Impacts of land use and land cover changes on evapotranspiration and runoff at Shalamulun River watershed, China

2012 ◽  
Vol 43 (1-2) ◽  
pp. 23-37 ◽  
Author(s):  
Xiaoli Yang ◽  
Liliang Ren ◽  
V. P. Singh ◽  
Xiaofan Liu ◽  
Fei Yuan ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Potential Evapotranspiration ◽  
Land Use Changes ◽  
Temporal Variations ◽  
Annual Runoff ◽  
Thematic Mapper ◽  
Land Cover Changes ◽  
Barren Land ◽  
River Watershed

The study assesses the effect of land use and land cover changes (LUCC) on evapotranspiration and runoff in the Shalamulun River watershed of 2,453 km2 located in Inner Mongolia Autonomic Region of China. First, Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) images from 1987, 2001 and 2007 are used to quantify LUCC in the watershed. A knowledge-based decision tree (K-DT) classification technique is used to detect LUCC. By comparison of post-classification change among 1987, 2001 and 2007, the results showed significant modification and conversion of land use and cover of the watershed over the 20-year period 1987–2007. The results show that the forest area underwent the greatest change, decreasing by 159.2 km2 in the study period. At the same time, the area of farmland, barren land and residential land increased by 89.5, 46.4 and 25.3 km2, respectively. Subsequently, a two-source potential evapotranspiration (PET) model is used to estimate the potential evapotranspiration response to LUCC. Finally, the influence of LUCC on annual runoff is evaluated using a statistical method. LUCC potentially caused a decrease in annual PET and runoff. Meanwhile, the land use changes resulted in spatio-temporal variations of monthly PET in the growing season (April–September).

scholarly journals Stimulating Implementation of Sustainable Development Goals and Conservation Action: Predicting Future Land Use/Cover Change in Virunga National Park, Congo

2020 ◽  
Vol 12 (4) ◽  
pp. 1570 ◽  
Author(s):  
Mads Christensen ◽  
Jamal Jokar Arsanjani
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Land Cover ◽  
National Park ◽  
Sustainable Development Goals ◽  
Land Use Changes ◽  
Land Cover Changes ◽  
2030 Agenda ◽  
Development Goals ◽  
Land Cover Maps

The United Nations 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDG’s) presents a roadmap and a concerted platform of action towards achieving sustainable and inclusive development, leaving no one behind, while preventing environmental degradation and loss of natural resources. However, population growth, increased urbanisation, deforestation, and rapid economic development has decidedly modified the surface of the earth, resulting in dramatic land cover changes, which continue to cause significant degradation of environmental attributes. In order to reshape policies and management frameworks conforming to the objectives of the SDG’s, it is paramount to understand the driving mechanisms of land use changes and determine future patterns of change. This study aims to assess and quantify future land cover changes in Virunga National Park in the Democratic Republic of the Congo by simulating a future landscape for the SDG target year of 2030 in order to provide evidence to support data-driven decision-making processes conforming to the requirements of the SDG’s. The study follows six sequential steps: (a) creation of three land cover maps from 2010, 2015 and 2019 derived from satellite images; (b) land change analysis by cross-tabulation of land cover maps; (c) submodel creation and identification of explanatory variables and dataset creation for each variable; (d) calculation of transition potentials of major transitions within the case study area using machine learning algorithms; (e) change quantification and prediction using Markov chain analysis; and (f) prediction of a 2030 land cover. The model was successfully able to simulate future land cover and land use changes and the dynamics conclude that agricultural expansion and urban development is expected to significantly reduce Virunga’s forest and open land areas in the next 11 years. Accessibility in terms of landscape topography and proximity to existing human activities are concluded to be primary drivers of these changes. Drawing on these conclusions, the discussion provides recommendations and reflections on how the predicted future land cover changes can be used to support and underpin policy frameworks towards achieving the SDG’s and the 2030 Agenda for Sustainable Development.

scholarly journals Classification of land use/land cover of Aniocha north local government area, Delta state using satellite imagery

2021 ◽  
Vol 10 (3) ◽  
pp. 207-216
Author(s):  
Ugbelase Vincent Nwacholundu ◽  
Igbokwe Joel Izuchukwu ◽  
Emengini Josephine Ebele ◽  
Ejikeme Joseph Onyedika ◽  
Igbokwe Esomchukwu Chinagorom
Keyword(s):  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Local Government Area ◽  
Thematic Mapper ◽  
Population Pressure ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Average Accuracy ◽  
Landsat 7

Remote Sensing (RS) and Geographic Information System (GIS) have been established as indispensable tools in the assessment of Land use / Land cover (LULC) change. RS and GIS are important for the monitoring, modelling and mapping of land use and land cover changes across a range of spatial and temporal scales, in order to assess the extent, direction, causes, and effects of the changes. Change detection has provided suitable and wide-ranging information to various decision support systems for natural resource management and sustainable development. The main objective of the study is to assess and evaluate the extent and direction of changes in LULC of Aniocha North Local Government Area (LGA), Delta State, Nigeria to explain the changes and identify some of their effects on both the livelihoods of the local people and the local environment, and also to explore some of the conservation measures designed to overcome problems associated with land use and land cover changes. Landsat 7 Enhanced Thematic Mapper (ETM+) of 2002 with 30 meters resolution and landsat 7 Enhanced Thematic Mapper (ETM) 2014satellite images as well as GIS techniques were used to monitor the changes and to generate maps of the LULC of the area in these periods. Supervised Land Use/Land Cover classification algorithm (Maximum likelihood with null class) was used in the analysis of classification. The classification result of LandSat ETM+ (2002) revealed that farmland accounted for 36.34% of the total LULC class, followed by savannah which accounted for 24.15%. Forest built up area, and waterbody constituted 20.42%, 16.46% and 2.62% respectively. Also, the result of LandSat ETM (2014) shows that forest accounted for 38.59% followed by farmland with 30.93%. Built up area covers 25.55% while savannah and river cover 2.86% and 2.08% respectively. The classification shows 83.26 % average accuracy and 79.16 % overall accuracy for 2002 while the 2014 accuracy assessment showed 95.06% average accuracy and 94.99% overall accuracy. Growing population pressure and its associated problems, such as the increasing demand for land and trees, poor institutional and socio-economic settings, and also unfavorable government policies, such as lack of land tenure security and poor infrastructure development, have been the major driving forces behind the LULC changes.

scholarly journals CLASSIFICATION AND ASSESSMENT OF THE LAND USE – LAND COVER CHANGES IN JODHPUR CITY USING REMOTE SENSING TECHNOLOGIES

2018 ◽  
Vol XLII-5 ◽  
pp. 767-771 ◽  
Author(s):  
M. A. Saharan ◽  
N. Vyas ◽  
S. L. Borana ◽  
S. K. Yadav
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Accuracy Assessment ◽  
Assessment Method ◽  
Land Cover Changes ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
Rock Outcrops ◽  
Barren Land

<p><strong>Abstract.</strong> Land Use – Land Cover (LULC) classification mapping is an important tool for management of natural resources of an area. The remote sensing technology in recent times has been used in monitoring the changing patterns of land use-land cover. The aim of the study is to monitor the LULC changes in Jodhpur city over the period 1990–2018. Satellite imagery of Landsat 8 OLI (June, 2018) &amp;amp; Landsat TM (Oct, 1990) were used for classification analysis. Supervised classification-maximum likelihood algorithm is used in ENVI software to detect land use land cover changes. Five LULC categories were used, namely- urban area, mining area, vegetation, water bodies and other area (Rock outcrops and barren land). The LULC classified maps of two different periods i.e. 2018 and 1990 were generated on 1<span class="thinspace"></span>:<span class="thinspace"></span>50,000 scale. The accuracy assessment method was used to measure the accuracy of classified maps. This study shall be of good assistance to the town planners of Jodhpur city for the purpose of the sustainable development as per the master plan 2031.</p>

Spatio-temporal analysis of land cover changes in the evergreen and semi-evergreen rainforests: A case study in Chittagong Hill Tracts, Bangladesh

2020 ◽  
Vol 2 (2) ◽  
pp. 87-99
Author(s):  
M. Mamnun ◽  
S. Hossen
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Agricultural Land ◽  
Temporal Analysis ◽  
Present Condition ◽  
Land Cover Changes ◽  
Landsat 8 ◽  
Chittagong Hill Tracts ◽  
Barren Land ◽  
Spatio Temporal

The main purpose of this study is to describe the spatio-temporal analysis of land use and land cover status and to identify land cover changes, especially of deforestation and degradation in evergreen, semi-evergreen rainforests of Chittagong Hill Tracts from 1988-2018 by using Landsat 8 OLI-TIRS and Landsat 5 TM satellite imagery. The ArcGIS v10.5 and ERDAS Imagine v15 software were used to process satellite imageries and assess quantitative data for land-use change assessment of this study area. The study revealed that the area of forest land and water body decreased by 17.92% and 5.43% respectively from 1988-2018. On the other hand, the area of agricultural land, barren land and settlement increased by 45.66%, 312.08% and 240.01% respectively. If the present condition remains constant, the projection of future land-use/ land cover changes for the next 15 years will predict that more than 7.37% dense forest (2253.83 ha) land will be decreased and 19.60% agricultural will be converted to other land uses. This study suggests that proper policy should be adopted urgently to conserve residual forest coverage and restore it to regain its past appearance.

scholarly journals Intersection of Physical and Anthropogenic Effects on Land-Use/Land-Cover Changes in Coastal China of Jiangsu Province

2019 ◽  
Vol 11 (8) ◽  
pp. 2370 ◽  
Author(s):  
Xiaowei Chuai ◽  
Jiqun Wen ◽  
Dachang Zhuang ◽  
Xiaomin Guo ◽  
Ye Yuan ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Driving Forces ◽  
Land Use Changes ◽  
Temporal Analysis ◽  
Jiangsu Province ◽  
Land Cover Changes ◽  
Land Use Type

China is experiencing substantial land-use and land-cover change (LUCC), especially in coastal regions, and these changes have caused many ecological problems. This study selected a typical region of Jiangsu Province and completed a comprehensive and detailed spatial-temporal analysis regarding LUCC and the driving forces. The results show that the rate of land-use change has been accelerating, with land-use experiencing the most substantial changes from 2005 to 2010 for most land-use types and the period from 2010 to 2015 showing a reversed changing trend. Built-up land that occupies cropland was the main characteristic of land-use type change. Southern Jiangsu and the coastline region presented more obvious land-use changes. Social-economic development was the main factor driving increased built-up land expansion and cropland reduction. In addition, land-use policy can significantly affect land-use type changes. For land-cover changes, the normalized difference vegetation index (NDVI) for the land area without land-use type changes increased by 0.005 per year overall. Areas with increasing trends accounted for 82.43% of the total area. Both precipitation and temperature displayed more areas that were positively correlated with NDVI, especially for temperature. Temperature correlated more strongly with NDVI change than precipitation for most vegetation types. Our study can be used as a reference for land-use managers to ensure sustainable and ecological land-use and coastal management.

scholarly journals SOIL EROSION RISK ASSESSMENT DUE TO LAND USE/LAND COVER CHANGES (LULC) IN HANGAR RIVER WATERSHED, NORTHWEST ETHIOPIA

2010 ◽  
Vol 4 (4) ◽  
pp. 379-386 ◽  
Author(s):  
Nasir Gebi Tukura ◽  
Mahmud Mustefa Akalu
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Cover ◽  
Soil Loss ◽  
Management Practices ◽  
Agricultural Land ◽  
Land Cover Changes ◽  
River Watershed ◽  
Management Interventions ◽  
De Se

Soil erosion is a major environmental and economic concern affecting all continents around the world. Soil loss facilitates land degradation, threatening both agricultural and natural environments. This problem is severe in Ethiopia due to its topographic features. To evaluate the effect of land use and land cover changes on soil erosion, we studied land use changes of the Hanger River watershed, NW Ethiopia, from 2005 to 2017, using remote sensing and estimating soil erosion using the Revised Universal Soil Loss Equation. The results of land-cover changes have revealed a decrease in open forest areas, grazing land, shrub land and grass land by 33.16%, 9.20 %, 3.22 %, and 7.62 %, respectively in a fourteen years period. In the same period, there was an increase in agricultural areas by 48.73 % and dense forest by 4.74 %. The estimated mean soil erosion potential in Hanger River watershed, between 2005 and 2017, was about 55.5 and 70.5 t ha-1 year-1, respectively. For the High and Very high classes, the values increased from 33.40% to 35.74% and 6.36% to 12.81%, respectively from 2005 to 2017.Therefore, it can be concluded that there is an increasing tendency for soil erosion in the area due to changes in land cover, particularly deforestation due to agricultural land expansion. This trend should receive attention aiming to keep the stability and sustainability of this ecosystem in the future. Management interventions are necessary to improve the status and utilization of watershed resources by applying sustainable land management practices for sustainable livelihood of the local people. AVALIAÇÃO DE RISCOS DE EROSÃO DO SOLO DEVIDO A ALTERAÇÕES DO USO DO SOLO/ COBERTURA DO SOLO (LULC), NA BACIA DO RIO HANGAR, NOROESTE DA ETIÓPIAResumoA erosão do solo suscita uma grande preocupação ambiental e econômica e afeta todos os continentes. A perda de solo facilita a degradação da terra, ameaçando ambientes agrícolas e naturais. Este problema é grave na Etiópia devido às suas características topográficas. Para avaliar o efeito das mudanças no uso e cobertura da terra na erosão do solo, estudamos as mudanças no uso da bacia hidrográfica do Rio Hanger, no noroeste da Etiópia, de 2005 a 2017, usando sensoriamento remoto e estimando a erosão do solo com a Equação Universal de Perda de Solo Revisada. Os resultados das mudanças na cobertura da terra revelaram uma diminuição nas áreas de florestas abertas, pastagens, arbustos e pastagens em 33,16%, 9,20%, 3,22% e 7,62%, respectivamente, em um período de catorze anos. No mesmo período, houve um aumento nas áreas agrícolas em 48,73% e na floresta densa em 4,74%. O potencial médio estimado de erosão do solo na bacia hidrográfica do Rio Hanger, entre 2005 e 2017, foi de cerca de 55,5 e 70,5 t ha-1 ano-1, respectivamente. Para as classes Alta e Muito Alta, os valores aumentaram de 33,40% para 35,74% e 6,36% para 12,81%, respectivamente, de 2005 a 2017.Portanto, pode-se concluir que há uma tendência crescente de erosão do solo na área de estudo devido a mudanças na cobertura da terra, particularmente desmatamento, na sequência da expansão da terra agrícola. A referida tendência deve ser acompanhada, com o objetivo de se tomarem medidas adequadas que permitam manter a estabilidade e a sustentabilidade do ecossistema no futuro. É, pois, necessário adotar medidas de gestão adequadas a fim de se poder melhorar o status e a utilização dos recursos da bacia hidrográfica do Rio Hanger, aplicando práticas sustentáveis de manejo da terra para a subsistência sustentável da população local. Palavras-chave: SIG. Bacia Hidrográfica. Mudanças no uso e cobertura da terra. RUSLE. Erosão do solo.

Evaluation of Runoff Responses to Land Use Changes and Land Cover Changes in the Upper Huaihe River Basin, China

2012 ◽  
Vol 17 (7) ◽  
pp. 800-806 ◽  
Author(s):  
Qu Simin ◽  
Bao Weimin ◽  
Shi Peng ◽  
Yu Zhongbo ◽  
Li Peng ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Land Use Changes ◽  
Land Cover Changes ◽  
Huaihe River Basin ◽  
Huaihe River
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