Abstract

Brazilian semiarid region is susceptible to drought events, and water scarcity is a frequent problem. Irregularities in rainfall regimes lead to conflicts over water use in these regions, as there is high demand for human consumption and agriculture. Monitoring of the water and natural resources of the semiarid region is essential. Remote sensing, in turn, is effective because it presents high applicability in the heterogeneous mapping of heterogeneous areas in a practical and low cost, both spatially and temporally. Objective was to monitor and quantify the Caatinga vegetation coverage and the water condition by remote sensing through the vegetation index of the normalized water difference. The research was developed in a region of the Brazilian semiarid, municipality of Serra Talhada, Pernambuco, in the period 2015 to 2019. The study was conducted from Landsat satellite images. Thematic maps of the terrestrial surface of the region were developed through the images processing, with application of the Surface Energy Balance Algorithms for Land (SEBAL), performing a spatial-temporal modeling to determine the vegetation index of the standardized modified water difference. The quantification and characterization of Caatinga vegetation and water bodies will be used to compare environmental monitoring studies in the semiarid region and to evaluate environmental impacts. The spatial-temporal monitoring of the vegetation index of the normalized difference of the modified water showed patterns of responses and changes of the Caatinga vegetation coverage, as well as the water availability of the region. Drought favored water scarcity, directly affecting the multiple uses of the semiarid region.

Highlights

  • IntroductionIn addition to analyzing vegetation, exist indices that highlight the water condition using the principles of the radiation interaction with water as in the case of the Normalized Difference Water Index (NDWI)

  • The Modification of Normalized Difference Water Index (MNDWI) highlights the spatialtemporal distribution of the condition of the Caatinga natural vegetation and especially of the water availability of semiarid region

  • The MNDWI maps ranged between the values of -0.77 to 0.47

Read more

Summary

Introduction

In addition to analyzing vegetation, exist indices that highlight the water condition using the principles of the radiation interaction with water as in the case of the Normalized Difference Water Index (NDWI) This parameter which allows a complete spatial-temporal modeling of water issues of surface, essential for planning and management in decision making on the multiple uses of the semiarid, especially when regions present drought events. In this context, aiming to improve the use of practical and efficient technologies to meet recurring needs such as sustainable use of the water resources in the semiarid, the objective of this study was to monitor and quantify the Caatinga vegetation coverage and especially the water availability of the reservoirs, rivers and lakes by means of spatialtemporal modeling of the Modification of Normalized Difference Water Index (MNDWI), using remote sensing techniques and satellite images in the Brazilian semiarid, the period 2015 to 2019

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call