RisDes_Index: An Index for Analysing the Advance of Areas Undergoing Desertification Using Satellite Data

Author:

Silva Thieres George Freire da12ORCID,Cruz Neto José Francisco da2,Jardim Alexandre Maniçoba da Rosa Ferraz3ORCID,Souza Carlos André Alves de2ORCID,Araújo Júnior George do Nascimento2,Silva Marcos Vinícius da2ORCID,Silva Jhon Lennon Bezerra da4ORCID,Carvalho Ailton Alves de2ORCID,Montenegro Abelardo Antônio de Assunção2ORCID,de Souza Luciana Sandra Bastos1

Affiliation:

1. Academic Unit of Serra Talhada, Federal Rural University of Pernambuco, Serra Talhada 56909-535, PE, Brazil

2. Department of Agricultural Engineering, Federal Rural University of Pernambuco, Recife 52171-900, PE, Brazil

3. Department of Biodiversity, Institute of Biosciences, São Paulo State University, Rio Claro 13506-900, SP, Brazil

4. Cerrado Irrigation Graduate Program, Goiano Federal Institute, Campus Ceres, Ceres 76300-000, GO, Brazil

Abstract

The proposal for a method of identifying the occurrence of desertification that has a strong association with in situ data leads to more assertive results when analysing the contribution of climate and social and economic factors to advancing the process. This study aimed to develop a methodology called the RisDes_Index to evaluate the evolution of the desertification process based on satellite data. The concept of the RisDes_Index method was based on the reflectance variables of the R, B and G bands, albedo and LAI of the Landsat 5/TM and Landsat 8/OLI satellites. Principal component analysis was used to assess the biophysical basis of the RisDes_Index by associating the results with micrometeorological data, physical and chemical properties, and vegetation cover data collected from five experimental sites in the semi-arid region of Brazil. These sites included one from a seasonally dry forest (i.e., the Caatinga), an agricultural cactus plantation, an area undergoing desertification, and two irrigated sugarcane crops (wetlands), one with and one without straw cover. The RisDes_Index was applied to all pixels of the images from 5 December 1991, 14 November 2001, 20 November 2009 and 6 October 2016 of an important desertification nucleus (DN) in the semi-arid region of Brazil, i.e., the DN of Cabrobó. The proposed RisDes_Index was able to identify areas with significant processes of desertification, which mainly occur in areas of sandy, acidic, bare soils with a high β value (Bowen ratio) and high soil temperature. The results of the RisDes_Index showed that in 5 December 1991, desertified areas comprised 38% of the total area of the DN of Cabrobó, expanding to 51% in 2016. Application of the RisDes_Index confirmed the advance of desertification in the DN of Cabrobó. This was due to a consequent increase in the water deficit and intensified deforestation to increase the areas of livestock farming. The RisDes_Index proved to be a robust method, as its estimation based on simple satellite products exhibited a strong association with biophysical variables of areas with different land uses and degradation levels. Thus, it is suggested that the RisDes_Index be applied in various regions of the world, with the idea of directing action to meet the advance of desertification.

Funder

Foundation for Science and Technology Development of the State of Pernambuco

Coordination for the Improvement of Higher Level Personnel

São Paulo Research Foundation

National Council for Scientific and Technological Development

Publisher

MDPI AG

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