Spatio-Temporal Change of Land Use and Land Cover in Chao River Basin Based on GIS

2013 ◽  
Vol 353-356 ◽  
pp. 3498-3501
Author(s):  
Zi Jun Li ◽  
Can Juan Gong
Keyword(s):  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Temporal Change ◽  
Arable Land ◽  
Water Source ◽  
Gis Technology ◽  
Spatio Temporal ◽  
Resources Conservation ◽  
Ecological Construction

Spatio-temporal change of land use and land cover from 1985 to 2005 in Chao River Basin, the important water source to Miyun Reservoir, was analyzed based on GIS technology. The results showed that woodland was the main land cover type in the basin, and then the arable land and grassland. During 1985-2005, the area of woodland increased, while the area of grassland greatly reduced. Changes of land use and land cover were more violent from 1985 to 1995 than that from 1995 to 2005. There were obvious regional differences in land use change in the basin. The conversion from grassland to woodland was the dominant process of LUCC in the basin, and this was relevant to the national ecological construction policies on water resources conservation.

Spatio-temporal Change in Land Use and Land Cover: Implications for Conservation of Fina Faunal Reserve in Mali

2015 ◽  
Vol 10 (2) ◽  
pp. 34
Author(s):  
Karamoko Sanogo ◽  
Abdulkadir Aishetu ◽  
AA Okhimamhe ◽  
Cheick H Diakité
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Temporal Change ◽  
Spatio Temporal

scholarly journals Monitoring Land Use/Land Cover Changes in a River Basin due to Urbanization using Remote Sensing and GIS Approach

2014 ◽  
Vol XL-8 ◽  
pp. 949-953
Author(s):  
S. Shukla ◽  
M. V. Khire ◽  
S. S. Gedam
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Remote Sensing And Gis ◽  
Land Use Land Cover ◽  
Agricultural Lands ◽  
Sensing Technology ◽  
Liss Iii ◽  
Spatio Temporal

Faster pace of urbanization, industrialization, unplanned infrastructure developments and extensive agriculture result in the rapid changes in the Land Use/Land Cover (LU/LC) of the sub-tropical river basins. Study of LU/LC transformations in a river basin is crucial for vulnerability assessment and proper management of the natural resources of a river basin. Remote sensing technology is very promising in mapping the LU/LC distribution of a large region on different spatio-temporal scales. The present study is intended to understand the LU/LC changes in the Upper Bhima river basin due to urbanization using modern geospatial techniques such as remote sensing and GIS. In this study, the Upper Bhima river basin is divided into three adjacent sub-basins: Mula-Mutha sub-basin (ubanized), Bhima sub-basin (semi-urbanized) and Ghod sub-basin (unurbanized). Time series LU/LC maps were prepared for the study area for a period of 1980, 2002 and 2009 using satellite datasets viz. Landsat MSS (October, 1980), Landsat ETM+ (October, 2002) and IRS LISS III (October 2008 and November 2009). All the satellite images were classified into five LU/LC classes viz. built-up lands, agricultural lands, waterbodies, forests and wastelands using supervised classification approach. Post classification change detection method was used to understand the LU/LC changes in the study area. Results reveal that built up lands, waterbodies and agricultural lands are increasing in all the three sub-basins of the study area at the cost of decreasing forests and wastelands. But the change is more drastic in urbanized Mula-Mutha sub-basin compared to the other two sub-basins.

scholarly journals Land use/ Land cover Change Detection in Auranga River Basin, Jharkhand

2020 ◽  
Vol 66 (1) ◽  
pp. 51-58
Author(s):  
Chnadrakesh Maurya ◽  
◽  
V. N. Sharma ◽  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Supervised Classification ◽  
Land Resource ◽  
Land Use Land Cover ◽  
Ancillary Data ◽  
Classification Technique ◽  
Spatio Temporal ◽  
Cover Pattern

Land use is a man-made dynamic process in which human uses land resource to fulfil their various economic, social and cultural needs and at the same time it also provides a base for development. The proper management needed for sustainable development of land can improve the eco-system and its productivity in a particular geographical region. The present study focuses on spatio-temporal changes in land use and land cover pattern in Auranga river basin of Jharkhand using geospatial approach. Supervised classification technique was applied in this study to detect land use/ land cover changes. The main objective of the study is to analyse temporal change of land use/ land cover pattern during 1996, 2007 and 2018 using various dataset as well as other ancillary data. The result reveales both increase and decrease of the different land use/ land cover classes from 1996 to 2018.

scholarly journals Spatio-temporal Change of Drainage Network at Human-Nature Interface and Its Future Implication to the Estuarine Environment in Gosaba Island, Sundarban, India

2020 ◽  
Vol 13 (4) ◽  
pp. 148-158
Author(s):  
Soumen Ghosh ◽  
Biswaranjan Mistri
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Temporal Change ◽  
Saline Water ◽  
Drainage System ◽  
Secondary Data ◽  
Estuarine Environment ◽  
Drainage Network ◽  
Land Use Land Cover ◽  
Spatio Temporal

Gosaba C.D. Block is an active tidal island of the Indian Sundarban. In this island, human-induced modification of the natural drainage system poses serious threats to the estuarine environment. It was started during the British colonial period through the construction of embankment to protect the reclaimed coastal land from saline water ingression. The rapid growth of population over the last few decades has triggered the changes in the drainage network and also altered the land use land cover of the study area. The human encroachment on the drainage area has hampered the sedimentation process as well as water circulation in the delta. As a result, the island is gradually transforming into saucer-shaped form, which aggravates various coastal threats like flood inundation, waterlogging and embankment breaching during extreme environmental events. To study the spatio-temporal change of the drainage network pattern from 1955 to 2018, different multi-temporal satellite images, US Army Toposheet, Census of India Report (2001 and 2011) and Human Development Report (2014) have been used as a source of secondary data for the analysis in ArcGIS environment. In addition to this, instrumental surveying has been done to measure the slope direction in relation to land use land cover and a questionnaire survey was conducted to understand the livelihood status of people influenced by various coastal threats and risks due to the drainage congestion. The study reveals that population density has gradually increased in recent decades and is negatively correlated with the drainage density on the island. The choking of the surface drainage canals has increased the problem of waterlogging in agricultural fields, which affected their productivity. Therefore, a strategy for management of the drainage network needs to be urgently implemented in order to protect the life and livelihood of rural people from various coastal threats.

scholarly journals Assessment of Ecosystem Services Value Based on Land Use and Land Cover Changes in the Transboundary Karnali River Basin, Central Himalayas

2019 ◽  
Vol 11 (11) ◽  
pp. 3183 ◽  
Author(s):  
Bhaskar Shrestha ◽  
Qinghua Ye ◽  
Nitesh Khadka
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
River Basin ◽  
Geographical Information ◽  
Barren Land ◽  
Central Himalayas ◽  
Ecosystem Services Value ◽  
Management Interventions ◽  
Spatio Temporal

Land use and land cover change (LUCC) and its spatio-temporal characteristics are essential for natural resource management and sustainable development. LUCC is one of the major factors that affect the ecosystem and the services it provides. In this study, we used remote sensing techniques and a geographical information system to extract the land cover categories based on the Object-Based Image Analysis (OBIA) technique from Landsat TM/ETM/OLI satellite images in the transboundary Karnali River Basin (KRB, China and Nepal) of central Himalayas from 2000 to 2017. Spatio-temporal integrated methodology—Tupu was used to spatially show the LUCC as well as spatial characteristics of the arisen Tupu and shrunken Tupu. In addition, the ecosystem services value (ESV) were obtained and analyzed for each land cover category. In 2017, forest covered the highest area (33.45%) followed by bare area (30.3%), shrub/grassland (18.49%), agriculture (13.12%), snow/ice (4.32%), waterbody (0.3%) and built-up area (0.04%) in the KRB. From 2000 to 2017, the areas of forest, waterbody and snow/ice have decreased by 0.59, 6.14, and 1072.1 km2, respectively. Meanwhile, the areas of shrub/grassland, agriculture, barren land, and built-up categories have increased by 82.21, 1.44, 991.97, and 3.11 km2, respectively. These changes in the land cover have led to an increase in the ESV of the basin, especially the increase in shrub/grassland, agriculture, and water bodies (in the higher elevation). The total ESV of the basin was increased by $1.59 × 106 from 2000 to 2017. Anthropogenic factors together with natural phenomena drive LUCC in the basin and thus the ESV. The findings of this study could facilitate the basin-level policy formulation to guide future conservation and development management interventions.

Evaluation of land use and land cover Spatio-temporal change during rapid Urban sprawl from Lahore, Pakistan

Urban Climate ◽  
2021 ◽  
Vol 39 ◽  
pp. 100931
Author(s):  
Shah Fahad ◽  
Wei Li ◽  
Akhtar Hussain Lashari ◽  
Akhtar Islam ◽  
Lubna Hashim Khattak ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Sprawl ◽  
Temporal Change ◽  
Spatio Temporal

scholarly journals Historic and Simulated Desert-Oasis Ecotone Changes in the Arid Tarim River Basin, China

2021 ◽  
Vol 13 (4) ◽  
pp. 647
Author(s):  
Fan Sun ◽  
Yi Wang ◽  
Yaning Chen ◽  
Yupeng Li ◽  
Qifei Zhang ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Markov Model ◽  
River Basin ◽  
Arable Land ◽  
Current Trend ◽  
Ecological Crisis ◽  
Tarim River ◽  
Tarim River Basin ◽  
Desert Oasis

The desert-oasis ecotone, as a crucial natural barrier, maintains the stability of oasis agricultural production and protects oasis habitat security. This paper investigates the dynamic evolution of the desert-oasis ecotone in the Tarim River Basin and predicts the near-future land-use change in the desert-oasis ecotone using the cellular automata–Markov (CA-Markov) model. Results indicate that the overall area of the desert-oasis ecotone shows a shrinking trend (from 67,642 km2 in 1990 to 46,613 km2 in 2015) and the land-use change within the desert-oasis ecotone is mainly manifested by the conversion of a large amount of forest and grass area into arable land. The increasing demand for arable land for groundwater has led to a decline in the groundwater level, which is an important reason for the habitat deterioration in the desert-oasis ecotone. The rising temperature and drought have further exacerbated this trend. Assuming the current trend in development without intervention, the CA-Markov model predicts that by 2030, there will be an additional 1566 km2 of arable land and a reduction of 1151 km2 in forested area and grassland within the desert-oasis ecotone, which will inevitably further weaken the ecological barrier role of the desert-oasis ecotone and trigger a growing ecological crisis.

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