scholarly journals ANALISIS PERUBAHAN TUTUPAN HUTAN DI TAMAN NASIONAL GUNUNG PALUNG, KALIMANTAN BARAT, MENGGUNAKAN PENGINDERAAN JAUH

2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Nurul Ihsan Fauzi ◽  
M Ari Wibawanto ◽  
Mahardika Putra Purba
Keyword(s):  
Maximum Likelihood ◽  
Forest Fires ◽  
National Park ◽  
Forest Cover ◽  
Remote Sensing Data ◽  
Likelihood Method ◽  
Primary Forest ◽  
Secondary Forests ◽  
Visual Interpretation ◽  
Landsat Images

Monitoring forest cover to find out deforestation activities in a national park serves as an important task. This study aims to analyze forest cover changes in Gunung Palung National Park from 1989 to 2018. The method employs visual interpretation aided by supervised classification with the maximum likelihood method. Remote sensing data involved 18 Landsat images from 1989 to 2018 path/row 121/61. The results indicated that Gunung Palung National Park had 97,148 hectares of primary forest losing its 10% of its forest (since 1989). The primary forest decreased to 72,684 hectares in 1997 and 69,851 hectares in 2018. To date, primary forest cover has been found stable with secondary forests reaching to 25,050 hectares occupying 26% of Gunung Palung National Park area. Deforestation in Gunung Palung National Park was due to illegal logging and forest fires as a result of El Nio influence. The results of the analysis informed that there was an insignificant deforestation in Gunung Palung National Park during in the period of 2016 - 2018. In sum, conservation programs are encouraged to sustain, despite a decline in deforestation activities at Gunung Palung National Park. Keywords: Gunung Palung National Park, forest conservation, deforestationMonitoring tutupan hutan untuk mengetahui aktivitas deforestasi di taman nasional penting untuk dilakukan. Tujuan penelitian ini adalah untuk menganalisis perubahan tutupan hutan di TN Gunung Palung dari tahun 1989 2018. Metode yang digunakan adalah visual dibantu dengan klasifikasi terselia dengan metode maximum likelihood. Data penginderaan jauh yang digunakan adalah 18 citra Landsat tahun 1989 2018 path/row 121/61. Hasil penelitian menunjukkan sejak tahun 1989 TN Gunung Palung memiliki hutan primer seluas 97.148 hektar atau telah kehilangan 10% hutannya. Luas hutan primer menurun menjadi 72.684 hektar di tahun 1997 dan menjadi 69.851 hektar ditahun 2018. Saat ini kondisi tutupan hutan primer dalam kondisi stabil dengan hutan sekunder mencapai 25.050 hektar atau 26% dari luas TN Gunung Palung. Deforestasi di TN Gunung Palung disebabkan oleh pembalakan liar dan kebakaran hutan akibat pengaruh El Nio. Hasil analisis tidak ditemukan deforestasi di TN Gunung Palung selama rentang 2016 2018. Program konservasi harus tetap dilakukan walaupun telah terjadi penurunan aktivitas deforestasi di TN Gunung Palung.Kata kunci: Taman Nasional Gunung Palung, konservasi hutan, deforestasi

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 STUDY OF THE STATE OF FORESTS OF THE ROSTOV REGION WITH THE USE OF MODERN GEOINFORMATION TECHNOLOGIES

2021 ◽  
Vol 2 (6) ◽  
pp. 100-109
Author(s):  
M.M. Streltsova ◽  
◽  
, O.E. Arkhipova ◽  
Keyword(s):  
Forest Fires ◽  
Forest Cover ◽  
Temporal Dynamics ◽  
Remote Sensing Data ◽  
Steppe Zone ◽  
The State ◽  
Forest Change ◽  
Space Images ◽  
Rostov Region ◽  
Geoinformation Technologies

The work is devoted to the study of the forests of the Rostov region, the determination of the spatio-temporal dynamics of the area of the territory covered with forest, using remote sensing data and geoinformation systems. The relevance of the study is due to the active anthropogenic impact on forests in the steppe zone, in a region with a forest deficit cover. The purpose of the study is to study the state of forests based on the use of modern geoinformation technologies, to assess the dynamics of forest cover in the forest fund of the Rostov region. The object of research is one of the most wooded areas of the Rostov region – the Verkhnedonsky. To study the state of the forests of the Rostov region, satellite images obtained using the Sentinel-2 spacecraft and data from the Global Forest Change application were used. Earth Engine. The efficiency of application of various methods of classification of space images has been investigated. It was revealed that despite the forest fires that affect the forests of the region due to climatic and natural factors, the area of gum massifs since 2015, in accordance with the classification carried out, has increased by about 300 hectares.

scholarly journals Farmers’ Income and Land Cover Change at Lore Lindu National Park in Indonesia

2018 ◽  
Vol 12 (12) ◽  
pp. 41
Author(s):  
Rustam Abdul Rauf ◽  
Adam Malik ◽  
Isrun . ◽  
Golar . ◽  
Alimudin Laapo ◽  
...  
Keyword(s):  
Land Cover ◽  
Land Cover Change ◽  
National Park ◽  
Agricultural Land ◽  
Secondary Forest ◽  
Forest Area ◽  
Farm Income ◽  
Primary Forest ◽  
Secondary Forests ◽  
Lore Lindu National Park

Lore Lindu National Park in Central Sulawesi is one of the protected areas. Although it is protected, many of its areas are experiencing pressure and disruption by human activities. The purpose of this research was to know the relationship between farmers’ income and land cover change at Lore Lindu National Park. The research method was a participatory survey. Variables of incomes were sourced from farming and outside farming (forests). Data of land cover change were obtained using imagery in 2012, 2014 and 2016. The result of research is the average of farming income of IDR 1,387,077 (cocoa farming) and non-farm income of IDR 854,819 (forest honey, resin). In the last five years (2012-2016), the primary forest area decreased by 902.37 ha, while the secondary forest has shown an increase of 2,233.61 ha. The trend of land cover change was drastic, with change in the secondary dry land forest area from 6.9 ha (in 2012) to 2,240.5 ha (in 2016). The increased secondary forest area and the secondary forests have been converted into agricultural land and mixed gardens.

scholarly journals Understanding 34 Years of Forest Cover Dynamics across the Paraguayan Chaco: Characterizing Annual Changes and Forest Fragmentation Levels between 1987 and 2020

Forests ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 25
Author(s):  
Emmanuel Da Da Ponte ◽  
Monserrat García-Calabrese ◽  
Jennifer Kriese ◽  
Nestor Cabral ◽  
Lidia Perez de Perez de Molas ◽  
...  
Keyword(s):  
Protected Areas ◽  
Forest Cover ◽  
Natural Habitat ◽  
Remote Sensing Data ◽  
Rapid Expansion ◽  
Forest Cover Change ◽  
Landsat Images ◽  
Forest Clearing ◽  
Deforestation Rates ◽  
Degree Of Fragmentation

Over the past 40 years, Paraguay has lost the majority of its natural forest cover, thus becoming one of the countries with the highest deforestation rates in the world. The rapid expansion of the agricultural frontier, cattle ranching, and illegal logging between 1987 and 2012 resulted in the loss of 27% of original forest cover, equivalent to almost 44,000 km2. Within this context, the present research provides the first yearly analysis of forest cover change in the Paraguayan Chaco between the years 1987 and 2020. Remote sensing data obtained from Landsat images were applied to derive annual forest cover masks and deforestation rates over 34 years. Part of this study is a comprehensive assessment of the effectiveness of protected areas, as well as an analysis of the degree of fragmentation of the forest. All classification results obtained accuracies above 80% and revealed a total forest cover loss of approximately 64,700 km2. Forest clearing within protected areas was not frequent; however, some natural reserves presented losses of up to 25% of their forest cover. Through the consideration of several landscape metrics, this study reveals an onward fragmentation of forest cover, which endangers the natural habitat of numerous species.

scholarly journals Distribution and characteristics of the Makassar tarsius Tarsius fuscus fischer, 1804 sleeping nest in the tropical primary and secondary forests of South Sulawesi

2021 ◽  
Vol 948 (1) ◽  
pp. 012034
Author(s):  
A A Andriyani ◽  
R Nugraha ◽  
S N Marliana
Keyword(s):  
Human Disturbance ◽  
National Park ◽  
Secondary Forest ◽  
Primary Forest ◽  
Habitat Requirements ◽  
Secondary Forests ◽  
Distribution Maps ◽  
Nest Distribution ◽  
South Sulawesi ◽  
Wide Range

Abstract Tarsius fuscus, whose distribution is limited to the southern part of South Sulawesi, Indonesia, is threatened by poaching and habitat loss, with the latter leading to the disappearance of its sleeping nest locations, despite the species’ wide range of habitat requirements. This study aimed to identify the distribution and characteristics of T. fuscus sleeping nests. Research took place in Bantimurung Bulusaraung National Park primary and secondary forest areas and Hasanuddin University Educational Forest. Sleeping nest locations were identified through vocalizations in the morning (4.30–6.00 am) and direct visual observations. Sleeping nest distribution maps were created using QGIS 3.16. Sleeping nests were found in karst rock shelters, Ficus trees, forest pandanus, and fallen tree debris, at elevations of 68–947 mdpl, 4–42° slopes, temperatures ranging 23.3–29.1°C, and distances to roads and settlements of 21.4–460.3 m and 325.9–1888.5 m, respectively. Tarsius fuscus tended to nest in primary forest rather than secondary forest, although this may also be caused by the larger proportion of primary forest. Protecting both primary and secondary forest is crucial, but particular focus should be given to the latter, owing to its susceptibility to human disturbance.

scholarly journals Potencial de las imágenes UAV como datos de verdad terreno para la clasificación de la severidad de quema de imágenes Landsat: aproximaciones a un producto útil para la gestión post incendio

2017 ◽  
pp. 91 ◽  
Author(s):  
M. Pla ◽  
A. Duane ◽  
L. Brotons
Keyword(s):  
Remote Sensing ◽  
Decision Making ◽  
Forest Fires ◽  
Fire Severity ◽  
Remote Sensing Data ◽  
Ground Truth ◽  
Linear Regression Models ◽  
Kappa Index ◽  
Landsat Images ◽  
Uav Images

<p>Mapping fire severity is determinant to understand landscape evolution after a wildfire and provides useful information for decision making during post fire management. Quantitative fire severity mapping from relative changes in Normalized Burn Ratio index (RdNBR) is not actually being incorporated into decision making processes, being more useful the categorization in severity levels (high, moderate and low). However, the most common mapping severity methodologies based on the definition of RdNBR thresholds from field information are not always possible due to lack of field data or because the published thresholds are unsatisfactory in new regions. The boom in the use of UAVs (Unmanned Aerial Vehicle) has raised these platforms as potential tools for validation of remote sensing data. This paper presents the potential of UAVs as ground truth information in forest fires. From the photointerpretation of high resolution RGB images, the Aerial Severity Proportion Index (ASPI) has been created. Non-linear regression models between RdNBR and ASPI allows to delimitate of thresholds for the classification of Landsat images and to obtain qualitative severity maps. Validation with random points presents a kappa index of 0,5 and a relative accuracy of 70,8%. Therefore, UAV images become a very useful tool for wildfire severity mapping and for fill the gap between remote sensing information and expensive field ground campaigns</p>

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 The effects of fruit availability and habitat disturbance on an assemblage of Sumatran hornbills

2000 ◽  
Vol 10 (3) ◽  
pp. 189-202 ◽  
Author(s):  
Kiki Anggraini ◽  
Margaret Kinnaird ◽  
Timothy O'Brien
Keyword(s):  
Forest Fires ◽  
Temporal Variability ◽  
National Park ◽  
Habitat Disturbance ◽  
Primary Forest ◽  
Expected Number ◽  
Fruit Availability ◽  
Disturbed Areas ◽  
Viable Seeds ◽  
Time Movement

We examined the influence of fruit availability and habitat disturbance, including past and recent forest fires, on an assemblage of hornbills over a four-month period in the Bukit Barisan Selatan National Park, Sumatra. The assemblage is dominated by Wreathed Hornbills Aceros undulatus (7.5 birds/km2), followed by Bushy-crested Hornbills Anorrhinus galeritus (3.05 birds/km2), Rhinoceros Hornbills Buceros rhinoceros (2.6 birds/km2), and Helmeted Hornbills Buceros vigil (1.9 birds/km2). Overall densities for each species were consistent with estimates from other South-East Asian sites but densities varied temporally and spatially, even for territorial species. We speculate that Rhinoceros and Helmeted Hornbills may exhibit facultative territoriality or they may not be territorial at this site. We found a positive relationship between temporal variability in hornbill numbers and the availability of ripe fruits. All hornbills, especially Rhinoceros and Bushy-crested Hornbills, tended to avoid highly disturbed areas; these areas had a lower than expected number of fruiting trees in five important hornbill diet families. Densities of Bushy-Crested, Rhinoceros, and Helmeted Hornbills declined from 28 to 63% in the post-burn surveys. Wreathed Hornbills, however, increased slightly in the post-burn surveys, possibly because they were nesting there at the time. Movement of hornbills between disturbed and primary forest habitat may enhance regeneration of disturbed areas if hornbills are transporting viable seeds.

scholarly journals Mapping Mature Post-Agricultural Forests in the Polish Eastern Carpathians with Archival Remote Sensing Data

2021 ◽  
Vol 13 (10) ◽  
pp. 2018
Author(s):  
Zofia Jabs-Sobocińska ◽  
Andrzej N. Affek ◽  
Ireneusz Ewiak ◽  
Mihai Daniel Nita
Keyword(s):  
Remote Sensing ◽  
Satellite Images ◽  
Management Practices ◽  
Forest Cover ◽  
Remote Sensing Data ◽  
Aerial Photographs ◽  
Secondary Forests ◽  
Agricultural Lands ◽  
Sensing Data ◽  
Eastern Carpathians

Post-WWII displacements in the Polish Carpathians resulted in widespread land abandonment. Most of the pre-war agricultural areas are now covered with secondary forests, which will soon reach the felling age. Mapping their exact cover is crucial to investigate succession–regeneration processes and to determine their role in the landscape, before making management decisions. Our goal was to map post-agricultural forests in the Polish Eastern Carpathians using archival remote sensing data, and to assess their connectivity with pre-displacement forests. We used German Flown Aerial Photography from 1944 to map agricultural lands and forests from before displacements, and Corona satellite images to map agricultural lands which converted into the forest as a result of this event. We classified archival images using Object-Based Image Analysis (OBIA) and compared the output with the current forest cover derived from Sentinel-2. Our results showed that mature (60–70 years old) post-agricultural forests comprise 27.6% of the total forest area, while younger post-agricultural forests comprise 9%. We also demonstrated that the secondary forests fill forest gaps more often than form isolated patches: 77.5% of patches are connected with the old-woods (forests that most likely have never been cleared for agriculture). Orthorectification and OBIA classification of German Flown Aerial Photographs and Corona satellite images made it possible to accurately determine the spatial extent of post-agricultural forest. This, in turn, paves the way for the implementation of site-specific forest management practices to support the regeneration of secondary forests and their biodiversity.

scholarly journals An Assessment of Forest Cover Change and Its Driving Forces in the Syrian Coastal Region during a Period of Conflict, 2010 to 2020

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 191
Author(s):  
Mohamed Ali Mohamed
Keyword(s):  
Forest Fires ◽  
Forest Cover ◽  
Driving Forces ◽  
Forest Resources ◽  
Climatic Conditions ◽  
Forest Area ◽  
Forest Cover Change ◽  
Landsat Images ◽  
Syrian Coast ◽  
Coast Region

In Syria, 76% of the forests are located in the Syrian coast region. This region is witnessing a rapid depletion of forest cover during the conflict that broke out in mid-2011. To date, there have been no studies providing accurate, reliable, and comprehensive data on the qualitative and quantitative aspects of forest change dynamics and the underlying drivers behind this change. In this study, changes in the dynamics of forest cover and its density between 2010 and 2020 were detected and analyzed using multi-temporal Landsat images. This study also analyzed the relationship between changes in forest cover and selected physical and socio-demographic variables associated with the drivers of change. The results revealed that the study area witnessed a significant decrease in the total forest area (31,116.0 ha, 24.3%) accompanied by a considerable decrease in density, as the area of dense forests decreased by 11,778.0 ha (9.2%) between 2010 and 2020. The change in forest cover was driven by a variety of different factors related to the conflict. The main drivers were changes in economic and social activities, extensive exploitation of forest resources, frequent forest fires, and weakness of state institutions in managing natural resources and environmental development. Forest loss was also linked to the expansion of cultivated area, increase in population and urban area. Fluctuating climatic conditions are not a major driver of forest cover dynamics in the study area. This decrease in forest area and density reflects sharp shifts in the natural environment during the study period. In the foreseeable future, it is not possible to determine whether the changes in forest cover and its density will be permanent or temporary. Monitoring changes in forest cover and understanding the driving forces behind this change provides quantitative and qualitative information to improve planning and decision-making. The results of this study may draw the attention of decision-makers to take immediate actions and identify areas of initial intervention to protect current the forests of the Syrian coast region from loss and degradation, as well as develop policies for the sustainable management of forest resources in the long term.

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