Monitoring land use land cover changes and its impacts on land surface temperature over Mardan and Charsadda Districts, Khyber Pakhtunkhwa (KP), Pakistan

Khan, Rehan; Li, Huan; Basir, Muhammad; Chen, Yuan Lin; Sajjad, Meer Muhammad; Haq, Ihtisham Ul; Ullah, Barkat; Arif, Muhammad; Hassan, Waqas

doi:10.1007/s10661-022-10072-1

Cited by 25 publications

(17 citation statements)

References 84 publications

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“…Using Landsat data, Hussain et al [79] studied a 4.5% rise in settlements and a decrease in vegetation area from 2000 to 2020 in the Okara district of Punjab, Pakistan. According to Khan et al [80] showed that a vast quantity of grassland and agricultural land in Islamabad, Pakistan, was replaced by barren land from 1993 to 2018 using Landsat images.…”

Section: Discussionmentioning

confidence: 99%

Monitoring the Dynamic Changes in Vegetation Cover Using Spatio-Temporal Remote Sensing Data from 1984 to 2020

et al. 2022

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Anthropogenic activities and natural climate changes are the central driving forces of global ecosystems and agriculture changes. Climate changes, such as rainfall and temperature changes, have had the greatest impact on different types of plant production around the world. In the present study, we investigated the spatiotemporal variation of major crops (cotton, rice, wheat, and sugarcane) in the District Vehari, Pakistan, from 1984 to 2020 using remote sensing (RS) technology. The crop identification was pre-processed in ArcGIS software based on Landsat images. After pre-processing, supervised classification was used, which explains the maximum likelihood classification (MLC) to identify the vegetation changes. Our results showed that in the study area cultivated areas under wheat and cotton decreased by almost 5.4% and 9.1% from 1984 to 2020, respectively. Vegetated areas have maximum values of NDVI (> 0.4), and built-up areas showed fewer NDVI values (0 to 0.2) in the District Vehari. During the Rabi season, the temperature was increased from 19.93 °C to 21.17 °C. The average temperature was calculated at 34.28 °C to 35.54 °C during the Kharif season in the District Vehari. Our results showed that temperature negatively affects sugarcane, rice, and cotton crops during the Rabi season, and precipitation positively affects sugarcane, rice, and cotton crops during the Kharif season in the study area. Accurate and timely assessment of crop estimation and relation to climate change can give very useful information for decision-makers, governments, and planners in formulating policies regarding crop management and improving agriculture yields.

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Section: Discussionmentioning

confidence: 99%

Monitoring the Dynamic Changes in Vegetation Cover Using Spatio-Temporal Remote Sensing Data from 1984 to 2020

et al. 2022

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“…Correlation patterns are graphically interpreted with supplementary datasets for context. Key findings and conclusions are summarised to conclude (Govind and Ramesh 2020;Khan et al 2022;Tiwari and Kanchan 2024). 1.…”

Section: Methodsmentioning

confidence: 99%

Investigating the Link Between Urban Expansion and Land Surface Temperature using GIS and Spectral Indices. The case of Peri urban South Chennai

2024

Preprint

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Built up expansion in peri-urban areas can have significant environmental consequences. Monitoring these land changes helps assess the impact on ecosystems. It allows for early detection of negative trends and helps develop strategies to mitigate environmental degradation. The present study investigates the correlation between expansion in peri urban areas and temperature on the surface of the land. The objective of the study is to evaluate the relationship and degree of the link between land surface temperature and urban growth using the spectral indices NDVI and NDBI. Satellite imagery for 1991 and 2001 was used to compute the NDVI, NDBI, and LST maps in ArcGIS. A grid set of 463 points was selected using the fish net sampling technique in the area of interest and correlated. A positive relationship between NDBI and LST, a negative relationship between NDVI and LST, and a negative correlation between NDVI and NDBI are all indicated in the results of the assessment. The results indicate that the increased area of greenspaces shows less land surface temperature. An increase in barren/built-up areas shows increased land surface temperature. These relationships highlight the interplay between urban expansion, vegetation cover, and temperature on the land surface. As lands in the peri-urban areas are consumed for urbanization, areas with high built-up density and limited vegetation will likely exhibit higher land surface temperatures causing urban heat islands. In comparison, regions with more vegetation tend to experience colder temperatures. A deep insight into these correlations can help urban planners and policymakers make informed choices that limit the negative consequences of urbanisation on the environment and human well-being and support sustainable urban growth.

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“…Perubahan tutupan lahan dapat melibatkan konversi kelas lahan seperti konversi dari tutupan lahan hutan menjadi penggunaan lahan pertanian atau transisi dari hutan menjadi permukiman (Wang et al, 2021). Fenomena perubahan tersebut dilihat dalam periode waktu tertentu hingga prediksi perubahan di masa depan (Khan et al, 2022).…”

Section: Pendahuluanunclassified

Analisis Spasial Temporal Perubahan Tutupan Lahan di Pulau Ternate Provinsi Maluku Utara Citra Satelit Resolusi Tinggi

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2023

Buana j. Geografi Ekologi dan Kebencanaan

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Pertambahan jumlah penduduk yang semakin meningkat, tentunya berpengaruh terhadap kebutuhan dan ketersedian lahan di Pulau Ternate. Dengan menggunakan citra satelit resolusi tinggi dapat mengidentifikasi dan menganalsis perubahan tutupan lahan di Pulau Ternate dengan detail. Penelitian ini menggunakan data Worldview -2 tahun 2013 dan 2023 untuk analisisi tutupan lahan tahun 2013 dan 2023 dengan mengacu pada standar klasifikasi tutupan lahan berdasarkan SNI-2010 yang dilakukan dengan interpertasi dan digitasi yang dilakukakn secara visiual di software Arc GIS 10.8. Hasil penelitian menunjukan bahwa lahan terbangun di Pulau Ternate mengalami pertambahan luasan pada periode 2013-2023. Pada tahun 2013 presentase luasan lahan terbangyn di Pulau Ternate sebesar 15.19 % dan terus mengalami pertambahan luasan di tahun 2023 sebesar 19.69% dari total luasan Pulau Ternate. Berbeda dengan kelas tutupan lahan lainnya yang mengalami penurunan luasan. Hasil penelitian diharapkan dapat menjadi informasi bagi pemerintah dan masyarakat di Pulau Ternate dalam upaya penataan ruang kedepannya di kedepannya.

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Monitoring land use land cover changes and its impacts on land surface temperature over Mardan and Charsadda Districts, Khyber Pakhtunkhwa (KP), Pakistan

Cited by 25 publications

References 84 publications

Monitoring the Dynamic Changes in Vegetation Cover Using Spatio-Temporal Remote Sensing Data from 1984 to 2020

Monitoring the Dynamic Changes in Vegetation Cover Using Spatio-Temporal Remote Sensing Data from 1984 to 2020

Investigating the Link Between Urban Expansion and Land Surface Temperature using GIS and Spectral Indices. The case of Peri urban South Chennai

Analisis Spasial Temporal Perubahan Tutupan Lahan di Pulau Ternate Provinsi Maluku Utara Citra Satelit Resolusi Tinggi

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