Assessment of Land Cover Changes in the Hinterland of Barranquilla (Colombia) Using Landsat Imagery and Logistic Regression

Barranquilla is known as a dynamically growing city in the Colombian Caribbean. Urbanisation induces land use and land cover (LULC) changes in the city and its hinterland affecting the region’s climate and biodiversity. This paper aims to identify the trends of land use and land cover changes in the hinterland of Barranquilla corresponding to 13 municipalities in the north of the Department Atlántico. Landsat TM/ETM/OLI imagery from 1985 to 2017 was used to map and analyse the spatio-temporal development of land use and land cover changes. During the investigation period, the settlement areas grew by approximately 50% (from 103.3 to 153.6 km2), while areas with woody vegetation cover experienced dynamic changes and increased in size since 2001. Peri-urban and rural areas were characterized by highly dynamic changes, particularly regarding clearing and recovery of vegetated areas. Regression analyses were performed to identify the impact factors of detected vegetation cover changes. Computed logistic regression models included 20 independent variables, such as relief, climate, soil, proximity characteristics and socio-economic data. The results of this study may act as a basis to enable researchers and decision-makers to focus on the most important signals of systematic landscape transformations and on the conservation of ecosystems and the services they provide.

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A Land Cover Changes Model Based on Carbon Stock in the Mount Patah Region of, Bengkulu-Indonesia

Regular issue - International Journal of Management and Humanities ◽

10.35940/ijmh.h0827.054920 ◽

2020 ◽

Vol 4 (9) ◽

pp. 1-5

Keyword(s):

Land Use ◽

Information System ◽

Land Cover ◽

Forest Inventory ◽

Carbon Stock ◽

Forest Cover ◽

Landsat Imagery ◽

Land Cover Changes ◽

Land Area ◽

Reduced Data

Forest cover in Bengkulu is reduced. Data from WARSI shows, 1990 forest cover areas in the province are approximately 1,009,209 hectares or 50.4 % of the land area reaching 1,979,515 hectares. But now, it is only 685,762 hectares of the area of his blood. That is, the period of 25 years, there is a forest cover decline of 323,447 hectares. Forest and land cover changes are the largest contributor to greenhouse gas emissions. The purpose of this article is to see land cover changes based on carbon stock in the years 2009 and 2018. Model of land cover change based on carbon stock year 2028 and 2038. The method of this research uses the calculation of the Stock Difference Approach with spatial analysis of national land closure of Landsat imagery 2009-2018 and biomass data for forest inventory results Geographic Information System (GIS). The results of this research were the reduced forest area and the change in land use changed from 2009 and 2018. So carbon stock is also increasingly reduced.

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Analysis of land use/land cover change in Adei watershed, Central Highlands of Ethiopia

Journal of Water and Land Development ◽

10.2478/jwld-2019-0038 ◽

2019 ◽

Vol 41 (1) ◽

pp. 146-153 ◽

Cited By ~ 4

Author(s):

Megersa Olumana Dinka ◽

Degefa Dhuga Chaka

Keyword(s):

Land Use ◽

Land Cover ◽

Supervised Classification ◽

Landsat Imagery ◽

Land Cover Changes ◽

Land Use Land Cover ◽

Post Processing ◽

Ancillary Data ◽

The Stability ◽

Land Cover Maps

Abstract Land use/land cover changes (LULCC) at Adei watershed (Ethiopia) over a period of 23 years (1986–2009) has been analysed from LANDSAT imagery and ancillary data. The patterns (magnitude and direction) of LULCC were quantified and the final land use/land cover maps were produced after a supervised classification with appropriate post-processing. Image analysis results revealed that the study area has undergone substantial LULCC, primarily a shift from natural cover into managed agro-systems, which is apparently attributed to the increasing both human and livestock pressure. Over the 23 years, the aerial coverage of forest and grass lands declined by 8.5% and 4.3%, respectively. On the other hand, agricultural and shrub lands expanded by 9.1% and 3.7%, respectively. This shows that most of the previously covered by forest and grass lands are mostly shifted to the rapidly expanding farm land use classes. The findings of this study suggested that the rate of LULCC over the study period, particularly deforestation due to the expansion of farmland need to be given due attention to maintain the stability and sustainability of the ecosystem.

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The Impact of Land Use/Land Cover Changes on Land Degradation Dynamics: A Mediterranean Case Study

Environmental Management ◽

10.1007/s00267-012-9831-8 ◽

2012 ◽

Vol 49 (5) ◽

pp. 980-989 ◽

Cited By ~ 109

Author(s):

S. Bajocco ◽

A. De Angelis ◽

L. Perini ◽

A. Ferrara ◽

L. Salvati

Keyword(s):

Land Use ◽

Land Cover ◽

Land Degradation ◽

Land Cover Changes ◽

Land Use Land Cover ◽

The Impact

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Investigating the impact of climate and land-use land cover changes on hydrological predictions over the Krishna river basin under present and future scenarios

The Science of The Total Environment ◽

10.1016/j.scitotenv.2020.137736 ◽

2020 ◽

Vol 721 ◽

pp. 137736 ◽

Cited By ~ 4

Author(s):

Tirupathi Chanapathi ◽

Shashidhar Thatikonda

Keyword(s):

Land Use ◽

Land Cover ◽

River Basin ◽

Land Cover Changes ◽

Future Scenarios ◽

Land Use Land Cover ◽

The Impact

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Representation of fire, land-use change and vegetation dynamics in the Joint UK Land Environment Simulator vn4.9 (JULES)

Geoscientific Model Development ◽

10.5194/gmd-12-179-2019 ◽

2019 ◽

Vol 12 (1) ◽

pp. 179-193 ◽

Cited By ~ 11

Author(s):

Chantelle Burton ◽

Richard Betts ◽

Manoel Cardoso ◽

Ted R. Feldpausch ◽

Anna Harper ◽

...

Keyword(s):

Land Use ◽

Land Use Change ◽

Land Cover ◽

Vegetation Cover ◽

Land Surface ◽

Vegetation Dynamics ◽

Fire Disturbance ◽

Substantial Contribution ◽

Surface Model ◽

The Impact

Abstract. Disturbance of vegetation is a critical component of land cover, but is generally poorly constrained in land surface and carbon cycle models. In particular, land-use change and fire can be treated as large-scale disturbances without full representation of their underlying complexities and interactions. Here we describe developments to the land surface model JULES (Joint UK Land Environment Simulator) to represent land-use change and fire as distinct processes which interact with simulated vegetation dynamics. We couple the fire model INFERNO (INteractive Fire and Emission algoRithm for Natural envirOnments) to dynamic vegetation within JULES and use the HYDE (History Database of the Global Environment) land cover dataset to analyse the impact of land-use change on the simulation of present day vegetation. We evaluate the inclusion of land use and fire disturbance against standard benchmarks. Using the Manhattan metric, results show improved simulation of vegetation cover across all observed datasets. Overall, disturbance improves the simulation of vegetation cover by 35 % compared to vegetation continuous field (VCF) observations from MODIS and 13 % compared to the Climate Change Initiative (CCI) from the ESA. Biases in grass extent are reduced from −66 % to 13 %. Total woody cover improves by 55 % compared to VCF and 20 % compared to CCI from a reduction in forest extent in the tropics, although simulated tree cover is now too sparse in some areas. Explicitly modelling fire and land use generally decreases tree and shrub cover and increases grasses. The results show that the disturbances provide important contributions to the realistic modelling of vegetation on a global scale, although in some areas fire and land use together result in too much disturbance. This work provides a substantial contribution towards representing the full complexity and interactions between land-use change and fire that could be used in Earth system models.

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