DYNAMICAL LAND/FOREST FIRE HAZARD MAPPING OF KALIMANTAN BASED ON SPATIAL AND SATELLITE DATA (PEMETAAN KEBAKARAN LAHAN/HUTAN DINAMIS PULAU KALIMANTAN BERDASARKAN DATA SPASIAL DAN SATELIT)

Early warning system is an important component in land/forest fire management. Since Kalimantan is one of prone areas to fires in Indonesia, land/forest fire hazard mapping for the area is essential to provide early warning information. Methods on static fire hazard mapping have been established using geographic information system. Land/forest fire hazard mapping could be established based on spatial biophysical parameters such as rainfall, vegetation condition, land cover, and land type. Since most parameters can be derived from satellite data and some of them are predictable, a dynamical land/forest fire hazard maps can be generated. The objective of this research was to construct a model of forest fire hazard mapping for Kalimantan. Spatial data used consisted of spatial rainfall maps, Normalized Difference Vegetation Index (NDVI) maps derived from NOAA-AVHRR data, land cover maps from Landsat TM data, and land type map. The results show that contributions of rainfall and NDVI to fire hazards should be higher than land cover and land type. The weights of NDVI, rainfall, land cover, and land type are 0.35, 0.30, 0.20, and 0.15 respectively. For the case study of 1997 – 2002 periods, it has been shown that most hotspots are located in areas with forest fire hazard of high level

Dynamical Land/forest Fire Hazard Mapping Of Kalimantan Based On Spatial And Satellite Data (Pemetaan Kebakaran Lahan/hutan Dinamis Pulau Kalimantan Berdasarkan Data Spasial dan Satelit)

Early warning system is an important component in land/forest fire management. Since Kalimantan is one of prone areas to fires in Indonesia, land/forest fire hazard mapping for the area is essential to provide early warning information. Methods on static fire hazard mapping have been established using geographic information system. Land/forest fire hazard mapping could be established based on spatial biophysical parameters such as rainfall, vegetation condition, land cover, and land type. Since most parameters can be derived from satellite data and some of them are predictable, a dynamical land/forest fire hazard maps can be generated. The objective of this research was to construct a model of forest fire hazard mapping for Kalimantan. Spatial data used consisted of spatial rainfall maps, Normalized Difference Vegetation Index (NDVI) maps derived from NOAA-AVHRR data, land cover maps from Landsat TM data, and land type map. The results show that contributions of rainfall and NDVI to fire hazards should be higher than land cover and land type. The weights of NDVI, rainfall, land cover, and land type are 0.35, 0.30, 0.20, and 0.15 respectively. For the case study of 1997 – 2002 periods, it has been shown that most hotspots are located in areas with forest fire hazard of high level

Pengaruh Variabilitas Iklim terhadap Produktivitas Padi Berdasarkan Data Penginderaan Jauhclimate Variability Effect On Rice Productivity Based On Remote Sensing Data

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Analisis Perubahan Cuaca Pada Areal Persawahan Di Pulau Jawa Dan Pengaruhnya Terahadap Produktivitas Padi

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Analisis Curah Hujan dan Suhu Untuk Menyusun Pola Tanam Tanaman Pangan di Jawa Barat

Pertanian merupakan salah satu kegiatan produksi dalam menghasilkan bahan pangan yang harus diulang dari tahap awal bila terjadi kegagalan. Kerugian balk berupa modal, tenaga, dan waktu akan dialami bila perencanaan awal tanam, periode musim tanam, pola tanam, dan jenis tanaman yang digunakan sebagai titik awal kegiatan tidak tepat. Oleh karena itu diperlukan perencanaan tanam yang balk berdasarkan data curah hujan dan suhu udara sebelumnya. Dalam penelitian ini akan dibahas pola tanam padi, jagung, dan kedelai untuk 5 lokasi di Jawa Barat (Karawang, Serang, Cianjur, Tasikmalaya, dan Indramayu) berdasarkan kebutuhan air tanaman yang digambarkan oleh parameter evapotranspirasi, koefisien tanaman, dan neraca air lahan. Awal tanam, periode musim tanam dan pola tanam untuk daerah Cianjur dan Tasikmalaya adalah sama, tetapi lain halnya dengan Karawang, Serang, dan Indramayu yang memiliki karakteristik berbeda.Hlm. 69-8

Banking efficiency and stock market performance: an analysis of listed Indonesian banks

Indonesian banking, Emerging markets, Productivity, Efficiency, C23, C52, G21,