Dinamika Cadangan Karbon akibat Perubahan Tutupan Lahan menjadi Lahan Permukiman di Kota Padang Sumatera Barat

The purpose of this study was to analyse the dynamics of carbon stocks changes from land cover into land settlement in the Padang City, West Sumatra. Method to formulate the change of land cover into land settlement in the Padang City is the analysis of Landsat Imagery 5+TM 1988, Landsat 7+ETM Image of 1998 and Landsat 7+ETM Image of 2008. Stratified Sampling Technique was Purpose Composite plot refers to the technique, but in this study carried out modification to the size of the plot which is then converted to the extend of each hectare of land cover. Estimating tree biomass using the equation according Kattering allometric, (2001). The result of the research conducted found that the dynamics of carbon stocks always decline from 1988, 1998 and 2008. This is caused by a reduction in forest area, shrubs, gardens, and fields are consistently due to the increased amount of land used for settlement.

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Estimate of Changes in Carbon Stocks Based on Land Cover Changes in the Leuser Ecosystem Area (LEA) Indonesia

Forum Geografi ◽

10.23917/forgeo.v29i2.1487 ◽

2016 ◽

Vol 29 (2) ◽

pp. 188 ◽

Cited By ~ 1

Author(s):

Dedi Hermon

Keyword(s):

Land Cover ◽

Spatial Model ◽

Sampling Technique ◽

Allometric Equation ◽

Carbon Stocks ◽

Survey Method ◽

Land Cover Changes ◽

Gis Analysis ◽

Tree Biomass ◽

Landsat 7

This research aimed at designing the model of land cover changes in 1990 and 2014, and estimating carbon stock changes in each land cover in Leuser Ecosystem Area (LEA). The spatial model of land cover changes was analyzed by interpreting Landsat 5 TM imagery in 1990 and Landsat 7 ETM+ imagery in 2014 with ERDAS 9.1 and Land Change Modeller (LCM) in Idrisi TerrSet v.18. The analysis of land area changes (ha) in each land cover from 1990 to 2014 used ERDAS 9.1 with tools Interpreter (GIS Analysis-Matrix). Systematic survey method was employed in order to analyze carbon stocks. The sampling technique was stratified purposive composite sampling which used plot technique. The estimate of tree biomass used allometric equation. The estimate of carbon stocks in each land cover in 1990 was measured based on the total of carbon stocks in 2014 which was conversed with the areas of each land cover in 1990. Spatial model of land cover changes in LEA in 1990-2014 showed the changes of area in each land cover which caused the changes of carbon stocks in each land cover as well.

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LANDCOVER CHANGES IN COASTAL BUNGUS REGION OF KABUNG BAY, WEST SUMATRA FROM 200-2013 BASED ON GEOGRAPHIC INFORMATION SYSTEM APPLICATION

Jurnal Ilmu dan Teknologi Kelautan Tropis ◽

10.29244/jitkt.v6i2.9007 ◽

2015 ◽

Vol 6 (2) ◽

Author(s):

Yulius Yulius ◽

T A Tanto ◽

M Ramdhan ◽

A Putra ◽

H L Salim

Keyword(s):

Land Use ◽

Land Cover ◽

Landsat Imagery ◽

Land Use Changes ◽

Population Increase ◽

Landsat 8 ◽

West Sumatra ◽

Landsat 7 ◽

Southern City ◽

Growing Region

ABSTRACT Bungus district of Kabung Bay is a growing region located at coastal zone of southern city of Padang, west sumatra. As a growing region, the Bungus district brings some impacts on population increase and degradation of environment quality. Therefore, it is needed an effort to identify land use changes and the distribution of land use in this region from the year of 2003 until 2013. This research used landsat 7 imagery in 2003 and landsat 8 imagery in 2013. The data were analysed descriptively using geographical informastion system. The result showd that (1) swamp land cover experienced the smallest land use change between 2003 until 2013 (0.02 ha/yr), meanwhile forest land use had the biggest change of about 224.8 ha/yr. The biggest addition of land cover belong to settlement area about 47.59 hectare, and the other hand occur on bush about -31.68 hectare. Keywords: Bungus district, landcover changes, Landsat imagery, GIS

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LANDCOVER CHANGES IN COASTAL BUNGUS REGION OF KABUNG BAY, WEST SUMATRA FROM 200-2013 BASED ON GEOGRAPHIC INFORMATION SYSTEM APPLICATION

Jurnal Ilmu dan Teknologi Kelautan Tropis ◽

10.28930/jitkt.v6i2.9007 ◽

2015 ◽

Vol 6 (2) ◽

Author(s):

Yulius Yulius ◽

T A Tanto ◽

M Ramdhan ◽

A Putra ◽

H L Salim

Keyword(s):

Land Use ◽

Land Cover ◽

Landsat Imagery ◽

Landsat 8 ◽

Environment Quality ◽

Geographic Information System Application ◽

West Sumatra ◽

Result Show ◽

Landsat 7 ◽

Growing Region

ABSTRACT Bungus district of Kabung Bay is a growing region located at coastal zone of southern city of Padang, west sumatra. As a growing region, the Bungus district brings some impacts on population increase and degradation of environment quality. Therefore, it is needed an effort to identify land use changes and the distribution of land use in this region from the year of 2003 until 2013. This research used landsat 7 imagery in 2003 and landsat 8 imagery in 2013. The data were analysed descriptively using geographical informastion system. The result showd that (1) swamp land cover experienced the smallest land use change between 2003 until 2013 (0.02 ha/yr), meanwhile forest land use had the biggest change of about 224.8 ha/yr. The biggest addition of land cover belong to settlement area about 47.59 hectare, and the other hand occur on bush about -31.68 hectare. Keywords: Bungus district, landcover changes, Landsat imagery, GIS

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ANALISIS PERUBAHAN CADANGAN KARBON DI KAWASAN GUNUNG PADANG KOTA PADANG

JURNAL BUANA ◽

10.24036/student.v1i1.50 ◽

2017 ◽

Vol 1 (1) ◽

pp. 94

Author(s):

Rina Suksesi ◽

Dedi Hermon ◽

Endah Purwaningsih

Keyword(s):

Land Cover ◽

Supervised Classification ◽

Sampling Method ◽

Forest Cover ◽

Sampling Technique ◽

Residential Area ◽

Carbon Stocks ◽

Landsat 8 ◽

Landsat 8 Oli ◽

Quantitative Descriptive

This study aims to determine (1) changes in land cover in the Mount Padang Region in 1996, 2006 and 2016, (2) changes in carbon stocks as a result of changes in land cover in the Mount Padang Region of Padang City. The type of research is quantitative descriptive. Changes in land cover isanalyzed based on Landsat TM 5 of 1996 and 2006, as well as Landsat 8 OLI of 2016, using ENVI 4.5 and ArcGIS 10.1 and supervised classification method. Value of carbon stocks is obtained from the equation C = B ×% C (0.47), by predicting biomass on each type of carbon pool using allometric equations, which D2,62 ρ B = 0.11, B = exp {-2.134 + 2.530 × ln (D)}, B = 0.281 D2,06, and B = 0.030 D2,13, where D (diameter at breast height of trees, cm) and ρ (wood density). The sampling technique used is stratified random sampling method which refers to the technique of each plot on land cover classes which are then converted to thehectares area. The results of the analysis show that (1) the land cover in the Mount Padang Region of Padang City in 1996 has forest area of 744.23 Ha (92.6%), mixed garden area of 39.44 Ha (4.9%), shrubs of 17, 92 Ha (2.2%), and the settlement area of 2.35 Ha (0.3%). 2006 forest cover an area of 696.84 Ha (87%), mixed garden area of 18.84 Ha (2%), shrubs covering 37.55 Ha (5%), and residential area of 50.71 ha (6%). 2016 forest cover an area of 533.50 Ha (66%), mixed garden covering an area of 69.14 Ha (9%),shrubs covering 119.81 Ha (15%), and residential area of 81.49 Ha (10%). (2) the carbon stock in 1996 amounted to 495,800.03 tons, in 2006 a number of 458,165.73 tons, and in 2016 a number of 369,223.00 tons. Over the last 20 years, as a result of land cover changes in carbon stocks in Padang Mountain Region has been reduced as much as 126,577.03 tons.

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Application of Remote Sensing and Developed Allometric Models for Estimating Wood Carbon Stocks in a North-Western Miombo Woodland Landscape of Tanzania

Journal of Ecosystems ◽

10.1155/2014/714734 ◽

2014 ◽

Vol 2014 ◽

pp. 1-8

Author(s):

Geofrey Soka ◽

Nanjiva Nzunda

Keyword(s):

Carbon Sink ◽

Landsat Imagery ◽

Carbon Stocks ◽

Miombo Woodlands ◽

Landsat Images ◽

Allometric Models ◽

Ecosystem Carbon ◽

Gis Data ◽

Landsat 7 ◽

Ecosystem Carbon Stocks

Quantifying ecosystem carbon stocks is vital for understanding the relationship between changes in land use and cover (LULC) and carbon emissions; however, few studies have documented the impacts of carbon cycling on Miombo ecosystems. Here, we estimate the amounts of wood carbon which is stored and lost as a result of LULC changes in Kagoma Forest Reserve (KFR) for the periods between 1988 and 2010 using GIS data, Landsat imagery, and field observations. The land cover was captured on the basis of Landsat 5 TM and Landsat 7 ETM. The amounts of wood carbon stored and lost were estimated based on four previously developed allometric models. Spatial analysis of the Landsat images shows that in the year 1988, woodlands dominated the area by covering 32.66% whereas in the year 2010 the woodlands covered only 7.34% of the total area. The findings of the current study reveal that KFR had undergone notable changes in terms of LULC for the period of 1988–2010. It was estimated that the woodlands in the KFR lost an average of 4409.79 t Cyr-1. In this study, the amount of carbon stocks stored was estimated to be 21457.02 tonnes in tree stem biomass based on the area (1226.12 ha) that was covered by woodlands. We estimated that an average of 17.79 t Ch-1 was stored in the Miombo woodlands based on the four models. The efforts to ensure sustainable management of the Miombo ecosystem can contribute to the creation of a considerable carbon sink.

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Kemampuan Agroforestri Berbasis Kopi (Coffea arabica) dalam Menyimpan Cadangan Karbon

Paspalum: Jurnal Ilmiah Pertanian ◽

10.35138/paspalum.v7i1.109 ◽

2019 ◽

Vol 7 (1) ◽

pp. 34

Author(s):

Fahriza Luth ◽

Hadi Setiyono

Keyword(s):

Coffea Arabica ◽

Carbon Stock ◽

Carbon Stocks ◽

Natural Forest ◽

Forest Area ◽

Forest Composition ◽

Syzygium Aromaticum ◽

Tree Biomass ◽

Laboratory Methods ◽

Comparison Data

Each type of forest ecosystem and the species in it have different abilities to absorb CO2 and produce biomass. Coffee-based agroforestry is thought to be able to increase the ability of forests to store carbon as a result of increasing species composition and density of plants in these forest areas. This study aims to determine the composition of plants and carbon stocks stored in coffee-based agroforestry forests in LMDH Paniis RPH Rancakalong BKPH East Manglayang KPH Sumedang Perum Perhutani Regional Division West Java and Banten. This study uses survey and laboratory methods. Data collection is done by collecting data directly at the research location, which is in the agroforestry forest area and natural forest area (as a comparison). Data obtained through observations in the field and laboratory are in the form of tree names, wood density, tree biomass and carbon stocks from biomass. The result shows that the agroforestry forest composition at LMDH Paniis RPH Rancakalong BKPH East Manglayang KPH Sumedang within 17,14 ha consists of Pine (Pinus mercusii), Big-leaf Mahogany (Swietenia macrophylla), Clove (Syzygium aromaticum) dan Coffee (Coffea arabica). The carbon stock is 1.869,73 kg/ha in agroforestry forest, 2.618,32 kg/ha in primary natural forest, and 1.460,91 kg/ha in secondary natural forest. Agroforestry forest has more carbon stock than the secondary natural forest, but agroforestry forest has less carbon stock than primary natural forest.

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Satellite-based time series land cover and change information to map forest area consistent with national and international reporting requirements

Forestry An International Journal of Forest Research ◽

10.1093/forestry/cpaa006 ◽

2020 ◽

Vol 93 (3) ◽

pp. 331-343 ◽

Cited By ~ 2

Author(s):

Michael A Wulder ◽

Txomin Hermosilla ◽

Graham Stinson ◽

François A Gougeon ◽

Joanne C White ◽

...

Keyword(s):

Time Series ◽

Land Cover ◽

Forest Cover ◽

Landsat Imagery ◽

Forest Area ◽

Tree Cover ◽

Minimum Size ◽

Spatially Explicit ◽

Reference Source ◽

International Reporting

Abstract Forests are dynamic ecosystems, subject to both natural and anthropogenic agents of change. Wildfire, harvesting and other human activities alter the tree-covered area present in forests. From national and international reporting perspectives, forests include areas currently treed, as well as those disturbed forest areas that are not currently treed but will be, given time for regeneration and the advancement of natural successional processes. As a consequence, forest area can be depicted at a particular point in time, informed by a retrospective temporal context. Using time series of Landsat imagery, annual land cover maps can be generated that are informed by knowledge of past disturbance history (such as wildfire and harvesting). In this research, we use over three decades of annual land cover data generated from Landsat time series to generate a spatially explicit estimate of the forest area of Canada in 2010. We demonstrate how land cover and disturbance information can be combined to map the area of ‘forest’, as defined by the Food and Agricultural Organization of the United Nations (FAO), within Canada’s 650 Mha of forested ecozones. Following this approach, we estimated Canada’s total forest area in 2010 to be 354.5 Mha. This estimate includes 324.5 Mha of current forest cover in 2010, plus an additional 33.2 Mha (or 9.4 per cent) of temporally informed forest area where tree cover had been temporarily lost due to fire or harvest, less 3.3 Mha that were removed to meet a definitional minimum size (0.5 ha) for contiguous forest area. Using Canada’s National Forest Inventory (NFI) as an independent reference source, the spatial agreement between the two estimates of forest area was ~84 per cent overall. Aspatially, the total area of the Landsat-derived estimate of 2010 forest area and the NFI baseline estimates differed by only 3 per cent, with notable regional differences in the wetland-dominated Hudson Plains Ecozone. Satellite-derived time series land cover and change information enable spatially explicit depictions of forest area (distinct from representations of forest cover) in a robust and transparent fashion, producing information of value to science, management and reporting information needs.

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Carbon Stocks Estimate of Padang City West Sumatra Province

Sumatra Journal of Disaster Geography and Geography Education ◽

10.24036/sjdgge.v1i2.96 ◽

2017 ◽

Vol 1 (2) ◽

pp. 118

Author(s):

Triyatno Triyatno

Keyword(s):

Climate Change ◽

Land Cover ◽

Fundamental Problem ◽

Carbon Stocks ◽

Temperature Data ◽

Land Cover Changes ◽

Low Carbon ◽

Growth Increase ◽

West Sumatra ◽

Open Land

The most fundamental problem in this research is land cover change into settlement area and open land that occurred are high in Padang City, so the forest has reduced. If cover land of forest reduced, while population, industry and transportation growth increase the environmental gap due to plants absorbing emissions released by human activity is reduced. As a result the surface temperature becomes warmer. If this is left continuously, the hydrometeorology disaster will threaten Padang City. In general, this research aims to determine how the phenomenon of climate change that occurred in Padang City based on the estimation of carbon stocks in accordance with land cover. Analysis of the occurrence of climate change can be known based on the tendency of temperature data and rainfall data contained in Padang City. In addition, climate change can be analyzed based on changes in land cover and carbon stocks. Based on the result, it is known that Padang City since 1989 experienced considerable changes, especially changes from forest to settlements and mixed land. That land cover changes, indirectly cause the carbon stocks of Padang City also decreased. This is because other land cover rather than forests have low carbon stocks, especially settlements and open land that do not have carbon stock. Carbon stocks reduced, it is assumed to cause increasing air temperature and reducing rainfall.

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