Detection of land use/land cover and land surface temperature change in the Suha Watershed, North-Western highlands of Ethiopia

Yeneneh, Nigussie; Elias, Eyasu; Feyisa, Gudina Legese

doi:10.1016/j.envc.2022.100523

Cited by 14 publications

(5 citation statements)

References 41 publications

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“…After radiometric calibration, the Normalized Difference Vegetation Index (NDVI) was calculated to distinguish photosynthetic vegetation from bare soil and impervious surfaces [29]. An unsupervised classification then delineated major land cover types including shrubland, cropland, built-up areas, and reforestation [36,37]. Gridded rainfall data from the CHIRPS satellite product were also retrieved to compare precipitation patterns between 2000 and 2022 [38].…”

Section: Satellite Data Analysismentioning

confidence: 99%

Analysis of Land Use Change and Hydrogeological Parameters in the Andean Semiarid Region of Ecuador

Benavides-Muñoz,

Correa-Escudero,

Pucha-Cofrep

et al. 2024

Water

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Access to freshwater in developing regions remains a significant concern, particularly in arid and semiarid areas with limited annual precipitation. Groundwater, a vital resource in these regions, faces dual threats—climate change and unsustainable exploitation. This study analyzes changes in land use, vegetation cover, and hydrogeological parameters in Catacocha parish, situated in the southern Ecuadorian Andes region. The methodology incorporates the integration of data from the Paltas Municipality, Ministerio del Ambiente, Agua y Transición Ecológica—MAATE—and Instituto Geográfico Militar—IGM. Utilizing GIS tools, vegetation analysis is combined with a comparative assessment of discharge data spanning from 2000 to 2022. The data from the MAATE and IGM play an instrumental role in evaluating alterations in vegetation cover across the years. The study also examines the characteristic curves of the wells and their coefficient of storage. Additionally, it assesses the role of vegetation in facilitating infiltration and explores the potential relationship with precipitation patterns in the study area. In semiarid regions, prioritizing the management of natural vegetation is essential, either through conservation projects or reforestation plans throughout the year. Moreover, population emigration has revitalized land use, reserving specific areas for conservation. The transformation observed in the wells supplying the parish of Catacocha and its vegetation cover from 2000 to 2022 serves as a demonstration of this change. Discharge data remain essential for monitoring variations in well discharge and ensuring a consistent daily supply of potable water.

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Section: Satellite Data Analysismentioning

confidence: 99%

Analysis of Land Use Change and Hydrogeological Parameters in the Andean Semiarid Region of Ecuador

Benavides-Muñoz,

Correa-Escudero,

Pucha-Cofrep

et al. 2024

Water

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“…These samples have a class label (LULC class) and modeling features (effective factors). After reviewing the literature [1,3,9,10,12,20], modeling features were selected to train the algorithm. Four morphological features, including elevation, aspect, hill-shade, and slope, were derived from NASA-DEM 30 m. The TEB is a vast area with varied morphology, and morphological features are crucial for such an area [20].…”

Section: Datasetmentioning

confidence: 99%

“…Economic and industrial development, along with rapid and uncontrolled population growth, especially in developing countries in the late twentieth and early twenty-first centuries, have multiplied LULC change [2]. Human-induced LULC change led to adverse impacts on the land's anthropogenic and natural features at different spatiotemporal scales [3]. It made LULC change monitoring a critical requirement.…”

Section: Introductionmentioning

confidence: 99%

Land Use/Land Cover Change Analysis Using Multi-Temporal Remote Sensing Data: A Case Study of Tigris and Euphrates Rivers Basin

Al-Taei,

Alesheikh,

Darvishi Boloorani

2023

Land

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Multi-temporal land use/land cover (LULC) change analysis is essential for environmental planning and recourses management. Various global LULC datasets are available now. However, they do not show strong consistency on a regional scale and are mainly time limited. Therefore, high-quality multi-temporal LULC mapping with reasonable consistency on a regional scale is still demanding. In this study, using the Landsat 7, Landsat 8, and the NASA digital elevation model (DEM), LULC mapping of the Tigris and Euphrates rivers basin (TEB) was performed by random forest (RF) classifier in the Google Earth Engine platform during 2000–2022. The spectral bands, spectral indices, morphological, and textural features were applied in the developed procedure. The results indicated that the proposed approach had accurate performance (accuracy = 0.893 and an F score = 0.820) with a good consistency with previous studies. The feature importance evaluation was carried out using Gini index, and spectral indices were identified as the most important features in LULC mapping. Overall, severe LULC change has happened in the TEB during the last two decades. Our results revealed the expansion of water and built-up classes while trees class has experienced a decreasing trend. From a regional perspective, three main areas in the east and south-east of Iraq, north-west of Iraq, and east of Syria were identified where LULC change was intense. These areas are prone to land degradation and dust storms emission problems, and it is necessary to take steps to prevent severe LULC changes in them.

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“…This phenomenon is affected by the increase in LST. Increasing LST is caused by several reasons, among them is caused by land use and land cover (LULC) change (Yeneneh et al, 2022 and;Prasetya et al, 2020). In general, LULC change is indicated by the change of land covered by vegetation to land covered by manmade materials such as concrete, asphalt, and other impervious materials.…”

Section: Introductionmentioning

confidence: 99%

Influence of vegetation index to the rainfall intensity in Pasuruan Area, East Java Province, Indonesia

Suharyanto,

Pujiraharjo,

Iqbal

2024

JANS

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An increase in population increases the rate of urbanization. This results in changes in land cover from vegetation to artificial material. As a result, much of the land surface reflects the sun's energy. Consequently, this increases the surface temperature of the land. An increase in land surface temperature (LST) will increase the intensity of rainfall. Therefore, the present study aimed to investigate the relationship between the increase in LST and rainfall intensity. Changes in land cover can be detected by normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) parameters. Landsat satellite imagery was used to detect NDVI, NDBI, and LST. Image processing was done for imageries scanned in 1995, 2015, 2017, and 2021. Two areas in the East Java Province of Indonesia, namely Malang City and Pasuruan Area, were selected. The daily rainfall intensity data were collected from related rainfall stations in the same year. The Mononobe method was applied to analyze hourly and minute rainfall intensity. IDF curves were drawn from the analyzed results. The relationship between both parameters was analyzed by comparing the LST and hourly rainfall intensity from the IDF curve. The studied results showed that the maximum temperature increase from 1995 to 2021 for the Malang City and Pasuruan Area was 2.60 C and 7.60 C, respectively. For rain, the maximum rainfall intensity increased by 58 mm for Malang City and 18 mm for the Pasuruan Area. LST and rainfall intensity change trends of the two areas had a positive coefficient of regression. The findings can be used to predict the rainfall intensity and floods based on the LST data.

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Detection of land use/land cover and land surface temperature change in the Suha Watershed, North-Western highlands of Ethiopia

Cited by 14 publications

References 41 publications

Analysis of Land Use Change and Hydrogeological Parameters in the Andean Semiarid Region of Ecuador

Analysis of Land Use Change and Hydrogeological Parameters in the Andean Semiarid Region of Ecuador

Land Use/Land Cover Change Analysis Using Multi-Temporal Remote Sensing Data: A Case Study of Tigris and Euphrates Rivers Basin

Influence of vegetation index to the rainfall intensity in Pasuruan Area, East Java Province, Indonesia

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