Assessing land use and land cover changes and Effects of Large-scale Agricultural Farm Expansion in Southwester Ethiopia by using remote sensing/GIS tools.

Mapping Intimacies ◽

10.21203/rs.3.rs-93906/v1 ◽

2020 ◽

Author(s):

Getaneh Haile Shoddo

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Large Scale ◽

Agricultural Land ◽

Driving Forces ◽

Land Cover Changes ◽

Gis Tools ◽

Market Factors ◽

Agricultural Land Expansion

Abstract Development initiatives like the recent increase in large-scale investment agriculture have made a significant impact on the forest. In the name of development, the land is often given to investors often in long-term leases and at bargain prices. Research on deforestation has been mostly restricted to poverty and population growth as the driving forces for tropical deforestation; however, explanations emphasizing market factors such as increases in large-scale investment agriculture as a cause of deforestation have only been carried out in a small number of areas. The aim of this study is to explore the effects of agricultural land expansion in changing land use and land use cover changes using remote sensing/GIS tools in Sheka zone southwester Ethiopia from 1995 to 2015. The results showed that expansion of investment agriculture has a clear impact on both the local people and the forest ecosystem. The conversion of forestland to investment agriculture has caused varied and extensive environmental degradation to the Sheka forest. The Land Use and Land Cover changes in the Sheka zone are discussed based on underlying socioeconomic factors.

Download Full-text

Land Use and Land Cover Change Detection and Prediction in the Kathmandu District of Nepal Using Remote Sensing and GIS

Sustainability ◽

10.3390/su12093925 ◽

2020 ◽

Vol 12 (9) ◽

pp. 3925 ◽

Cited By ~ 2

Author(s):

Sonam Wangyel Wang ◽

Belay Manjur Gebru ◽

Munkhnasan Lamchin ◽

Rijan Bhakta Kayastha ◽

Woo-Kyun Lee

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Land Cover Change ◽

Agricultural Land ◽

Water Bodies ◽

Geographical Information ◽

Land Cover Changes ◽

Rapid Urbanization ◽

Urbanized Areas

Understanding land use and land cover changes has become a necessity in managing and monitoring natural resources and development especially urban planning. Remote sensing and geographical information systems are proven tools for assessing land use and land cover changes that help planners to advance sustainability. Our study used remote sensing and geographical information system to detect and predict land use and land cover changes in one of the world’s most vulnerable and rapidly growing city of Kathmandu in Nepal. We found that over a period of 20 years (from 1990 to 2010), the Kathmandu district has lost 9.28% of its forests, 9.80% of its agricultural land and 77% of its water bodies. Significant amounts of these losses have been absorbed by the expanding urbanized areas, which has gained 52.47% of land. Predictions of land use and land cover change trends for 2030 show worsening trends with forest, agriculture and water bodies to decrease by an additional 14.43%, 16.67% and 25.83%, respectively. The highest gain in 2030 is predicted for urbanized areas at 18.55%. Rapid urbanization—coupled with lack of proper planning and high rural-urban migration—is the key driver of these changes. These changes are associated with loss of ecosystem services which will negatively impact human wellbeing in the city. We recommend city planners to mainstream ecosystem-based adaptation and mitigation into urban plans supported by strong policy and funds.

Download Full-text

Application of Remote Sensing and GIS to Detect Land Use and Land Cover Changes in Jos East Local Government Area, Plateau State, Nigeria.

BOKKOS JOURNAL OF APPLIED SCIENTIFIC REPORTS ◽

10.47452/bjasrep.v1i1.15 ◽

2021 ◽

Vol 1 (1) ◽

pp. 1-8

Author(s):

Solomon Wuyep zitta

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Agricultural Land ◽

Digital Camera ◽

Land Cover Changes ◽

Remotely Sensed Data ◽

Plateau State ◽

Ground Truthing ◽

Land Management System

This study examines the potentials of Remote Sensing techniques and GIS in land resources management with particular reference to detect land use and land cover changes in Jos East L.G.A, between 1995 to 2015. In this study, administrative maps, remotely sensed data (Landsat and Nigeriasat-1 satellite imageries) and GIS techniques were used in the image analysis. All these were done using Ilwis 3.3 Academic, ERDAS 9.3, IDIRISI 17.0 and ArcGIS 10.1. Digital camera was also used for ground truthing. The results were presented using classified imageries. Between the years 1995 to 2015, there was consistent change in the land use land cover of Jos east with different LULC categories. Throughout the study years, vegetation was observed to have the highest percentage of the total land coverage with 57544.28 ha (63%) in 1995, decreasing to 50322.96 ha (50%) in 2005, and 34969.95 (39%) in the year 2015. While agricultural/farm land was gradually increasing throughout the study period with 21271.05 ha (23%) in 1995, 27017.37 ha (27%) in 2005 and 25406.19 ha (28%) in 2015. Findings also showed that build-up-areas/settlement development increased consistently from 1451.97ha (2%) in 1995, 3290.49 ha (3%) in 2005 to 5817.96 (6%) in 2015. It was concluded that agriculture in the study area is increasing while large areas of vegetation is drastically reducing and being converted to farmlands and settlements. It is recommended that government should put up a reliable land management system in form of restrictions on premature conversion of agricultural land, there should be policies that control threat to the vegetation cover. Government should take cognizance of the land use and land cover at a regular interval to ascertain the changes that are taking place in the study area.

Download Full-text

Spatio-temporal comparison of different approaches to derive land use and land cover change emissions by models

10.5194/egusphere-egu21-9837 ◽

2021 ◽

Author(s):

Wolfgang Obermeier ◽

Keyword(s):

Land Use ◽

Land Cover ◽

Large Scale ◽

Agricultural Land ◽

Land Cover Changes ◽

Legacy Effects ◽

Equatorial Africa ◽

The Usa ◽

Spatio Temporal ◽

Global Carbon

The quantification of the net carbon flux from land use and land cover changes (fLULCC) is essential to understand the global carbon cycle, and consequently, to support climate change mitigation. However, large-scale fLULCC is not directly measurable, and can only be inferred by models, such as semi-empirical bookkeeping models, and process-based dynamic global vegetation models (DGVMs). By definition, fLULCC estimates between these two model types are not directly comparable. For example, transient DGVM-based fLULCC of the annual global carbon budget includes the so-called Loss of Additional Sink Capacity (LASC). The latter accounts for environmental impacts on the land carbon storage capacities of managed land compared to potential vegetation which is not included in bookkeeping models. Additionally, estimates of transient DGVM-based fLULCC differ from bookkeeping model estimates, since they depend on arbitrarily chosen simulation time periods and the timing of land use and land cover changes within the historic period (which includes different accumulation periods for legacy effects). However, DGVMs enable a fLULCC approximation independent of the timing of land use and land cover changes and their legacy effects by simulations run under constant pre-industrial or present-day environmental forcings.In this study, we analyze these different DGVM-derived fLULCC definitions, under transiently changing environmental conditions and fixed pre-industrial and fixed present-day conditions, within 18 regions for twelve DGVMs and quantify their differences as well as climate- and CO2-induced components. The multi model mean under transient conditions reveals a global fLULCC of 2.0&#177;0.6 PgC yr-1 for 2009-2018, with ~40% stemming from the LASC (0.8&#177;0.3 PgC yr-1). Within the industrial period (1850 onward), cumulative fLULCC reached 189&#177;56 PgC with 40&#177;15 PgC from the LASC.Regional hotspots of high LASC values exist in the USA, China, Brazil, Equatorial Africa and Southeast Asia, which we mainly relate to deforestation for cropland. Distinct negative LASC estimates were observed in Europe (early reforestation) and from 2000 onward in the Ukraine (recultivation of post-Soviet abandoned agricultural land). Negative LASC estimates indicate that fLULCC estimates in these regions are lower in transient DGVM simulations compared to bookkeeping-approaches. By unraveling the spatio-temporal variability of the different DGVM-derived fLULCC estimates, our study calls for a harmonized attribution of model-derived fLULCC. We propose an approach that bridges bookkeeping and DGVM approaches for fLULCC estimation by adopting a mean DGVM-ensemble LASC for a defined reference period.

Download Full-text

Analysis of Land Use Land Cover Changes Using Remote Sensing Data and Geographical Information Systems (GIS) at an Urban Set up of Damaturu, Nigeria

Journal of Science and Technology ◽

10.30880/jst.2020.12.02.003 ◽

2020 ◽

Vol 12 (2) ◽

Author(s):

Karagama Kolo Geidam ◽

◽

Nor Aizam Adnan ◽

Baba Alhaji Umar ◽

◽

...

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Land Cover Change ◽

Agricultural Land ◽

Research Work ◽

Ground Truth ◽

Geographical Information ◽

Land Cover Changes ◽

Land Use Land Cover

Change detection is useful in many applications related to land use and land cover change (LULCC), such as shifting cultivation and landscape changes. Land degradation and desertification. Remote sensing technology has been used for the detection of the changes in land use land cover in Damaturu town Nigeria. The main objectives of this research is to derive the land use/cover change map of Damaturu town from 1986 to 2017 and to quantify land use/ land cover change in the study area. Methodology employed while carry the research includes three satellites images for the year 1986, 1998 and 2017 were downloaded from USGS websites and used for detecting the land cover changes. Ground truth points were collected using google images and used for verification of image classifications. The accuracy of images classification was checked using ground truth point which showed the overall accuracy of 84.6% and a kappa coefficient of 0.89 which indicated that the method of classification was accurate. In the process of the research work, an increased was recorded in the built-up area which rose from 7.2% to 22.0%, open space increased from 10.8 to 22.8%, vegetation from 4.0% to 9.7%, water bodies from 0.0% to 0.1% while agricultural land decreased from 78% to 45.4% due to increase in interest of building as a result of the expansion of the town. The study arrived at the conclusion that there has been a significant land use change due to increase in population and development interest in built up areas which resulted in increased of amount of agricultural land being converted to build up areas over the period of 31 years.

Download Full-text

Land Use/Land Cover Change and Its Driving Forces in Shenkolla Watershed, South Central Ethiopia

The Scientific World JOURNAL ◽

10.1155/2021/9470918 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Belayneh Bufebo ◽

Eyasu Elias

Keyword(s):

Land Use ◽

Land Use Change ◽

Land Cover ◽

Agricultural Land ◽

Driving Forces ◽

Land Cover Changes ◽

Land Use Land Cover ◽

Forest Land ◽

Central Ethiopia ◽

South Central

Land use change is one of the challenges that aggravate environmental problems. Understanding the scope of land use change, driving forces, and consequences is very crucial for proper management of land resources. We investigated land use/land cover changes using remote sensing data (for the years 1973, 1995, and 2017), and field observation, household survey, key informant interview, and focus group discussion were used to determine the drivers and consequences of land use/land cover changes in Shenkolla watershed, south central Ethiopia. Unsupervised and supervised classification techniques were employed to get thematic information from satellite imagery. ArcGIS 10.3 and QGIS v 3.0 softwares were used to accomplish the analysis. The results disclosed that Shenkolla watershed has changed significantly during the past 4 decades between 1973 and 2017. This observed change indicates a reduction in forest land and an increase in agricultural land. Forest land was reduced from 29.51% in 1973 to 20.52% in 2017, but agricultural land was expanded from 70.49% in 1973 to 79.48% in 2017. Agricultural expansion, policy change and social unrest, population pressure, shortage of farm land, and biophysical factors were major driving forces of the LU/LC changes. Environmental implications such as climate change, biodiversity loss, scarcity of basic forest products, habitat alteration, decline in quality and availability of water, and crop yield reduction are the consequences of the LU/LC change. The expansion of agricultural land at the expense of forest cover in Shenkolla watershed has negative implications on the natural resources and the livelihood of local people. Hence, appropriate measures need to be employed to reduce the dramatic change in land use and to harmonize environmental conservation with human livelihood.

Download Full-text

Land use and land cover change analysis of District Charsadda, Pakistan along Kabul River in 2010 flood: using an advance geographic information system and remote sensing techniques

10.5194/nhess-2020-255 ◽

2020 ◽

Author(s):

Misbah Fida ◽

Irshad Hussain ◽

Wang Tao ◽

Abdur Rashid ◽

Syed Amir Ali Shah

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Water Body ◽

Agricultural Land ◽

Geographic Information ◽

Land Cover Changes ◽

Land Use Land Cover ◽

Remote Sensing Techniques ◽

Kabul River

Abstract. The objective of this research study was to quantify land use and land cover changes before and after the 2010 flood at District Charsadda, Pakistan. The land use and land cover changes were evaluated with the help of advanced geographic information systems (GIS) and remote sensing techniques (RST). Moreover, some remedial measures were taken to develop land use/land cover of the area to overcome future problems. Land use and land cover changes were measured by using satellite images. Two instances were compared, i.e. pre-flood and post-flood, to analyze the change in land use/land cover of District Charsadda within 5 Km along the Kabul River. Comparative analysis of pre and post-flood imageries shows drastic changes over the water body, built-up area, agriculture land, and bare land during flood instances. The study area is rural and agricultural land is dominant in the area. We evaluated the percentage of different land uses/land covers within our study area, as agricultural land was about 68.5 %, barren land was about 22.5 %, and the water body was 8.8 % before the flood. After inundation, the water body raised to 16.4 %, bare soil increased to 26.30 %, agriculture land degraded up to 57 %, and settlements (villages) along River Kabul were badly damaged and finished by this flood. Approximately, four villages of District Nowshera, six villages of District Peshawar, and twenty-seven villages of Charsadda District were badly damaged during the 2010 flood.

Download Full-text

CHANGE DETECTION IN LAND USE AND LAND COVER OF DISTRICT CHARSADDA PAKISTAN ALONG RIVER KABUL (2010 FLOOD): TAKING ADVANTAGE OF GEOGRAPHIC INFORMATION SYSTEM AND REMOTE SENSING

Geological Behavior ◽

10.26480/gbr.02.2021.40.46 ◽

2021 ◽

Vol 5 (2) ◽

pp. 40-46

Author(s):

Misbah Fida ◽

Irshad Hussain ◽

Abdur Rashid ◽

Syed Amir Ali Shah ◽

Sardar Khan

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Water Body ◽

Agricultural Land ◽

Geographic Information ◽

Land Cover Changes ◽

Barren Land ◽

Gis And Remote Sensing ◽

Kabul River

This study aims to quantify land use and land cover changes before and after the 2010 flood in district Charsadda, Pakistan. Advanced geographic information systems (GIS) and remote sensing techniques (RST) evaluate land use and land cover changes. The purpose of this research is to estimate and compare the pre-and post-flood changes and their influences on land use and land cover changes. Land use land cover data studies are important for sustainable management of natural resources; they are becoming increasingly important for assessing the environmental impacts of economic development. Moreover, some remedial measures are adopted to develop the area’s land cover to overcome future problems. Land use and land cover changes are measured using satellite images. Two instances, i.e., pre-flood and post-flood, are compared to analyze the change in land use and land cover of district Charsadda within 5 km along the Kabul River. Comparative analysis of pre-flood and post-flood imageries highlighted some drastic changes over the water body, built-up area, agricultural land, and bare land during flood instances. The study area is rural and agricultural land is dominant as compared to other land uses. We evaluated the percentage of different land use and land cover within our study area. The agricultural land found about 68.5%, barren land 22.5%, and the water body 8.8% before the flood. After inundation, the water body raised to 16.4%, bare soil increased to 26.3%, agricultural land degraded up to 57.0%, and settlements (villages) along the Kabul River were severely damaged and finished by this flood. 2010’s flood heavily damaged approximately four villages in district Nowshera, six in district Peshawar, and twenty-seven Charsadda District villages.

Download Full-text

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 ◽

10.3390/geosciences11080312 ◽

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.

Download Full-text