Land Use and Land Cover Changes in Tankhuwakhola Watershed, Eastern Hills Nepal

The Third Pole Journal of Geography Education ◽

10.3126/ttp.v18i0.28007 ◽

2019 ◽

pp. 55-70

Author(s):

Shambhu Prasad Khatiwada

Keyword(s):

Land Use ◽

Land Cover ◽

Market Integration ◽

Local Community ◽

Satellite Image ◽

Climatic Conditions ◽

Land Cover Changes ◽

Road Transportation ◽

Local Livelihoods ◽

Different Sources

This paper examines land use and land cover changes in the eastern hills in general and Tankhuwakhola watershed in particular. More specifically, it attempts to analyze the spatial pattern of land use and land cover changes in the Tankhuwakhola watershed. Land is an integral part of the local community addressing conservation of water, biodiversity resources, and agricultural activities for improving local livelihoods through diversified activities. Land use can be considered as to reflect the degree of human activities directly related to land and making use of its resources and land cover is defined as the observed bio-physical cover of the watershed. The local communities are involved in land used in various ways, ranging from agriculture, forestry, settlements, and water bodies and so on. It shows that land use and land cover change comprises multidisciplinary in nature. This paper concludes that changes in land cover may reveal a response to a shift in local climatic conditions, increasing assess to road transportation, market integration and adoption of new agricultural crops. For this purpose, the data are collected from different sources, including satellite image and topo-sheet maps.

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Land Use and Land Cover Changes in the Owabi Reservoir Catchment, Ghana: Implications for Livelihoods and Management

Geosciences ◽

10.3390/geosciences9070286 ◽

2019 ◽

Vol 9 (7) ◽

pp. 286 ◽

Cited By ~ 1

Author(s):

Philip Antwi-Agyei ◽

Felix Kpenekuu ◽

Jonathan N. Hogarh ◽

Kwasi Obiri-Danso ◽

Robert C. Abaidoo ◽

...

Keyword(s):

Land Use ◽

Land Cover ◽

Community Involvement ◽

Anthropogenic Activities ◽

Bare Soil ◽

Land Cover Changes ◽

Catchment Management ◽

Forest Clearing ◽

Local Livelihoods ◽

Erdas Imagine

Reservoir catchments in Ghana have undergone significant changes in recent years with major implications for socio-economic development and local livelihoods. We studied land use and land cover changes and their impacts on livelihoods in the Owabi reservoir catchment from 1970 to 2014 using Landsat, ERDAS Imagine and Arc Geographic Information System (ArcGIS 10.2) software supplemented with participatory approaches including focus group discussions, key informant interviews and questionnaire surveys with 400 households. Our results showed that, since 1970, 24.6% of high-density forests and 15.8% of sparse forests have disappeared, while the built-up area has increased from 9.8% to 56.6%. Additionally, the proportion of bare soil (areas that do not have vegetation cover due to forest clearing and other anthropogenic activities) has increased, while the areas of waterbodies have declined. We identified urbanisation and lack of community involvement in catchment management as the key factors driving the land cover changes that have adversely affected the livelihoods of the local fringe communities. This study highlights the threats from urbanisation to land cover changes and identifies the key drivers of land use change. For effective and sustainable management of natural resources, the local communities should be more actively involved in the decision-making process regarding the management of their individual catchments.

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A comparison and classification of land use land cover to estimate their effect on environment: case study in Baghdad city

Journal of Physics Conference Series ◽

10.1088/1742-6596/2114/1/012017 ◽

2021 ◽

Vol 2114 (1) ◽

pp. 012017

Author(s):

Bushra A. Ahmed ◽

Ghaida S. Hadi

Keyword(s):

Land Use ◽

Land Cover ◽

Satellite Image ◽

Major Change ◽

Land Cover Changes ◽

Land Use Land Cover ◽

Two Cities ◽

Landsat Satellite

Abstract This study compared and classified of land use and land cover changes by using Remote Sensing (RS) and Geographic Information Systems (GIS) on two cities (Al-Saydiya city and Al-Hurriya) in Baghdad province, capital of Iraq. In this study, Landsat satellite image for 2020 were used for (Land Use/Land Cover) classification. The change in the size of the surface area of each class in the Al-Saydiya city and Al-Hurriya cities was also calculated to estimate their effect on environment. The major change identified, in the study, was in agricultural area in Al-Saydiya city compare with Al-Hurriya city in Baghdad province. The results of the research showed that the percentage of the green area from the total area in Al-Saydiya city is 34.95%, while in Al-Hurriya is 27.53%. Therefore, available results of land use and land cover changes can provide critical input to decision-making of environmental management and planning the future.

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Detection of land use-land cover changes in Anzali Wetland using a remote sensing-based approach

10.5194/egusphere-egu21-12119 ◽

2021 ◽

Author(s):

Amirmoez Jamaat ◽

Ammar Safaie

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Caspian Sea ◽

Satellite Image ◽

Land Cover Changes ◽

Land Use Land Cover ◽

Anzali Wetland ◽

High Resolution Satellite Images

Wetlands are valuable ecological resources which play an essential and important role in the ecosystem of the region. Hence, there is a crucial need for monitoring and characterization of wetland changes caused by natural and anthropogenic disturbance. In this study, we developed a remote sensing-based approach to investigate long term land use/land cover changes (LULC) of Anzali Lagoon located in the southern coast of the Caspian Sea. In recent years, Anzali Wetland has experienced severe threats by human- and climate-induced changes and is drying up at an alarming rate. Here, an enhanced LULC change detection method&#160;is presented using a seasonal harmonic analysis of satellite image based on Normalized Difference Vegetation Index (NDVI) &#160;&#160;that combined with remotely-sensed thermal observations. Machine learning and object-oriented approaches were implemented on high-resolution satellite images to obtain&#160;a comprehensive&#160;land-use classification map of the study area. Then, wetland vegetation changes, such as marshes, were investigated during 2013 to 2020. Additionally, the long-term sea level trend in Caspian Sea was used, along with groundwater storage changes derived by GRACE satellite data, to study their impacts on wetland ecological changes. Results of the developed hybrid model indicate that the western and central parts of the wetland are more subjected to drought stress. Moreover, spatial and temporal changes in density of aquatic plants related to external stressors were identified in the wetland. The results of this study enhance a better understanding of long-term LULC changes in coastal wetlands in response to climate changes and anthropogenic activities.&#160;&#160;

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Performance Evaluation of SWAT Model for Land Use and Land Cover Changes under different Climatic Conditions: A Review

Hydrology Current Research ◽

10.4172/2157-7587.1000216 ◽

2015 ◽

Vol 06 (03) ◽

Cited By ~ 10

Author(s):

Gebremedhin Kiros ◽

Amba Shetty ◽

Lakshman Nandagiri

Keyword(s):

Land Use ◽

Performance Evaluation ◽

Land Cover ◽

Swat Model ◽

Climatic Conditions ◽

Land Cover Changes

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Assessment of Land Use/Land Cover Changes in Coimbatore North Taluk, Tamil Nadu, India using GIS and Remote Sensing

Asian Review of Social Sciences ◽

10.51983/arss-2018.7.2.1436 ◽

2018 ◽

Vol 7 (2) ◽

pp. 19-21

Author(s):

M. Ganeshmoorthi

Keyword(s):

Land Use ◽

Land Cover ◽

Tamil Nadu ◽

Satellite Image ◽

Geographical Area ◽

Land Cover Changes ◽

Land Use Land Cover ◽

Gis And Remote Sensing ◽

Detection Analysis ◽

Erdas Imagine

The main aim of the present study is to assess Land use/land cover changes in Coimbatore North Taluk for the period of 2001 and 2018. The study area is located in Coimbatore district, Tamil Nadu state and geographical area is 479.5 km2. To analyze land use/land cover changes, a temporal satellite images Landsat 7 (2001) Sentinel-2 (2018) was used. Vector data for the study area was extracted from the SOI toposheets and taluk sheets. The above satellite image was classified into four major classes viz. water bodies, croplands, built-up area, and forest using hybrid supervised classification method. ERDAS Imagine 2015 and ArcGIS 10.5 software’s were sued to classify the satellite image and assess the land use/land cover changes for the above periods. The land use/land cover change detection analysis revealed that built up area was increased compared to 2001 and all other classes decreased. Urbanization is the primary cause of the land use and land cover changes for the study area.

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