Impacts of a mineral lick-centred land use system on woody vegetation cover in an East African Savannah

2018 ◽  
Vol 56 (3) ◽  
pp. 591-600
Author(s):  
Habtamu Teka ◽  
I.C. Madakadze ◽  
Abubeker Hassen ◽  
Ayana Angassa ◽  
Mohammed Mussa
Keyword(s):  
Land Use ◽  
Vegetation Cover ◽  
Woody Vegetation ◽  
East African ◽  
Land Use System ◽  
Mineral Lick

scholarly journals Rainfall, land use and woody vegetation cover change in semi-arid Australian savanna

2005 ◽  
Vol 93 (3) ◽  
pp. 596-606 ◽  
Author(s):  
R. J. FENSHAM ◽  
R. J. FAIRFAX ◽  
S. R. ARCHER
Keyword(s):  
Land Use ◽  
Vegetation Cover ◽  
Woody Vegetation ◽  
Semi Arid ◽  
Vegetation Cover Change

Transportation Economic and Land Use System

1998 ◽  
Vol 1617 (1) ◽  
pp. 84-89 ◽  
Author(s):  
Louis J. Pignataro ◽  
Joseph Wen ◽  
Robert Burchell ◽  
Michael L. Lahr ◽  
Ann Strauss-Wieder
Keyword(s):  
Land Use ◽  
Information System ◽  
Management Tool ◽  
Improvement Program ◽  
Transportation Projects ◽  
Accessible Information ◽  
Surface Transportation ◽  
Land Use System ◽  
Land Use Effects ◽  
Computer Based

The purpose of the Transportation Economic and Land Use System (TELUS) is to convert the transportation improvement program (TIP) into a management tool. Accordingly, the system provides detailed and easily accessible information on transportation projects in the region, as well as their interrelationships and impacts. By doing so, TELUS enables public-sector agencies to meet organizational, Intermodal Surface Transportation Efficiency Act, state, and other mandates more effectively. The objectives are accomplished by providing the computer-based capability to analyze, sort, combine, and track transportation projects in or under consideration for a TIP; assessing the interrelationships among significant transportation projects; estimating the regional economic and land use effects of transportation projects; and presenting project information in an easily understood format, including geographic information system formats.

scholarly journals Woody Vegetation Cover, Attrition, and Patch Metrics over Eight Decades in Central Texas, United States

2021 ◽  
Vol 78 ◽  
pp. 54-66
Author(s):  
Edward C. Rhodes ◽  
Jay P. Angerer ◽  
William E. Fox ◽  
Jason R. McAlister
Keyword(s):  
United States ◽  
Vegetation Cover ◽  
Woody Vegetation ◽  
Central Texas

scholarly journals Geospatial analysis of wetlands based on land use/land cover dynamics using remote sensing and GIS in Sindh, Pakistan

2021 ◽  
Vol 104 (2) ◽  
pp. 003685042110261
Author(s):  
Hamza Islam ◽  
Habibuulah Abbasi ◽  
Ahmed Karam ◽  
Ali Hassan Chughtai ◽  
Mansoor Ahmed Jiskani
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Kappa Statistics ◽  
Natural Ecosystem ◽  
Land Use Land Cover ◽  
Dry Land ◽  
Lulc Changes ◽  
Manchar Lake

In this study, the Land Use/Land Cover (LULC) change has been observed in wetlands comprises of Manchar Lake, Keenjhar Lake, and Chotiari Reservoir in Pakistan over the last four decades from 1972 to 2020. Each wetland has been categorized into four LULC classes; water, natural vegetation, agriculture land, and dry land. Multitemporal Landsat satellite data including; Multi-Spectral Scanner (MSS), Thematic Mapper (TM), and Operational Land Imager (OLI) images were used for LULC changes evaluation. The Supervised Maximum-likelihood classifier method is used to acquire satellite imagery for detecting the LULC changes during the whole study period. Soil adjusted vegetation index technique (SAVI) was also used to reduce the effects of soil brightness values for estimating the actual vegetation cover of each study site. Results have shown the significant impact of human activities on freshwater resources by changing the natural ecosystem of wetlands. Change detection analysis showed that the impacts on the land cover affect the landscape of the study area by about 40% from 1972 to 2020. The vegetation cover of Manchar Lake and Keenjhar Lake has been decreased by 6,337.17 and 558.18 ha, respectively. SAVI analysis showed that soil profile is continuously degrading which vigorously affects vegetation cover within the study area. The overall classification accuracy and Kappa statistics showed an accuracy of >90% for all LULC mapping studies. This work demonstrates the LULC changes as a critical monitoring basis for ongoing analyses of changes in land management to enable decision-makers to establish strategies for effectively using land resources.

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