Sustainable economic growth within environmental limits. volume 1: guidance for the east midlands

LUC and GHK have developed a tool for setting environmental limits that local communities and other stakeholders can use. The three-step approach is based on the participation of the local community and other interested stakeholders, such as statutory agencies and businesses. It enables them to debate the use of important national, regional and local environmental assets, and the potential economic and social implications of setting environmental limits. The approach also provides a tool that can usefully support and inform other assessment requirements, such as Sustainability Appraisal/Strategic Environmental Assessment, Habitats Regulations Assessment and Equality Impact Assessment/Health Impact Assessment

Satellite remote sensing for ice sheet research

Potential research applications of satellite data over the terrestrial ice sheets of Greenland and Antarctica are assessed and actions required to ensure acquisition of relevant data and appropriate processing to a form suitable for research purposes are recommended. Relevant data include high-resolution visible and SAR imagery, infrared, passive-microwave and scatterometer measurements, and surface topography information from laser and radar altimeters

Sustainable economic growth within environmental limits hypothetical case study: 'limitville'

A new approach to delivering ‘sustainable economic growth within environmental limits’ has been developed for the East Midlands. The approach is described in detail in a guidance document prepared by Land Use Consultants and GHK Consulting for emda and partners. The ‘Limitville’ case study was developed to test and illustrate the new approach

Land use in rural New Zealand: spatial land use, land-use change, and model validation

Abstract Land is an important social and economic resource. Knowing the spatial distribution of land use and the expected location of future land-use change is important to inform decision makers. This paper documents and validates the baseline land-use maps and the algorithm for spatial land-use change incorporated in the Land Use in Rural New Zealand model (LURNZ). At the time of writing, LURNZ is the only national-level land-use model of New Zealand. While developed for New Zealand, the model provides an intuitive algorithm that would be straightforward to apply to different locations and at different spatial resolutions. LURNZ is based on a heuristic model of dynamic land-use optimisation with conversion costs. It allocates land-use changes to each pixel using a combination of pixel probabilities in a deterministic algorithm and calibration to national-level changes. We simulate out of sample and compare to observed data. As a result of the model construction, we underestimate the “churn” in land use. We demonstrate that the algorithm assigns changes in land use to pixels that are similar in quality to the pixels where land-use changes are observed to occur. We also show that there is a strong positive relationship between observed territorial-authority-level dairy changes and simulated changes in dairy area

Spatio Temporal Land Use Land Cover Change Mapping of Malete Elemere: Implication on Development Planning of Emerging Communities

The use of Ecosystem and Biodiversity mapping, land use land cover change detection has been advocated in preparation of developmental master plan in towns and cities. Noticeable changes have been observed within Malete Elemere community since the establishment of Kwara State University Malete, yet its spatial pattern and socio ecological implication have not been investigated. This work seek to determine and produce land cover land use change map of Malete Elemere over the last 10 years and post 15 year periods through change detection techniques so as to evaluate the impact of the establishment of Kwara State university on the settlement spatial development. Landsat 7 Enhanced Thematic Mapper Plus (ETM+) satellite images of 2005, 2010 and 2015 of the study area were acquired from USGS at spatial resolution of 30 m. Radiometric correction were applied to all the images using radiance modules in Idrisi32 with radiance spectral value set at DN 0 (Lmin) and 255 (Lmax). An unsupervised classification was carried out on the composite images of bands 4,3,2,1 for all the selected years to identify possible maximum spectral reflectance classes, this was followed by supervised classification using training sample from the field survey from which image to image spatio-temporal changes statistics were extracted. To generate a prediction of LULC changes for 2025, Cellular Automata-Markovian transition estimator (CA-Markov) in Idrisi32 was used. Various Kappa statistics was used to evaluate the performance of prediction with an average K statistics of above 0.83 recorded. The result shows that built up area gained an astronomical increase (180%) between 2005 and 2015 while forest lost significantly (34%) within the same periods, with most of the gains occurring in 2010 and 2015 after the establishment of KWASU. By 2025, two Major growth pole centres will emerge along Malete Elemere Axis and one minor in Jenkunu Omoni Axis which will exert a great stress on infrastructural facilities and may create a chaotic condition if left unattended to

Land Use Land Cover Change Detection by Using Remote Sensing Data in Akaki River Basin

Land use land cover change (LULCC) is the result of the long time process of natural and anthropogenic activities that has been practiced on the land. GIS and remote sensing are the best tools that support to generate the relevant land use/cover change in the basin. This study was conducted in the Akaki River basin to detect land use land cover changes within the 30 years period (1985-2015) by using landsat imagery data acquired from the GCF. Supervised maximum likelihood algorithm classification were deployed to classify land use/cover into four prominent land use groups and data's were processed by using ERDAS imagine 2014 and ArcGIS10.1 software. In the basin dominant LULC was agricultural land use which accounts around 56.28% and the second largest is built-up area by 31.51% and the rest, forest(11.9%) and water body(0.31%) coverage were takes third and fourth position(as 2015 data). The rapid expansion of Addis Ababa city consumes more fertile land near to the city. According to the projected LULCC for 2030 the proportion of agricultural and built-up area near to each other, i.e., agricultural land reduced to 42.33% and urban or built-up area increased to 41.63%. One good thing observed in the basin was an increment of the forest land in between 2011 and 2015 by 23.85% whereas in between 1985 and 2015 the annual rate of change was by 4.2. This may be due to the implementation of green-economy building strategy of the government and other stakeholders to rehabilitate the degraded lands in order to achieve MDG and SDG goals. Urbanization, industrialization, commercial center enlargement and population explosion in the main city Addis Ababa grabs more fertile and productive lands which supports more semi-urban communities. Hence, the government should consider the dramatic and drastic horizontal expansion of the urbanization which resulted due to lack of appropriate master plan for the city and towns in the basin to protect the loss agricultural productive lands

Willets Point Land Use Study

The purpose of the study is to survey and map land use patterns and businesses in the Willets Point area of Queens, New York. Willets Point has been the subject of numerous recent proposals for redevelopment. The City's Economic Development Corporation released Requests for Expressions of Interest in November 2004 and recently qualified a small group of developers to present proposals for redevelopment of the area. The information and maps provided by this study will hopefully serve as background for discussions about the area. It was not within the scope of this study to evaluate existing proposals or develop alternative proposals. However, we have offered some preliminary assessments of current conditions and ideas that could serve as a foundation for more in-depth study of future opportunities

Land use and mobility

This paper analyses the effects of land use characteristics on mode choice and carownership. The study is based on a large sample of individuals from the National TravelSurvey of Great Britain for the years 1989-91 and 1999-2001. Land use characteristics aredefined as population density, size of the municipality, accessibility to public transport andlocal amenities, such as shops and services. Mode choice (shares of total travel by car,public transport and walking) and car ownership are modelled using multinomial andbinomial logit models respectively, which include a large number of socio-economicfactors (income, age, gender, household structure and employment status) as well as landuse indicators. The estimation results strongly support the importance of the land usefactors considered on mode choice and car ownership

Land Use Intensity Module: Land Use in Rural New Zealand Version 1

This document outlines the development of the dynamic functions and simple algorithms that make up the Land Use in Rural New Zealand (LURNZ) land-use intensity module. The module includes stocking rate functions for dairy, sheep, and beef livestock; fertiliser intensity functions for dairy and sheep/beef; and algorithms for the evolution of the age classes of the plantation forestry estate, and of reverting scrubland. This module is designed so that: (1) output from models of rural production and rural land use can be compared using the land-use intensity functions as conversion factors; (2) output from the land use module of LURNZ can be converted into the implied levels of rural activities that can be directly related to certain environmental impacts. This module is part of the LURNZv1 simulation model and can be used in conjunction with the LURNZ land use and greenhouse gas modules.Land use intensity, rural production, forestry, pastoral farming, fertiliser