Remote Sensing and Digital Image Processing
Volume 1 / 2002 to Volume 26 / 2024
Page
%P
9 Result(s)
-
Book Series
-
Chapter
Introduction
This chapter discusses the challenges faced by low-and middle-income countries (LMICs) in dealing with rapid transformation processes, including increasing inequalities, overconsumption of natural resources, h...
-
Chapter
Making Urban Slum Population Visible: Citizens and Satellites to Reinforce Slum Censuses
In response to the “Leave No One Behind” principle (the central promise of the 2030 Agenda for Sustainable Development), reliable estimate of the total number of citizens living in slums is urgently needed but...
-
Book
-
Chapter
Urban and Peri-Urban? Investigation of the Location of Informal Settlements Using Two Databases
Informal settlements are an integral feature of global urbanization, and their future dynamics will impact cities’ development. Current projections of informal settlements’ growth estimate these areas’ expansi...
-
Chapter
Putting the Invisible on the Map: Low-Cost Earth Observation for Map** and Characterizing Deprived Urban Areas (Slums)
It is estimated that more than half of city dwellers in sub-Saharan Africa currently live in deprived urban areas, often called slums or informal settlements, although these terms cover different urban realiti...
-
Chapter
Detection of Unmonitored Graveyards in VHR Satellite Data Using Fully Convolutional Networks
Lima, Peru, is a highly dynamic urban region home to perpetually evolving informal areas. Earth observation (EO) studies on these areas focused almost solely on their inhabited parts, the informal housing. In ...
-
Chapter
The Impact of Respondents’ Background Towards Slum Conceptualisations and Transferability Measurement of Remote Sensing–Based Slum Detections. Case Study: Jakarta, Indonesia
Updated and reliable data on slums’ location, extent, morphology, and living conditions is critical to implementing and evaluating the effectiveness of slum improvement programs. Object-based image analysis (O...
-
Chapter
Data and Urban Poverty: Detecting and Characterising Slums and Deprived Urban Areas in Low- and Middle-Income Countries
A multidimensional characterisation of urban areas is essential to provide relevant data for monitoring deprived urban areas (urban poverty) beyond the dollar threshold (World Bank) or household characterisati...
