010; Nair et al. 2007) and improvement or downscaling its data spatial resolution to enable higher accuracy and more details results for study involving microclimate condition (Liu et al. 2009b; Liu et al. 2007; M ttus and Rautiainen 2009; Nasipuri et al. 2006; Rocchini 2007). * Corresponding author. Remote sensing and GIS technology certainly give advantages to allow bigger coverage data retrieval and huge data mining purposes. There are several studies in relation to albedo that have utilized these technologies. Satellite derived albedo such as Meteosat was used in several researches to seek for discrepancies through documenting the time-series data and analysis (Loew and Govaerts 2010), identification of spatial and temporal distribution of aerosol (Pinty et al. 2000), and drought events (Govaerts and Lattanzio 2008). (Pinty et al. 2000) used 10 years of Meteosat datasets and has underlined the opportunity to document the changes and subsequently enable one to monitor land surface dynamics. Landsat image was also being used for monitoring earth albedo and study of vegetation indices relationship with surface roughness (Kiang and Ungar 1977; Yunjun et al. 2008). While Moderate Resolution Imaging Spectroradiometer (MODIS) have been through numerous verification and validation studies (Liu et al. 2009a; Lucht et al. 2000; Stroeve et al. 2005), AVHRR and GOES was used to retrieve red spectral albedo and bidirectional reflectance (d'Entremont et al. 1999). A comprehensive datasets with viable temporal resolution where the data is being observed in a sequence of time enable a domain of statistical analyses known as time-series analysis.

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