PENGINDERAAN JAUH DAN SIG UNTUK ANALISIS WILAYAH KESESUAIAN HABITAT MACAN TUTUL JAWA (Panthera pardus  melas Cuvier, 1809) Studi Kasus di Provinsi Jawa Barat

Nurhuda, Ahmad; Huda, Diki Nurul; Senjani, Mina

doi:10.24895/sng.2018.3-0.959

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…Sukabumi. Meanwhile, the shrimp catch area was mapped based on information from interviews with fishermen [21].…”

Section: Methodsmentioning

confidence: 99%

Spatial study of total suspended solid (TSS) for shrimp catching areas based on changes in watershed land cover and oceanographic factors in Ciletuh Bay 2017 – 2021

Sukmawati,

Supriatna,

Rustanto

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The TSS in Ciletuh Bay originates from the Ci Leutuh and Ci Marinjung estuaries. This study aimed to analyze the effect of changes in watershed land cover and oceanographic factors (salinity, bathymetry, sea surface currents) on the distribution of TSS and the relationship between TSS and shrimp catch activity. This research uses remote sensing method, Budhiman Algorithm for TSS, Cilamaya Algorithm for salinity, and Maximum Likelihood Classification for watershed land cover. The results show that sea surface currents and changes in watershed land cover (forest, bare land, and shrub) affect the distribution of TSS in Ciletuh Bay. The relationship between TSS with salinity and bathymetry is negatively correlated. The existence of TSS in Ciletuh Bay causes the dominance of muddy waters so that it becomes a habitat for various types of Penaeid shrimp. The types of penaeid shrimp that are mostly caught in Ciletuh Bay are rebon shrimp and endok shrimp.

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“…Sukabumi. Meanwhile, the shrimp catch area was mapped based on information from interviews with fishermen [21].…”

Section: Methodsmentioning

confidence: 99%

Spatial study of total suspended solid (TSS) for shrimp catching areas based on changes in watershed land cover and oceanographic factors in Ciletuh Bay 2017 – 2021

Sukmawati,

Supriatna,

Rustanto

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…S, R et al, (2023) Vegetation and Built-Up Area | 117 index values are in the range of -1 to 1. Values close to -1 indicate areas that are not built-up land, and built-up land that tends to be dense to very dense has a value close to 1 (Nurhuda et al, 2019). NDBI can effectively describe the land surface temperature with a positive correlation every season: the larger the urban built-up land, the higher NDBI and land surface temperature.…”

Section: Built-up Area Changes In Bandung City (2014-2021)mentioning

confidence: 99%

Vegetation and Built-Up Area Monitoring in Bandung City Using Multitemporal Imagery

Himayah

Ramadhan²,

Salma³

2023

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Bandung is West Java's largest metropolitan city and Indonesia's third largest. The city of Bandung is very strategic in various aspects, such as accessibility, communication, public facilities, and the economy. The Increased population in Bandung indicates more complex ongoing human activities, which can then affect changes in land use. The land covers in urban areas tends to change more drastically over a short period e than in rural areas because of rapid urbanization. Therefore, urban phenomenon changes are ideally monitored and detected from satellite images with a multitemporal resolution. Vegetation greenness and built-up areas can identify through multitemporal remote sensing imagery. Changes in vegetation and built-up area can monitor using remote sensing with multitemporal imagery. The analysis of changes in vegetation and built-up area studied in Bandung City represents an area with rapid population growth. This study aims to: 1) Identify changes in vegetation greenness in Bandung City between 2014 and 2021, 2) Identify built-up area changes in Bandung City between 2014 and 2021, 3) Analyze the relevance between vegetation greenness and the built-up area in Bandung City—the correlation between NDBI and NDVI through selected samples is representative of all data in Landsat 8 imagery. The proportion between the values of NDBI and NDVI samples is 0.9034. So, it is concluded that the two variables are positively correlated. Therefore, the study’s results recommend preserving vegetated land cover to conserve natural resources and prevent increased land surface temperature.Keywords: Remote Sensing Imagery, Built-Up Area, Vegetation Greenness, Bandung City

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“…Jawa Individu macan tutul jawa diidentifikasi berdasarkan pola tutul, jenis kelamin, ciri morfologi, ukuran tubuh dan tanda-tanda spesifik (Olviana, 2011) yang tertangkap dalam kamera jebak. (Nurhuda, Huda, & Senjani, 2018), satwa, dan jarak dari sumber gangguan (Malau, 2013). Kemudian dilakukan overlay dan pembobotan atau skoring pada setiap variabel.…”

Section: Analisis Data 1 Identifikasi Individu Macan Tutulunclassified

ANALISIS KESESUAIAN KORIDOR HALIMUN SALAK SEBAGAI PERLUASAN HABITAT MACAN TUTUL JAWA (Panthera pardus melas) DI TAMAN NASIONAL GUNUNG HALIMUN SALAK

Ardiansyah

Hernowo

Gunawan³

2020

Jur.pen.hut.konservasi

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PENGINDERAAN JAUH DAN SIG UNTUK ANALISIS WILAYAH KESESUAIAN HABITAT MACAN TUTUL JAWA (Panthera pardus melas Cuvier, 1809) Studi Kasus di Provinsi Jawa Barat

Cited by 3 publications

References 1 publication

Spatial study of total suspended solid (TSS) for shrimp catching areas based on changes in watershed land cover and oceanographic factors in Ciletuh Bay 2017 – 2021

Spatial study of total suspended solid (TSS) for shrimp catching areas based on changes in watershed land cover and oceanographic factors in Ciletuh Bay 2017 – 2021

Vegetation and Built-Up Area Monitoring in Bandung City Using Multitemporal Imagery

ANALISIS KESESUAIAN KORIDOR HALIMUN SALAK SEBAGAI PERLUASAN HABITAT MACAN TUTUL JAWA (Panthera pardus melas) DI TAMAN NASIONAL GUNUNG HALIMUN SALAK

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