Mapping and monitoring deforestation and forest degradation in Sumatra (Indonesia) using Landsat time series data sets from 1990 to 2010

Margono, Belinda Arunarwati; Turubanova, Svetlana; Zhuravleva, Ilona; Potapov, Peter; Tyukavina, Alexandra; Baccini, Alessandro; Goetz, Scott J.; Hansen, Matthew C.

doi:10.1088/1748-9326/7/3/034010

Cited by 342 publications

(289 citation statements)

References 41 publications

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“…As methods of supervised and unsupervised classification are currently widely used to detect forest disturbances resulting from fires, logging and other causes (Castellana et al 2007;Comber et al 2012;Margono et al 2012), for further comparison, we also conducted an mapping of burned forest area using a supervised classification. Here, the Maximum Likelihood Classifier (MLC) (Kavzoglu & Reis 2008) was used to classify the TM surface reflectance images.…”

Section: Supervised Classificationmentioning

confidence: 99%

“…Using remote sensing data, various algorithms of supervised and unsupervised classification have been adopted to detect forest disturbances resulting from fires, logging and other causes (Comber et al 2012;Margono et al 2012). For serious stand-replacing forest disturbances, a much simpler method of threshold segmentation has also performed well, and been proven to be effective in the mapping of burned forest areas.…”

Section: Introductionmentioning

confidence: 99%

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Mapping a burned forest area from Landsat TM data by multiple methods

Chen

Moriya

Sakai

et al. 2014

Geomatics, Natural Hazards and Risk

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Forest fire is one of the dominant disturbances in boreal forests. It is the primary process responsible for organizing the physical and biological attributes of the boreal biome, shaping landscape diversity and influencing biogeochemical cycles. The Greater Hinggan Mountain of China is rich in forest resources while suffers from a high incidence of forest fires simultaneously. In this study, focusing on the most serious forest fire in the history of P. R. China which occurred in this region, we made use of two Landsat-5 TM (Thematic Mapper) images, and proposed to map the overall burned area and burned forest area by multiple methods. During the mapping, the fire perimeter, as well as rivers, roads and urban areas were first extracted and masked visually, and then four indices of Normalized Difference Vegetation Index, Enhanced Vegetation Index, Vegetation Fractional Cover and Disturbance Index were calculated. For each index, the optimal threshold for separating burned from unburned forest area was determined using their histograms. For comparison, threshold segmentation using single-band reflectance was performed, in addition to a Maximum Likelihood Classifier (MLC) based supervised classification of all features and forest area alone; their accuracies were also evaluated and analysed. Among all the methods compared here, mapping by EVI threshold segmentation proved to be optimal by the comparisons of overall accuracy (99.78%) and the kappa coefficient (0.9946). Finally, the calculated burned area and burned forest area were compared with the values from official statistics. Compared with the classical methods used to report official statistics on burned areas, the remote sensing-based mapping is more objective and efficient, less labour-and time-consuming, and more repeatable.

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Section: Supervised Classificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mapping a burned forest area from Landsat TM data by multiple methods

Chen

Moriya

Sakai

et al. 2014

Geomatics, Natural Hazards and Risk

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“…While oil palm has caused an economic boom in the producing regions, it has also attracted criticism on environmental and social grounds. Oil palm expansion is often held responsible for deforestation, biodiversity loss, increased greenhouse gas emissions, and conflicts over land rights between oil palm companies and local communities (Curran et al, 2004;Fitzherbert et al, 2008;Koh and Wilcove, 2008;Rist et al, 2010;Wilcove and Koh, 2010;Feintrenie et al 2010a;Koh et al, 2011;Wicke et al, 2011;Carlson et al, 2012;Margono et al, 2012;Obidzinski et al, 2013;Dewi et al, 2013;Wheeler et al, 2013). However, oil palm is not only grown on large-scale plantations.…”

Section: Introductionmentioning

confidence: 99%

Oil palm boom and land-use dynamics in Indonesia: The role of policies and socioeconomic factors

2015

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. We investigate land-use dynamics in Jambi, Sumatra, one of the hotspots of Indonesia's recent oil palm boom. Data from a structured village survey are used to analyze the role of socioecono mic and policy factors. Oil palm is partly grown on large plantations, but smallholders are also involved significantly. We find that, in spite of significant oil palm expansion, rubber remains the dominant crop. Most of the oil palm growth takes place on previous fallow and rubber land. Oil palm has not been a major driver of deforestation. Much of the forest in Jambi was cleared more than 20 years ago, and rubber was an established cash crop long before the oil palm boom started. However, oil palm growth occurs in locations with ongoing logging activities, so indirect effects on deforestation are likely. The government's transmigration program of the 1980s and 1990s was instrumental for the start and spread of oil palm in Jambi. Some autochthonous villages have adopted oil palm, but adoption started later compared to migrants from Java, and it happens at a slower pace. While the transmigration program benefited many of the participating families, it has contributed to the risk of unequal socioeconomic developments in Jambi. Terms of use: Documents in

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“…Indonesia has experienced massive land conversion from lowland forests to intensive commercial agriculture (Rudel et al 2009;van Noordwijk et al 2012;Villamor et al under review), and reports the second highest rate of deforestation (measured using an untouched natural forest definition) among tropical countries (Margono et al 2012). This expansion generally leads to a decrease in terrestrial carbon stocks, consequently causing higher carbon emissions, along with a loss of biodiversity and changes to hydrological functions.…”

Section: Introductionmentioning

confidence: 99%

Gender influences decisions to change land use practices in the tropical forest margins of Jambi, Indonesia

Villamor

Amaruzaman

Noordwijk

2013

Mitig Adapt Strateg Glob Change

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This study explores the role of gender as a factor in decision making about alternative land use options and in responses to new investment opportunities, which has received little attention to date. An observational study to determine the different factors affecting male and female decisions to change land use at the individual level in a forest margin landscape in Jambi (Sumatra, Indonesia) was combined with a set of role playing games (RPGs) designed to assess participant responses in a simulated social setting of women-only and men-only groups. The RPG included simulated agents offering new opportunities to convert or conserve agroforest. In the study area, rubber (Hevea braziliensis) agroforests that support high biodiversity and carbon storage are giving way to monoculture rubber and oil palm (Elaeis guineensis) plantations. When women from both the upland and lowland villages played the RPGs, external investors proposing logging or oil palm conversion were approached very positively and the resulting land use change was more dynamic and extensive than in the equivalent men-only groups. Consequently, women outperformed men in achieving income targets. In lowland areas gender is strongly associated with land use change, while in the uplands the level of conservation awareness plays a more crucial role in the maintenance of rubber agroforests. Based on the data, and contrary to expectations and gender stereotypes, it is expected that the greater involvement of women in landscape level decision making will increase emissions from deforestation and forest degradation in the area, posing further challenges to efforts to reduce such emissions.

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Mapping and monitoring deforestation and forest degradation in Sumatra (Indonesia) using Landsat time series data sets from 1990 to 2010

Cited by 342 publications

References 41 publications

Mapping a burned forest area from Landsat TM data by multiple methods

Mapping a burned forest area from Landsat TM data by multiple methods

Oil palm boom and land-use dynamics in Indonesia: The role of policies and socioeconomic factors

Gender influences decisions to change land use practices in the tropical forest margins of Jambi, Indonesia

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