The rehabilitate degraded watersheds efforts at the national level tends to ineffective, due to the lack of synergy between stakeholders and community involvement. This paper aims to give an idea that planning for rehabilitation of degraded watersheds can be started from the community level, through the involvement of the community in spatial planning. It can be done by integrating watershed and administration unit with participatory mapping method. From two locations in Central Java and West Nusa Tenggara, it shows that participatory mapping could be implemented as a method to identify existing land use, land cover and finding the problem in their environment. Furthermore, spatial planning can be developed together by the community in different village but in the same watershed area.

The success of tourism in any country depends on the country's ability to develop, manage and market its tourism facilities and activities. Tourism development and management can be done in various ways. One of the most effective and efficient ways is to utilize remote sensing technology and geographic information systems (GIS). This article was created to archive and review some of the findings of the use of remote sensing technology and GIS for tourism management and development, using the literature review method. The use of remote sensing technology and GIS for tourism development and management has been widely used by various academics and researchers in various countries in the world including in Indonesia. This is acceptable because it is considered effective and efficient, the suitability of tourism development studies, for the study of tourism multimedia development, identification of the most desirable tourist areas, and for the evaluation of ecotourism areas.

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Abstrak:Konversi lahan yang terjadi di wilayah perkotaan menajdikan keberadaan ruang terbuka hijau terancam. Ruang terbuka hijau terdiri dari vegetasi yang dapat dianalisis menggunakan penginderaan jauh.  Selain menggunakan penginderaan jauh, penerapan sistem informasi geografis (SIG) juga mengambil peran penting dalam mengelola dan menghasilkan suatu informasi spasial. Dengan integrasi penginderaan jauh dan SIG, setiap jenis penutup lahan dapat diketahui persebarannya secara spasial dan dapat dilakukan analisis hingga dipetakan. Citra satelit SPOT-6 digunakan sebagai data untuk mengekstrak informasi penutup lahan vegetasi dengan memanfaatkan metode klasifikasi berbasis objek atau Object-Based Image Analysis (OBIA). Penelitian ini mengkaji pemanfaatan metode OBIA pada citra satelit SPOT-6 yang merupakan citra resolusi tinggi untuk mengidentifikasi penutup lahan berupa jenis vegetasi dengan karakteristik wilayah Kota Bogor. Akurasi penggunaan metode OBIA pada citra SPOT 6 mampu menghasilkan akurasi sebesar 94% dan nilai Kappa sebesar 91%. Dengan resolusi spasial citra SPOT-6 yang digunakan mencapai 1,5 meter, penggunaan metode OBIA di wilayah Kota Bogor mampu dengan baik menghasilkan klasifikasi penutup lahan vegetasi dengan jenis dan karakteristiknya. OBIA mampu membedakan kelas-kelas penutup lahan dengan karakteristik vegetasi yang berbeda seperti, pohon, semak dan belukar, serta herba dan rumput. Kata kunci: OBIA, penutup lahan, vegetasi, RTH, SPOT-6   Abstract: Land conversion that occurs in urban areas makes the existence of green open spaces threatened. Green open space consists of vegetation that can be analyzed using remote sensing. In addition to using remote sensing, the application of geographic information systems (GIS) also plays an important role in managing and producing spatial information. With the integration of remote sensing and GIS, each type of land cover can be identified spatially and can be analyzed and mapped. SPOT-6 satellite imagery is used as data to extract vegetation land cover information by utilizing the Object-Based Image Analysis (OBIA) classification method. This study examines the use of the OBIA method on SPOT-6 satellite imagery which is a high-resolution image to identify land cover in the form of vegetation types with the characteristics of the Bogor City area. The accuracy of using the OBIA method on SPOT-6 images is able to produce an accuracy of 94% and a Kappa of 91%. With the spatial resolution of the SPOT-6 imagery used reaching 1.5 meters, the use of the OBIA method in the Bogor City area is able to produce a classification of vegetation land cover with its types and characteristics. OBIA is able to distinguish land cover classes with different vegetation characteristics such as trees, shrubs, as well as herbs and grasses. Keywords: OBIA, land cover, vegetation, green open space, SPOT-6

Urban areas tend to have significant temperature differences with the surrounding area. The city of Bandung is surrounded by mountains and forms the Bandung Basin. Land cover differences between Bandung City and surrounding area caused a temperature differences that can identified with remote sensing imagery. The aim of this research are to analyse the change of land surface temperature and the vegetation greenness level in Bandung Basin using Landsat multi-temporal image also to identify correlation between surface temperature change with greenness level in Bandung Basin. In Bandung Basin, there is an increase in temperature in various land covers (Vegetation in flat areas, Vegetation in steep and high altitude areas, Water, Built-up area, and Open Land area) from 1990-2018. Meanwhile, there is less green vegetation in Bandung Basin from 1990-2018. The results of the analysis show a better correlation between Land Surface Tempertare (LST) and Simple Ratio Index (SRI) than the correlation between Land Surface Tempertare (LST) and Normalized Difference Vegetation Index (NDVI). The conclution of this research that preservation of vegetated areas can be done in Bandung Basin to address the increasing of Land Surface Temperature.