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Wyświetlanie 1-2 z 2
Tytuł:
Historical and projected land-use / land cover changes of the Welmel River Watershed, Genale Dawa Basin, Ethiopia
Autorzy:
Ayalew, Solomon E.
Nigussie, Tewodros A.
Powiązania:
https://bibliotekanauki.pl/articles/27312636.pdf
Data publikacji:
2023
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
CA-Markov chain model
change detection
land use/land cover
LULC
Welmel Watershed
Opis:
Human activities on land have grown significantly changing the entire landscape, while most of the changes have occurred in the tropics. The change has become a serious environmental concern at the local, regional and global scales. The intensity, speed, and degree of land use / land cover (LULC) changes are nowadays quicker compared to the past because of the development of society. Moreover, the rapid increase in population resulted in disturbing a large number of landscapes on the Earth. The main objective of this study was to detect historical (1990-2020) and predicted (2020-2050) LULC changes in the Welmel River Watershed, which is located in the Genale-Dawa Basin, South Eastern Ethiopia. The dataset of 1990, 2005, and 2020 was generated from Landsat 5, Landsat 7 and Landsat 8 respectively to determine the historical LULC map. The result of this study revealed that agriculture/ settlement increased by 6.85 km2 ∙y-1, while forestland declined by 9.16 km2 ∙y-1 over the last 31 years between 1990 and 2020. In the coming 31 years (by 2050), if the existing trend of the LULC change continues, agriculture/settlement land is expected to increase from 290.64 km2 in 2020 to 492.51 km 2 in 2050 at the rate of 6.73 km2 ∙y-1, while forestland is expected to shrink from 690.48 km2 in 2020 to 427.01 km2 in 2050 by a rate of 8.78 km2 ∙y-1.
Źródło:
Journal of Water and Land Development; 2023, 58; 89--98
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Monitoring and forecasting spatio-temporal LULC for Akure rainforest habitat in Nigeria
Autorzy:
Aliyu, Yahaya A
Youngu, Terwase T.
Abubakar, Aliyu Z.
Bala, Adamu
Jesulowo, Christianah I.
Powiązania:
https://bibliotekanauki.pl/articles/1444929.pdf
Data publikacji:
2020
Wydawca:
Politechnika Warszawska. Wydział Geodezji i Kartografii
Tematy:
LULC
change detection
Landsat
Cellular Automata Markov model
Nigeria
wykrywanie zmian
program Landsat
model Markowa
automaty komórkowe
Opis:
For several decades, Nigerian cities have been experiencing a decline in their biodiversity resulting from rapid land use land cover (LULC) changes. Anticipating short/long-term consequences, this study hypothesised the effects of LULC variables in Akure, a developing tropical rainforest city in south-west Nigeria. A differentiated trend of urban LULC was determined over a period covering 1999–2019. The study showed the net change for bare land, built-up area, cultivated land, forest cover and grassland over the two decades to be -292.68 km2, +325.79 km2, +88.65 km2, +8.62 km2 and -131.38 km2, respectively. With a projected population increase of about 46.85%, the study identified that the built-up land cover increased from 1.98% to 48.61%. The change detection analysis revealed an upsurge in built area class. The expansion indicated a significant inverse correlation with the bare land class (50.97% to 8.66%) and grassland class (36.33% to 17.94%) over the study period. The study observed that the land consumption rate (in hectares) steadily increased by 0.00505, 0.00362 and 0.0687, in the year 1999, 2009 and 2019, respectively. This rate of increase is higher than studies conducted in more populated cities. The Cellular Automata (CA) Markovian analysis predicted a 37.92% growth of the study area will be the built-up area in the next two decades (2039). The 20-year prediction for Akure built-up area is within range when compared to CA Markov prediction for other cities across the globe. The findings of this study will guide future planning for rational LULC
Źródło:
Reports on Geodesy and Geoinformatics; 2020, 110; 29-38
2391-8365
2391-8152
Pojawia się w:
Reports on Geodesy and Geoinformatics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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