Wijayanto, Arif K; Yusuf, Sri M; Pambudi, Wiwid A The Characteristic of spectral reflectance of LAPAN-IPB (LAPAN-A3) Satellite and Landsat 8 over agricultural area in Probolinggo, East Java Proceedings Article In: IOP Conference Series: Earth and Environmental Science, pp. 012004, IOP Publishing 2019. @inproceedings{wijayanto2019characteristic,
title = {The Characteristic of spectral reflectance of LAPAN-IPB (LAPAN-A3) Satellite and Landsat 8 over agricultural area in Probolinggo, East Java},
author = {Arif K Wijayanto and Sri M Yusuf and Wiwid A Pambudi},
url = {https://iopscience.iop.org/article/10.1088/1755-1315/284/1/012004/meta},
doi = {10.1088/1755-1315/284/1/012004},
year = {2019},
date = {2019-01-01},
booktitle = {IOP Conference Series: Earth and Environmental Science},
volume = {284},
number = {1},
pages = {012004},
organization = {IOP Publishing},
abstract = {LAPAN-IPB Satellite which was developed by the National Agency of Aeronautics and Space (LAPAN) and Landsat 8 have quite equal specification. However, it is important to investigate the difference of characteristic between the two satellites since the Landsat 8 commonly used by Indonesian researcher in the agriculture field for years. The study was done in Probolinggo Regency which is located in East Java, Indonesia – has a large area of agriculture. Satellite data of LAPAN A3/IPB used in the analysis of its spectral characteristic over agricultural area was acquired on September 18, 2018, while the Landsat 8 image data was taken from acquisition date on September 12, 2018. Field data measurement was done by collecting spectral reflectance of some agricultural crops at study area consist of paddy, maize, sugar cane, and onion. Spectral reflectance from the four crops are quietly the same, except for paddy which has the lowest reflectance on peak of green band compared to other crops. Spectral profile of LAPAN-A3/IPB on Blue, Green and Red band are always lower than Landsat 8, while the NIR band is always higher. NDVI from Landsat 8 OLI ranged from -1 to 0.622844, while NDVI from LAPAN-A3/IPB ranged from -1 to 0.461655. NDVI from Landsat is able to differentiate water more clearly than LAPAN-A3/IPB, indicated by low NDVI value. It is concluded that LAPAN-A3/IPB has quite similar spectral characteristic compared to Landsat-8 OLI. Although there is some difference of spectral characteristic from some crops. It is recommended to consider the age or growth stage of each crop.},
keywords = {Landsat, LAPAN, spectral},
pubstate = {published},
tppubtype = {inproceedings}
}
LAPAN-IPB Satellite which was developed by the National Agency of Aeronautics and Space (LAPAN) and Landsat 8 have quite equal specification. However, it is important to investigate the difference of characteristic between the two satellites since the Landsat 8 commonly used by Indonesian researcher in the agriculture field for years. The study was done in Probolinggo Regency which is located in East Java, Indonesia – has a large area of agriculture. Satellite data of LAPAN A3/IPB used in the analysis of its spectral characteristic over agricultural area was acquired on September 18, 2018, while the Landsat 8 image data was taken from acquisition date on September 12, 2018. Field data measurement was done by collecting spectral reflectance of some agricultural crops at study area consist of paddy, maize, sugar cane, and onion. Spectral reflectance from the four crops are quietly the same, except for paddy which has the lowest reflectance on peak of green band compared to other crops. Spectral profile of LAPAN-A3/IPB on Blue, Green and Red band are always lower than Landsat 8, while the NIR band is always higher. NDVI from Landsat 8 OLI ranged from -1 to 0.622844, while NDVI from LAPAN-A3/IPB ranged from -1 to 0.461655. NDVI from Landsat is able to differentiate water more clearly than LAPAN-A3/IPB, indicated by low NDVI value. It is concluded that LAPAN-A3/IPB has quite similar spectral characteristic compared to Landsat-8 OLI. Although there is some difference of spectral characteristic from some crops. It is recommended to consider the age or growth stage of each crop. |
Setiawan, Yudi; Prasetyo, Lilik B; Pawitan, Hidayat; Liyantono, Liyantono; Syartinilia, Syartinilia; Wijayanto, Arif K; Permatasari, Prita A; Syafrudin, Hadi A; Hakim, Patria R Pemanfaatan Fusi Data Satelit Lapan-a3/IPB dan Landsat 8 Untuk Monitoring Lahan Sawah Journal Article In: Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management), vol. 8, no. 1, pp. 67–76, 2018, ISSN: 2460-5824. @article{setiawan2018pemanfaatan,
title = {Pemanfaatan Fusi Data Satelit Lapan-a3/IPB dan Landsat 8 Untuk Monitoring Lahan Sawah},
author = {Yudi Setiawan and Lilik B Prasetyo and Hidayat Pawitan and Liyantono Liyantono and Syartinilia Syartinilia and Arif K Wijayanto and Prita A Permatasari and Hadi A Syafrudin and Patria R Hakim},
url = {https://journal.ipb.ac.id/index.php/jpsl/article/view/19754},
doi = {10.29244/jpsl.8.1.67-76},
issn = {2460-5824},
year = {2018},
date = {2018-01-01},
journal = {Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management)},
volume = {8},
number = {1},
pages = {67--76},
abstract = {Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultural land, especially paddy fields regarding to changes in landuse and global climate. Utilization and development of satellite technology is necessary to provide more accurate and independent database for agricultural land monitoring, especially paddy fields. This study aims to develop a utilization model for LAPAN-IPB satellite (LISAT) and other several satellites data that have been used for paddy field monitoring. This research is conducted through 2 stages: 1) Characterization LISAT satellite data to know spectral variation of paddy field, and 2) Development method of LISAT data fusion with other satellites for paddy field mapping. Based on the research results, the characteristics Red and NIR band in LISAT data imagery have a good correlation with Red and NIR band in LANDSAT 8 OLI data imagery, especially to detect paddy field in the vegetative phase, compared to other bands. Observation and measurement of spectral values using spectroradiometer need to be conducted periodically (starting from first planting season) to know the dynamics of the change related to the growth phase of paddy in paddy field. Pre-processing of image data needs to be conducted to obtain better LISAT data characterization results. Furthermore, it is necessary to develop appropriate algorithms or methods for geometric correction as well as atmospheric correction of LISAT data.},
keywords = {Landsat, LAPAN},
pubstate = {published},
tppubtype = {article}
}
Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultural land, especially paddy fields regarding to changes in landuse and global climate. Utilization and development of satellite technology is necessary to provide more accurate and independent database for agricultural land monitoring, especially paddy fields. This study aims to develop a utilization model for LAPAN-IPB satellite (LISAT) and other several satellites data that have been used for paddy field monitoring. This research is conducted through 2 stages: 1) Characterization LISAT satellite data to know spectral variation of paddy field, and 2) Development method of LISAT data fusion with other satellites for paddy field mapping. Based on the research results, the characteristics Red and NIR band in LISAT data imagery have a good correlation with Red and NIR band in LANDSAT 8 OLI data imagery, especially to detect paddy field in the vegetative phase, compared to other bands. Observation and measurement of spectral values using spectroradiometer need to be conducted periodically (starting from first planting season) to know the dynamics of the change related to the growth phase of paddy in paddy field. Pre-processing of image data needs to be conducted to obtain better LISAT data characterization results. Furthermore, it is necessary to develop appropriate algorithms or methods for geometric correction as well as atmospheric correction of LISAT data. |
