Estimation of Surface Temperature and Rainfall in Ghana

Kakane, V.C.K.; Søgaard, Henrik

doi:10.1080/00167223.1997.10649394

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…The spatial distribution of cloud-contaminated NDVI classes over an areas receiving more rainfall (>1200 mm) signify that areas receiving more rainfall and cloud cover experienced cloud contamination. More prevalent rainfall in southern Ghana is also reported by Kakane and Sogaard (1997), Fensholt et al (2006. While in contrast those NDVI classes having no obvious contamination problem are distributed through northern Ghana, which is drier region with less chances of persistent cloud cover (Figs.…”

Section: Discussionmentioning

confidence: 87%

“…Ghana has two distinct rainfall regimes in two different parts of the country. Southern Ghana has a high frequency of cloudy days and receives more rainfall than the northern parts (Kakane and Sogaard, 1997;Shahin, 2002;Fensholt et al, 2007). Annual average rainfall varies from 600 to 2100 mm in the southern regions and is marked by two wet seasons: March-July, and September-November (Owusu et al, 2008).…”

Section: Study Areamentioning

confidence: 99%

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Detecting long-duration cloud contamination in hyper-temporal NDVI imagery

Ali

Bie

Skidmore

2013

International Journal of Applied Earth Observation and Geoinfor

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Section: Discussionmentioning

confidence: 87%

Section: Study Areamentioning

confidence: 99%

Detecting long-duration cloud contamination in hyper-temporal NDVI imagery

Ali

Bie

Skidmore

2013

International Journal of Applied Earth Observation and Geoinfor

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“…The spatial distribution of cloud-contaminated NDVI classes over an areas receiving more rainfall (>1200 mm) signify that areas receiving more rainfall and cloud cover experienced cloud contamination. More prevalent rainfall in southern Ghana is also reported by and Kakane and Sogaard (1997), Fensholt et al, (2006) and Fensholt et al,(2007). While in contrast those NDVI classes having no obvious contamination problem are distributed through northern Ghana, which is drier region with less chances of persistent cloud cover ( Figure 2.1 and Figure 2.7).…”

Section: Discussionmentioning

confidence: 77%

Hyper-temporal remote sensing for land cover mapping and monitoring

Ali

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Spatiotemporal Variations in Rainfall and Temperature in Ghana Over the Twentieth Century, 1900–2014

Abbam

Johnson

Dash

et al. 2018

Earth and Space Science

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Climate‐dependent subsistence agriculture remains the main livelihood for most populations in Ghana. The spatiotemporal variations in rainfall and temperature have influence particularly in poorly‐developed agrarian regions with limited or no irrigation infrastructure. Therefore, a systematic understanding of climate patterns across space and time is important for mitigating against food insecurity and household poverty. Using over a century of high‐spatial resolution data, this study examines the spatiotemporal variations in rainfall and temperature across Ghana to identify climate‐stressed locations with potential effect on the production of major staple crops. The data for the analysis were drawn from the University of Delaware's Gridded Precipitation and Temperature Monthly Climatology version 4.01. The analysis was restricted to the main crop‐growing periods (March to December). The Mann‐Kendall nonparametric regression test was used to examine significant changes in rainfall variability and temperature at the district level. The results show that Ghana's climate has become progressively drier over the last century and prone to drought conditions. The most climate‐stressed districts are clustered within the three northern regions (Upper West, Upper East, and Northern) and the Western region. The most recent census in Ghana shows that the three northern regions also have the highest prevalence of subsistence agriculture. The findings from this study have implications for targeted interventions such as the Ghanaian government's recent policy initiative aimed at alleviating rural poverty by encouraging youth participation in agriculture along with efforts to intensifying crop production using modern farming techniques.

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Estimation of Surface Temperature and Rainfall in Ghana

Cited by 4 publications

References 10 publications

Detecting long-duration cloud contamination in hyper-temporal NDVI imagery

Detecting long-duration cloud contamination in hyper-temporal NDVI imagery

Hyper-temporal remote sensing for land cover mapping and monitoring

Spatiotemporal Variations in Rainfall and Temperature in Ghana Over the Twentieth Century, 1900–2014

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