Rapid landuse change in an urban area is inevitable. Jakarta as the capital city of Indonesia is experiencing rapid landuse change. Jakarta is the centre of administration, economic activities, and entertainment pull people coming in to Jakarta. The dynamics of demography in Jakarta influences landuse change strongly. This research use three districts in Jakarta to see how landuse change over period of time. They are Penjaringan, Cengkareng, and Cakungsubdistrict. By combining landuse data, demographic features, and spatial data, such as satellite imagery, landuse change can be monitored and explained. The most significant landuse changes are industrial area and settlements. Both landuses are expanding. Meanwhile open spaces are decresing in size. This happens due to high demand of settlements caused by migrants coming in to work in industrial are. The result of this phenomenon is slum area in the city and lack of opened green spaces that can degrade environmental quality.

This research is conducted to determine and analyze carrying capacity of agricultural land of Sumatra Selatan in 2015 as well as to project it in 2030. The analysis is also carried out to describe the Optimum Population Number and Land Requirement per Hectare of each regency and municipality in 2030. The research method applied using quantitatively descriptive method in which the data is collected from secondary source such as Agricultural Ministry and Central Statistics Agency publication and supported by literature study. The result shows that Sumatra Selatan has high carrying capacity (τ > 1) in 2015 and 2030. It means that the province is capable of food self-sufficiency since the province is underpopulated. The projection indicates that there is decline of carrying capacity in 2030 occurring across the province. For example, Ogan Komering Ulu (OKU) Regency which previously has high carrying capacity, is predicted to have experience low carrying capacity.

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Changes in Land Use/Land Cover (LULC) generate several impacts which affect the energy balance of the Earth and, consequently, modifying the climate of a region. Accordingly, one of the most important indicators of this modification is the Land Surface Temperature (LST). The present work aims to analyze the relationship between LULC and LST, determining the influence of LULC on LST using Geographical Information Systems (GIS) and Remote Sensing (RS) techniques. The selected study area was the San Luis Potosí Basin, México (SLPB). A temporal analysis has been developed for 2007 and 2020. Satellite images from Landsat 5 TM and 8 OLI/TIRS has been used to calculate LST through a single-channel algorithm for winter and spring. LULC has been determined from a supervised classification with neural network algorithm. Finally, change rates for LULC and LST were assessed. The results indicate that an LST increase of 11 °C from 2007 to 2020 has been detected in the region. Also, results showed that covers with spare vegetation or without vegetation have the highest temperatures (29°C to 32°C). In comparison, the covers with dense vegetation and water showed the lowest temperatures (23°C to 25°C). This type of research allows addressing the LULC effects on LST, as well as prove its importance in improving land use planning systems.

Abstract:The differential synthetic aperture radar interferometry (DInSAR) technique is applied to the ALOS PALSAR data to observe surface displacement in Kayangan catchment area, Yogyakarta, Indonesia. Change detection is implemented to extract information on several landslides that occurred in the region in a time span between 2007 and 2009. The advanced DInSAR processing of images (2007)(2008)(2009)) has shown slight surface movements before the landslide events. These results are compared and validated with available GPS measurements. Our analysis reveals that Kayangan catchment area exhibits clear indication of surface displacements varying from 5.2 to 57.9 cm/year. The occurence of landslides has been analyzed in relation to the following terrain parameters; elevation, slope, distance to stream network, geology, landuse, and distance from road. Among these factors, it is found that 18% of landslides occur in elevation >100 m, 56% in slope 30-40°, 34% in <25 m distance to stream networks, 100% in kebobutak formation, 67% in mix garden of land use types, and 100% in <25 m distance from road. The landuse is the most influential factor, since there are only four types of landuse that can lead to landslide occurrence, i.e., mixed garden, dryland agriculture, bush, and settlement. The analysis of land deformation is promising for assessing acceleration caused by a destabilizing anthropogenic change, and relationship between seasonal precipitation and deformation variability.

The X-band synthetic aperture radar (SAR) onboard the TerraSAR-X satellite is useful for land subsidence detection and monitoring, since the sensor provides high spatial resolution data with a relatively short repetition cycle of 11 days. Jakarta is one of the largest cities in the world with population more 10 million as of 2011. The area has been suffering from significant effects of land subsidence that causes damages to public facilities, buildings, and other public and private properties. In this work, we exploit the capability of TerraSAR-X for detecting land subsidence in Jakarta during a four year period between 2010 and 2013 using differential interferometry SAR (DInSAR) technique. Our analysis reveals that two northern areas in the city exhibit clear indications of land subsidence varying from 8.5 to 17.5 cm/year, mostly caused by intensive human activities in addition to the vulnerability due to geological structures of these areas.

The population of Jakarta Special Province continues to grow, most significantly after the 1960s, causing an increase of population density. The expanding population has been stimulating the development of the province, reflecting the rising demand of the population including land. Eventually, it influences the urbanization process and affects the dynamic of land utilization in Jakarta. This research is aimed to understand the correlation between urbanization phenomena and landuse change in Jakarta Special Province. The research implements the utilization of statistics, topographic map, and remote sensing data as well. The satellite image (Sentinel-2 Imagery) was used to determine urban area and non urban area which then describes the land urbanization level. During 3 years, Jakarta has experienced landuse change especially in residential area, green open space, and industrial area. In 2017, the urban area covered 76.89 percent of Jakarta’s land and the coverage increased into 78.35 percent in 2019. Land urbanization level raised from 77.16 percent into 78.03 percent which means that roughly 77 percent to 78 percent of land in Jakarta has been urbanized.