Remote Sensing Technology for Evaluation of Variations in Land Surface Temperature, and Case Study Analysis from Southwest Nigeria

Eludoyin, Adebayo Oluwole; Omotoso, Iyanuoluwa; Eludoyin, Oyenike Mary; Popoola, Kehinde Solomon

doi:10.1007/978-3-030-04750-4_8

Cited by 7 publications

(2 citation statements)

References 33 publications

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“…This is because each of these approaches/ models has its own advantages and limitations. Eludoyin et al (2019) reviewed that developing countries, such as those found in sub-Saharan Africa might require a huge budget for retrieving high resolution remotely sensed images.…”

Section: Strengths and Limitations Of Remotely Sensed Hydrological Re...mentioning

confidence: 99%

Remote sensing of land use-land cover change and climate variability on hydrological processes in Sub-Saharan Africa: key scientific strides and challenges

Govender

Dube

Shoko

2022

Geocarto International

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The impact of land use land cover (LULC) change and climate variability on water resources poses as a major threat in semi-arid environments, especially in the sub-Saharan Africa. Countries in sub-Saharan Africa are vulnerable to water scarcity. Hence, there is an urgent need for understanding the various methods for LULC change and climate variability assessment, to aid in water resources management at various scales. Various studies have modelled and assessed the effect of LULC change and climate variability on hydrological responses, using different approaches. In this regard, this paper provides a detailed review on the progress of various remote sensing techniques in modelling and assessing the effect of LULC change and climate variability on hydrological processes. The review also highlights the critical scientific strides and challenges of remotely-sensed applications in LULC change characterization and total evaporation estimation. Specifically, research gaps in the estimation of total evaporation in response to LULC change and climate variability, using remote sensing are also highlighted. The study demonstrated remotelysensed methods used in hydrologic models such as the SCS-CN, WetSpa, JULES and the SWAT model that are used to determine run-off and streamflow. These methods have a component of total evaporation however evapotranspiration (ET) is not the sole focus. The study showed that the application of the remotely sensed SEBS tool has been widely accepted as a viable method to estimate total evaporation. However, it has been observed that there is limited focus on the impact of LULC change and climate variability on total evaporation.

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Section: Strengths and Limitations Of Remotely Sensed Hydrological Re...mentioning

confidence: 99%

Remote sensing of land use-land cover change and climate variability on hydrological processes in Sub-Saharan Africa: key scientific strides and challenges

Govender

Dube

Shoko

2022

Geocarto International

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“…This is possible due to remote sensing satellite imagery. In fact, remote sensing is positioned as the main alternative for quantification and monitoring of the LST [11].…”

Section: Introductionmentioning

confidence: 99%

Retrieving Land Surface Temperature from Satellite Imagery with a Novel Combined Strategy

et al. 2020

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Land surface temperature (LST) is a key parameter for land cover analysis and for many fields of study, for example, in agriculture, due to its relationship with the state of the crop in the evaluation of natural phenomena such as volcanic eruptions and geothermal areas, in desertification studies, or in the estimation of several variables of environmental interest such as evapotranspiration. The computation of LST from satellite imagery is possible due to the advances in thermal infrared technology and its implementation in artificial satellites. For example, Landsat 8 incorporates Operational Land Imager(OLI) and Thermal InfraRed Sensor(TIRS)sensors the images from which, in combination with data from other satellite platforms (such as Terra and Aqua) provide all the information needed for the computation of LST. Different methodologies have been developed for the computation of LST from satellite images, such as single-channel and split-window methodologies. In this paper, two existing single-channel methodologies are evaluated through their application to images from Landsat 8, with the aim at determining the optimal atmospheric conditions for their application, instead of searching for the best methodology for all cases. This evaluation results in the development of a new adaptive strategy for the computation of LST consisting of a conditional process that uses the environmental conditions to determine the most suitable computation method.

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Thermal Comfort and Vulnerability of Residents to Heat Stress in Ikare, Akoko, Ondo State, Nigeria

Eludoyin¹,

Oluwatumise²

2021

Handbook of Climate Change Management

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Remote Sensing Technology for Evaluation of Variations in Land Surface Temperature, and Case Study Analysis from Southwest Nigeria

Cited by 7 publications

References 33 publications

Remote sensing of land use-land cover change and climate variability on hydrological processes in Sub-Saharan Africa: key scientific strides and challenges

Remote sensing of land use-land cover change and climate variability on hydrological processes in Sub-Saharan Africa: key scientific strides and challenges

Retrieving Land Surface Temperature from Satellite Imagery with a Novel Combined Strategy

Thermal Comfort and Vulnerability of Residents to Heat Stress in Ikare, Akoko, Ondo State, Nigeria

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