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

do RAE I id se nd all vy od ex illustrated the correlation of albedo value with respect to the nebulosity index. It shows positive relationship as the albedo value increased as the index increased. Monthly Average of Min and Max Albedo (Nebulosity Index) 2000-2009 03 "n - «0.2 P 6 0.23 xoc a 0.2 2 : $ min EAD = WB max 01 3 — Linear {min} 01€ 0.0073 085 Y" e 2 2.30 3 ——— Linear (max) 0 ; EXP ipd 0 93 0.2 0.3 0.4 05 9.5 07 Nebulosity Index Figure 7. Nebulosity Index and Albedo Trend In March of 2000 until 2009, the variations of albedo show minimum value of 0.00006 and maximum albedo at 0.3506. April, on the other hands showed not much different being the same cloud condition as March, where the minimum albedo is at 0.00006 and maximum is 0.33448. In September the albedo patterns reveals slight changes in term of its maximum value where the albedo value range from 0.00006 — 0.3284 and albedo pattern is December shows the albedo value ranging from 0.001 — 0.35606 for being the darkest and coldest month in the year. The 5 years interval trend analyses results shows some contradictory behaviour of albedo with NI, thus further clarification is require verifying this condition. The following graphes show the variation of relationship of average albedo in 2000, 2005 and 2009. 2009 (c. ; na TT = 04 A = 203 = = 2 0.2 y 48.638x 6 0.1 R: 9.9663 o ; ; o 0.05 O1 0.15 0.2 0.25 0.3 0.35 Albedo us = 0.6 2 os $e £684 8023 a 2 0 = 03 o o 0.1 0.2 0.3 0.4 Albedo 0.7 0.6 S gos dh CUR M ERES = TT tran = 14 * = EILEEN TEE £03 FR 0.BOL7 3 20.2 9.1 0 : : ; 0225 023 0235 0.24 0245 025 0255 026 0265 027 0275 028 Albedo Figure 8. The 5 year Interval Average Trend Analyses While AOD on the other hand, giving negative relationship as the AOD effects the albedo value contradictory. When the AOD is low then the albedo value is high. The linear trend can be seen in Figure 9. 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 Monthly Average of Min and Max Albedo (AOD) 2000-2009 % Wc H0 7 3e 0974cLg 2813 Ri» 0.3625 * Nax E Min Lnear{Max) Linear {Min} Ys o 0.1 0.2 03 04 as 0.6 AOD Figure 9. AOD and Albedo Trend 4. CONCLUSION AND RECOMMENDATION The yearly analyses show the impact of land use and land cover changes with respect to the yearly average albedo in Malaysia. While the monsoon analyses recognized the albedo behavior and its pattem changes with respect to our local climate condition and subsequently it’s dynamic towards our weather parameters. The pattern changes of albedo with respects to the nebulosity index indicate that there are external factors that implicate the albedo values. Thus, further study need to be conducted in order to gain an insight towards the relationship land surface albedo with the other variables such as property of surface reflectance (land use and land cover). ACKNOWLEDGEMENT The authors would like to express our gratitude to the MOSTI for funding this project under Fundamental Research Grant Scheme (FRGS) (600-RMI/SSP/FRGS/5/3Fsp (90/2010). MODIS (MCD43A3) these data are distributed by the Land Processes Distributed Active Archive Center (LP DAAC), located at the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center (Ipdaac.usgs.gov). REFERENCES Akbari, H., Menon, S., & Rosenfeld, A. (2009). Global cooling: increasing world-wide urban albedos to offset CO 2. Climatic Change, 94, pp. 275-286. Ambarwulan, W. (2010). PAD Thesis: Remote Sensing of Tropical Coastal Waters: Study of the Berau Estuary, East Kalimantan, Indonesia. University of Twente, ITC, Netherland. Bala, G., Caldeira, K., Wickett, M., Phillips, T., Lobell, D., Delire, C., & Mirin, A. (2007). Combined climate and carbon- cycle effects of large-scale deforestation. Proceedings of the National Academy of Sciences, 104, pp. 6550. Cicek, I., & Turkoglu, N. (2005). Urban effects on precipitation in Ankara. Atmosfera, 18, pp. 173-187 d'Entremont, R., Schaaf, C., Lucht, W., & Strahler, A. (1999). Retrieval of red spectral albedo and bidirectional reflectance from 1-km2 satellite observations for the New England region. Journal of Geophysical Research, 104, pp. 6229-6339 Dixon, P., & Mote, T. (2010). Patterns and causes of Atlanta's urban heat island-initiated precipitation, Journal of Applied Meteorology, 2, pp. 1273-1284.

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