A land use and land cover classification system for use with remote sensor data

Anderson, James R.; Hardy, E. E.; Roach, John T.; Witmer, Richard E.

doi:10.3133/pp964

Cited by 3,167 publications

(2,071 citation statements)

References 12 publications

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“…Agricultural land pushed to the north and northeast of the city, increasing by 28% from 48 km 2 in 1985 to 315 km 2 in 2015 ( Table 2). Accuracy assessment for LU/LC classification generated an overall accuracy ranging from 94% to 97% across all image years and Kappa Coefficient was >0.91; a satisfactory classification accuracy level of remotely sensed data for LU/LC [21]. User accuracy of individual classes ranged from 92% to 100%, and producer accuracy of individual classes ranged from 81% to 100% (Table 3).…”

Section: Resultsmentioning

confidence: 91%

“…The land use/cover classification scheme by Anderson [21] was modified to account for local field knowledge and conditions of the study area to define four types of land cover including barren land, urban areas, agricultural land and water ( Table 1). The focus in this study is on agricultural land and urban area (water was determined to cover only 1%).…”

Section: Image Classification (Segmentation)mentioning

confidence: 99%

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Spatio-Temporal Analysis of Land Use and Land Cover Changes in Arid Region of Saudi Arabia

Albalawi¹

2018

GEOMATE

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Changes in land use/land cover (LU/LC) are a major factor driving global environmental change, especially in arid and semi-arid regions. As a result, expansion of agriculture and urbanization is occurring in ecologically fragile lands. This paper analyzed and assessed land use/land cover changes in an agricultural center Tabuk in Saudi Arabia, object-based classification technique (OBC) using Landsat images for seven years (1985, 1990, 1995, 2000, 2005, 2009, and 2015) were used for LU/LC analysis. The urban growth type for Tabuk was measured using Urban Growth Analysis Tool (UGAT) within a GIS. The study found an increase in urban areas from 48 km 2 in 1985 to 315 km 2 in 2015. A significant increase of 61% in agricultural land, from 1985 (112 km 2 ) to (577 km 2 ) in 2015. This expansion is occurring at the expense of the barren land with a loss of 768 km 2 . An overall classification accuracy ranged from 94% to 97% across all images. The urban growth type for Tabuk was determined as 72% to be of the extension-type over the study period, with urban areas expanding in a direction towards the northwest and west area. Assessing spatial and temporal LU/LC change has aided to understand the impacts of expanding agriculture and urban areas. The LU/LC maps could aid government planners and decision-makers to analyze and manage agricultural and urban growth.

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Section: Resultsmentioning

confidence: 91%

Section: Image Classification (Segmentation)mentioning

confidence: 99%

Spatio-Temporal Analysis of Land Use and Land Cover Changes in Arid Region of Saudi Arabia

Albalawi¹

2018

GEOMATE

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“…The overall accuracy and a Kappa analysis were used to perform a classification accuracy assessment based on error matrix analysis. A standard for land use maps was set between 85 (Anderson et al, 1976 andBektas, 2003) and 90 % overall accuracy.…”

Section: Accuracy Assessmentmentioning

confidence: 99%

Land Use Change Detection using RS Data and GIS Application A case study Aswan Governorate

2014

AJAS

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Abstract:The Egyptian government and the private sector in Aswan are interested in developing Aswan governorate, which represents a large future sustainable zone for different types of land use including agricultural, urbanization, wastewater disposal, landfill and industrial sites. The governorate area is about 62726 km².However, the inhabited area does not exceed 2%. The current study focus on the analysis of the land use changes in the area since 1986 till 2003, by using modern techniques, which include RS data and GIS programs.The results showed that there were obvious changes in land use in the study area of 46382.25 km², since 1986 till 2003 where it was found a lack of arable land as much as 445.25 km² (0.96% of the study area) and a shortage of the desert lands as far as 1752.86 km² (3.78%). On the other hand, the urbanized area increased by 2571.39 km² (5.54%). These lands were utilized for building and other activities.The results also showed that although the reclaimed area increased but the old agricultural land changed to other uses such as building construction and other activities. This was clarified by producing maps showing the changes in land use.

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“…The amount of area in each of the land cover classes found in the sighting location buffer polygons was then summarized by individual and further aggregated into classes found in the Anderson Level I Land Use classification scheme (Anderson et al, 1976). These land use classes included developed, forested, agriculture, and wetland ( Table 1).…”

Section: Land Use Associationsmentioning

confidence: 99%

Land use and the spatial distribution of perfluoroalkyl compounds as measured in the plasma of bottlenose dolphins (Tursiops truncatus)

Adams¹,

Houde²,

Muir³

et al. 2008

Marine Environmental Research

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ACCEPTED MANUSCRIPT1 Abstract:The distribution of perfluoroalkyl compounds (PFCs) in the environment is well documented with higher concentrations observed in wildlife located in industrial and urban areas. This study examined the distribution of PFCs in relation to land use using blood samples collected from bottlenose dolphins during capture-release health assessment surveys conducted in Charleston, SC. The study area was partitioned into three subareas (

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A land use and land cover classification system for use with remote sensor data

Cited by 3,167 publications

References 12 publications

Spatio-Temporal Analysis of Land Use and Land Cover Changes in Arid Region of Saudi Arabia

Spatio-Temporal Analysis of Land Use and Land Cover Changes in Arid Region of Saudi Arabia

Land Use Change Detection using RS Data and GIS Application A case study Aswan Governorate

Land use and the spatial distribution of perfluoroalkyl compounds as measured in the plasma of bottlenose dolphins (Tursiops truncatus)

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