Spatial and temporal evaluation of water availability in vegetation in the Terra Nova-PE basin, using ADIVA

Auteurs

DOI :

https://doi.org/10.29150/jhrs.v12.6.p418-435

Mots-clés :

Hydrology, NDWI, UAV, remote sensing

Résumé

The water availability in the vegetation is an important parameter to evaluate the water conditions of the place and the environment. Vegetation responds quickly to water availability. Thus, the objective of this study is to evaluate the water availability of vegetation in irrigated areas, riparian forest, and natural vegetation of the caatinga, during the period of 2021 and 2022 in the Terra Nova-PE basin using drone images. Twenty drone flights were carried out in different areas of the basin and the application ADIVA - Analysis of the Vegetation and Water Index. Water availability changes the environmental conditions of the place. The riparian forest responds very quickly to water availability. The caatinga biome is of great importance for retaining water during the rainy season and ensuring that the region continues to have healthier environmental water conditions throughout the year. This shows the great importance of the natural caatinga vegetation for water availability in the hydrographic basin, as well as for the efficiency of the environmental service provided by the hydrographic basin.

Biographie de l'auteur

Josiclêda Domiciano Galvíncio, Universidade Federal de Pernambuco, Departamento de Ciências Geográficas, Recife-PE

Departamento de Ciências Geográficas/área de sensoriamento remoto/climatologia/hidrologia/estatistica.

Références

Amir AghaKouchak, Hamid Norouzi, Kaveh Madani, Ali Mirchi, Marzi Azarderakhsh, Ali Nazemi, Nasrin Nasrollahi, Alireza Farahmand, Ali Mehran, Elmira Hasanzadeh. 2015. Aral Sea syndrome desiccates Lake Urmia: Call for action. Journal of Great Lakes Research. Volume 41, Issue 1, pages 307-311, ISSN 0380-1330. https://doi.org/10.1016/j.jglr.2014.12.007.

Galvíncio, J. D.; Miranda, Rodrigo Q. ; Moura, M. S. B. ; Montenegro, Suzana Maria Gico . 2022. Adiva-Análise De Índice De Vegetação E Água. Revista Brasileira De Geografia Física, v. 15, p. 1654-1659.

Ji, L.; Zhang, L.; Wylie, B.K. 2009. Analysis of Dynamic Thresholds for the Normalized Difference Water Index. Photogramm. Eng. Remote Sens., 75, 1307–1317.

Liuzzo, L., Puleo,V., Nizza, S., Freni, G. 2020. Parameterization of a Bayesian Normalized Difference Water Index for Surface Water Detection. Geosciences, 10(7), 260. https://doi.org/10.3390/geosciences10070260

Luz, G. G. ; Galvíncio, J. D. 2022A. Balanço de radiação com imagens captadas com Drones. Revista Brasileira De Geografia Física, v. 15, p. 1169-1179.

Luz, G. G. ; Galvíncio, J. D. 2022B.B alanço hídrico superficial da bacia hidrográfica do riacho Milagres-PE, utilizando o SUPer. Revista Brasileira De Geografia Física, v. 15, p. 1094-1107.

McFeeters, S.K. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. Int. J. Remote Sens. 1996, 17, 1425–1432.

Nishiwaki, A. A. M. ; Moura, M. S. B.; Galvíncio, J. D.; Santos, C. V. B. ; Carvalho, H. F. S. 2021. Comparison of detection methods for vegetable individuals from the Caatinga using airborne LiDAR data. Journal of Hyperspectral Remote Sensing, v. 11, p. 302-309.

Pourmohamad, Y., Alizadeh, A., Mohammad Mousavi Baygi, Mekonnen Gebremichael, Ali Naghi Ziaei, Mohammad Bannayan. 2019. Optimizing cropping area by proposing a combined water-energy productivity function for Neyshabur Basin, Iran. Agricultural Water Management. Volume 217. Pages 131-140, ISSN 0378-3774. https://doi.org/10.1016/j.agwat.2019.02.040

Rad, A. M., Kreitler, J., Sadegh, M. 2021. Augmented Normalized Difference Water Index for improved surface water monitoring. Environmental Modelling & Software, Volume 140, 105030, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2021.105030.

Sohl, T., Dornbierer, J., Wika, S., Robison, C. 2019. Remote sensing as the foundation for high-resolution United States landscape projections – The Land Change Monitoring, assessment, and projection (LCMAP) initiative. Environmental Modelling & Software. Volume 120, 2019, 104495, ISSN 1364-8152. https://doi.org/10.1016/j.envsoft.2019.104495.

Torres Silveira, N. ; Santos, T. O. ; Tiburcio, I. M. ; Galvíncio, J. D. 2022A. Aplicação do Índice de Vegetação por Diferença Normalizada (NDVI) para a análise espaço-temporal da Bacia Hidrográfica do rio Terra Nova (Pernambuco). Revista Brasileira de Sensoriamento Remoto, v. 3, p. 20-29.

Torres Silveira, N., Silveira, H. T., Tiburcio, I. M. ; Galvíncio, J. D. 2022B. Qualidade da Água e

Modelagem Hidrológica: aplicabilidade do Sistema de Unidades de Respostas Hidrológicas para Pernambuco (SUPer). Revista Brasileira de Sensoriamento Remoto, v. 3, p. 30-40.

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Publiée

2023-08-09

Comment citer

Galvíncio, J. D., & Souza, W. M. (2023). Spatial and temporal evaluation of water availability in vegetation in the Terra Nova-PE basin, using ADIVA. Journal of Hyperspectral Remote Sensing, 12(6), 418–435. https://doi.org/10.29150/jhrs.v12.6.p418-435

Numéro

Rubrique

Environmental Applications

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