Comparing and Combining Landsat Satellite Imagery and Participatory Data to Assess Land-Use and Land-Cover Changes in a Coastal Village in Papua New Guinea

Human Ecology ◽  
2017 ◽  
Vol 45 (2) ◽  
pp. 251-264 ◽  
Author(s):  
Jamie D. Hoover ◽  
Stephen J. Leisz ◽  
Melinda E. Laituri
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Papua New Guinea ◽  
Satellite Imagery ◽  
New Guinea ◽  
Land Cover Changes ◽  
Landsat Satellite

scholarly journals Exploring Land use and Land cover change in the mining areas of Wa East District, Ghana using Satellite Imagery

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Prosper Laari Basommi ◽  
Qingfeng Guan ◽  
Dandan Cheng
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Geographical Information ◽  
Kappa Statistics ◽  
Image Differencing ◽  
Mining Areas ◽  
Land Cover Dynamics ◽  
Change Matrix ◽  
Landsat Satellite

AbstractSatellite imagery has been widely used to monitor the extent of environmental change in both mine and post mine areas. This study uses Remote sensing and Geographical Information System techniques for the assessment of land use/land cover dynamics of mine related areas in Wa East District of Ghana. Landsat satellite imageries of three different time periods, i.e., 1991, 2000 and 2014 were used to quantify the land use/cover changes in the area. Supervised Classification using Maximum Likelihood Technique in ERDAS was utilized. The images were categorized into five different classes: Open Savannah, Closed Savannah, Bare Areas, Settlement and Water. Image differencing method of change detection was used to investigate the changes. Normalized Differential Vegetative Index valueswere used to correlate the state of healthy vegetation. The image differencing showed a positive correlation to the changes in the Land use and Land cover classes. NDVI values reduced from 0.48 to 0.11. The land use change matrix also showed conversion of savannah areas into bare ground and settlement. Open and close savannah reduced from 50.80% to 36.5% and 27.80% to 22.67% respectively whiles bare land and settlement increased. Overall accuracy of classified 2014 image and kappa statistics was 83.20% and 0.761 respectively. The study revealed the declining nature of the vegetation and the significance of using satellite imagery. A higher resolution satellite Imagery is however needed to satisfactorily delineate mine areas from other bare areas in such Savannah zones.

scholarly journals A comparison and classification of land use land cover to estimate their effect on environment: case study in Baghdad city

2021 ◽  
Vol 2114 (1) ◽  
pp. 012017
Author(s):  
Bushra A. Ahmed ◽  
Ghaida S. Hadi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Image ◽  
Major Change ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Two Cities ◽  
Landsat Satellite

Abstract This study compared and classified of land use and land cover changes by using Remote Sensing (RS) and Geographic Information Systems (GIS) on two cities (Al-Saydiya city and Al-Hurriya) in Baghdad province, capital of Iraq. In this study, Landsat satellite image for 2020 were used for (Land Use/Land Cover) classification. The change in the size of the surface area of each class in the Al-Saydiya city and Al-Hurriya cities was also calculated to estimate their effect on environment. The major change identified, in the study, was in agricultural area in Al-Saydiya city compare with Al-Hurriya city in Baghdad province. The results of the research showed that the percentage of the green area from the total area in Al-Saydiya city is 34.95%, while in Al-Hurriya is 27.53%. Therefore, available results of land use and land cover changes can provide critical input to decision-making of environmental management and planning the future.

scholarly journals Change Detection of Land Use and Land Cover over a Period of 20 Years in Papua New Guinea

2016 ◽  
Vol 08 (03) ◽  
pp. 138-151 ◽  
Author(s):  
Sailesh Samanta ◽  
Dilip Kumar Pal
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Papua New Guinea ◽  
New Guinea

scholarly journals Examining temporal changes in relations between land uses and land use capabilities in south of sanliurfa plains

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Mehmet Ali Çelik ◽  
Ali Ekber Gülersoy
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Images ◽  
Accuracy Assessment ◽  
Land Cover Changes ◽  
Southern Plains ◽  
Kappa Value ◽  
Satellite Sensors ◽  
Landsat Satellite ◽  
Dry Farming

<p>Today, the Earth’s land pattern can be examined by the detectors on satellite sensors periodically and the variations on these patterns can be detected in a short while. Monitoring of land cover changes and planning these lands effectively are the important issues for economic and ecological sustainability. In this study, the land cover changes of Suruç, Akcakale, Ceylanpinar and Harran plains have been investigated between 1985 and 2016. Accordingly, we utilized Landsat satellite images for three different dates of their summer recordings. Satellite images were classified by the segmentation process and supervised classification through Maximum Likelihood technique. The land use maps obtained from the analysis consist of four classes: dry farming, irrigated farming, grassland and settlement. In addition, accuracy assessment has been implemented on each classified map in order to assess the degree of robustness of our analysis. According to our results, we obtain 85% of overall accuracy where the Kappa value is about 80%. Our results show that significant changes occurred in the land cover of southern plains of Sanliurfa. These changes occurred in the form of transforming dry farming areas to irrigated farming areas in Akcakale and Ceylanpinar whereas irrigated farming were transforming to dry farming in Suruc, during the period of 1985 to 2016. </p>

scholarly journals Mapping Land Use Land Cover Changes and Their Determinants in the Context of a Massive Free Labour Mobilisation Campaign: Evidence from South Wollo, Ethiopia

2021 ◽  
Vol 13 (24) ◽  
pp. 5078
Author(s):  
Bichaye Tesfaye ◽  
Monica Lengoiboni ◽  
Jaap Zevenbergen ◽  
Belay Simane
Keyword(s):  
Land Use ◽  
Food Security ◽  
Land Cover ◽  
Satellite Imagery ◽  
Land Management ◽  
Land Cover Changes ◽  
Landsat 8 ◽  
Northern Ethiopia ◽  
Land Use Land Cover ◽  
Bare Land

Northern Ethiopia is characterised by fragile mountain eco-systems that are highly susceptible to land degradation, impacting food security and livelihoods. This study appraises Land Use Land Cover Changes (LULCC) and their determinants from 2000 to 2020 in Dessie Zuria and Kutaber Woredas. It explores the LULCC and the key anthropogenic drivers of the change over the past 20 years through a mix of satellite imagery and a survey of local understandings. Six land use types (agriculture, forest, area closure, grazing, settlement and bare land) were mapped from satellite imagery that was acquired from Landsat 7 for the years 2000, 2005, and 2010, and Landsat 8 and OLI multispectral imageries for the years 2015 and 2020 with a spectral resolution of 30-m obtained from USGS. The results showed that agricultural land increased from 29.68% in 2000 to 35.77% in 2020.Furthermore, settlement and grazing lands enlarged from 5.95% and 6.04%, respectively, to 8.31% and 6.35% during the same period, while bare land increased from 9.89% to 10.92% in 2020. On the contrary, forest and area closure decreased from 18.45% and 29.99% to 17.8% and 17.38%, respectively. Meanwhile, population growth, unrestricted grazing, losing a sense of ownership of protected area closures and forests, lack of cooperation, using the free labour mobilisation schemes for government-induced agendas, weak enforcement of laws and bylaws, and engaging farmers for extended days on the campaign were prominent determinants of the changes. This research has implications for development actors across land management and food security towards implementing sustainable land management in the area and beyond.

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