Assessment of Land use and Land Cover Change using GIS and Remote Sensing Techniques around Metu District, South Western Ethiopia

Research areas:

Volume 11, Issue 3, May 2024

Year:

2024

Type of Publication:

Article

Keywords:

Land Use Land Cover Change, GIS and RS, Supervised Classification, Satellite Images

Authors:

Bezabih Adisu

Journal:

IJRIES

Volume:

Number:

Pages:

1-9

Month:

May

ISSN:

2394-1375

BibTex:

@article{244,
author = "Bezabih Adisu",
abstract = "The surface of the earth is undergoing rapid land use and land cover changes due to various socioeconomic   activities and natural phenomena. Land use and land cover changes that occurred from 2000 to 2020 in Metu area were monitored using remote sensing and geographic information system with field verifications. The objective of this study is to understand the dynamics of Land Use and Land Cover and analyze change detection around Metu area over a period of 21 years. Satellite images of Landsat 7 ETM+ and LANDSAT 8 ETM+ were used. All images were classified using object-based image classification technique. Accuracy assessments were conducted for each reference year. Four LULCs were successfully captured viz. Built up areas, water bodies, forests and croplands  with overall accuracies for 2000 and 2020 image classification accuracy were 61% and 80.7% and kappa coefficient were 0.5 and 0.8 respectively. Change detection analysis was performed to compare the quantities of land cover class conversions between time intervals. The results revealed both increase and decrease of the different LULC classes from 2000 through to 2020. Significant shifts from some classes to others were observed. The classification result revealed that forest cover (45.71%) and cropland (43.19%) were dominant LULC types in 2000. In 2020, cropland (53.02%) was the major LULC types followed by forest cover (28.36%); buildup area (15.78%) and water body (2.84%). The change result shows that a significant conversions from one land cover category to another within the same period. There were significant conversions from forest cover to crop land (40.5%), crop lands to build up area (17.6%). Drivers of the observed changes may be due to natural phenomena and socio-economic activities. Consistent LULC mapping should be carried out in order to quantify and characterize LULC changes. This will help establish trends and enable resource managers to project realistic change scenarios helpful for natural resource management.",
issn = "23941375",
journal = "IJRIES",
keywords = "Land Use Land Cover Change, GIS and RS, Supervised Classification, Satellite Images",
month = "May",
number = "3",
pages = "1-9",
title = "{A}ssessment of {L}and use and {L}and {C}over {C}hange using {GIS} and {R}emote {S}ensing {T}echniques around {M}etu {D}istrict, {S}outh {W}estern {E}thiopia",
volume = "11",
year = "2024",
}

Abstract:

The surface of the earth is undergoing rapid land use and land cover changes due to various socioeconomic activities and natural phenomena. Land use and land cover changes that occurred from 2000 to 2020 in Metu area were monitored using remote sensing and geographic information system with field verifications. The objective of this study is to understand the dynamics of Land Use and Land Cover and analyze change detection around Metu area over a period of 21 years. Satellite images of Landsat 7 ETM+ and LANDSAT 8 ETM+ were used. All images were classified using object-based image classification technique. Accuracy assessments were conducted for each reference year. Four LULCs were successfully captured viz. Built up areas, water bodies, forests and croplands with overall accuracies for 2000 and 2020 image classification accuracy were 61% and 80.7% and kappa coefficient were 0.5 and 0.8 respectively. Change detection analysis was performed to compare the quantities of land cover class conversions between time intervals. The results revealed both increase and decrease of the different LULC classes from 2000 through to 2020. Significant shifts from some classes to others were observed. The classification result revealed that forest cover (45.71%) and cropland (43.19%) were dominant LULC types in 2000. In 2020, cropland (53.02%) was the major LULC types followed by forest cover (28.36%); buildup area (15.78%) and water body (2.84%). The change result shows that a significant conversions from one land cover category to another within the same period. There were significant conversions from forest cover to crop land (40.5%), crop lands to build up area (17.6%). Drivers of the observed changes may be due to natural phenomena and socio-economic activities. Consistent LULC mapping should be carried out in order to quantify and characterize LULC changes. This will help establish trends and enable resource managers to project realistic change scenarios helpful for natural resource management.

Full text:

IJRIES_244_FINAL.pdf Online version

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