Temporal analysis of water volume at Capoeira Reservoir Mãe d’Água, Paraíba, Brazil

2020

Rev. Bras. Geog. Fis.

O satélite de órbita geoestacionária Meteosat-10 fornece indicadores ambientais com alta resolução temporal e baixa resolução espacial, permitindo o monitoramento da fenologia da paisagem. Porém, devido ao alto ângulo de visada do Meteosat-10, pouco tem sido utilizado para o Brasil. Indicadores como NDVI (Normalized Difference Vegetation Index), eficiente para o monitoramento da vegetação devido à simplicidade e estreita relação com a produtividade da vegetação, e o NDWI (Normalized Difference Water Index), que indica a umidade da superfície do solo combinando o solo e a vegetação expostos, ajudam a compreender a sazonalidade ambiental e ocupação das bacias hidrográficas. Esse artigo tem como objetivo avaliar a capacidade de indicadores biofísicos, provindos do satélite de órbita geoestacionária Meteosat-10, para o monitoramento ambiental da superfície do solo, tendo como área de estudo bacias hidrográficas, Ottobacias nível 5, do estado de Goiás, incluindo o Distrito Federal, no período 2013 a 2015. Para tanto, foram avaliados o NDVI, NDWI e a precipitação com resolução temporal de 12 dias e mensal. Fez-se o cálculo dos indicadores normalizados SPI (Standard Precipitation Index), SVI (Standard Vegetation Index) e SWI (Standard Water Index) para comparações entre os anos e obtenção da tendência de cada indicador. Como resultado pode-se identificar e compreender padrões sazonais das bacias hidrográficas em diferentes regiões e classes de uso, demonstrando o potencial de indicadores de vegetação provenientes de satélites geoestacionários, para o monitoramento da cobertura do solo em bacias hidrográficas, bem como identificar a maior sensibilidade do NDWI para o monitoramento de mudanças ocorridas na superfície. Monitoring of soil surface using environmental indicators satellite data monitor from geostationary orbit A B S T R A C TThe geostationary orbit satellite Meteosat-10, has spectral bands that allow create that provides environmental indicators with high temporal resolution and low spatial resolution, allowing the monitoring of landscape phenology. However, for Brazil little has been used due to the high viewing angle of Meteosat-10 (45 a 80º). Indicators like NDVI (Normalized Difference Vegetation Index), efficient for monitoring vegetation due to the simplicity and close relationship with the productivity of the vegetation, and the NDWI (Normalized Difference Water Index), which indicates the moisture of the soil surface combining the soil and the exposed vegetation, help to understand the environmental seasonality and occupation of watersheds. This article aims to evaluate the capacity of biophysical indicators, coming from the geostationary orbit satellite Meteosat-10, for the environmental monitoring of the soil surface, with hydrographic basins, Ottobasin level 5, from the state of Goiás, as the study area. Distrito Federal, from 2013 to 2015. For this purpose, NDVI, NDWI and precipitation with 12-day and monthly resolution were evaluated. Standardized indicators SPI (Standard Precipitation Index), SVI (Standard Vegetation Index) and SWI (Standard Water Index) were calculated for comparisons between years and obtaining the trend of each indicator. As a result, it is possible to identify and understand seasonal patterns of hydrographic basins in different regions and classes of use, demonstrating the potential of vegetation indicators from geostationary satellites, for monitoring soil cover in hydrographic basins, as well identify the highest sensitivity NDWI for monitoring surface changes.Keywords: NDVI, NDWI, Meteosat-10, environmental monitoring.

Section: Introductionunclassified

Monitoramento da superfície do solo usando indicadores ambientais provenientes de dados de satélite em órbita geoestacionária

Silveira

Ferreira

2020

Rev. Bras. Geog. Fis.

“…Studies have used these indices for understanding different types of coverage, as Brito et al (2017) analyzed the differences of the NDVI and NDWI in preserved and degraded Caatinga areas, as well as areas with irrigated and rainfed agriculture. In turn, Anjos et al (2017) used the NDWI to compare the reduction of a reservoir in semiarid region of Paraiba.…”

Section: Introductionmentioning

confidence: 99%

Quantification Caatinga vegetable coverage and water availability by remote sensing in the Brazilian semiarid

Bezerra

Jour. Hypers. Rem. Sensg.

et al. 2019

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.

Jour. Hypers. Rem. Sensg.

“…Collischonn e Clarke (2016) afirmam que o sensoriamento remoto vem sendo crescentemente usado como ferramenta em recursos hídricos, havendo tecnologias atualmente para a estimativa de várias componentes do ciclo hidrológico, como: precipitação, variação do armazenamento na superfície e nível d'água em rios e reservatórios. Muitas pesquisam propõem que esse controle seja feito aliando-se algumas técnicas de sensoriamento remoto como em Anjos et al (2017) e Abreu (2016).…”

Section: Introductionunclassified

Técnicas de processamento de imagem como subsidio para o monitoramento do volume de água em reservatórios: estudo de caso Ibimirim-PE, Brasil

Nascimento

Azevedo

Candeias

2019

The dynamic constant of the volume of water in Reservoirs implies the need for continuous monitoring. Remote sensing in conjunction with geoprocessing and digital image processing are important tools in providing information that facilitates management and decision making in water resource management. The present work presents a methodology applied in images of the satellite Landsat 8, to verify the contribution of some image processing techniques, such as fusion and water index by normalized difference (NDWI), in the estimation of the volume of water in reservoirs. The study was carried out in the reservoir Engenheiro Francisco Saboia in the municipality of Ibimirim-PE, Brazil. The results were validated based on data provided by the Pernambuco Water and Climate Agency (APAC) and the National Water Agency (ANA). The methodology proved to be efficient in the monitoring of the volume of water in the reservoir, with the fusion of images and the NDWI a positive contribution in improving the accuracy of the results.