A Remote Sensing Approach for Vulnerability and Environmental Change in Apodi Valley Region, Northeast Brazil
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A Remote Sensing Approach for Vulnerability and Environmental Change in Apodi Valley Region, Northeast Brazil

Authors: Mukesh Singh Boori, Venerando Eustáquio Amaro

Abstract:

The objective of this study was to improve our understanding of vulnerability and environmental change; it's causes basically show the intensity, its distribution and human-environment effect on the ecosystem in the Apodi Valley Region, This paper is identify, assess and classify vulnerability and environmental change in the Apodi valley region using a combined approach of landscape pattern and ecosystem sensitivity. Models were developed using the following five thematic layers: Geology, geomorphology, soil, vegetation and land use/cover, by means of a Geographical Information Systems (GIS)-based on hydro-geophysical parameters. In spite of the data problems and shortcomings, using ESRI-s ArcGIS 9.3 program, the vulnerability score, to classify, weight and combine a number of 15 separate land cover classes to create a single indicator provides a reliable measure of differences (6 classes) among regions and communities that are exposed to similar ranges of hazards. Indeed, the ongoing and active development of vulnerability concepts and methods have already produced some tools to help overcome common issues, such as acting in a context of high uncertainties, taking into account the dynamics and spatial scale of asocial-ecological system, or gathering viewpoints from different sciences to combine human and impact-based approaches. Based on this assessment, this paper proposes concrete perspectives and possibilities to benefit from existing commonalities in the construction and application of assessment tools.

Keywords: Vulnerability, Land use/cover, Ecosystem, Remotesensing, GIS.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333552

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References:


[1] Ulaby, F.T., Bush, T.F., 1976. Monitoring wheat growth with radar. Photogramm. Eng. Remote Sens. 42, 557-568.
[2] Vela, A., Pasqualini, V., Leoni, V., Djelouli, A., Langar, H., Pergent, G., Pergent- Martini, C., Ferrat, L., Ridha, M., Djabou, H., 2008. Use of SPOT 5 and IKONOS imagery for mapping biocenoses in a Tunisian Coastal Lagoon. Estuarine, Coastal and Shelf Science 79, 591-598.
[3] PAUL, J. F., R. L. COMELEO, AND J. COPELAND. 2002. Landscape metrics and estuarine sediment contamination in the MidAtlantic and southern New England regions. Journal of Environmental Quality 31:836-845.
[4] Lunetta, R. and Balogh, M (1999) Application of multi-temporal landsat 5 TM imagery for wetland identification. Photogrammetric Engineering and Remote Sensing, Vol. 65, 1303-1310.
[5] RODRIGUEZ, W., P. V. AUGUST,Y.WANG,J.F.PAUL,A.GOLD, AND N. RUBINSTEIN. 2007. Empirical relationships between land use/ cover and estuarine condition in the northeastern United States. Landscape Ecology 22:403-417.
[6] Myneni, R.B., Hoffman, S., Knyazikhin, Y., Privette, J.L., Glassy, J., Tian, Y., Wang, Y., Song, X., Zhang, Y., Smith, G.R., Lotsch, A., Friedl, M., Morisette, J.T., Votava, P., Nemani, R.R., Running, S.W., 2002. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment 83 (1-2), 214-231.
[7] Chen, X., 2002. Using remote sensing and GIS to analyze land cover change and its impacts on regional sustainable development. International Journal of Remote Sensing 23, 107-124.
[8] Turner II BL, Kasperson RE, Matson PA, McCarthy JJ, Corell RW, Christensen L, et al. A framework for vulnerability analysis in sustainability science. Proc Natl Acad Sci 2003;100:8074-9.
[9] Birkmann J (2006) Measuring vulnerability to promote disasterresilient societies: conceptual frameworks and definitions. In: Birkmann J (ed) Measuring vulnerability to natural hazards, UNU Press, pp 9-54.
[10] Fu¨ssel HM (2007) Vulnerability: A generally applicable conceptual framework for climate change research. Global Environ Change 17:155-167
[11] Saaty, T.L., Vargas, L.G., 1991. Prediction, Projection and Forecasting. Kluwer Academic Publishers, Dordrecht.
[12] Ecodin├ómica Tricart 1977, Revista Brasileira de Geomorfologia - Ano 8, nº 2 (2007)
[13] XAVIER-DA-SILVA, J. et al. ├ìndices de geodiversidade: aplica├º├Áes de SGI em estudos de biodiversidade. In: GARAY, I.; DIAS, B. F. S. (Orgs.). Conserva├º├úo da biodiversidade em ecossistemas tropicais: avan├ºos conceituais e revis├úo novas metodologias de avalia├º├úo e monitoramento . Rio de Janeiro, Vozes, 2001 p. 299-316.
[14] GRIGIO, A. M.; CASTRO, A. F. de; SOUTO, M. V. S.; AMARO, V. E.; VITAL, H. and DIODATO, M. A., 2004. Use of remote sensing and geographical information system in the determination of the natural and environmental vulnerability of the Guamaré municipal district - Rio Grande do Norte - northeast of Brazil. Journal of Coastal Research, SI 39, pg - pg. Itaja├¡, SC - Brazil, ISSN 0749-0208.
[15] BARBOSA, C. C. F. ├ülgebra de mapas e suas aplica├º├Áes em Sensoriamento Remoto e Geoprocessamento. 1997. 111 f. Disserta├º├úo (Mestrado em Sensoriamento Remoto) - Instituto Nacional de Pesquisas Espaciais-INPE, S├úo José dos Campos, 1997.
[16] Campbell, J. B. (2002). Introduction to remote sensing (3rd ed.). New York: The Guilford Press.
[17] Lillesand Thomas M, Kiefer Ralph W, Chipman Jonathan W. Remote sensing and image interpretation. New York: John Wiley and Sons Publications; 2004.
[18] Jensen, J. R. (2004). Digital change detection. Introductory digital image processing: A remote sensing perspective (pp. 467- 494). New Jersey- Prentice-Hall.
[19] Yang, X. (2002). Satellite monitoring of urban spatial growth in the Atlanta metropolitan area. Photogrammetric Engineering and Remote Sensing, 68(7), 725-734.
[20] Ippolito A, Sala S, Faber JH, Vighi M. Ecological vulnerability analysis; a river basin case study. Sci Total Environ 2010;408:3880-90
[21] De Lange HJ, Lahr J, Van der Pol JJC, Wessels Y, Faber JH. Ecological vulnerability inwildlife. An expert judgment and multi-criteria analysis tool using ecological traitsto assess relative impact of pollutants. Environ Toxicol Chem 2009;28:2233-40.
[22] Halpern BS, Selkoe KA, Micheli F, Kappel CV. Evaluating and ranking the vulnerability of global marine ecosystems to anthropogenic threats. Conserv Biol 2007;21:1301-15.
[23] Adger WN. Vulnerability. Glob Environ Change 2006;16:268-81.
[24] Baird DJ, Rubach MN, Van den Brink PJ. Trait-based ecological risk assessment (TERA): the new frontier. Int Environ Assess Man 2008;4:2-3