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All Journal Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management)
Hidayat Pawitan
Departemen Geofisika dan Meteorologi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Environmental Science

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ANALISIS PENJALARAN KEKERINGAN METEOROLOGI MENUJU KEKERINGAN HIDROLOGI PADA DAS LARONA Ika Purnamasari; Hidayat Pawitan; Findy Renggono
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 7 No. 2 (2017): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.7.2.163-171

Abstract

Hydrological drought is water deficit from normal conditions on the hydrological system. Hydrological drought occurs through a complex process preceded by a rainfall deficit. The series of processes that show a change of drought signals through the hydrological cycle is expressed as drought propagation. This study aims to identify the characteristics of hydrological and meteorological drought and to identify meteorological drought propagation to hydrological drought through Larona Watershade. Standardized Precipitation Index (SPI) is used as indicator to identify meteorological drought while hydrological drought is characterised by Standardised Streamflow Index (SSI) with 1, 3, 6 and 12 months accumulation periods. Propagation meteorological drought to hydrological drought was analyzed using Pearson correlation. The results showed that duration and severity escalate by the increase in the accumulation period SPI and SSI. While the number of drought events is inversely proportional to the accumulation period SPI and SSI. Althought the number of hydrological drought events was fewer, but they occurred over longer duration and much severe than the meterological one. Severe hydrological drought (SSI 1 = -14.8) in 1997-1998 has declined water storage of Lake Towuti by 90% leading to reduction in Larona hydropower production. Furthermore, our findings provide promising approach to detect hydrological drought that may occur in the near future.
PEMANFAATAN FUSI DATA SATELIT LAPAN-A3/IPB DAN LANDSAT 8 UNTUK MONITORING LAHAN SAWAH Yudi Setiawan; Lilik Budi Prasetyo; Hidayat Pawitan; Liyantono Liyantono; Syartinilia Syartinilia; Arif Kurnia Wijayanto; Prita Ayu Permatasari; A Hadi Syafrudin; Patria Rachman Hakim
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 8 No. 1 (2018): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.8.1.67-76

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.
IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELING Yudi Setiawan; Lilik Budi Prasetyo; Hidayat Pawitan; Prita Ayu Permatasari; Desi Suyamto; Arif Kurnia Wijayanto
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 8 No. 3 (2018): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.8.3.420-427

Abstract

Wildfires threaten the environment not only at local scales, but also at wider scales. Rapid monitoring system to detect active wildfires has been provided by satellite remote sensing technology, particularly through the advancement on thermal infrared sensors. However, satellite-based fire hotspots data, even at relatively high temporal resolution of less than one-day revisit period, such as time series of fire hotspots collected from TERRA and AQUA MODIS, do not tell exactly if they are fire ignitions or fire escapes, since other factors like wind, slope, and fuel biomass significantly drive the fire spread. Meanwhile, a number of biophysical fire simulation models have been developed, as tools to understand the roles of biophysical factors on the spread of wildfires.  Those models explicitly incorporate effects of slope, wind direction, wind speed, and vegetative fuel on the spreading rate of surface fire from the ignition points across a fuel bed, based on either field or laboratory experiments.  Nevertheless, none of those models have been implemented using real time fire data at relatively large extent areas. This study is aimed at incorporating spatially explicit time series data of weather (i.e. wind direction and wind speed), remotely sensed fuel biomass and remotely sensed fire hotspots, as well as incorporating more persistent biophysical factors (i.e. terrain), into an agent-based fire spread model, in order to identify fire ignitions within time series of remotely sensed fire hotspots.
Co-Authors A Hadi Syafrudin Arif Kurnia Wijayanto Desi Suyamto Findy Renggono Ika Purnamasari LILIK BUDIPRASETYO Liyantono . Patria Rachman Hakim Prita Ayu Permatasari, Prita Ayu Syartinilia . Yudi Setiawan