scholarly journals PERUBAHAN LUAS TUTUPAN LAHAN PADA AREAL HUTAN LINDUNG GUNUNG SIRIMAU KOTA AMBON

2021 ◽  
Vol 5 (1) ◽  
pp. 68-77
Author(s):  
Ian Komul ◽  
Merlin Renny Sitanala
Keyword(s):  
Satellite Imagery ◽  
Supervised Classification ◽  
Forest Cover ◽  
Agricultural Land ◽  
Forest Monitoring ◽  
Primary Data ◽  
Digital Analysis ◽  
Analysis Method ◽  
Residential Areas ◽  
Annual Increase

The purpose of this research was to determine changes in forest cover of Mount Sirimau Protected Forest in Ambon City which have been analyzed since 1990, 2000, 2006, 2011 and 2015. This research was conducted using analytical methods where satellite imagery of 5 different years in 1990, 2000 and 2006 recording years, 2011 and 2015 were interpreted digitally through supervised classification. After the interpretation, the mapping was carried out using ArGIS to analyze changes in forest cover. It is supported by the data from the Forest Monitoring Center of Ambon Area IX that had been obtained using ArGIS into primary data. The data were analyzed by using the digital analysis method or the maximum opportunity method. The results showed changes in land cover in 2000, 2006 and 2011 from areas of forest become agricultural land and in 2015 the area of agricultural land was changed into settlements areas. The augmentation of non-forest areas (Settlements) along the Toisapu hamlet and Soya villages up to 2015 for residential areas has reached 16,997 Ha with an average annual increase of 70.59 km2.

scholarly journals Pakistan�s Timberline Forest Ecosystem Dynamics vis-a-vis Changing Climate Across Three Provinces (KPK, AJK and GB) Using GIS/RS Techniques

2020 ◽  
Vol 71 (5) ◽  
pp. 86-98
Author(s):  
Tariq Mahmood ◽  
Sarwat Naz Mirza ◽  
Saeed Gulzar ◽  
Mohammad Hanif
Keyword(s):  
Supervised Classification ◽  
Forest Cover ◽  
Temporal Dynamics ◽  
Climatic Factors ◽  
Ecosystem Dynamics ◽  
Primary Data ◽  
Climate Change Scenarios ◽  
Visual Interpretation ◽  
Classification Technique ◽  
Anthropogenic Threats

World`s forests have always been under anthropogenic threats leading to instantaneous and sound supervision using satellite-based data collecting capabilities through GIS/RS. Timber line in Pakistan consists of sub-alpine forests and alpine pastures of KPK, AJK and GB. Research findings showed that earth`s climate was changing rapidly than previously assumed, demanding the spatio-temporal dynamics analysis using GIS/RS techniques in prevalent climate change scenarios. Two separate methods were used; 1) Visual Interpretation of Supervised Classification Technique for AJK & GB and 2) object Oriented Classification of Supervised Classification Technique for KPK. The primary data for T (max), T (min) & Ppt. (1980-2013) was taken from PMD, Islamabad. Province wise data showed 15 % change in forest cover area for timber line in both KPK (142780 Ha) & AJK (24990 Ha), followed by GB (39267 Ha) as13 % across 2005-2014. The results calculated that the average upward shift in timberline was highest in KPK (285 m), followed by AJK (233 m) and GB (170m) across 2005-2014.The data also showed change in avg. T (max) was 3.4�, -1.8� and 0.6� C, avg. T (min) was -2�, -1.5� and -2� C while change in total precipitation was 88.5, -3.7 and 75.5 mm for AJK, GB and KPK respectively. The Pearson`s Correlation Co-efficient chart concluded that climatic factors showed a strong and positive correlation among themselves as well as with change in elevation. However, the correlation among climatic factors and change in forest cover area was weak concluding deforestation to be exclusively an anthropogenic phenomena. Change in elevation showed a weak and negative correlation with change in area while all other correlations were non-significant.

Analysis of Flood Damage Assessment through WorldView-2, Quick Bird and Multispectral Satellite Imagery in Southern Punjab, Pakistan

2019 ◽  
Author(s):  
Muneeb Aamir ◽  
Syed Amer Mahmood ◽  
Farzeen Riaz ◽  
Nida Farooq ◽  
Rabia Rasheed ◽  
...  
Keyword(s):  
Satellite Imagery ◽  
Damage Assessment ◽  
Supervised Classification ◽  
Agricultural Land ◽  
Research Area ◽  
Flood Damage ◽  
Flood Mapping ◽  
Gis Techniques ◽  
Rs And Gis ◽  
Multispectral Satellite Imagery

Pakistan has faced numerous natural disasters like floods, earthquakes, landslides and environmental degradation which severely affects the Pakistan’s economy and results in various problems like causalities, diseases, water stress and severe damages (e.g., houses, public infrastructure and agricultural land erosion). There is a lack of systematic approaches to analyze pre and post damage assessment for estimation of exact loses and the total cost for rehabilitation of damaged infrastructure in an efficient way. There exist a variety of mechanisms but GIS based flood mapping is considered the most efficient to manage the flood situation. This study is focused on evaluation of flood affected areas especially in Punjab using WorldView-2, 8-band multi-spectral imagery by applying Remote Sensing (RS) and GIS techniques. The research area is comprised of Kot Addu and Muzaffargarh Districts in Punjab province of Pakistan that faced a catastrophic super flood of 2010. The WorldView-2, Quick Bird and multispectral satellite imagery are capable of making better decisions and assessment of flood effected area accurately. RS and GIS techniques can achieve the objectives and significant analyses through visual interpretations. These techniques are also used to identify the flood affected regions. The study site was examined by applying supervised classification on the basis of the training areas which were obtained during the field surveys in the study site. Supervised classification determines that 16900.96 Hectors of agriculture land was damaged while Sparse Riverine Forest had the area 44.52 hectors. The damaged built-up area was 1805.78 Hectors. RS and GIS techniques are efficient for flood mapping.

scholarly journals POTENTIALS AND CHARACTERISTICS OF LANDSAT IMAGERY IN RELATION TO LAND USE /COVER IN OKITIPUPA METROPOLIS, ONDO STATE, NIGERIA

2020 ◽  
Vol 19 (1) ◽  
pp. 150-158
Author(s):  
A. O. TOBORE ◽  
G. OYERINDE ◽  
B. A. SENJOBI ◽  
T. O. OGUNDIYI
Keyword(s):  
Land Use ◽  
Satellite Imagery ◽  
Supervised Classification ◽  
Vegetation Index ◽  
Forest Cover ◽  
Landsat Imagery ◽  
Land Use Changes ◽  
Aerial Photographs ◽  
The Past ◽  
Landsat Satellite

Landsat satellite imagery plays a crucial role in providing information on land use/cover modifications on local, regional, and global scales, especially where aerial photographs are missing. Monitoring land-use changes from past to present tends to be time-consuming especially when dealing with ground-truth information. Determining the past and current land-use change on Earth's surface using Landsat imagery tends to be effective and efficient when high-resolution imagery is unavailable. This study employed the use of Landsat satellite imagery to assess the past and present land use/cover using supervised classification and Normalized Difference Vegetation Index (NDVI). The result of the supervised classification land use/cover showed that forest cover and woodland undergo rapid loss, while farmland, wetland, built-up, and waterbodies tend to experience gradual loss. The NDVI demonstrated that farmland and forest cover was the most affected land use/cover. Hence, land use/cover of the study area is affected by human activities, such as intensive farming, population size, and deforestation.  

scholarly journals Identifying Biases in Global Tree Cover Products: A Case Study in Costa Rica

Forests ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 853 ◽  
Author(s):  
Daniel Cunningham ◽  
Paul Cunningham ◽  
Matthew E. Fagan
Keyword(s):  
Costa Rica ◽  
Land Cover ◽  
Forest Cover ◽  
Agricultural Land ◽  
Forest Monitoring ◽  
Tree Cover ◽  
Agricultural Fields ◽  
Tropical Country ◽  
Row Crops ◽  
Regional Forest

Global tree cover products are widely used in analyses of deforestation, fragmentation, and connectivity, but are rarely critically assessed. Inaccuracies in these products could have consequences for future decision making, especially in data-poor regions like the tropics. In this study, potential biases in global and regional tree cover products were assessed across a diverse tropical country, Costa Rica. Two global tree cover products and one regional national forest cover map were evaluated along biophysical gradients in elevation, precipitation, and agricultural land cover. To quantify product accuracy and bias, freely available high-resolution imagery was used to validate tree and land cover across these gradients. Although the regional forest cover map was comparable in accuracy to a widely-used global forest map (the Global Forest Change of Hansen et al., also known as the GFC), another global forest map (derived from a cropland dataset) had the highest accuracy. Both global and regional forest cover products showed small to severe biases along biophysical gradients. Unlike the regional map, the global GFC map strongly underestimated tree cover (>10% difference) below 189 mm of precipitation and at elevations above 2000 m, with a larger bias for precipitation. All map products misclassified agricultural fields as forest, but the GFC product particularly misclassified row crops and perennial erect crops (banana, oil palm, and coffee), with maximum tree cover in agricultural fields of 89%–100% across all crops. Our analysis calls into further question the utility of the GFC product for global forest monitoring outside humid regions, indicating that, in tropical regions, the GFC product is most accurate in areas with high, aseasonal rainfall, low relief, and low cropland area. Given that forest product errors are spatially distributed along biophysical gradients, researchers should account for these spatial biases when attempting to analyze or generate forest map products.

scholarly journals RAGAM PENDAPATAN RUMAH TANGGA DAN FAKTOR YANG MEMPENGARUHI: Studi kasus di Desa-Desa Sekitar Kawasan Taman Nasional Kerinci Seblat (TNKS) Kabupaten Lebong Provinsi Bengkulu

2014 ◽  
Vol 13 (2) ◽  
pp. 177-186
Author(s):  
Nola Windirah ◽  
Ketut Sukiyono ◽  
Septri Widiono
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Household Income ◽  
Agricultural Land ◽  
T Test ◽  
Primary Data ◽  
Analysis Method ◽  
Land Area ◽  
Determinant Factors ◽  
The Family

This research is aimed at exploring level of household income diversity based on agricultural land typology and examining factors that affect household income diversity in villages around TNKS, Regency of Lebong, Province of Bengkulu. This research uses secondary and primary data. Respondents of this research were determined randomly as much as 400 respondents in 20 villages. Analysis method diversity used are F test and t test to infestigate the differences of household income and multiple linear regression to examining the factors that affect the diversity of household income by applying and developing Minot. et al (2006) model. Result of this research showed that there are differences of household income diversity agricultural land typology, eventhing the existing  are not significant among typologies and the factors that affect the household income diversity are education of the head of the family, agricultural land area, and amount of main income household.Keywords: household income diversity, Determinant Factors, TNKS

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI TAX COMPLIANCE TERHADAP PENYAMPAIAN SPT TAHUNAN WAJIB PAJAK ORANG PRIBADI

2019 ◽  
Vol 3 (2) ◽  
pp. 19
Author(s):  
Mela Cyntia Sani ◽  
Khuznatul Zulfa Wafirotin ◽  
Ika Farida Ulfa
Keyword(s):  
Behavioral Control ◽  
Linear Regression Analysis ◽  
Tax Compliance ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Analysis Method ◽  
Online Systems ◽  
Tax Returns ◽  
Directorate General ◽  
The Government

Individual Taxpayers (WPOP) experience problems every year due to difficulties in filling out SPT. The Directorate General of Taxes issued a new policy in providing easy Notification Services (SPT) using online systems namely e-Filling and e-SPT. The policy taken by the government turned out that there were still many obstacles faced by the KPP Pratama Ponorogo Tax Office regarding ponorogo's lack of understanding related to filling out SPT manually or online using e-SPT and e-Felling. So that this certainly can make taxpayers object to the submission of Annual Tax Returns, especially in terms of calculating the tax payable which must be calculated on its own. Data collection is done by using primary data in the form of questionnaires. The samples processed in this study were 100 respondents who were distributed to individual taxpayers registered at KPP Pratama Ponorogo. Data analysis method uses validity test and reliability test, hypothesis testing using multiple linear regression analysis. The results of this study indicate that the awareness of taxpayers, taxpayer intentions, taxpayer attitudes, subjective norms, behavioral control and ease of tax return filling process affect Tax Compliance (tax compliance) submission of Annual Tax Returns. This is because taxpayers know, understand and implement taxation provisions correctly and voluntarily so as to increase taxpayer compliance in fulfilling their obligations and are willing to report taxes with their own awareness.

KINERJA PROSES PELELANGAN IKAN DI PASAR ARUMBAI KOTA AMBON

2017 ◽  
Vol 1 (2) ◽  
pp. 58-66
Author(s):  
Frendly Matulessy ◽  
Dionisius Bawole
Keyword(s):  
Performance Analysis ◽  
Gap Analysis ◽  
Primary Data ◽  
Satisfaction Level ◽  
Questionnaire Data ◽  
Analysis Method ◽  
Value For Money ◽  
Qualitative Descriptive ◽  
Market Needs ◽  
Descriptive Method

This study aims to measure the performance of fish auction process in Arumbai Market in Ambon. Primary data were collected from 43 respondents through observation and direct interview based on questionnaire. Data was analysed by qualitative descriptive method, importance performance analysis method (IPA) and gap analysis, and value for money method. The results show that: 1). There are three auction process activities namely pre auction, auction, and post auction; 2). Fisherman's satisfaction level is 67% and merchant satisfaction is 81%; and 3). The auction performance of the economic aspect is less economical, with the final value of 83%, while the fish auction performance from the efficiency aspect is less efficient with the value of 76%. For that, it needs additional officers to manage fish auction place (TPI) in Arumbai Market. In addition, the fish auction facilities (TPI) in Arumbai Market needs to be improved.

PENGARUH KUALITAS PRODUK DAN KUALITAS LAYANAN TERHADAP KEPUASAN PELANGGAN

2017 ◽  
Vol 5 (3) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Nirmala Putri Sari
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Product Quality ◽  
Sampling Method ◽  
Primary Data ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
The City

The aim of this study was to analize the effects of product quality and service quality on the customer satisfaction. This study took place in the City of Bekasi and objects in this study are all customer who use the Matrass GM-9000. Primary data was obtained from customers of Matrass GM-9000 in Bekasi City through admission filling of questionnaire by using scale of Likert. The respondent of this study was chosen through accidental sampling method, and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that product quality and service quality positively and significant influenced the customer satisfaction

PENGARUH KUALITAS LAYANAN DAN CITRA PERUSAHAAN TERHADAP KEPUASAN NASABAH

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Elza Finnora
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Services Quality ◽  
Corporate Image ◽  
Primary Data ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Data Analysis Method

The aim of this study was to analize the influence of services quality and corporate image on the satisfaction of customers. Primary data was obtained from customers of Standard Chartered Bank through admission filling of questionnaire by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that services quality and corporate image positively and significant influenced the satisfaction of customers. The conclution of this study is that services quality was dominant than corporate image in influencing the satisfaction of customers.

Implication of Socio-economic Factors on Land Use and Forest Cover Changes in and Around Magamba Nature Reserve in Tanzania

2019 ◽  
Vol 5 (1) ◽  
pp. 108-117
Author(s):  
Solomon Jeremiah Sembosi
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Nature Reserve ◽  
Agricultural Land ◽  
Population Pressure ◽  
Economic Factors ◽  
Rural Settlements ◽  
Mountainous Regions ◽  
Use Of Resources ◽  
Socio Economic Factors

Rural settlements in mountainous regions are a typical process that occurs in many places around the world and have a number of implications on the landscape. Among them is a threat it possesses to the conservation and management of Afromontane ecosystems. This study assessed the socio-economic factors that drive the changes in land use and forest cover and the extent of land use and vegetation cover in and around Magamba Nature Reserve. Focus group discussion, direct field observation and household survey were used to acquire socio-economic information that impacts land use and forest cover. Through the use of Remote Sensing and GIS methods Landsat satellite images of 1995, 2008 and 2015 were employed to identify the extent of the changes in land use and forest cover. The perceived factors for the changes include education level, unemployment, landless/limited, landholding, population pressure, expansion of built-up areas and agricultural land at the expense of other land covers. This study revealed the transformation of natural forest and associated vegetation from one form to another. There was a decrease in natural vegetation from 61.06% in 1995 to 26.02% in 2015 and increase in built-up areas by 6.69% and agricultural areas by 4.70%. This study recommends conservation monitoring and strong law enforcement relating to natural resources so as to promote sustainable use of resources to rescue the diminishing ecosystem services.

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