scholarly journals Mapping Above-Ground Carbon Stock of Secondary Peat Swamp Forest Using Forest Canopy Density Model Landsat 8 OLI-TIRS: A Case Study in Central Kalimantan Indonesia

2021 ◽  
Vol 19 (2) ◽  
pp. 165-175
Author(s):  
Raden Mas Sukarna ◽  
◽  
Cakra Birawa ◽  
Ajun Junaedi ◽  
◽  
...  
Keyword(s):  
Carbon Stock ◽  
Forest Canopy ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Swamp Forest ◽  
Canopy Density ◽  
Peat Swamp Forest ◽  
Central Kalimantan ◽  
Peat Swamp ◽  
Forest Canopy Density

Mapping the above-ground carbon potential by using a non-destructive method has been a serious challenge for researchers in the effort to improve the performance of natural forest management in Indonesia, particularly in the ex-Mega Rice Project (MRP) area in Central Kalimantan Province. Nevertheless, the rapid and dynamic changes in secondary peat swamp forests are currently mapped effectively with the remote sensing technology using the Forest Canopy Density (FCD) model. FCD analysis as done by integrating vegetation index, soil index, temperature index and shadow index of Landsat 8 OLI images. The result was an FCD class map. In each class, parameter measurements were established for seedling, sapling, poles and tree stages. Above-ground carbon stock was calculated using three allometric equations. The results revealed that the values of carbon stock in ±16,147.26 ha dense secondary peat swamp forest, ±1,509.66 ha moderately dense scrub swamp forest, and ±632.07 ha sparse scrub swamp forest were, respectively, 79.28-122.96; 74.06-113.06; and 40.48-63.60 ton/ha. These results show that FCD application could be used to classify forest density effectively and in line with the variety of their attributes such us aboveground biomass and carbon stock potential.

scholarly journals COMPARISON OF MODEL ACCURACY IN TREE CANOPY DENSITY ESTIMATION USING SINGLE BAND, VEGETATION INDICES AND FOREST CANOPY DENSITY (FCD) BASED ON LANDSAT-8 IMAGERY (CASE STUDY: PEAT SWAMP FOREST IN RIAU PROVINCE)

2018 ◽  
Vol 15 (1) ◽  
pp. 81 ◽  
Author(s):  
Faisal Ashaari ◽  
Muhammad Kamal ◽  
Dede Dirgahayu
Keyword(s):  
Remote Sensing ◽  
Forest Canopy ◽  
Near Infrared ◽  
Vegetation Indices ◽  
Single Band ◽  
Tree Canopy ◽  
Landsat 8 ◽  
Swamp Forest ◽  
Canopy Density ◽  
Forest Canopy Density

Identification of a tree canopy density information may use remote sensing data such as Landsat-8 imagery. Remote sensing technology such as digital image processing methods could be used to estimate the tree canopy density. The purpose of this research was to compare the results of accuracy of each method for estimating the tree canopy density and determine the best method for mapping the tree canopy density at the site of research. The methods used in the estimation of the tree canopy density are Single band (green, red, and near-infrared band), vegetation indices (NDVI, SAVI, and MSARVI), and Forest Canopy Density (FCD) model. The test results showed that the accuracy of each method: green 73.66%, red 75.63%, near-infrared 75.26%, NDVI 79.42%, SAVI 82.01%, MSARVI 82.65%, and FCD model 81.27%. Comparison of the accuracy results from the seventh methods indicated that MSARVI is the best method to estimate tree canopy density based on Landsat-8 at the site of research. Estimation tree canopy density with MSARVI method showed that the canopy density at the site of research predominantly 60-70% which spread evenly.

scholarly journals Carbon Stocks from Peat Swamp Forest and Oil Palm Plantation in Central Kalimantan, Indonesia

2020 ◽  
pp. 203-227
Author(s):  
Nisa Novita ◽  
J. Boone Kauffman ◽  
Kristell Hergoualc’h ◽  
Daniel Murdiyarso ◽  
Dede Hendry Tryanto ◽  
...  
Keyword(s):  
Oil Palm ◽  
Carbon Stocks ◽  
Swamp Forest ◽  
Peat Swamp Forest ◽  
Central Kalimantan ◽  
Oil Palm Plantation ◽  
Peat Swamp

scholarly journals TREE SPECIES DIVERSITY AND ETHNOBOTANY OF DEGRADED PEAT SWAMP FOREST IN CENTRAL KALIMANTAN

REINWARDTIA ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 27-54
Author(s):  
Titi Kalima ◽  
Sri Suharti ◽  
Sumarhani Sumarhani ◽  
Liam A. Trethowan
Keyword(s):  
Species Diversity ◽  
Tree Species ◽  
Local People ◽  
Tree Species Diversity ◽  
Importance Value ◽  
Swamp Forest ◽  
Peat Swamp Forest ◽  
Central Kalimantan ◽  
Large Tree ◽  
Peat Swamp

KALIMA, T., SUHARTI, S., SUMARHANI & TRETHOWAN, L. A. 2020. Tree species diversity and ethnobotany of degraded peat swamp forest in Central Kalimantan. Reinwardtia 19(1): 27‒54. ‒‒ Most peat swamp forest has been degraded. This has resulted in decline of its biodiversity. The objective of this study was to identify the composition, diversity, and plants used by local people in Bagantung swamp forest. The study was conducted on degraded peat swamp forest area in Bagantung, Mantangai Sub-District, Kapuas District, Central Kalimantan Province. The Shannon-Wiener (H’) and the Importance Value (IV) indices were used for analyzing the species diversity and the species importance across a number of forest plots. Useful tree species were identified by interviewing local villagers. There were 2,562 individual plants in 32 plots (each plot 20 m × 20 m). We identified 100 tree species and 16 non-tree species, from 74 genera, and 46 families. Myrtaceae, Sapotaceae, Ebenaceae, Dipterocarpaceae and Clusiaceae were the most dominant families. Large tree (H’=1.46) and small tree diversity was similar (H’=1.75). In both small and large tree size classes Calophyllum nodusum was the most dominant species. There were 16 tree species and two non-tree species used by local people for house and boat construction, furniture, handicrafts, medicine, and insect repellent.  

scholarly journals Application of Forest Canopy Density (FCD) Model for the Hotspot Monitoring of Crown Fire in Tebo, Jambi Province

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Muhammad Attorik Falensky ◽  
Anggieani Laras Sulti ◽  
Ranggas Dhuha Putra ◽  
Kuswantoro Marko
Keyword(s):  
Remote Sensing ◽  
Spatial Analysis ◽  
Forest Canopy ◽  
Remote Sensing Data ◽  
Forest Area ◽  
Landsat 8 ◽  
Crown Fire ◽  
Canopy Density ◽  
Sensing Data ◽  
Forest Canopy Density

<p><em>Indonesia is one of the owners of the 9th largest forest area in the world. Forest area in Indonesia reaches 884,950 km<sup>2</sup>. Tebo Regency is a regency in Jambi Province which has a wide forest area of 628,003 Ha. However, this forest area has been reduced due to the conversion of functions of Industrial Plantation Forests (HTI), oil palm plantations, and forest clearing activities for both settlements and plantations which led to the phenomenon of forest and land fires (karhutla). This study aims to get a better knowledge of crowns of fire potential locations in forest areas using remote sensing technology. Remote sensing data used in this study is from the satellite imagery </em><em>of </em><em>Landsat 8 OLI - TIRS in 2019. Remote sensing data is used to produce a Forest Canopy Density (FCD) model that can be overlap</em><em>ped with</em><em> a hotspot location, so the crown fire potential locations will be explored in the forest area of Tebo Regency, Jambi Province. Identification of hotspot patterns in Forest Areas was analyzed using spatial analysis. The results of this study are useful for the government as the information of the hotspot area as the cause of fires in the Forest Region of Tebo Regency Jambi Province.</em></p><strong><em>Keywords</em></strong><em>: Spatial Analysis, Forest Cover Density (FCD), Hotspots, Forest Areas, Remote Sensing</em>

scholarly journals VESICULAR-ARBUSCULAR MYCORRHIZAL STATUS OF PLANT SPECIES IN THE PEAT SWAMP FOREST OF SETIA ALAM JAYA, SEBANGAU, CENTRAL KALIMANTAN

2003 ◽  
Vol 9 (1) ◽  
pp. 13-17
Author(s):  
Suciatmih Suciatmih
Keyword(s):  
Plant Species ◽  
Plant Root ◽  
Peat Soil ◽  
Arbuscular Mycorrhizal ◽  
Swamp Forest ◽  
Peat Swamp Forest ◽  
Central Kalimantan ◽  
Peat Swamp ◽  
Vesicular Arbuscular ◽  
High Level

In order to describe the vesicular-arbuscular mycorrhizal (VAM) status of plants growing on peat soil, a study was carried out in the peat swamp forest of Setia Alam Jaya in Sebangau, Central Kalimantan. Out of 146 plant root samples belonging to 48 plant species from 25 families examined, all plants colonized by VAM fungi namely 14 (29.2 percent) high level, 32 (66.7 percent) medium level, and 2 (4.1 percent) low level respectively.

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