Garuda - Garba Rujukan Digital

ANALISIS TANAH LONGSOR DI TENJOLAYA MENGGUNAKAN DATA PENGINDERAAN JAUH Haryani, Nanik Suryo
MAJALAH ILMIAH WIDYA 2012
Publisher : MAJALAH ILMIAH WIDYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (938.242 KB)

The landslide in Tenjolaya Village, Pasir Jambu Sub district, Bandung District on February 23, 2010 was triggered by a heavyrainfall on previous day. The aim of the research is to analyze the landslide occurrence based on remote sensing data in TenjolayaVillage. The data analyze uses satellite images MTSAT-1R and QMORPH, and physical condition around Bandung, which can beseen from various remote sensing images, among others ALOS and IKONOS images. The result of rainfall analysis from MTSATsatellite shows a probability of heavy rainfall on previous day, and QMORPH data shows the heavy to very heavy rainfall. MeanwhileALOS and IKONOS images shows that the morphology around the landslide area is a tea plantation field located in the high mountainouscoverage with landslide sensitive properties.

ANALISIS TANAH LONGSOR DI TENJOLAYA MENGGUNAKAN DATA PENGINDERAAN JAUH Haryani, Nanik Suryo
MAJALAH ILMIAH WIDYA 2012
Publisher : MAJALAH ILMIAH WIDYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (69.598 KB)

The landslide in Tenjolaya Village, Pasir Jambu Sub district, Bandung District on February 23, 2010 was triggered by a heavyrainfall on previous day. The aim of the research is to analyze the landslide occurrence based on remote sensing data in TenjolayaVillage. The data analyze uses satellite images MTSAT-1R and QMORPH, and physical condition around Bandung, which can beseen from various remote sensing images, among others ALOS and IKONOS images. The result of rainfall analysis from MTSATsatellite shows a probability of heavy rainfall on previous day, and QMORPH data shows the heavy to very heavy rainfall. MeanwhileALOS and IKONOS images shows that the morphology around the landslide area is a tea plantation field located in the high mountainouscoverage with landslide sensitive properties.

DINAMIKA SIKLON TROPIS DI ASIA TENGGARA MENGGUNAKAN DATA PENGINDERAAN JAUH Haryani, Nanik Suryo; Zubaidah, Any
MAJALAH ILMIAH WIDYA 2012
Publisher : MAJALAH ILMIAH WIDYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (243.083 KB)

Tropical cyclone is the form of extreme weather disturb. The growth of tropical cyclone is originated by tropical depressionor the center of an intensive low pressure above the ocean, triggering convection process and the intensive forming of cloud. Theaim of the research is to obtain the information of the extreme weather condition in the form of tropical depression and tropicalcyclones particularly the movement location of tropical cyclones and the influence coverage area in Indonesia. This method usedobservation and analyzing the impact of tropical cyclones in Indonesia area, and mapping its position based on latitude and longitudeof cyclone Centrum. The result of tropical cyclone monitoring in 2010 shows that tropical cyclone in Southern Indonesian area orIndian Ocean lasted in January, part of March and December 2010. Meanwhile, the tropical cyclone in Northern Indonesian areaon South China Sea and West Pacific was lasted in April , May, July, August, September, October, November and part of March 2010.Tropical cyclone on March 2010 did not show an orderly pattern. On May 2010, the tropical cyclones are simultaneously happen inthe northern and southern of Indonesia. In 2010 the concentration of tropical cyclone is heavily taken place in northern part ofIndonesia.

VALIDASI HOTSPOT MODIS INDOFIRE DI PROVINSI RIAU Vetrita, Yenni; Haryani, Nanik Suryo
GEOMATIKA Vol 18, No 1 (2012)
Publisher : Badan Informasi Geospasial in Partnership with MAPIN

Dalam penelitian ini telah diuji akurasi hotspot MODIS Indofire di Provinsi Riau pada tahun 2011 menggunakan penggabungan 3 metode, yaitu survei lapangan, buffering 2 km dari hotspot, dan deteksi asap secara visual. Nilai akurasi diperoleh sebesar 43%, dengan commission error 53%, dan omission error 4%. Nilai tersebut hampir menyerupai nilai yang diperoleh dari hasil pengujian akurasi hotspot MODIS di wilayah Brazil yang juga merupakan wilayah tropis. Faktor utama penyebab rendahnya nilai tersebut salah satunya diduga dari kabut tebal yang tidak bisa dideteksi oleh algoritma MODIS saat ini, disamping kendala awan, luas kebakaran, maupun faktor waktu lintasan satelit dengan waktu terjadinya kebakaran. Hasil pengujian hotspot masih banyak didukung oleh pengujian secara visual dan buffering. Hasil pengecekan lapangan yang lebih banyak, diharapkan dapat lebih menunjang pengujian akurasi ini, mengingat pengujian visual pun memiliki banyak keterbatasan terutama kendala awan. Kerjasama dengan pemerintah daerah setempat dalam mendapatkan lokasi pemadaman kebakaran hutan/lahan dan luas kebakaran diharapkan dapat mempertajam hasil pengujian akurasi hotspot MODIS Indofire.Kata Kunci: Validasi Hotspot/titik panas, MODIS Indofire, Kebakaran hutan/lahanÂ ABSTRACTThis study is aimed to examine the accuracy of MODIS Indofirehotspots in Riau Province for 2011 using three methods, i.e. the field survey, 2 km hotspot buffering, and visually smoke detection. The accuracy values was43%, with 53% commission error and 4% omission error. This is almost similar to the value obtained from hotspot validation in Brazil which is also a tropical region. We infer that the main factor for the low value is a thick fog that cannot be detected by current MODIS algorithm. Besides that, there are cloud constraints, widespread fires, Â and the time factor of satellite trajectory andfire Â that become caused factors. The hotspot test results were much supported by visualcheck and buffering methods. more ground checking Â is expected to provide better accuracy result since the visual method has limitation, particularly due to cloud constraint. Therefore, a cooperation with local government to obtain fire fighting location in the forest/land fires is expected can improve MODIS hotspotIndofire accuracy.Keywords: Hotspot Validation, MODIS Indofire, Forest/land fire

ANALISIS PERUBAHAN HUTAN MANGROVE MENGGUNAKAN CITRA LANDSAT Haryani, Nanik Suryo
Jurnal Ilmiah Widya Vol 1 No 1 (2013)
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah III Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (117.218 KB)

Indonesia is a country of the largest mangrove forest in the world, but the deforestation problem will lead into the change of coastal ecosystem which causes the downgrade the physical, biological and economic level. The goal of this research is to analyze the change of mangrove forest using the Landsat image of 2001â€“2011 in Probolinggo Regency. Based on the result of analysis of Landsat image of 2001 and 2011, it is indicated that during 11 years period there is a change of mangrove forest area, with the most dominant change happened in Tambakrejo village at 25,57 hectars, in Lemahkembar village at 22,46 hectars and in Mangunharjo village at 17,66 hectars. Meanwhile, the less dominant change of mangrove forest was happened in Sumberanyar village at 3,25 hectars, Bayeman village at 1,82 hectars, and Dungun village at 1,31 hectars.

KARAKTERISTIK POLA SPEKTRAL PADA LAHAN TAMBANG TIMAH BERBASIS CITRA Haryani, Nanik Suryo; Fitriana, Hana Listi; Effendy, Iskandar
MAJALAH ILMIAH GLOBE Vol 21, No 1 (2019)
Publisher : Badan Informasi Geospasial

Obyek yang berada di permukaan bumi mempunyai nilai spektral yang berbeda, sehingga setiap obyek yang terekam dalam citra satelit pada setiap panjang gelombang elektromagnetik akan mempunyai nilai spektral yang berbeda pula. Permasalahan yang muncul pada lahan bekas tambang ini adanya lahan terbuka yang secara visual terlihat adanya beraneka ragam kenampakan. Kondisi ini menarik untuk dilakukan penelitian masalah karakteristik spektral pada obyek tersebut. Penelitian ini bertujuan untuk menganalisis karakteristik spektral pada lahan bekas tambang. Metode yang digunakan dalam penelitian ini dengan menggunakan data citra Landsat tahun 2005, 2010, dan 2015, dengan mengkonversi nilai digital menjadi nilai reflektansi, selanjutnya melakukan konversi ke spektral radiansi Top of Atmosphere (ToA), konversi ke reflektansi ToA, dan konversi spektral radiansi ke temperatur kecerahan. Karakteristik pola spektral pada lahan bekas tambang yang dihasilkan berdasarkan reflektansi yang diperoleh dari citra tersebut. Hasil karakteristik pola spektral yang diteliti dari obyek pada lahan bekas tambang yang dikelaskan menjadi 4 kelas yaitu daerah terbuka secara visual berwarna abu-abu, putih terang, coklat dan kolong (bekas lahan tambang berbentuk cekung yang terisi air) yang secara visual berwarna biru. Perbedaan spektral yang terlihat jelas adalah pola spektral pada band 1, band 2, dan band 5, sedangkan band 3 dan band 4 mempunyai pola yang hampir sama. Korelasi antara nilai spektral hasil pengolahan citra terhadap nilai spektral hasil pengukuran di lapangan pada lahan terbuka bekas tambang timah mempunyai nilai korelasi terbesar pada obyek timah coklat dengan nilai korelasi sebesar 83,70%, sedangkan nilai korelasi terkecil pada obyek kolong dengan nilai korelasi sebesar 67,90%.

DETECTION OF ACID SLUDGE CONTAMINATED AREA BASED ON NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) VALUE Nanik Suryo Haryani; Sayidah Sulma; Junita Monika Pasaribu
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 11, No 1 (2014)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

The solid form of oil heavy metal waste is known as acid sludge. The aim of this research is to exercise the correlation between acid sludge concentration in soil and NDVI value, and further studying the Normalized Difference Vegetation Index (NDVI) anomaly by multi-temporal Landsat satellite images. The implemented method is NDVI. In this research, NDVI is analyzed using the remote sensing data on dry season and wet season. Between 1997 to 2012, NDVI value in dry season is around – 0.007 (July 2001) to 0.386 (May 1997), meanwhile in wet season NDVI value is around – 0.005 (November 2006) to 0.381 (December 1995). The high NDVI value shows the leaf health or thickness, where the low NDVI indicates the vegetation stress and rareness which can be concluded as the evidence of contamination. The rehabilitation has been executed in the acid sludge contaminated location, where the high value of NDVI indicates the successfull land rehabilitation effort.

DETECTING THE AREA DAMAGE DUE TO COAL MINING ACTIVITIES USING LANDSAT MULTITEMPORAL (Case Study: Kutai Kartanegara, East Kalimantan) nFn suwarsono; Nanik Suryo Haryani; Indah Prasasti; Hana Listi Fitriana; M. Priyatna; M. Rokhis Khomarudin
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 14, No 2 (2017)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Coal is one of the most mining commodities to date, especially to supply both national and international energy needs. Coal mining activities that are not well managed will have an impact on the occurrence of environmental damage. This research tried to utilize the multitemporal Landsat data to analyze the land damage caused by coal mining activities. The research took place at several coal mine sites in East Kalimantan Province. The method developed in this research is the method of change detection. The study tried to know the land damage caused by mining activities using NDVI (Normalized Difference Vegetation Index), NDSI (Normalized Difference Soil Index), NDWI (Normalized Difference Water Index) and GEMI (Global Environment Monitoring Index) parameter based change detection method. The results showed that coal mine area along with the damage that occurred in it can be detected from multitemporal Landsat data using NDSI value-based change detection method. The area damage due to coal mining activities can be classified into high, moderate, and low classes based on the mean and standard deviation of NDSI changes (ΔNDSI). The results of this study are expected to be used to support government efforts and mining managers in post-mining land reclamation activities.

PERUBAHAN KERUSAKAN LAHAN PULAU MADURA MENGGUNAKAN DATA PENGINDERAAN JAUH DAN SIG Haryani, Nanik Suryo; Kustiyo, Kustiyo; Khomarudin, Rokhis; Parwali, Parwali
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3184

Development activities that do not pay enough attention to the environmental aspect will bring about the effect to the environment, particularly to the event of land damage. The effort to control and recover the land damage calls for the complete and accurate data and information. Along with the remote sensing technology development, it enables to study the land damage effectively and efficiently in the large scale region. The method used in the research is by utilizing the Landsat-TM image and the Geographic Information System (GIS) to determine the stage of land damage. The potential determination of land damage is carried out by weighting the indicator of land damage that all together function as the variable. The output obtained shows that the stage of land damage in Madura Island from 1994 until 2001 is the condition or the stage of land damage that belongs to the rather damaged class decreases to 0.90%, while the stage that belong to the damaged class is 3.90% and the stage of the big damaged is 0.14%.

MODEL BAHAYA BANJIR MENGGUNAKAN DATA PENGINDERAAN JAUH DI KABUPATEN SAMPANG Haryani, Nanik Suryo; Zubaidah, Any; Dirgahayu, Dede; Yulianto, Hidayat Fajar; Pasaribu, Junita
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 9 No. 1 (2012)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v9i1.3259

Flood is the first biggest disaster in Indonesia, as stated by the National Disaster Management Agency (BNPB) in the BNPB’s natural disaster data of year 2000 to 2009. Considering the flood has the significant impact of causing the casualties and material losses, it is necessary to study on it. One of useful data for studying the flood is remote sensing data. The advantage of good historical data makes it possible to see the changes of cover/land use from year to year in a region. The extensive area coverage of remote sensing data allows it to view and analyze in a comprehensive manner. The method of the study of flood hazard models is using multiple variables, where each variable has a class of criteria. Determination of the weight of each flood variable by using the Composite Mapping Analysis. The results of this study shows the main cause of flooding in the District of Sampang is that most of the land system in the cities are the combined estuary and swamp plain, forming a low land and is triggered by the torrential rain. The model of flood hazard maps produced by variable weighting floods with a multi criteria analysis method which is function of rainfall, landuse, slope, land system and elevation.

Title

Found 21 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 21 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 21 Documents
Search