), we overlaid the base maps with satellite images as described in

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We visited every single village twice through 2013 as well as the digitized maps were offered for the villagers throughout the second take a look at.buy NSC 697286 Remote sensing analysisFor our study, remote sensing analysis was conducted entirely as a desk study in an effort to emulate how Indonesian government agencies conduct RS for REDD+ MRV.PLOS A single | DOI:ten.1371/journal.pone.0166592 December title= s13567-015-0162-7 15,6 /Participatory Mapping and Remote Sensing for MRVAs the satellite pictures covered larger areas than the study location we had to cut down the size in the image to cover only the area of interest. For each LC type the FGD participants had been able to describe the dominant vegetation, employing nearby name(s), and usually the Indonesian vernacular name(s). After the LC map was completed, a second FGD (using the very same respondents) for the LU map was performed through which facts on each land use was collected (e.g. what sort of crops are planted in the gardens, do they hunt in all LC forms). The subsequent step was a field check. Making use of the Worldwide Positioning System (GPS), collectively with two or more villagers who had attended the FGD, major topographical functions (rivers, hills), infrastructure (roads, settlements) and LU/LC types were geo-located. In total, 534 GPS points have been collected from all sites: 34 GPS points in Papua (participatory maps had already been made and geo-referenced from a previous project: COLUP [26]); 101 for Central-Java and 399 GPS points in West-Kalimantan. When the present LC and LU maps have been completed, maps describing historical LU/LC have been generated applying FGDs. The final step of your participatory mapping method was to clean the draft maps and ask for final amendments from villagers in the course of a final FGD. For this goal we displayed the temporary maps in public locations for all villagers to assessment, give their comments and verify the validity of your maps. We also asked for authorization to work with these maps for our investigation purposes throughout a neighborhood meeting. We visited every village twice during 2013 along with the digitized maps have been given for the villagers through the second visit.Remote sensing analysisFor our study, remote sensing analysis was carried out totally as a desk study as a way to emulate how Indonesian government agencies conduct RS for REDD+ MRV.PLOS 1 | DOI:ten.1371/journal.pone.0166592 December title= s13567-015-0162-7 15,6 /Participatory Mapping and Remote Sensing for MRVAs the satellite pictures covered bigger locations than the study place we had to minimize the size with the image to cover only the area of interest. For this we applied a vector file, which defines the title= 00333549131282S104 boundaries, was made use of to subset all satellite photos. To produce the RS maps, a pre-processing of Landsat and SPOT information was conducted to cut down atmospheric disturbances. To produce cloud totally free coverage data, we filtered haze, clouds and shadows making use of ERDAS IMAGINE12011 application (Leica Geo systems, Atlanta, Georgia, USA). The widely title= j.bone.2015.06.008 utilized dark object subtraction (DOS) technique of atmospheric correction was applied to right the atmospheric effects triggered by atmospheric scattering [27].

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