Land evaluation and site assessment for the basic farmland protection in Lingyuan County, Northeast China

2021 ◽  
pp. 128097
Author(s):  
Fengkui Qian ◽  
Rattan Lal ◽  
Qiubing Wang
Soil Horizons ◽  
1989 ◽  
Vol 30 (2) ◽  
pp. 31
Author(s):  
G. W. Hurt ◽  
R. B. Brown ◽  
P. E. Pilny

Author(s):  
W. R. Dearman

AbstractMaps and plans represent essential tools of the trade for planners and applied earth scientists alike, and thematic maps produced by geologists should be able to be understood by planners. Geology, geotechnics, geomorphology, hydrogeology and related sciences can provide essential data on some of the constraints to development and resources for development. Recognition of these permits safer, more cost- effective planning and development, and allows rational decisions to be taken as far as the exploitation of resources is concerned. Consequently the Department of Environment had been commissioning research to investigate the best means of collecting, collating, interpreting and presenting, in sets of maps and reports, geological results of direct applicability to land-use planning. For example, some years ago initial studies in thematic mapping were undertaken by the British Geological Survey and more recently a number of private consultants have carried out such work. Unfortunately, the results of some of these surveys have not, as yet, been published.


Author(s):  
Leah Greden Mathews ◽  
Art Rex ◽  
Anne Lancaster

Community land use decisions benefit from spatially explicit community preferences; yet, the methods for incorporating the preferences for intangible values are challenging to represent spatially. The purpose of this chapter is to provide an introduction to the Total Value Assessment Tool for Farmland (TVAL-Farm), a tool that incorporates scenic quality and cultural heritage elements to create an enhanced Land Evaluation and Site Assessment (LESA) model. The chapter describes the development of TVAL-Farm and its implications for farmland preservation in Western North Carolina. The enhancement of the LESA model created by TVAL-Farm provides insight and a framework on how to collect and incorporate qualitative public values within the quantitative environment of a Geographic Information Systems (GIS). Inclusion of these public values is essential for holistically valuing land parcels and understanding community land use preferences. Increased use of modern technologies in the data collection process will promote a cost-effective method of community participation and engagement.


Author(s):  
P. G. Fookes

AbstractMost natural hazards can be dealt with be measures involving avoidance or prevention, the causes of such hazards being relatively well understood so that identification and prediction (admittedly not in absolute terms) can be made. Nonetheless in many parts of the world, the response to natural hazards by means of risk evaluation and consequent land use planning is lacking. Many methods are available to evaluate the risk which potential hazards present. The results can be used to produce hazard-risk maps. It could be another generation or two before there is enough user generated feedback to help establish a model for mapmakers to follow.


1987 ◽  
Vol 11 (3) ◽  
pp. 407-412 ◽  
Author(s):  
Melanie Tyler ◽  
Liese Hunter ◽  
Frederick Steiner ◽  
Dennis Roe

1987 ◽  
Vol 11 (3) ◽  
pp. 379-388 ◽  
Author(s):  
Todd Stamm ◽  
Ron Gill ◽  
Kari Page

2012 ◽  
Vol 3 (3) ◽  
pp. 58-69 ◽  
Author(s):  
Art Rex ◽  
Leah Greden Mathews ◽  
Anne Lancaster

The Total Value Assessment Tool for Farmland (TVAL-Farm) is a tool which incorporates scenic quality and cultural heritage elements to create an enhanced Land Evaluation and Site Assessment (LESA) model. The enhancement of the LESA model provides insight and a framework on how to collect and incorporate qualitative public values within the quantitative environment of a Geographic Information Systems (GIS). Inclusion of these public values is essential for holistically valuing land parcels and using LESA to make land protection decisions.


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