Poverty Mapping in Uganda: An Analysis Using Remotely Sensed and Other Environmental Data

نویسندگان

  • David Rogers
  • Thomas Emwanu
  • Timothy Robinson
چکیده

Figure 3: Poverty density in 1992 based on small area poverty incidence (Figure 2) and the sub-county level rural population statistics from the 2002 housing and population census Figure 8: Densities of major livestock species in Uganda: a) cattle, b) sheep, c) goat and d) pigs, summarised by (rural) sub-county from the 2002 Uganda national housing and population and census (UBOS 2004). Figure 9: Modelled distributions (probability of tsetse presence) of the three predominant tsetse species in Uganda: a) Glossina fuscipes fuscipes, b) G. pallidipes, and c) G. morsitans submorsitans Figure 10: Household expenditure data were averaged for all the households that fall within each 0.01 degree grid square in Uganda. These data were then assigned to one of 10 'bins' shown here (divisions were selected to give approximately equal sample sizes) that formed the basis for the satellite data analysis.. Figure 11: Modelled household expenditure at full spatial resolution of 0.01 degrees (ug051150.img). Kappa = 0.146; r 2 of observed vs predicted = 0.160. The data being modelled are shown as dots (from Figure 10), with the category boundaries as indicated in the legend. .

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A model-based approach for mapping rangelands covers using Landsat TM image data

Empirical models are important tools for relating field-measured biophysical variables to remotely sensed data. Regression analysis has been a popular empirical method of linking these two types of data to estimate variables such as biomass, percent vegetation canopy cover, and bare soil. This study was conducted in a semi-arid rangeland ecosystem of Qazvin province, Iran. This paper presents t...

متن کامل

A Comparative Study of SVM and RF Methods for Classification of Alteration Zones Using Remotely Sensed Data

Identification and mapping of the significant alterations are the main objectives of the exploration geochemical surveys. The field study is time-consuming and costly to produce the classified maps. Therefore, the processing of remotely sensed data, which provide timely and multi-band (multi-layer) data, can be substituted for the field study. In this study, the ASTER imagery is used for altera...

متن کامل

Spatiotemporal analysis of remotely sensed Landsat time series data for monitoring 32 years of urbanization

The world is witnessing a dramatic shift of settlement pattern from rural to urban population, particularly in developing countries. The rapid Addis Ababa urbanization reflects this global phenomenon and the subsequent socio-economic and environmental impacts, are causing massive public uproar and political instability. The objective of this study was to use remotely sensed Landsat data to iden...

متن کامل

Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images

This study was conducted with the aim of providing a remotely sensed water quality index in Assaluyeh port using remote sensing technology. so, according to the region conditions, studying of scientific resources and access to satellite data, the parameters of heavy­metals, dissolved ions, SST, chlorophyll-a and pH were selected. Then, by reviewing sources, the product MYD091km, MYD021km, MOD02...

متن کامل

assessment of the probable impacts of land use changes on water quality in shadeghan wetland using remotely sensed data

In this research, the evaluation of possible effects of land-use change on water quality in Shadegan wetland has been provided with the help of remote sensing data. The purpose of this research was to evaluate and compare user variations in 2000 and 2015 using Landsat satellite imagery (with ETM and OLI sensors) from the study area and processing them in the ERDAS software environment using the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006