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MAPPING LAND COVER BASED ON TIME SERIES SYNTHETIC APERTURE RADAR (SAR) DATA IN KLATEN, INDONESIA Fikriyah, Vidya Nahdhiyatul
Jurnal Geografi Lingkungan Tropik Vol 3, No 2 (2019): August
Publisher : Open Journal System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.925 KB) | DOI: 10.7454/jglitrop.v3i2.67

Abstract

Information on the existing land cover is important for land management and planning because it can represent the intensity, location, and pattern of human activities. However, mapping land cover in tropical regions is not easy when using optical remote sensing due to the scarcity of cloud-free images. Therefore, the objective of this study is to map the land cover in Klaten Regency using a time-series Sentinel-1 data. Sentinel-1 data is one of remote sensing images with Synthetic Aperture Radar (SAR) system which is well known by its capability of cloud penetration and all-weather observation. A time-series Sentinel-1 data of both polarisations, VV and VH were automatically classified using an unsupervised classification technique, ISODATA. The results show that the land cover classifications obtained overall accuracies of 79.26% and 73.79% for VV and VH respectively. It is also found that Klaten is still dominated by the vegetated land (agriculture and non-agricultural land). These results suggest the opportunity of mapping land cover using SAR multi temporal data.   Keywords: Land cover; Synthetic Aperture Radar; Time series; Sentinel-1; Klaten
PEMETAAN KONDISI EKOLOGI PERKOTAAN SKALA MIKRO MENGGUNAKAN CITRA LANDSAT 8 DI KOTA SEMARANG Hadibasyir, Hamim Zaky; Fikriyah, Vidya Nahdhiyatul; Sunariya, M Iqbal Taufiqurrahman; Danardono, Danardono
LaGeografia Vol 18, No 3 (2020): Juni
Publisher : UNIVERSITAS NEGERI MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1453.307 KB) | DOI: 10.35580/lageografia.v18i3.13476

Abstract

Semarang City, as a capital city of a province in Indonesia, has experienced intensive rural or suburban migration to urban robinareas. Consequently, the land surface temperature (LST) is getting warmer in urbanized areas and leading to microscale temperature variation from time to time. The objectives of this study are 1) to investigate the geographical distribution of LST and vegetation covers in Semarang, and 2) to map microscale urban ecological condition with regards to LST based on urban thermal field variance index (UTFVI). Landsat 8 data was utilized to derive LST as well as vegetation covers by means of normalized difference vegetation index (NDVI). Next, UTFVI was classified based LST. This study revealed that relatively low NDVI values which mainly consists of built up areas and grassland are predominantly concentrated in the northern and central parts of Semarang. High NDVI values representing vegetation covers are predominantly located in the southern portion of Semarang. The most ecologically depressed areas are mainly distributed in the central portions of the city toward the northern portions of coastal areas. Prioritized sub-districts to be ecologically restored are Ngaliyan, Semarang Utara and Semarang Barat. Upcoming studies should emphasize on finding suitable measures to restore ecologically stressed areas.