Land use/cover change detection based on remote sensing data (A case study; Neka Basin)

Solaimani, Karim; Arekhi, Maliheh; Tamartash, R.; Miryaghobzadeh, M.

doi:10.5251/abjna.2010.1.6.1148.1157

Cited by 33 publications

(15 citation statements)

References 41 publications

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“…For its part, the PCA evidenced that C2 is closely related to agricultural practices (RA, CP, and IP account for the higher nutrient levels in sites TM, JL, RG, and PA), contributing to high nitrogen (NO 2 and NO 3 ) and phosphorus (O-PO 4 ) inputs. This has been highlighted by various authors [47][48][49][50], who point out that increased nutrient levels in water bodies are directly related to the use of agrochemicals, with higher concentrations during the rainy season as a result of leaching and runoff. This fact evidences the need to implement best management practices to prevent excess nutrient discharges into the river.…”

Section: Discussionmentioning

confidence: 95%

“…The zone of the river associated with C3 requires the establishment of wastewater treatment facilities before discharge into the river. In all cases, the studies relating land-use changes at different spatio-temporal scales show that forest clearing or replacement of natural vegetation coverage within a basin leads to the deterioration of water quality [48,49,52].…”

Section: Discussionmentioning

confidence: 99%

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Impact of Changes of Land Use on Water Quality, from Tropical Forest to Anthropogenic Occupation: A Multivariate Approach

Rodríguez-Romero

Rico-Sánchez

Mendoza-Martínez

et al. 2018

Water

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Worldwide, it is acknowledged that changes of land use influence water quality; however, in tropical forests, the relationship between land use and water quality is still poorly understood. This study assessed spatial and seasonal variations in water quality, and the relationship between water quality and changes of land use in the Bobos-Nautla River, whose upper course runs across a patch of a tropical cloud forest. Spatial and seasonal variations in water quality and land use were assessed with multivariate tools. A cluster analysis, as well as a Principal Component Analysis (PCA-3D), identified three groups of sites: (1) an upper portion, which showed the best water quality and the broadest natural vegetation coverage; (2) a middle course, with high nitrogen and phosphorus concentrations associated with extensive agricultural uses; and (3) a lower course, characterized by the highest levels of total and fecal coliforms, as well as ammonia nitrogen, associated with the highest percentage of urbanization and human settlements. Our findings demonstrate the impact of changes of land use on water quality of rivers running through cloud forests in tropical zones, which are currently endangered ecosystems.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

Impact of Changes of Land Use on Water Quality, from Tropical Forest to Anthropogenic Occupation: A Multivariate Approach

Rodríguez-Romero

Rico-Sánchez

Mendoza-Martínez

et al. 2018

Water

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“…While a few land use/cover change studies used remotely sensed data from sources with a relatively similar scale [38,39], differences in the scales of the input data were not taken into consideration by many authors that have used satellite images, mainly Landsat images for land use/land cover studies in different parts of the world like in Tanzania [40,41], in Uganda [42,43]; in Ghana [44], in Nepal [45,46], in Kenya [47][48][49] in Nigeria [50][51][52][53], in Zimbabwe [54], in India [55][56][57], in Turkey [58][59][60], in Iran [61,62], and in Bangladesh [63][64][65]. Similarly, differences in the scales of the remotely sensed input data were not considered in most of the land use/cover studies that have been done in Ethiopia [12,[66][67][68].…”

Section: Discussionmentioning

confidence: 99%

Identifying Land Use/Cover Dynamics in the Koga Catchment, Ethiopia, from Multi-Scale Data, and Implications for Environmental Change

Yeshaneh

Wagner

Exner-Kittridge

et al. 2013

IJGI

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This study analyzed more than 50 years of land cover and land use changes in the 260 km 2 Koga catchment in North Western Ethiopia. The data used includes 1:50,000 scale aerial photographs, Landsat MSS, TM and ETM images, and ASTER images together with ground truth data collected through field surveys and community elders' interviews. Aerial photographs have high spatial resolution but provide lower spectral resolution than satellite data. While most land use/cover change studies compare changes from different spatial scales, this study applied land use/cover classification techniques to bring the data to a relatively similar scale. The data revealed that woody vegetation decreased from 5,576 ha to 3,012 ha from the 1950s to 2010. Most of the deforestation took place between the 1970s and 1980s, but there is an increasing trend since then. No significant changes were observed in the area used for agriculture that comprises the pastures and crop fields since the 1950s, while there is an enormous increase in the area used for settlement, due to a tremendous increase in population from one point in time to another. The bare lands that used to exist in previous years were found to be totally covered with other land cover/use classes and no bare lands were observed in the study area in the year 2010. Population pressure and land use policies were found to be reasons for the changes in land use/cover while soil degradation,

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“…Change detection is valuable in many applications related to land use and land cover (LULC) changes detection including cultivation, urban expansion and landscape changes (Hegazy & Kaloop, 2015;Imbernon, 1999;Solaimani et al, 2010). Understanding landscape patterns, changes and interactions between human activities and natural phenomenon are essential for proper land management and decision improvement (Rawat & Kumar, 2015).…”

Section: Introductionmentioning

confidence: 99%

Assessing land use and land cover change detection using remote sensing in the Lake Tana Basin, Northwest Ethiopia

Tewabe

Fentahun

2020

Cogent Environmental Science

123

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Land use land cover (LULC) change detection based on remote sensing data is an important source of information for various decision support systems. Information derived from land use and land cover change detection is important to land conservation, sustainable development, and management of water resources. This purpose of this study is therefore concerned with identifying the change in land use and land cover detection of the Tana basin. To identify land cover changes detection; remote sensing data, satellite imagery and image processing techniques had done within three dates of 1986, 2002 and 2018 using Land sat TM 30 m resolution images. ENVI and Arc GIS soft wares had used to identify the changes. The classification had done using six land cover (water body, bushland, grassland, forestland, cultivated, and residential land) class. Preprocessing and classification of the images had analyzed carefully and accuracy assessment was tested separately using the kappa coefficient. The results showed that overall accuracy in the basin was 84.21%, 83.32% and 91.40% and kappa coefficient of 79.02%, 83.32%, 89.66% for the years 1986, 2002 and 2018 respectively. This study indicated that in the last 32 years period, agricultural land and residential areas had significantly increased by 15.61% and 8.05% respectively in the basin. Therefore, proper land management Dires Tewabe ABOUT THE AUTHOR Dires Tewabe is aresearcher at Adet Agricultural Research Center, Ethiopia. He had done research activities in water resource management, water quality, irrigation agronomy, and related issues. He has the interest conduct research on water resource management and planning. Temesgen Fentahun is a researcher at Pawe Agricultural Research Center, Ethiopia. He had researched conservation agriculture and water productivity and related issues. He has the interest to do research related to agricultural water management.

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Land use/cover change detection based on remote sensing data (A case study; Neka Basin)

Cited by 33 publications

References 41 publications

Impact of Changes of Land Use on Water Quality, from Tropical Forest to Anthropogenic Occupation: A Multivariate Approach

Impact of Changes of Land Use on Water Quality, from Tropical Forest to Anthropogenic Occupation: A Multivariate Approach

Identifying Land Use/Cover Dynamics in the Koga Catchment, Ethiopia, from Multi-Scale Data, and Implications for Environmental Change

Assessing land use and land cover change detection using remote sensing in the Lake Tana Basin, Northwest Ethiopia

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