Publikasi

@conference{Suyamto2020,

title = {Assessing the Agreement between Deforestation Maps of Kalimantan from Various Sources},

author = {Desi Suyamto and Aryo Adhi Condro and Lilik B Prasetyo and Arif K Wijayanto},

url = {https://iopscience.iop.org/article/10.1088/1755-1315/556/1/012011/pdf},

doi = {10.1088/1755-1315/556/1/012011},

year  = {2020},

date = {2020-09-22},

volume = {556},

number = {1},

publisher = {IOP Conf. Ser.: Earth Environ. Sci},

abstract = {Due to its multiscale impacts, deforestation of tropical rainforests had become a global concern. A number of stakeholders comprising government, research agencies, and NGOs; ranging from local to international levels; have developed their own forest monitoring systems for detecting forest loss. However, discrepancies on deforestation reports from various producers often trigger public debates; which mostly degenerate the productivity of efforts in providing salient, legitimate and credible data on deforestation. Thus, we should reconcile the dispute by acknowledging the deforestation data from all sources. This study assessed the agreement between deforestation maps from various sources. In this case, deforestation maps of Kalimantan within 2009-2013 period from 4 sources were used; i.e. deforestation maps from European Space Agency - Climate Change Initiative (ESA-CCI), Forest Watch Indonesia (FWI), Global Forest Watch (GFW), and Indonesian Ministry of Environment and Forestry (MoEF). We found that the inter-rater agreement between deforestation maps were relatively low, as indicated by Cohen's kappa (κ), ranging from slight (κ=0.18 between ESA-CCI and GFW) to fair (0.24 ≤ κ ≤ 0.35 for other pairs of sources); due to omission/commission disagreements (47.82% to 87.58%). It suggests that in order to reconcile the dispute, we should remove the omission disagreement by forming the union of deforestation maps. The results from further analyses proved that the union of deforestation maps increased the agreement to moderate (κ=0.44 between union map and FWI) and even substantial (κ=0.79 between union map and GFW). Findings of this study should support the implementation of one map policy.},

keywords = {deforestation},

pubstate = {published},

tppubtype = {conference}

}

@conference{Sudhana2020,

title = {Detecting mangrove deforestation using multi land use land cover change datasets: a comparative analysis in Southeast Asia},

author = {Sonny A Sudhana and Anjar D Sakti and Luri N Syahid and Lilik B Prasetyo and Bambang Irawan and Muhammad Kamal and Ketut Wikantika},

url = {https://iopscience.iop.org/article/10.1088/1755-1315/500/1/012014/meta},

doi = {10.1088/1755-1315/500/1/012014},

year  = {2020},

date = {2020-06-01},

volume = {500},

publisher = {IOP Conf. Ser.: Earth Environ. Sci},

abstract = {Mangrove forest grows on tropical coastal areas and has an ecological role for its surrounding environment. Mangrove forest protects the coast from large waves and becomes a habitat for various marine fauna. It stores the highest densities of carbon among any other ecosystem globally. In Southeast Asia, Mangrove forest is highly biodiverse and contributes to the sustainability of the ecosystem. However, based on previous studies, mangrove forests are experiencing deforestation due to high demands of commodities and land use. In this study, we analyzed changes of land cover in Southeast Asia using several global land cover products produced between 2001 and 2012 and their correlation with mangrove deforestation based on Mangrove Forest Watch (CGMFC-21) data. LULC data products applied in this study were ESA CCI LC, MODIS LC, GlobCover. The analysis was carried out by calculating the rate of increase in mangrove deforestation and comparing it with changes in land cover that replaced the mangrove area temporally. The results of this study were land cover classes that replaced mangrove forest areas in the study period. Based on the results it could be concluded that the methods and products used influence the results. There are many sources of data products that might be used for future research, with other methods that are better so that they provide space for future research and development. Our study can be used as a consideration to implement policies that conserve mangrove forest across Southeast Asia.},

keywords = {deforestation, land cover change, mangrove},

pubstate = {published},

tppubtype = {conference}

}