Spatio-temporal pattern of urban vegetation in the central business district of the Wa municipality of Ghana

Aabeyir, Raymond; Peprah, Kenneth; Hackman, Kwame Oppong

doi:10.1016/j.tfp.2022.100261

Cited by 4 publications

(2 citation statements)

References 35 publications

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“…To study the urban impact on LST, 16 images were used in obo-Dioulasso (Burkina Faso, Sub-Shaharan Africa) over 22 years (1991-2013) [83], 11 images in the semi-arid city Erbil, Iraq over 21 years (1992-2013) [84], and two images in Changchun, China over 12 years (1993-2005) [85]. Also, LST trend analysis was performed in urban areas (cities) in Ghana [86], India [87], Iran [88], Thailand [89], and the USA [90,91] using variable numbers of Landsat images in the study periods, i.e., three in six, eight (two in each year) in 30, four in 30, six in 10, and 53 in five years, respectively. Other studies performed LST trends in finding relationships with LULC-Land Use Land Cover changes [92,93], forest cover changes [94], and changes in NDVI-Normalized Difference Vegetation Index [95]- [97] and green roof [98].…”

Section: B Landsatmentioning

confidence: 99%

Opportunities and Challenges of Spaceborne Sensors in Delineating Land Surface Temperature Trends: A Review

et al. 2023

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Understanding the land surface temperature (LST) trends is crucial for policymakers and stakeholders to develop adaptation and mitigation strategies suitable for a sustainable environment coping in the face of climate change. This article presents a systematic review of the studies related to delineating spaceborne sensor based LST trends, including information on the instruments and constellations of satellites (missions) that provide thermal infrared (TIR) and passive microwave (PMW) observations. About 99% of the studies used TIR, where 76% were MODIS (onboard Terra/Aqua) observations. Opportunities, challenges, and research gaps for using the TIR and PMW observations were also explored, with instruments onboard either polar-orbiting or geostationary satellites. We identified that calibrated dataset (e.g., processed, harmonized, and standardized) is extremely limited for each constellation, with multiple satellites and instruments, to make it fully useful for the entire mission period. A few problematic methodological concepts were identified, including using a few images in a longer time series. Using only a few images, acquired on different calendar months in different years, would not provide the true annual trends over the study period because they can be influenced by seasonal variations. To estimate the warming or cooling daytime, nighttime, or diurnal LST trends, the use of MODIS observations could be useful, even though it does not acquire images during the maximum or minimum temperature in a daily cycle. This article indicated further investigations into those research gaps and recommended directions to overcome most of these limitations.

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Section: B Landsatmentioning

confidence: 99%

Opportunities and Challenges of Spaceborne Sensors in Delineating Land Surface Temperature Trends: A Review

et al. 2023

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“…Although NDVI is a measure of greenness (Tucker 1979), it is largely dependent on leaf status and biomass, and thus can be used as an indirect measure of vegetation structure related to crown closure and leaf area index (Ren et al 2017), and thus it has been long used for monitoring vegetation across different environments, cities included (e.g. Gallo et al 1993, Yuan F, Bauer ME 2006Bilgili et al 2013, Wong et al 2019Aabeyir et al 2022. MODIS images have been used before for the evaluation of the cities' heterogeneities with great success (e.g.…”

Section: Vegetation Datamentioning

confidence: 99%