Influence of land use/land cover change on land surface temperature using RS and GIS techniques

Fathian, Farshad; Prasad, A. D.; Dehghan, Zohreh; Eslamian, Saeid

doi:10.1504/ijhst.2015.071348

Cited by 20 publications

(8 citation statements)

References 15 publications

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“…It directly measures the prevailing climatic conditions in the study area. This was considered as one of the primary parameters for the aquaculture site selection process as it helps in maintaining the optimum pond water temperature for successful culture (Fathian et al, 2015; Xiao et al, 2008). LST was calculated from the thermal infrared data of Landsat 8 obtained through remote sensing.…”

Section: Methodsmentioning

confidence: 99%

Analysis of land‐based parameters and development of multi‐criteria decision support system for demarcation of potential aquaculture sites in Nagapattinam, Tamil Nadu, India

Dharani Shrree,

Tanveer,

Puja

et al. 2024

Land Degrad Dev

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The aim of the present study was to develop a multi‐criteria decision support system to find out possible aquaculture sites available in Nagapattinam district of Tamil Nadu, India. This study focuses on identifying possible aquaculture sites available in Nagapattinam district using remote sensing and GIS approaches. A geographical model has been developed to choose the probable aquaculture sites. The remote sensing and geographic information system techniques were applied to study the decisive parameters that play a vital role in the site suitability for aquaculture purposes. The chosen decisive parameters viz., normalized difference vegetation index, digital elevation model, soil type, normalized difference water index, land use land cover area and land surface temperature were subjected to the development of decision support system. Moreover, four different multi‐criteria decision support techniques viz., weighted overlay, analytical hierarchy process, fuzzy classified analytical hierarchy process and fuzzy classified weighted overlay were applied in the present study. The results obtained from the study rendered that the weighted overlay and the analytical hierarchy process outperforms the fuzzy classified models. The suitability ratio of analytical hierarchy process and weighted overlay methods were found to be 12.7 and 12.4 respectively. A total of 25 locations were selected and mapped in the Nagapattinam region and their accuracy was checked. The analytical hierarchy process results were obtained with an accuracy of 84%. Hence, the analytical hierarchy process provided better results than the weighted overlay technique. The study rendered that the area of 7.22% is highly suitable for aquaculture. These findings are essential for the development of sustainable aquaculture, assisting stakeholders in selecting suitable aquaculture sites that maximize productivity while minimizing environmental degradation.

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Section: Methodsmentioning

confidence: 99%

Analysis of land‐based parameters and development of multi‐criteria decision support system for demarcation of potential aquaculture sites in Nagapattinam, Tamil Nadu, India

Dharani Shrree,

Tanveer,

Puja

et al. 2024

Land Degrad Dev

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“…Digital Number (DN) of a pixel in an image is a numerical value that represents the brightness of that pixel in the image. In this step, each pixel of the Landsat images was converted from Digital Numbers (DN) to Spectral radiance (Lλ) using the following formula (Fathian et al, 2015;Wang et al, 2015). where; NIR and RED are the near-infrared and red band pixel values respectively.…”

Section: 3retrieval Of Lst From Satellite Image (Landsat Tm)mentioning

confidence: 99%

Quantifying Spatio-Temporal Land Surface Temperature and Biophysical Indices for Sustainable Management of Watershed: A Study of Vishwamitri Watershed of Gujarat

Bhatt

Sharma

Joshi

et al. 2023

Journal of Geomatics

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Spatio-Temporal Analysis of the nexus between vegetation dynamics and climatic parameters like surface temperature is essential in environmental and biophysical studies and for monitoring and management of watersheds. This study explored the spatio-temporal distribution of land surface temperature (LST), Normalised Difference Water Index (NDWI), and Normalized Difference Vegetation Index (NDVI) and the relationship between them in the Vishwamitri watershed of Gujarat for the Pre Monsoon and Post Monsoon of the Year 2001 and 2016 using Landsat dataset. The findings of the study showed that the LST of the Vishwamitri watershed. The mean LST value of the year 2001 was 46.19°C in the pre-monsoon season and 39.27°C in the post-monsoon season. Mean LST values for the year 2016 were 49.34°C in pre-monsoon and 35.21°C in the post-monsoon season as observed. The spatial distribution of NDVI and LST reflects an inverse relationship. A strong positive correlation between LST with NDVI is observed over highly dense built-up areas. In summary, the LST is greatly controlled by surface characteristics. The results of this study illustrate there has been a dynamic change in vegetation cover of the watershed in all seasons. There was also a negative correlation between LST and NDVI in the studied years. The study concludes that there has been a degradation of vegetation and intensification of LST in the year 2016 as compared with the year 2001. This study can be used as a reference for land use and environmental planning in a tropical city.

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“…Figure (1) presents the location of Zanjan city in Iran, province and county [49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65].…”

Section: Study Areamentioning

confidence: 99%

Change Detection of Urban Land Use and Urban Expansion Using GIS and RS, Case Study: Zanjan Province, Iran

2018

International Journal of Constructive Research in Civil Enginee

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Influence of land use/land cover change on land surface temperature using RS and GIS techniques

Cited by 20 publications

References 15 publications

Analysis of land‐based parameters and development of multi‐criteria decision support system for demarcation of potential aquaculture sites in Nagapattinam, Tamil Nadu, India

Analysis of land‐based parameters and development of multi‐criteria decision support system for demarcation of potential aquaculture sites in Nagapattinam, Tamil Nadu, India

Quantifying Spatio-Temporal Land Surface Temperature and Biophysical Indices for Sustainable Management of Watershed: A Study of Vishwamitri Watershed of Gujarat

Change Detection of Urban Land Use and Urban Expansion Using GIS and RS, Case Study: Zanjan Province, Iran

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