Investigation of Land Surface Properties and Cloud Characteristics in Indonesia

• Main Authors: Jeddah Yanti, 亞吉妲
• Other Authors: Chian-Yi Liu
• Format: Others
• Language: en_US
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/33ub92

碩士 === 國立中央大學 === 遙測科技碩士學位學程 === 107 === ABSTRACT Cloud has the sensitivities and may lead to the response to atmospheric conditions along with surface properties due to its role in the hydrological cycle. The change of surface vegetation also links to the evapotranspiration pattern so that the moisture flux might be affected by the atmospheric stratiform or convective clouds. The aim of this study to analyze the complex phenomenon and links of cloud response towards land surface change that ensued from cloud microphysical components. Fourteen years from 2003 to 2016 over Indonesia was applied that issued by Moderate-Resolution Imaging Spectroradiometer (MODIS) level-3 (L3) provides both cloud and land surface products. Cloud microphysical features consist of cloud fraction, cloud top pressure, cloud optical thickness, and cloud effective radius, whereas Normalized Difference Vegetation Index (NDVI) was applied to identify the land surface change. The analysis of annual and seasonal climatology is used as the method to determine each cloud microphysical components response to land surface change. This study shows wet season is crucial season to observe the phenomenon between clouds and vegetation event. Because of the obviously characteristic of clouds over less vegetated land areas are more diffuse clouds (cloud cover), small particle size, and thin clouds. Meanwhile, increasing vegetation index encourages the formation of convective clouds which are characterized by large particle sizes, high-altitude, and more compact cloud shapes, as known convective clouds. More vegetation more water evaporates from the Earth's surface and rises upon warm updrafts into the atmosphere where it condenses into clouds, with clouds are encouraged to develop vertically. Most significant of spatial correlation shows over Kalimantan and Sumatra.