scholarly journals The Role of Rapid Response Technique (Landsat 4 – 5 TM) in Vegetation Change Detection. Case Study: Delta and Edo states of the Niger Delta Area of Nigeria

2013 ◽  
Vol 3 (5) ◽  
pp. 74-84
Author(s):  
Keyword(s):  
Change Detection ◽  
Niger Delta ◽  
Vegetation Change ◽  
Rapid Response ◽  
Delta Area

scholarly journals Ndvi: Vegetation Change Detection Using Remote Sensing and Gis – A Case Study of Vellore District

2015 ◽  
Vol 57 ◽  
pp. 1199-1210 ◽  
Author(s):  
G. Meera Gandhi ◽  
S. Parthiban ◽  
Nagaraj Thummalu ◽  
A. Christy
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Vegetation Change ◽  
Remote Sensing And Gis

scholarly journals DEFINING TERRITORIES IN AQUATIC PUBLIC SPACES: A CASE STUDY OF IJO MIGRANT FISHERMEN IN NIGERIA

2021 ◽  
Vol 9 (1) ◽  
pp. 279-289
Author(s):  
Warebi G. Brisibe
Keyword(s):  
Focus Groups ◽  
Oral History ◽  
Niger Delta ◽  
Public Spaces ◽  
Ethnic Origin ◽  
Qualitative Approach ◽  
Fishing Rights ◽  
Delta Area

This paper examines the issue of territoriality in aquatic public spaces and how it affects fishing rights amongst artisanal fishermen of Ijo ethnic origin, in the Niger Delta area of Nigeria. It focuses on how these fishermen view the concept of space and define territories with or without the play of architectural materiality and elements. The study adopts a qualitative approach using interviews, focus groups and oral history as methodologies. The findings show that although architecturally defined boundaries in form of markings or spatial demarcations are not common in the estuarine and riverine zones of the Niger Delta, they however exist. Often implied or expressed by actions indicative of territoriality, or even revealed through other anthropological symptoms.

scholarly journals The Medicine Tree: Unsettling palaeoecological perceptions of past environments and human activity

2017 ◽  
Vol 17 (3) ◽  
pp. 239-262 ◽  
Author(s):  
Suzi Richer ◽  
Benjamin Gearey
Keyword(s):  
Human Activity ◽  
Vegetation Change ◽  
Local Context ◽  
Ecological Knowledge ◽  
Pollen Record ◽  
Scientific Methods ◽  
Ecological Principles ◽  
Patterns And Processes

In this paper, we consider palaeoecological approaches to past landscapes and reflect upon how these are relevant to archaeological themes concerning concepts of environmental change and the role of past and present human communities in these processes. In particular, we highlight the importance of local context in the perception and understanding of landscape. Utilising a case study from Nepal, we look to ‘unsettle’ a conventional palaeoecological interpretation of a pollen record, originally constructed on western ecological principles, and instead draw on an interpretative perspective rooted in local Buddhist ecological knowledge, or a ‘folk taxonomy’, known as ‘The Medicine Tree’. We discuss how the interpretations of patterns and processes of vegetation change from a pollen record are not necessarily absolute. In particular, we outline how the palaeoecological frame of enquiry and reference is rooted in an essentially Eurocentric, Western scientific paradigm, which, in turn, shapes how we perceive and conceive of past landscapes and the role of ‘anthropogenic impact’ on vegetation. The aim of this is not to suggest that scientific approaches to the ‘reconstruction’ of past landscapes are necessarily invalid, but to illustrate how ‘empirical’ scientific methods and interpretations in archaeological science are contingent upon specific social and cultural frames of reference. We discuss the broader relevance of this, such as how we interpret past human activity and perception of landscape change, the ways in which we might look to mobilise research in the context of contemporary problems, issues concerning ‘degraded landscapes’ and how we incorporate local and archaeological perspectives with palaeoecology within an interconnected and iterative process.

A Predictive Model of Crude Oil Dispersion in Water: A Case Study of the Niger-Delta Area of Nigeria

2011 ◽  
Vol 33 (22) ◽  
pp. 2089-2103
Author(s):  
A. S. Abdulkareem ◽  
J. O. Odigure ◽  
M. D. O. Otaru ◽  
M. B. Kuranga ◽  
A. S. Afolabi
Keyword(s):  
Crude Oil ◽  
Predictive Model ◽  
Niger Delta ◽  
Delta Area
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