Monitoring land cover changes in a newly reclaimed area of Egypt using multi-temporal Landsat data

Bakr, Noura; Weindorf, David C.; Bahnassy, Ahmed A; Marei, S.M.; El-Badawi, M. M.

doi:10.1016/j.apgeog.2009.10.008

Cited by 138 publications

(69 citation statements)

References 37 publications

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“…Therefore, this method is time and cost efficient. The best-known variant of unsupervised classification is ISODATA, which groups pixels with similar spatial and spectral characteristics into classes (Bakr et al 2010). However, for practical application, the quality of this classification is often not enough.…”

Section: Classificationmentioning

confidence: 99%

“…Maximum likelihood classification (MLC) was used for supervised classification (Bakr et al 2010;Otukei and Blaschke 2010;Petropoulos et al 2012;Rojas et al 2013). MLC assumes that the statistics for each class in each band are normally distributed and then calculates the probability that a given pixel belongs to a specific class.…”

Section: Forest Residential and Water Body Classesmentioning

confidence: 99%

“…The kappa coefficient is a measure for correspondence corrected for correspondence by chance and was recommended as a standard by Rosenfield and Fitzpatrick-lins (1986). This standard has been widely adopted (Hudson and Ramm 1987;Lillesand and Kiefer 2000;Foody 2002;Bakr et al 2010;Rozenstein and Karnieli 2010;Abd el-kawy et al 2011;Rojas et al 2013;Schmitt-harsh 2013). The USGS proposed a kappa …”

Section: Accuracy Assessmentmentioning

confidence: 99%

“…The reflective bands (1-5 and 7) of the images were used to classify agriculture classes with the unsupervised ISO-DATA classification technique (Bakr et al 2010). …”

Section: Agriculture Classmentioning

confidence: 99%

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A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

Mohammady

Moradi

Zeinivand

et al. 2014

Int. J. Environ. Sci. Technol.

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Land use classification is often the first step in land use studies and thus forms the basis for many earth science studies. In this paper, we focus on low-cost techniques for combining Landsat images with geographic information system approaches to create a land use map. In the Golestan region of Iran, we show that traditional supervised and unsupervised methods do not result in sufficiently accurate land use maps. Therefore, we evaluated a synthetic approach combining supervised and unsupervised methods with decision rules based on easily accessible ancillary data. For accuracy assessment, confusion matrices and kappa coefficients were calculated for the maps created with the supervised, unsupervised and synthetic approaches. Overall accuracy of the synthetic approach was 98.2 %, which is over the 85 % level that is considered satisfactory for planning and management purposes. This shows that integration of remote sensing data, ancillary data and decision rules provides better classification accuracy than traditional methods, without significant additional use of resources.

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Section: Classificationmentioning

confidence: 99%

Section: Forest Residential and Water Body Classesmentioning

confidence: 99%

Section: Accuracy Assessmentmentioning

confidence: 99%

“…The reflective bands (1-5 and 7) of the images were used to classify agriculture classes with the unsupervised ISO-DATA classification technique (Bakr et al 2010). …”

Section: Agriculture Classmentioning

confidence: 99%

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A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

Mohammady

Moradi

Zeinivand

et al. 2014

Int. J. Environ. Sci. Technol.

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“…For a detailed discussion of the applicability of NDVI to the detection of irrigated land in the study region (see Bakr et al 2010). The areas with high NDVI corresponded to vegetated areas, including irrigated cultivation and naturally occurring saltmarsh vegetation.…”

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confidence: 99%

A Socio-Ecological Investigation of Options to Manage Groundwater Degradation in the Western Desert, Egypt

King

Salem

2012

AMBIO

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Under increasing water scarcity, collective groundwater management is a global concern. This article presents an interdisciplinary analysis of this challenge drawing on a survey including 50 large and small farms and gardens in a village in an agricultural land reclamation area on the edge of the Western Desert of Egypt. Findings revealed that smallholders rely on a practice of shallow groundwater use, through which drainage water from adjacent irrigation areas is effectively recycled within the surface aquifer. Expanding agroindustrial activities in the surrounding area are socio-economically important, but by mining non-renewable water in the surrounding area, they set in motion a degradation process with social and ecological consequences for all users in the multi-layered aquifer system. Based on the findings of our investigation, we identify opportunities for local authorities to more systematically connect available environmental information sources and common pool resource management precedents, to counterbalance the degradation threat.

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Thermal Response to Land‐Use Land‐Cover Patterns: An Experimental Study in Famagusta, Cyprus

Fuladlu

2022

CLEAN Soil Air Water

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The transformation of land-use land-cover (LULC), as induced by human and natural processes, drives the biogeochemistry of Earth and influences the complex interaction between many factors. The most significant outcomes of these interactions are the thermal responses and changes in land-surface temperature (LST). The consequences of these factors can be seen in both global and regional scale changes in climate-remote sensing methods are widely used in constraining these changes and, thus, there is an increasing shift toward LULC studies. This study uses a hybrid method to investigate the thermal responses to LULC patterns by analyzing LST. This method combined the normalized difference vegetation index, normalized difference built-up index, normalized difference barrenness index, and normalized difference moisture index, and is then applied to a study area in Famagusta, Cyprus. The results of this study can help to guide future development and land-use optimization, in Famagusta or any other area in which the method is applied. The study results show that agricultural intensification contributes to increased LST (x = 313.3), whereas wetland (x = 307.5) and forested land decrease the LST. Positive correlations are recorded between increased LST, the normalized difference built-up index (r = 0.702, p < 0.01), and two digital elevation models (r = 0.372, r = 0.364, p < 0.01), while negative correlations existed between LST and the indices of normalized difference vegetation (r = −0.082, p < 0.01), barrenness (r = −0.711, p < 0.01), and moisture (r = −0.702, p < 0.01).

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Monitoring land cover changes in a newly reclaimed area of Egypt using multi-temporal Landsat data

Cited by 138 publications

References 37 publications

A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

A Socio-Ecological Investigation of Options to Manage Groundwater Degradation in the Western Desert, Egypt

Thermal Response to Land‐Use Land‐Cover Patterns: An Experimental Study in Famagusta, Cyprus

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