scholarly journals PERUBAHAN LUAS DAN KERAPATAN HUTAN MANGROVE PULAU PANIKIANG KABUPATEN BARRU

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
A. Ibnu Rahmatullah Qamal
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Satellite Imagery ◽  
Mangrove Forest ◽  
Forest Area ◽  
Vegetation Changes ◽  
Mangrove Forests ◽  
Remote Sensing Images ◽  
Mangrove Vegetation ◽  
Landsat 5 Tm

ABSTRACT                This study aims to find out how changes in mangrove forest area and how the density of mangrove forests in Panikiang Island changes from 1998 to 2018. Analysis of changes used is the analysis of remote sensing images. The image used is satellite imagery LANDSAT 5 TM acquisition 1998 and LANDSAT OIL imagery acquisition in 2018. The guided classification method with the maximum like-lihood method is used to determine changes in mangrove forest area, while for non-guided classification using NDVI formula.                The results obtained in 1998 mangrove vegetation covering an area of 6.93 hectares experienced changes in land cover to non-vegetative mangrove and elsewhere on the island became 3.24 hectares of mangrove vegetation. Changes in the area of mangrove forests from 1998-2018 were 3.92 hectares.The density of the Pannikiang Island mangrove forest in 1998 with the class of meetings decreased by 34.56 hectares, the density class increased by 23.67 hectares and the density rarely increased by 7.2 hectares.

scholarly journals KERUSAKAN EKOSISTEM MANGROVE DI KECAMATAN UJUNG PANGKAH KABUPATEN GRESIK PROVINSI JAWA TIMUR Degradation of Mangrove Ecosystem in Ujung Pangkah Subdistrict Gresik District East Java Province

2017 ◽  
Vol 8 (2) ◽  
pp. 130-133
Author(s):  
Arif Prasetyo ◽  
Nyoto Santoso ◽  
Lilik Budi Prasetyo
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Mangrove Forest ◽  
Mangrove Ecosystem ◽  
Geographic Information ◽  
Forest Area ◽  
Land Conversion ◽  
Mangrove Forests ◽  
Geographic Information System Application

The mangrove ecosystem in Ujung Pangkah Sub-district Gresik District has an important role in living life in the delta of Bengawan Solo River. The existence of mangrove ecosystem in this sub-district is threatened by land conversion activity, especially land conversion of mangrove forest to fishpond. In addition, sedimentation activities in the Solo River led to the formation of new land in the mouth of the river that formed the mudflat. This location is an important habitat for flora and fauna. The existence of mangrove forests and emerging lands is threatened by land conversion activities into ponds. The degradation condition of mangrove ecosystem in this research is coastal change in the form of abrasion and reduction of mangrove forest area determined by spatial approach with Geographic Information System application and remote sensing. Damage to mangrove ecosystem in the period 2006 to 2016 in the form of abrasion is 177.64 hectares, while the reduction of mangrove forest area in the same period of 101.70 hectares.Key words: Geographic Information System, remote sensing, Gresik, Bengawan Solo River

scholarly journals ANALYSIS OF LAND COVER CHANGES IN MANGROVE VEGETATION USING LANDSAT IMAGE DATA IN COASTAL, SUNGAI APIT DISTRICT, SIAK REGENCY, RIAU PROVINCE

2021 ◽  
Vol 4 (2) ◽  
pp. 154-162
Author(s):  
Armanda Armanda ◽  
Mubarak Mubarak ◽  
Elizal Elizal
Keyword(s):  
Land Cover ◽  
Mangrove Forest ◽  
Vegetation Index ◽  
Image Data ◽  
Landsat Image ◽  
Survey Method ◽  
Land Cover Changes ◽  
Mangrove Forests ◽  
A Value ◽  
Mangrove Vegetation

This research was conducted in March-April 2021 in the Coastal District of Sungai Apit, Siak Regency, Riau Province. The purpose of this study was to analyze changes in the land cover area of ​​mangrove vegetation and mangrove vegetation index in Sungai Apit District, Siak Regency, Riau Province. The method used in this study is a survey method with the interpretation of Landsat image data recorded in 2000, 2005, 2010, 2015, 2020. The results of the study obtained that mangrove forests with the highest area were in 2000 with an area of ​​mangrove vegetation reaching 7990,586 ha and there was a decline with the lowest number in 2015 with a vegetation area of ​​486,43 ha and in 2020 the mangrove vegetation area of ​​497,511 ha. Overall as much as 79% of the mangrove forest area has been damaged and changed its function within a period of 20 years. The NDVI value in Sungai Apit District is moderate with a value of 0,3-0,5, the category of meeting with a value of 0,5-0,6, and the very dense category of 0,6-0,8

scholarly journals Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 312
Author(s):  
Barbara Wiatkowska ◽  
Janusz Słodczyk ◽  
Aleksandra Stokowska
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Landsat 8 ◽  
Rate Of Increase ◽  
Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

scholarly journals Toward a Yearly Country-Scale CORINE Land-Cover Map without Using Images: A Map Translation Approach

2021 ◽  
Vol 13 (6) ◽  
pp. 1060
Author(s):  
Luc Baudoux ◽  
Jordi Inglada ◽  
Clément Mallet
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Time Frame ◽  
Superior Performance ◽  
Land Cover Mapping ◽  
Visual Interpretation ◽  
Remote Sensing Images ◽  
Corine Land Cover ◽  
Land Cover Map ◽  
By Products

CORINE Land-Cover (CLC) and its by-products are considered as a reference baseline for land-cover mapping over Europe and subsequent applications. CLC is currently tediously produced each six years from both the visual interpretation and the automatic analysis of a large amount of remote sensing images. Observing that various European countries regularly produce in parallel their own land-cover country-scaled maps with their own specifications, we propose to directly infer CORINE Land-Cover from an existing map, therefore steadily decreasing the updating time-frame. No additional remote sensing image is required. In this paper, we focus more specifically on translating a country-scale remote sensed map, OSO (France), into CORINE Land Cover, in a supervised way. OSO and CLC not only differ in nomenclature but also in spatial resolution. We jointly harmonize both dimensions using a contextual and asymmetrical Convolution Neural Network with positional encoding. We show for various use cases that our method achieves a superior performance than the traditional semantic-based translation approach, achieving an 81% accuracy over all of France, close to the targeted 85% accuracy of CLC.

scholarly journals DFFAN: Dual Function Feature Aggregation Network for Semantic Segmentation of Land Cover

2021 ◽  
Vol 10 (3) ◽  
pp. 125
Author(s):  
Junqing Huang ◽  
Liguo Weng ◽  
Bingyu Chen ◽  
Min Xia
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Spatial Information ◽  
Feature Fusion ◽  
Semantic Segmentation ◽  
Dual Function ◽  
Context Information ◽  
Remote Sensing Images ◽  
Feature Aggregation ◽  
Image Context

Analyzing land cover using remote sensing images has broad prospects, the precise segmentation of land cover is the key to the application of this technology. Nowadays, the Convolution Neural Network (CNN) is widely used in many image semantic segmentation tasks. However, existing CNN models often exhibit poor generalization ability and low segmentation accuracy when dealing with land cover segmentation tasks. To solve this problem, this paper proposes Dual Function Feature Aggregation Network (DFFAN). This method combines image context information, gathers image spatial information, and extracts and fuses features. DFFAN uses residual neural networks as backbone to obtain different dimensional feature information of remote sensing images through multiple downsamplings. This work designs Affinity Matrix Module (AMM) to obtain the context of each feature map and proposes Boundary Feature Fusion Module (BFF) to fuse the context information and spatial information of an image to determine the location distribution of each image’s category. Compared with existing methods, the proposed method is significantly improved in accuracy. Its mean intersection over union (MIoU) on the LandCover dataset reaches 84.81%.

An evaluation approach for segmentation results of high-resolution remote sensing images based on the degree distribution of land cover networks

2018 ◽  
Vol 32 (25) ◽  
pp. 1850283
Author(s):  
Jing He ◽  
Gang Liu ◽  
Weile Li ◽  
Chuan Tang ◽  
Jiayan Lu
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Degree Distribution ◽  
Heavy Tails ◽  
Object Oriented ◽  
Topological Properties ◽  
Analysis Method ◽  
Remote Sensing Images ◽  
Spectral Difference ◽  
Evaluation Approach

Identifying the degree distribution of land cover networks is helpful to find analytical methods for characterizing complex land cover, including segmentation techniques of remote sensing images of land cover. After segmentation, we can obtain the geographical objects and corresponding relationships. In order to evaluate the segmentation results, we introduce the concept of land cover network and present an analysis method based on statistics of its degree distribution. Considering the object-oriented segmentation and objects merge-based spectral difference segmentation, we construct the land cover networks for different segmentation scales and spatial resolutions under these two segmentation strategies, and study the degree distribution of each land cover network. Experimental results indicate that, for the object-oriented segmentation, the degree distributions of land cover networks follow approximately a Poisson distribution, regardless of the segmentation scales and spatial resolutions. For the objects-merge method based on spectral difference segmentation, degree distributions exhibit heavy tails. Compared with all the segmentation results, the pattern spots after objects-merge better retain the integrity of geographical features and the land cover network can reflect more accurately the topological properties of real land cover when the threshold of objects merge is suitable. This study shows that we can evaluate the reliability of segmentation results objectively by analyzing the degree distribution pattern of land cover networks.

scholarly journals KEANEKARAGAMAN JENIS VEGETASI MANGROVE DI DESA DUSUN BESAR KECAMATAN PULAU MAYA KABUPATEN KAYONG UTARA

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Cici Khairunnisa ◽  
Eddy Thamrin ◽  
Hari Prayogo
Keyword(s):  
Species Diversity ◽  
Mangrove Forest ◽  
Avicennia Marina ◽  
Forest Vegetation ◽  
Forest Area ◽  
Tree Level ◽  
Importance Value Index ◽  
Importance Value ◽  
Mangrove Vegetation ◽  
Vegetation Species

The diversity of mangrove vegetation is a community that has different characteristics from other communities. Diversity is an important component in mangrove management, but so far the availability of data related to mangroves is still very minimal, including those related to the species diversity of mangrove forest vegetation in the region. This study aims to obtain data on species diversity of vegetation found in the mangrove forest area of Dusun Besar Village, Pulau Maya District, Kayong Utara Regency. Method used was a combination of path and plot method, and the determination of the location and research path location were carried out using purposive sampling. The results of observation and data analysis showed that the dominant vegetation species with the highest importance value index (INP) for seedlings, saplings and trees was the Avicennia marina, namely the INP value of seedlings 37.04%, the INP values of sapling 65.24%, and the value of INP a tree rate of 65. Based on the results of the most dominant analysis found the species of  Avicennia marina with a value of C = 0.03430 for seedling, C = 0.04729 for sapling, and C = 0.04736 for tree level. The diversity of mangrove forest vegetation species in Dusun Besar Village for seedlings, saplings and trees is low because it has an H 'value <1, and the abundance of mangrove vegetation species was not evenly distributed in each forest area because it only has an e value <1.Keywords: Dusun Besar Village, Mangrove Forest, Species Diversity

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