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All Journal AGRIVITA, Journal of Agricultural Science MAJALAH ILMIAH GLOBE International Journal of Remote Sensing and Earth Sciences (IJReSES) Makara Journal of Technology
Sayidah Sulma, Sayidah
Lembaga Penerbangan dan Antariksa Nasional, Jakarta 13710, Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

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 1 
Analysis of Agricultural Drought in East Java Using Vegetation Health Index Amalo, Luisa Febrina; Hidayat, Rahmat; Sulma, Sayidah
AGRIVITA, Journal of Agricultural Science Vol 40, No 1 (2018): FEBRUARY
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v40i1.1080

Abstract

Drought is a natural hazard indicated by the decreasing of rainfall and water storage and impacting agricultural sector. Agricultural drought assessment has been used to monitor agricultural sustainability, particularly in East Java as national agricultural production center. Identification of drought characteristics –correlated with El Niño-Southern Oscillation, and agricultural impact on paddy fields and rice production using VHI (Vegetation Health Index) were conducted. VHI is produced by TCI (Temperature Condition Index) and VCI (Vegetation Condition Index) derived from MODIS satellite data, LST (Land Surface Temperature) and EVI (Enhanced Vegetation Index), respectively. The results showed agricultural drought usually started in June, maximum in October and ended in November. Onset and end time drought tends to follow monsoonal rainfall pattern. El Niño 2015 showed long duration of agricultural drought (i.e. ± 5 months), high severity (i.e. mild-extreme drought; VHI 0-40) and areal extent of drought approx. 197,343 km2, while during La Niña 2010 the areal extent was approx. 28,685 km2 with mild-severe drought (VHI 10-40). Impact of agricultural drought on paddy fields showed wider (smaller) areal extent in sub-round 3 (sub-round 1) from September-December (January-April). Areal extent of drought was negatively correlated with rice production (r=-0.79) which significant in 99 % confidence level.
DETEKSI TUMPAHAN MINYAK MENGGUNAKAN METODE ADAPTIVE THRESHOLD DAN ANALISIS TEKSTUR PADA DATA SAR Sulma, Sayidah; Rahmi, Khalifah Insan Nur; Febrianti, Nur; Sitorus, Jansen
MAJALAH ILMIAH GLOBE Vol 21, No 1 (2019)
Publisher : Badan Informasi Geospasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1426.618 KB) | DOI: 10.24895/MIG.2019.21-1.925

Abstract

Metode untuk deteksi tumpahan minyak menggunakan data SAR telah berkembang dari metode manual hingga metode otomatis. Penelitian ini bertujuan untuk membandingkan metode analisis tekstur dan adaptive threshold untuk deteksi tumpahan minyak menggunakan citra SAR Sentinel 1. Wilayah kajian meliputi perairan utara Bintan yang hampir rutin terjadi kasus tumpahan minyak khususnya pada musim barat/utara, serta perairan Teluk Balikpapan yang mengalami kejadian tumpahan minyak yang cukup besar pada akhir Maret 2018. Tahap awal dilakukan koreksi data meliputi koreksi atau kalibrasi radiometrik, filtering dan land masking. Tahap selanjutnya adalah deteksi dark spot yang dilakukan menggunakan dua pendekatan dan dibandingkan metode yang memberikan hasil terbaik. Metode pertama adalah analisis tekstur menggunakan Grey Level co-occurrence matrix (GLCM) dengan perhitungan homogenity, entropi dan Angular Second Moment (ASM), kemudian dilakukan klasifikasi menggunakan Maximum Likelihood, sedangkan pendekatan kedua adalah menggunakan adaptive threshold. Hasil kajian menunjukkan bahwa metode tekstur analisis GLCM dan adaptive threshold pada citra SAR Sentinel 1 memberikan hasil yang cukup baik untuk area tumpahan minyak yang cukup tebal. Namun untuk area tumpahan minyak yang tipis atau pada wilayah pencampuran air, metode adaptive threshold memberikan hasil yang lebih baik. Modifikasi berupa masking kapal (atau objek dengan backscatter tinggi) sebelum diterapkan metode adaptive threshold dapat mengurangi kesalahan seperti terdeteksinya objek minyak di sekitar kapal.
Coastal Physical Vulnerability of Surabaya and Its Surrounding Area to Sea Level Rise Sulma, Sayidah; Kusratmoko, Eko; Saraswati, Ratna
Makara Journal of Technology Vol. 16, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The study for coastal vulnerability to sea level rise was carried out in Surabaya and its surrounding area, it has focused on calculations of the physical vulnerability index were used coastal vulnerability index (CVI) methods. It was standardized by the multi criteria analysis (MCA) approach according to the study area. The score of each physical variable derived from remote sensing satellite data and the results of studies that have been done, such as modeling results and thematic maps, and then integrated into geographic information systems (GIS). Result of this study shows that the coastal areas of Gresik, Surabaya, and Sidoarjo in the very low to very high vulnerability level. Physically, the low land areas with open and slightly open coastal have a high vulnerability category. The high level vulnerability was found located in the northern of Madura Strait (Gresik Regency) that overlooks to the Java Sea is about 28.81% from the entire of study areas. Meanwhile, the moderate, low and very low levels of vulnerability were located on Surabaya and Sidoarjo Regency that have more protected coastal area, relatively. According to the physical condition, the coastal elevation is the most variable that contributes to the high of vulnerability index in the coastal of Surabaya City and Sidoarjo Regency.
DETECTING SURFACE WATER AREAS AS ALTERNATIVE WATER RESOURCE LOCATIONS DURING THE DRY SEASON USING SENTINEL-2 IMAGERY (CASE STUDY: LOWLAND REGION OF BEKASI-KARAWANG, WEST JAVA PROVINCE) Nugroho, Jalu Tejo; Suwarsono, Suwarsono; Chulafak, Galdita Aruba; Julzarika, Atriyon; Manalu, Johannes; Harini, Sri; Suhadha, Argo; Sulma, Sayidah
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 18, No 2 (2021)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3626

Abstract

In Indonesia, drought is a type of disaster that often occurs, especially during the dry season. What is most needed at such times is the availability of sufficient water sources to meet shortages. Therefore, water source locations are vital during the dry season in order to meet needs. To meet this information need, remote sensing data offer a precise solution.  This research proposes a rapid method of detecting surface water areas based on remote sensing image data. It focuses on the use of remote sensing satellite imagery to detect objects and the location of surface water sources. The purpose of the study is to rapidly identify objects and locate surface water sources using Sentinel-2 MSI (MultiSpectral Instrument), one of the latest types of remote sensing satellite data. Several water index (WI) methods were applied before deciding which was most suitable for detecting surface water objects. The lowland region of Bekasi-Karawang, a drought prone area, was designated as the research location. The results of the research show that by using Sentinel-2 MSI imagery, MNDWI (Modified Normalized Water Index) is the appropriate parameter to detect surface water areas in the lowland region of Bekasi-Karawang, West Java Province, Indonesia, during times of drought. The method can be employed as an alternative approach based on remote sensing data for the rapid detection of surface water areas as alternative sources of water during the dry season. The existence of natural water sources (swamps, marshes, ponds) that remain during this time can be used as alternative water resources. Further research is still needed which focuses on different geographical conditions and other regions in Indonesia.
HOTSPOT VALIDATION OF THE HIMAWARI-8 SATELLITE BASED ON MULTISOURCE DATA FOR CENTRAL KALIMANTAN Rahmi, Khalifah Insan Nur; Sulma, Sayidah; Prasasti, Indah
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 16, No 2 (2019)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1112.862 KB) | DOI: 10.30536/j.ijreses.2019.v16.a3293

Abstract

The Advanced Himawari Imager (AHI) is the sensor aboard the remote-sensing satellite Himawari-8 which records the Earth’s weather and land conditions every 10 minutes from a geostationary orbit. The imagery produced known as Himawari-8 has 16 bands which cover visible, near infrared, middle infrared and thermal infrared wavelength potentials to monitor forestry phenomena. One of these is forest/land fires, which frequently occur in Indonesia in the dry season. Himawari-8 can detect hotspots in thermal bands 5 and band 7 using absolute fire pixel (AFP) and possible fire pixel (PFP) algorithms. However, validation has not yet been conducted to assess the accuracy of this information. This study aims to validate hotspots identified from Himawari images based on information from Landsat 8 images, field surveys and burnout data. The methodology used to validate hotspots comprises AFP and PFP extraction, determining firespots from Landsat 8, buffering at 2 km from firespots, field surveys, burnout data, and calculation of accuracy. AFP and PFP hotspot validation of firespots from Landsat-8 is found to have higher accuracy than the other options. In using Himawari-8 hotspots to detect land/forest fires in Central Kalimantan, the AFP algorithm with 2km radius has accuracy of 51.33% while the PFP algorithm has accuracy of 27.62%.
Co-Authors Amalo, Luisa Febrina Atriyon Julzarika Chulafak, Galdita Aruba Eko Kusratmoko Febrianti, Nur Indah Prasasti, Indah Jalu Tejo Nugroho, Jalu Tejo Johannes Manalu, Johannes Rahmat Hidayat Rahmi, Khalifah Insan Nur Rahmi, Khalifah Insan Nur Ratna Saraswati, Ratna Sitorus, Jansen Sri Harini Suhadha, Argo Suwarsono Suwarsono