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All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Erna Sri Adiningsih
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering

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ANALISIS PENGEMBANGAN LAHAN UNTUK TANAMAN KACANG TANAH DI JAWA BARAT DARI DATA LANDSAT DENGAN SISTEM INFORMASI GEOGRAFIS Hidayat, Agus; Adiningsih, Erna Sri; Setiawan, Parwati
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3090

Abstract

Land development for peanut plantation is important as one of the efforts to increase peanut production in Indonesia. Land development guidance map that is overlayed with land cover map based on Landsat data can be used as a reference for the implementation. This research was aimed to analyze land development for peanut plantation in West Java based on the existing land suitability map and land cover map from Landsat ETM + in the 2002, and to determine potential areas for peanut plantation based on land suitability and land cover using geographic information system. The result shows that the greater part of the area for peanut plantation in the research area is on the land ranging in low to medium potential although during 3 years (1999-2001) the plant productivity was relatively moderate to high (10,94 - 15,97 kw/ha). Meanwhile, the area that is potential to develop as peanut plantation area in the research area of northern West Java is in Bogor Regenc, particularly around Tinarjaya. The land coverage in the 2002 that was suitable for peanut plantation development area was still shrub (1.201,14 ha), bare land (395,37 ha), rain-fed paddy field (285,75 ha), and dry land (234,63 ha).
NEW AUTOMATED CLOUD AND CLOUD-SHADOW DETECTION USING LANDSAT IMAGERY Kustiyo; Dianovita; Hedi Ismaya; Mulia Inda Rahayu; Erna Sri Adiningsih
International Journal of Remote Sensing and Earth Sciences Vol. 9 No. 2 (2012)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2012.v9.a1831

Abstract

Cloud cover has become a major problem in the use of optical satellite imageries, particularly in Indonesian region located along equator or tropical region with high cloud cover almost all year round. In this study, a new method for cloud and cloud shadow detection using Landsat imagery for specific Indonesian region was developed to provide a more efficient and effective way to detect clouds and cloud shadows. Landsat Top of Atmosphere (TOA) reflectance and Brightness Temperature (BT) were used as inputs into the model. The first step was to detect cloud based on cloud physical properties using albedo and thermal bands, the second step was to detect cloud shadows using the Near Infrared (NIR), and Short Wave Infrared (SWIR) bands, and finally, the geometric relationships were used to match the cloud and cloud shadow layer, before proceeding to the production of the final cloud and cloud shadow mask. The results were then compared with other method such as tree base cloud separation. It showed that method we proposed could provide better result than tree base method, the accuracy result of this method was 98.75%.
ANALYSIS ON THE QUALITY OF AEROSOL OPTICAL THICKNESS DATA DERIVED FROM NPP VIIRS AND AQUA MODIS OVER WESTERN REGION OF INDONESIA Erna Sri Adiningsih; Andy Indrajat; Noriandini D. Salyasari
International Journal of Remote Sensing and Earth Sciences Vol. 12 No. 2 (2015)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2015.v12.a2707

Abstract

Preliminary analysis on quality data of Aerosol Optical Thickness/Depth or AOT/AOD derived from NPP VIIRS EDR (Environmental Data Record) has been done in previous work. Qualitative analysis of the previous work revealed that AOT data of VIIRS had insufficient quality due to some factors such as sun glint and cloud cover. However the accuracy of AOT VIIRS data over western area of Indonesia has not been investigated. Therefore this paper describes further analysis on AOT VIIRS data quality and accuracy. Comparison with AOT derived from Aqua MODIS data was implemented since AOT of MODIS has verified well with AOT data from field observation. Examination on cloud masking intermediate product of VIIRS was done for its importance in AOT data processing and persistent cloud cover obstacle over Indonesia. We used VIIRS and MODIS data archieved by LAPAN ground station. Further analysis on sun glint and cloud masking images indicates that these two intermediate products predominantly affect the quality of AOT from VIIRS and MODIS over the study areas. Compared with AOT of MODIS, AOT of VIIRS seems to result more pixels consisting AOT information over the same area and date. The statistical results showed that AOT values of VIIRS highly correlated with AOT values of MODIS with R2 of 78%. The accuracy of AOT derived from VIIRS was adequate as indicated by RMSE of 0.0977 or less than 0.5 for the samples over Sumatra, Borneo, and Java islands. Visual comparison of AOT images indicates that VIIRS data could result more detailed AOT values than MODIS data. Therefore the AOT of VIIRS data could be recommended for further applications in western area of Indonesia. Â
Co-Authors Agus Hidayat Andy Indrajat Dianovita Hedi Ismaya Kustiyo Mulia Inda Rahayu Noriandini D. Salyasari Setiawan, Parwati