A Remote Sensing Approach for Vulnerability and Environmental Change in Apodi Valley Region, Northeast Brazil
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.
[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] Ecodinâmica 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.). Conservação da biodiversidade em ecossistemas tropicais:
avanços conceituais e revisão novas metodologias de avaliação 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. Itajaí, 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. Dissertação
(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
[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] Ecodinâmica 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.). Conservação da biodiversidade em ecossistemas tropicais:
avanços conceituais e revisão novas metodologias de avaliação 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. Itajaí, 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. Dissertação
(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
@article{"International Journal of Earth, Energy and Environmental Sciences:56383", author = "Mukesh Singh Boori and Venerando Eustáquio Amaro", title = "A Remote Sensing Approach for Vulnerability and Environmental Change in Apodi Valley Region, Northeast Brazil", 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.", volume = "5", number = "2", pages = "74-11", }
