Study on the seasonal changes of land cover and their impact on surface albedo in the northwestern part of Bangladesh using remote sensing

Rahman, S.; Rahman, Hafızur; Keramat, Mumnunul

doi:10.1080/01431160600810880

Cited by 10 publications

(14 citation statements)

References 31 publications

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“…Durante décadas, o papel de técnicas espaciais no monitoramento e no mapeamento da desertificação vem sendo examinado por muitos pesquisadores através de diversos parâmetros (García et al, 2008;Hein & Ridder, 2006;Hountondji et al, 2006;Leibovici et al, 2007;Rahman et al, 2007). Imagens multitemporais de satélites em conjunto com dados locais e mapas têm sido usados para examinar a natureza, tendência e quantificação do processo de desertificação em diferentes ambientes (Carvalho, 2001), incluindo áreas do bioma caatinga (Lopes et al, 2009;Souza et al, 2004).…”

Section: Introductionunclassified

Parâmetros biofísicos na detecção de mudanças na cobertura e uso do solo em bacias hidrográficas

Lopes

Candeias²,

Accioly

et al. 2010

Rev. bras. eng. agríc. ambient.

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RESUMOO estudo de parâmetros biofísicos como o Índice de Vegetação da Diferença Normalizada (NDVI), albedo e temperatura da superfície (LST), aplicado a ecossistemas, tem sido relevante para o entendimento de mudanças relacionadas à degradação do meio ambiente. Algumas alterações que provocam desequilíbrio de interações ecológicas em ecossistemas, como o desmatamento, a mineração, a agricultura inadequada e o superpastejo, entre outros, estão interrelacionadas. Para avaliação de mudanças temporais relacionadas à degradação do ecossistema caatinga obtiveram-se as imagens da diferença de três parâmetros: NDVI, albedo e temperatura da superfície, para os anos de 1985 e 2001 (estação seca), utilizando-se imagens TM. Este estudo foi aplicado à bacia do rio Brígida onde há uma exploração intensa dos recursos naturais, em que os resultados mostram aumento na temperatura da superfície, diminuição do NDVI e pouca variação no albedo da superfície evidenciando, assim, que entre os anos de 1985 e 2001 houve avanço na degradação dos recursos naturais, nesta bacia.Palavras-chave: temperatura da superfície, albedo, índice de vagetação, degradação da caatinga, modelagem de dados Biophysical parameters in the detection of changes in soil cover and use in watersheds ABSTRACTThe study of biophysical parameters such as NDVI, albedo and surface temperature has been reported as important for the understanding of land degradation changes of ecosystems. Degradation in ecosystems is related to the inadequate use of the environmental resources including deforestation, mining, inadequate agriculture, overgrazing, among others, that cause imbalance of ecological interactions. For multitemporal evaluation of changes related to the degradation of the 'caatinga' ecosystem three parameters were used with TM images: NDVI, albedo and surface temperature, in two different dates, 1985 and 2001 (dry season). This study was applied in the Brígida river basin where there is a great intensification in the exploration of the natural resources. The results show an increase in the surface temperature, decrease of NDVI and little variation in the surface albedo, between the two dates. These results also show an increase in the degradation of the natural resources in the basin of the Brígida river.

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Section: Introductionunclassified

Parâmetros biofísicos na detecção de mudanças na cobertura e uso do solo em bacias hidrográficas

Lopes

Candeias²,

Accioly

et al. 2010

Rev. bras. eng. agríc. ambient.

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“…A portion of bare soil changed into settlement area resulted in the increase of NDVI by 35% ( 0.3 and 0.4 for soil and settlement respectively), decrease of temperature and surface albedo value by 25% ( 0.2 and 0.15 for soil and settlement respectively) and 3% (27.6 °C for soil and 26.8 °C for settlement) respectively (Table 1). Due to lack of rainfall in summer, season soil would desiccate which resulted in the formation of crust at the surface and moisture below these crusts has very little effect on soil spectral properties (Rahman et al 2007). But when soil area changes into settlement area, plant root of settlement vegetation would absorb the soil moisture below that crust layer.…”

Section: Conversion Of Bare Soil To Settlementmentioning

confidence: 99%

“…Moreover surface albedo over the water surface is affected by suspended sediment (sediment type, texture, and color), sensor view and sun angles, and water depth (Bailey et al 1997). Besides the dynamic of surface albedo over water is governed by suspended sediments and therefore lowering of suspended sediments will decrease surface albedo value (Rahman et al 2007). Additionally the shallow water body's entire water column participates in absorption and scattering of solar irradiance and hence the bottom layer exerts a great influence on surface albedo (Bailey et al 1997).…”

Section: Conversion Of Bare Soil To Shrimp Farm and Rivermentioning

confidence: 99%

Study on the Effects of Landcover Changes on Surface Albedo and Surface Temperature in Bangladesh Using Remote Sensing and GIS

Sultana

Rahman

Sharifee

et al. 2019

International Journal of Environment and Geoinformatics

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Dynamic changes in Earth's land cover characteristics and associated temporally evolving biophysical surface properties, as well as their ultimate impacts on surface radiative (surface albedo) and climatic properties (land surface temperature), have been studied. The study area includes a part of southwestern Bangladesh covering a period of about twenty years from 1988-2011. The widely used Surface Energy Balance Algorithm for Land (SEBAL) has been applied in conjunction with satellite-derived radiative measurements. Relatively important land use types such as water, soil, sand, settlement, shrimp farm, forest and agricultural crop have been considered. Feature type conversion of parameters i.e Normalized Difference of Vegetation Index (NDVI), surface albedo and land surface temperature have been noticed over the area under the present study. The highest surface albedo as well as surface temperature value has been noticed over the sandy area. Analysis revealed increases of surface temperature by about 1 °C and 3 °C for land cover conversion from (i) crop to settlement and (ii) water to soil, respectively. All other categories of land cover conversion generally experience decreases in surface temperature. Spatial vegetation coverage and amount of soil moisture play a dominant role in the radiative as well as climatic properties.

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“…Moreover agricultural land area has decreased from 13.3 to 12.17 million ha from 1976 to 2010, with the total loss of 1.11 million ha whereas; cultivatable land area has decreased from 65.75% in 1976-1977 to 57.41% in 2010-2011 [16]. Noted that the conversion of one landcover to another would directly alter vegetation cover and structure [17] because vegetation and its underlying soil are important factors in global climatic variability [18,19]. Though, the impacts of changes in climate, society, and economy is quite difficult to compute [20] but it is obvious that Bangladesh is facing numerous challenges in terms of rice production estimation and forecasting which are the prime concerns of this research.…”

Section: Introductionmentioning

confidence: 99%

Remotely Sensed Boro Rice Production Forecasting Using MODIS-NDVI: A Bangladesh Perspective

Faisal¹,

Rahman²,

Sharifee³

et al. 2019

AgriEngineering

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This research work dealt with the development of an operational methodology with appropriate technical components for monitoring and forecasting of rice crop (Boro) production in Bangladesh. Designed system explores integrated application of remote sensing (RS) sciences and Geographic Information System (GIS) technology. Terra MODIS 16-day Normalized Difference Vegetation Index (NDVI) maximum value composite (MVC) image product MOD13A1 of 500 m spatial resolution covering Bangladesh have been utilized for a period 2011–2017. Hence the district-wise sum of NDVI on pixel-by-pixel has been calculated from Jan–April during 2011–2017. Regression analysis between district-based pixel-wise summation of MODIS-NDVI and district-wise BBS (Bangladesh Bureau of Statistics) estimated Boro production revealed strong correlation (R2 = 0.57–0.85) where in March most of the regression coefficient shows significant correlation due to maximize photosynthetic activities. Therefore, the highest regression coefficient value from derived set of coefficient value (BCP-Boro Crop Production Model 2) has been utilized to obtain year-wise rice productions for all the years (2011–2017). Global Positioning System (GPS)-based field verification, accuracy assessment and validation operation have been carried out at randomly selected geographical positions over the country using various statistical tools. The results demonstrate good agreement between estimated and predicted yearly Boro rice production during 2011–2017 time period with Mean Bias Error (MBE) = −29,881 to 19,431 M.Ton; Root Mean Square Error (RMSE) = 5238 to 11,852 M.Ton; Model Efficiency (ME) = (0.86–0.94); Correlation Coefficients = 0.65 to 0.87. Therefore MODIS-NDVI based regression model seems to be effective for Boro production forecasting. The system generally appears to be relatively fast, simple, reasonably accurate and suitable for nation-wide crop statistics generation and food security issues.

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Study on the seasonal changes of land cover and their impact on surface albedo in the northwestern part of Bangladesh using remote sensing

Cited by 10 publications

References 31 publications

Parâmetros biofísicos na detecção de mudanças na cobertura e uso do solo em bacias hidrográficas

Parâmetros biofísicos na detecção de mudanças na cobertura e uso do solo em bacias hidrográficas

Study on the Effects of Landcover Changes on Surface Albedo and Surface Temperature in Bangladesh Using Remote Sensing and GIS

Remotely Sensed Boro Rice Production Forecasting Using MODIS-NDVI: A Bangladesh Perspective

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