Fires associated with land use conversion activities such as agricultural expansion, palm and pulp plantations, peat land alteration, and industrial deforestation are significant in Indonesia (Jerrod & Alex, 2015). Fires season in 2015 is one of the worst incident in Indonesia since 1997, it made Indonesia at the second position as an emitter country, at least 22 days in September 2015, and generated more than the daily average emission of U.S. economic activity. A study from the National Development Planning Agency (Bappenas) and Asian Development Bank (ADB) estimated that the amount of land affected by fires reaches 9.75 million hectares. It caused losses reached US$.4.861 or equivalent to IDR711 trillion or even more based on disruption of economic activities, transportation problems, and health problems. Head of Data Information and Public Relations of National Disaster Management Agency (BNPB), Sutopo Purwo Nugroho, said the economic impact of smog disasters occurring in several provinces in Indonesia in 2015 could exceed 20 trillion per province. The most widespread forest fire area occurred in South Sumatra Province. BNPB released that during 2015 in South Sumatera Province has 35.008 hotspots and the burnt area is 641.964 Ha. The most affected area is in Ogan Komering Ilir Regency. Landsat 8 OLI TIRS has a 30-meter spatial resolution for each band except TIRS band and panchromatic band (USGS, 2016). TIRS band has a 100-meter spatial resolution but are resampled to 30-meter that can be used to identify burned scars area. By using SWIR bands (TM bands 5 and 7 in Landsat 5 and 7 systems) as a NBR (Normalized burn ratio) composite, can be used to detecting and mapping burnt area. TIRS algorithm which was used to detect fire will be seen red and SWIR which was used to detect water stress in vegetation and burned vegetation will be seen green, both of them will become darker when burn happened. This method modifying dNBR (pre-NBR – post-NBR) composite, which only can be used in oil palm plantations area that has same commodities, so can be used in various type of landuse especially the area that has plantation adjoin with forest area.
The Medical Geographic Information System (Medical GIS) application during the COVID-19 pandemic crisis has become influential in communicating disease surveillance for health practitioners and society. The Johns Hopkins University has extensively used a well-known Web-GIS dashboard to track the COVID-19 cases since January 22 and illustrates the location and number of confirmed COVID-19 cases. Unfortunately, the dashboard particularly for Indonesian cases is only represented by one point (dot map) placed on the centroid of the Indonesian archipelago. Further research can fill the gap in downscaling the geographical location data of COVID-19 cases to the cities or even the village level in Indonesia and communicating the susceptible zoning to society. We uplift the point COVID-19 cases data to susceptible zoning gathered from official COVID-19 government websites, process it using Geographic Information System analysis, and communicate it to society through a Web-GIS dashboard. Five datasets, i.e., population data, administrative boundary, Landsat 8 OLI satellite imagery, COVID-19 cases geographic location, transportation infrastructure, and crowded places location, are used to analyze the susceptible area. Due to different standard data sources from each province in Indonesia, we only present provinces in Java Island with complete COVID-19 cases data on villages-scale. The technical challenges and future improvement in developing the national dashboard of Web-GIS-based susceptibility dashboard are also discussed. The dashboard information would further add some essential information for society to explore their zone status in adapting to the "New Normal" using the SICOVID-19 dashboard from their computers or gadgets during the pandemic crisis.
Experts from various perspectives have widely reviewed the patterns, processes, reasons, and impacts of paddy field conversion. However, most of these reviews tend to understand paddy fields from the physical-material dimension. By using the perspective of contemporary geography, this paper provides a critical conceptual overview of the conversion of paddy fields through the elaboration of human-nature dialectic as a central theme in the discipline of geography. The dialectic also contains identity, spatial awareness, and spatial-symbolic order issues that affect the existence of farmers and their paddy fields. This critical review results in the argument that the relationship between farmers and paddy fields represents a spatial-symbolic order that contains values, enthusiasm, identity, and living traditions. The identity and existence of farmers are part of the existence of paddy fields. Paddy fields have become part of the minds and consciousness of the farmers. The conversion of paddy fields will reduce the eco-cultural relations in this order and replace it with a capitalistic system.Keywords: contemporary geography, human-nature dialectic, paddy field conversion, spatial-symbolic order, sustainable agriculture
Today big cities become the first aim for people who wants to get a better condition for their economy and half of the population in the world lives in big cities (United Nation Population Fund, 2007). Climate change is a condition where the atmosphere in unstable. It can happen in places that has high population. There are some data to support this research which are primary and secondary data. But data processing, including the processing, statistical and tabular data, and also spatial data processing. The process to find dry area is delineation form based on PDAM pipe and based on types of settlement. So, there are two types of adaptation based on area which are very dry and not dry. The adaptation pattern in regular and irregular settlement at very dry area are minimize the amount of water usage, and hold water. On the other hand, the pattern of adaptation in regular settlement at not dry area are minimize the amount of water usage and also adding bottled water for dish and drink.
Illegal settlements are a form of increasing demand for settlements in the capital city of Jakarta triggered d by urbanization. One of them is in Waduk Pluit, North Jakarta. This situation forced government to hold the normalization and relocation towards Rusunawa Muara Baru in 2015 to restore the function of the reservoir and restrain the urban settlement infrastructure. This research is a qualitative study using a humanistic geographical approach as its foundation. This research aims to determine changes in their residential characteristics and their basic needs as well as to identify the new form of adaptations in their livelihood activities after relocation. The results showed that residents who have relocated value the positive physical environment in their new housing but also increase in their basic needs, mainly due to rental fees. This condition causes residents to adapt by having additional jobs. Some residents who didn’t have additional jobs, work in the services sector. Otherwise, some residents maintain it with same or different types of business. The business space location determines the type of business, this causes some of them to change the type of business based on market conditions around their business space. They use public space as additional jobs’ location.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.