Abstract
ABSTRACT The work evaluated the potential for discrimination of land use and occupation around reservoirs, using spectral information obtained by multispectral, hyperspectral satellites and images obtained with an ARP (remotely piloted aircraft). The research analyzed the performance of different images classification techniques applied to multispectral and hyperspectral sensors for the detection and differentiation of soil classes around the Paus Brancos and Marengo reservoirs, located in Settlement 25 of Maio. The classes identified based on surveys in campaigns carried out in 2014 and 2015 around the reservoirs were: water, macrophytes, exposed soil, native vegetation, agriculture, thin and ebbing vegetation, in addition to the cloud and cloud shadow targets. The performance of the classifiers applied to the image of the Hyperion sensor was, in general, superior to those obtained in Landsat 8 image, which can be explained by the high spectral resolution of the first, which facilitates the differentiation of targets with similar spectral response. For validation of the supervised classification method of Maximum Likelihood, Landsat 8 (08/24/2015) and Hyperion (08/28/2015) images were used. The results of the application indicated a good performance of the classifier associated with the RGB composition of the chosen Hyperion image (bands R - 51, G - 161, B - 19) in the detection of the classes around this reservoir, producing a Kappa coefficient of 0.83. The availability of data from the Hyperion sensor is very restricted, which hinders the development of continued research, thus the use of images surpassed by RPA is extremely viable.
Highlights
The Brazilian semiarid region located in the Northeast region, presents a pluviometric regime marked by extreme irregularity of rains in time and space, where water scarcity is seen as a limitation on development, since the cyclical occurrence of droughts and their catastrophic effects are well known, making it necessary to search for convivial techniques (MAMEDE et al, 2012).Reservoirs are considered a solution for water storage, especially in arid and semi-arid regions where rainfall is scarce and irregular throughout the year (LIMA NETO; WIEGAND; ARAÚJO, 2011)
The objective of this research was to evaluate techniques for analyzing the areas of land use and occupation around the Paus Brancos and Marengo reservoirs, located in the 25 de Maio Settlement, situated in the municipality of Madalena - CE, through multispectral and hyperspectral data collected by landsat 8 and Hyperion sensors, respectively
Due to the amount of bands that the Hyperion sensor has, it was necessary to determine the bands that present superior results in the separation of the classes evaluated in the present study
Summary
The Brazilian semiarid region located in the Northeast region, presents a pluviometric regime marked by extreme irregularity of rains in time and space, where water scarcity is seen as a limitation on development, since the cyclical occurrence of droughts and their catastrophic effects are well known, making it necessary to search for convivial techniques (MAMEDE et al, 2012).Reservoirs are considered a solution for water storage, especially in arid and semi-arid regions where rainfall is scarce and irregular throughout the year (LIMA NETO; WIEGAND; ARAÚJO, 2011). The Brazilian semiarid region located in the Northeast region, presents a pluviometric regime marked by extreme irregularity of rains in time and space, where water scarcity is seen as a limitation on development, since the cyclical occurrence of droughts and their catastrophic effects are well known, making it necessary to search for convivial techniques (MAMEDE et al, 2012). For the spatialization and quantification of reservoirs and classes in their surroundings, studies such as Bhardwaj et al (2015), Rabe, Van Der Linden; Hostert (2014), and Van Der Linden et al (2014), used data from remote sensors in research related to the spectral behavior of targets on the Earth's surface, such as water, soils, land use and cover (types of vegetation and agricultural activities), which are extremely important, as they provide support for the interpretation of the data generated (COULTER et al, 2016). It enables the development of studies to assess the use of refined land in semi-arid regions
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