Mr. Denny Wijaya Kusuma Profile

Denny Wijaya Kusuma

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Proceedings Article | 22 December 2021 Paper

Sardinella lemuru abundance in Bali Strait: IOD or ENSO

Dinarika Jatisworo, Denny Wijaya Kusuma, Bambang Sukresno, Rizki Hanintyo

Proceedings Volume 12082, 120820I (2021) https://doi.org/10.1117/12.2619431

KEYWORDS: Wavelets, Oceanography, MODIS

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Sardinella lemuru is important species and only exists in Bali Strait. In recent years (1980-2019), the fishing condition in Bali Strait is highly volatile. This condition makes lemuru catching locations are challenging to predict. According to catch data, Sardinella lemuru has collapsed and dramatically vanished in 1999, 2011, and 2017. Here, we examined the collapse was due to the impact of IOD or ENSO. According to wavelet coherence analysis, there was a strong association between IOD or ENSO phenomenon with decrease or increase in lemuru catches occurred in 2007-2012 with power 0.6 for IOD and 0.5 for ENSO. After those years, the coherence shows a weak association. The result of wavelet coherency in this study found that the incidence of lemuru collapse in the years 2011 and 2017 was caused by different factors. In 2011 decrease of lemuru was strongly coherent with the occurrence of positive IOD and La Nina events, but in 2017 lemuru decreased was not coherent with IOD (positive/negative) or ENSO (El Nino/La Nina) event.

Proceedings Article | 24 December 2019 Paper

Comparison of object spectral reflectance from WorldView-2 image and field measurement

Zulfikri Isnaen, Muhammad Kamal, Denny Wijaya Kusuma

Proceedings Volume 11372, 113721U (2019) https://doi.org/10.1117/12.2541768

KEYWORDS: Reflectivity, Near infrared, Spectroscopy, Vegetation, Remote sensing, Satellites, Radiometric corrections, Satellite imaging, Earth observing sensors, Image processing

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Spectral reflectance of objects provides key recognition of objects from remote sensing data. Each surface objects have their own specific spectral reflectance pattern that acts as a spectral fingerprint for object discrimination. This study aims to evaluate the effectiveness of radiometric correction applied to WorldView-2 image by comparing the image correction result with field spectrometer measurement. Some objects were chosen as the basis for observing object spectral reflectance, namely grass, non-mangrove vegetation, mangrove vegetation, soil, and asphalt. The WorldView-2 image was radiometrically and spectrally corrected up to at-surface reflectance level using provided procedures. For reference, the spectral reflectance of selected objects were collected in the field using a JAZ EL-350 field spectrometer (340-1028 nm). In order to perform a direct comparison and evaluation, the results of object spectral reflectance of field spectrometer were resampled based on the center wavelength of WorldView-2 image bands (i.e. from thousand to eight bands). This study found that the spectral reflectance patterns of all targeted objects were similar. However, the most accurate spectral reflectance of WorldView-2 image object was asphalt. Asphalt has high colour homogeneity and relatively stable in a long period of time. This study shows that the standard image radiometric and spectral correction approach is effective to represent the spectral reflectance of objects on Earth surface.

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