scholarly journals Perubahan Penutupan Lahan Di Taman Nasional Way Kambas

2014 ◽  
Vol 2 (1) ◽  
pp. 87
Author(s):  
Danang Arif Maullana ◽  
Arief Darmawan
Keyword(s):  
Land Cover ◽  
Spatial Data ◽  
National Park ◽  
Forest Cover ◽  
Forest Zone ◽  
Attribute Data ◽  
Erdas Imagine ◽  
Open Land ◽  
Way Kambas National Park ◽  
The Way

Land cover changes in Way Kambas National Park (TNWK) changes rapidly. Data on changes in land cover in 1996, 2002 and 2010 in TNWKanalyzed by using remote sensing and Geographic Information Systems (GIS). Analysis also includes changes in land cover in each zoning park management.The research was conducted in June-September 2012 at the Way Kambas National Park. Data collected in the form of Landsat ETM + and TM (1996, 2002, and 2010), field verification points, and attribute data in the form of zoning. Spatial data processed with ERDAS imagine software version 8.5 and Arc View version 3.3, while the data is processed by descriptive attributes and analyzed qualitatively. Land cover types in the Way Kambas National Park is divided into 9 classes of forest, wetland forests, wetlands, shrubs, reeds, open land, water bodies, lading, and no data (cloud and cloud shadow). The largest land cover on the forest zone and the intensive use of coarse grass while special conservation zone and the core zone has the largest forest cover in the form of forest. Keyword : GIS, land cover, Way Kambas National Park

scholarly journals Dynamics of land use and land cover in a Mexican national park

2017 ◽  
Vol 23 (3) ◽  
pp. 87-99
Author(s):  
Maria del Rosario Pineda-López ◽  
Ernesto Ruelas Inzunza ◽  
Lázaro Rafael Sánchez-Velásquez ◽  
Marco A. Espinoza Guzmán ◽  
Alberto Rojo Alboreca ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
National Parks ◽  
National Park ◽  
Forest Cover ◽  
Natural Protected Areas ◽  
Micro Scale ◽  
Rates Of Change ◽  
Local Stakeholders ◽  
Use Categories

To understand the dynamics of land cover at the Parque Nacional Cofre de Perote, the rates of change in land use were compared at two different scales during the period 1995-2004. At the meso scale, these patterns were studied throughout the entire Parque Nacional Cofre de Perote, which is one of the 60 priority mountains of Mexico, and an important natural protected area of the country located in the state of Veracruz. At a micro scale, the work was focused in ejido El Conejo, located within the boundaries of this national park. Federal government digital orthophotos were used to determine changes in nine categories of land use. In both, the meso- and micro-scale, it was found that the predominant land cover categories are agriculture and forest. The probabilities of land cover change at both scales are low and essentially the same for most land use categories, reflecting both small gains in forest cover park-wide as well as the effectiveness of the ejido in managing natural resources within the park. The authors consider that the findings of the study may be applicable to the broader situation of national parks in Mexico and, finally, the importance of integrating local stakeholders in the management of natural protected areas is discussed.

Sustainable Management of Bannerghatta National Park, India, with the Insights in Land Cover Dynamics

2019 ◽  
Vol 8 (2) ◽  
pp. 118-131 ◽  
Author(s):  
T. V. Ramachandra ◽  
Bharath Setturu
Keyword(s):  
Land Use ◽  
Land Cover ◽  
National Parks ◽  
Sustainable Management ◽  
National Park ◽  
Forest Cover ◽  
Environmental Changes ◽  
Buffer Zone ◽  
Change Analysis ◽  
Rapid Economic Growth

The ecosystem of health and natural resource management is influenced by the social, political, economic system and institutional framework in a region. Rapid economic growth in Bangalore and its environs in recent decades has resulted in environmental changes in Bannerghatta National Park (BNP) and its buffer (of 5 km). Land use land cover (LULC) change analysis with a modelling technique such as cellular automata (CA)-Markov was used for quantitatively exploring forest cover transitions. The analysis of LULC dynamics has revealed loss of vegetation cover from 85.78 per cent to 66.37 per cent (1973–2015) and severe environmental stress. The region has lost moist deciduous cover, from 26.1 per cent to 13.8 per cent, and witnessed an increase in horticulture, from 8.5 per cent to 11 per cent (1973–2015). The visualization of likely land use in 2027 indicates the loss of forest cover from 41.38 per cent to 35.59 per cent with an increase in urban area from 4.49 per cent to 9.62 per cent (with new residential and commercial layouts in the buffer zone of BNP in violation of the eco-sensitive zone norms as per Section 5(1) of Environment Protection Act 1986). The study provides insights for developing an appropriate planning framework towards conservation and the sustainable management of ecologically sensitive national parks.

scholarly journals Preliminary observations on the Sumatran rhino in Way Kambas National Park, Indonesia

Oryx ◽  
1997 ◽  
Vol 31 (2) ◽  
pp. 143-150
Author(s):  
Joanne Reilly ◽  
Guy Hills Spedding ◽  
Apriawan
Keyword(s):  
National Park ◽  
Secondary Forest ◽  
Critically Endangered ◽  
World Population ◽  
Viability Analysis ◽  
Way Kambas National Park ◽  
The Way

The Sumatran rhino Dicerorhinus sumatrensis is regarded as critically endangered with a world population of approximately 400. In 1991 it was recorded in Way Kambas National Park, Sumatra, Indonesia, 30 years after the park's last rhino was believed to have been shot. A Sumatran Rhino Population and Habitat Viability Analysis (PHVA) workshop in 1993 recommended an immediate survey be carried out to assess the rhino population in the park. The Way Kambas Project recorded observations of rhino sign between 1993 and 1995. Sign was most frequently observed along trails in mature secondary forest. Data from the areas surveyed suggest the presence of at least four rhinos.

scholarly journals ANALISIS PERUBAHAN TUTUPAN LAHAN PADA ZONASI PENGELOLAAN TAMAN NASIONAL BUKIT TIGA PULUH MENGGUNAKAN CITRA LANDSAT

2020 ◽  
Vol 8 (2) ◽  
pp. 172
Author(s):  
Eva Achmad ◽  
Hamzah Hamzah ◽  
Albayudi Albayudi ◽  
Priambodo Priambodo
Keyword(s):  
Land Cover ◽  
National Park ◽  
Secondary Forest ◽  
Average Rate ◽  
Rate Of Change ◽  
Primary Forest ◽  
Secondary Forests ◽  
Open Land ◽  
Central Sumatra ◽  
Remote Sensing Methods

Bukit Tiga Puluh National Park is one of the important Nature Conservation Areasin central Sumatra because it has a variety of protected flora and fauna. The aim of this research was to observe the rate of change of land cover in the period 2002-2016 in Bukit Tiga Puluh National Park. The research used remote sensing methods by utilizing satellite imagery data to generate land cover data. This study used the classification of supervised images, where the image classes are self-defined based on field data in the form of coordinate points marked with GPS. The study found that land cover has changed from 2002-2016, where thearea of primary forest has decreased 5.422,80 hectares or with average rate 387,34 hectares/year, secondary forest had an increase of 103,00 hectares or with average rate of 7.35 hectares / year, open land increased 2,243.13 hectares or at an average rate of 160.22 hectares / year, dryland agriculture increased 1,929.69 hectares with an average rate of 137, 83 hectares / year, dryland farming mixed with shrubs increased 641.32 hectares or with an average rate of 45.80 hectares / year, and shrubs increased 505.66 hectares or with an average rate of 36.11 hectares / year. The results of the classification in the management zone, the core zone is dominated by primary and secondary forests while in the jungle zone there is a closure other than forests such as agriculture, shrubs and open land as much as 0.05%.

scholarly journals ANALISIS OBYEK DAYA TARIK WISATA (ODTW) DAN INTERPRETASI JALUR EKOWISATA ELEPHANT TOUR DI PUSAT LATIHAN GAJAH TAMAN NASIONAL WAY KAMBAS

2021 ◽  
Vol 9 (2) ◽  
pp. 270
Author(s):  
Miftahudin Miftahudin ◽  
Gunardi Djoko Winarno ◽  
Trio Santoso ◽  
Arief Darmawan
Keyword(s):  
Spatial Analysis ◽  
National Park ◽  
Elephas Maximus ◽  
Field Observations ◽  
Training Center ◽  
Way Kambas National Park ◽  
Center Area ◽  
The Way

Way Kambas National Park is famous as an endemic habitat for the Sumatran Elephant (Elephas maximus sumatranus) precisely in the Elephant Training Center area as a base for ecotourism activities. Statistics on the number of tourist visits turned out to show a decrease, therefore we need an innovative eco-tourism breakthrough one of which has the potential to be developed is the Elephant Tour ecotourism. The purpose of this study is to identify potential attraction objects that exist in the Way Kambas National Park Elephant Training Center and interpret ecotourism path plans. The method used in this study is field observations to obtain data on potential points and ecotourism path. The data that has been obtained is then tabulated for descriptive and spatial analysis. The results showed that the object of attraction in the Way Kambas National Park precisely in the area of the Elephant Training Center consists of flora, fauna, beauty landscape and planned ecotourism path into two, long and short trips.

scholarly journals Autecology of Melastoma malabathricum, an invasive species in the Way Kambas National Park, Indonesia

2020 ◽  
Vol 21 (5) ◽  
Author(s):  
JANI MASTER ◽  
IBNUL QAYIM ◽  
DEDE SETIADI ◽  
NYOTO SANTOSO
Keyword(s):  
Climate Change ◽  
Invasive Species ◽  
Invasive Plants ◽  
National Park ◽  
Abiotic Factors ◽  
Canopy Cover ◽  
Vegetation Analysis ◽  
Melastoma Malabathricum ◽  
Way Kambas National Park ◽  
The Way

Abstract. Master J, Qayim I, Setiadi D, Santoso N. 2020. Autecology of Melastoma malabathricum, an invasive species in the Way Kambas National Park, Indonesia. Biodiversitas 21: 2303-2310. Melastoma malabathricum has become one of the invasive plants in the Way Kambas National Park (WKNP), Lampung, Indonesia. This plant is feared to be a problem in efforts to conserve biodiversity in the WKNP area. Therefore, this study aimed to analyze the factors causing the invasion of these plants. The vegetation analysis plot was placed on three types of habitats in the study location, namely, forests, swamps, and invaded swamps, then measurements and records of vegetation data and abiotic factors were recorded in each plot. The results reveal that M. malabathricum dominates swamp habitat and negatively associated with trees, which can provide canopy. Abiotic factors, such as canopy cover, water level, and soil fertility, become supporting factors for the invasion. In addition, climate change, which is causing drought also contributes to the invasion of M. malabathricum at the WKNP.

Mapping Land Coverage in the Kapuas Watershed Using Machine Learning in Google Earth Engine

2020 ◽  
Vol 4 (2) ◽  
pp. 390-395
Author(s):  
Trida Ridho Fariz ◽  
Ely Nurhidayati
Keyword(s):  
Machine Learning ◽  
Land Cover ◽  
Spatial Data ◽  
Google Earth ◽  
Landsat 8 ◽  
Significant Area ◽  
Open Land ◽  
Google Earth Engine ◽  
Bodies Of Water ◽  
Processing Platform

Land cover information is essential data in the management of watersheds. The challenge in providing land cover information in the Kapuas watershed is the cloud cover and its significant area coverage, thus requiring a large image scene. The presence of a cloud-based spatial data processing platform that is Google Earth Engine (GEE) can be answered these challenges. Therefore this study aims to map land cover in the Kapuas watershed using machine learning-based classification on GEE. The process of mapping land cover in the Kapuas watershed requires about ten scenes of Landsat 8 satellite imagery. The selected year is 2019, with mapped land cover classes consisting of bodies of water, vegetation cover, open land, and built-up area. Machine learning that tested included CART, Random Forest, GMO Max Entropy, SVM Voting, and SVM Margin. The results of this study indicate that the best machine learning in mapping land cover in the Kapuas watershed is GMO Max Entropy, then CART. This research still has many limitations, especially mapped land cover classes. So that research needs to be developed with more detailed land cover classes, more diverse and multi-time input data.

scholarly journals Land Use/Land Cover Changes in the Tlemcen Region (Algeria) and Classification of Fragile Areas

2021 ◽  
Vol 13 (14) ◽  
pp. 7761
Author(s):  
Abdelkader Bardadi ◽  
Zahira Souidi ◽  
Marianne Cohen ◽  
Mohamed Amara
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Forest Fires ◽  
National Park ◽  
Forest Cover ◽  
Land Use Land Cover ◽  
K Nearest Neighbor ◽  
Landsat Images ◽  
Mountain Areas

The Tlemcen region is characterized by very diverse and steep areas exposed to gravity hazards, especially in high and medium mountain areas. Tlemcen National Park was chosen for this study, the main objective of which is to map fragile areas in close relation to reduced vegetation cover due to land-use changes and forest fires. Multi-source data were used to monitor land use/land cover (LULC)patterns in the study area between 1987 and 2017. The methodology is based on an object-oriented classification of the Landsat images, using the K nearest neighbor method for mapping the major LULC classes at the national park level. The results show that LULC is constantly changing in the study area. In 1987, the landscape was made up of (16.5%) oak forests (holm oak, cork oak, zean oak) and Aleppo pine, which then deteriorated following repeated fires in the nineties to barely represent 7.22% of the surface in 1995, followed by a fast forest reclamation, with the forest area doubling in 10 years (13.46% of the area in 2005), and a near stabilization of the forest cover in 2017 with 14.68% of the area. These mutations are mainly due to fluctuations in anthropogenic action. Despite past declines and disturbances, the current forested area in the Tlemcen area represents significant forest capital classified as a national park to be protected and developed.

scholarly journals PERUBAHAN TUTUPAN LAHAN DI HUTAN KEMASYARAKATAN GAPOKTAN JAYA LESTARI PROVINSI LAMPUNG

2021 ◽  
Vol 9 (2) ◽  
pp. 366
Author(s):  
Fredy Rahmandani ◽  
S. B. Yuwono ◽  
C. Wulandari
Keyword(s):  
Data Analysis ◽  
Land Cover ◽  
Forest Cover ◽  
Image Data ◽  
Data Series ◽  
Dry Land ◽  
Work Area ◽  
Scientific Analysis ◽  
Open Land ◽  
Forest Land Cover

The research, which was conducted at the Gapoktan HKm Jaya Lestari at the Bukit Punggur KPH, aimed to find out changes in land cover in the HKm work area in 2000, 2009 and 2017, and to determine the effect of the implementation of the HKm program on the condition of forest cover in these locations. This research data analysis used Geographic Information Systems (GIS). Image data analysis includes analysis of land changes carried out by identifying changes in objects in different images at the study site. The extent of each class was calculated from all image data series (2000, 2009 and 2017), then interpretation through descriptive data analysis. Based on the results of this study, the period 2000-2009 added the largest area of land cover in the Secondary Dry Land Forest (Hs) class (1.34% to 83.56%). The addition occurred due to a decreasing in the area of dryland agriculture cover (Pt) 55.48%, Open land (T) 12.91%, Primary dry land forest (Hp) 6.57%, Settlement (Pm) 4.95%, and shrubs (B) 2.34%. The 2009-2017 period of forest land cover which experienced the biggest change was the secondary dryland forest class (Hs), which experienced a decrease in area (83.56% to 46.08%) then primary dryland forest (HP) 7.06%, compared to inverted with settlement class (Pm) which increased 2.69%, followed by shrubs (B) 24.71%, open land (T) 20.56%, and dry land Agriculture (Pt) 3.54%. This provides an important finding and is based on the results of scientific analysis that the land cover in the form of forest trees in the area of Gapoktan management is reduced after the IUP-HKm is accepted by the community. It can be seen from the amount of additional cover in the form of shrubs, settlements and open land. Based on these conditions it is necessary to make efforts to improve the management system of HKm Gapoktan Lestari Jaya area through an agroforestry program.

scholarly journals Geothermal Energy Utilization in the Kamojang Nature Reserve, West Java, Indonesia

2016 ◽  
Vol 29 (2) ◽  
pp. 129
Author(s):  
Endes N Dahlan ◽  
Vella Putiksari ◽  
Lilik Budi Prasetyo
Keyword(s):  
Land Cover ◽  
Land Cover Change ◽  
Geothermal Energy ◽  
National Park ◽  
Forest Cover ◽  
Nature Reserve ◽  
Energy Utilization ◽  
Exploration And Exploitation ◽  
Surrounding Area ◽  
Year 2000

Geothermal energy activities are allegedly disturbing Kamojang Nature Reserve by clearing the forest. Actually, the national park according to the Law No. 41 of 1999, must not jeopardize the preservation of germplasm in it. Meanwhile, the utilization of geothermal power plant in the area is also required to meet the electricity demand in Indonesia. Land clearing as one of the activity of exploration and exploitation of geothermal coupled with the increasing of human’s activity inside the forest caused widespread deforestation. Since there is a geothermal energy project inside the Kamojang Nature Reserve, then the aim of this study is to analysis the land cover change at Kamojang Nature Reserve from year 2000 until 2011. The research showed that the type of land cover was dominated by forest for about 4231.3 ha with forest cover percentage around 51.17%. Aside of that, the land cover change caused by exploration and exploitation of Pertamina Geothermal Energy was 60.2 ha (8.90 %), while the changes caused by human activities was 614.46 ha (91.10 %). Based on these results, replanting had been done to overcome the worse effect from each activities. The extent of reforestation and enrichment conducted by PGE was 680.58 ha by involving the society who live in surrounding area.

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