Estimativa de precipitação pluvial por satélites para o estado do Mato Grosso

Corrêa, Karlmer Abel Bueno

doi:10.11606/d.11.2020.tde-12012021-104910

Cited by 1 publication

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“…Resources like orbital sensors products, interpolator algorithms and atmospheric models are increasingly necessary to represent precipitation in areas where it is not possible to observe or is deficient in rainy stations, becoming options for climatic studies on tropical and subtropical regions of the Brazilian territory (Bayissa et al, 2017). Diverse researchers utilized data sets raised by weather stations and satellite products to analyze the accuracy of precipitation estimates (Erazo et al, 2018;Corrêa, 2020). Among the precipitation estimate products most used at global level, including Brazil, stands out the Climate Hazards Group In-fraRed Precipitation with Station data (CHIRPS), which has a series of data of more than 40 years, with spatial high-resolution and low uncertainties on rain registrations (Guo et al, 2017;Bai et al, 2018;Costa et al, 2019).…”

Section: Delimitation Of Water Areas Using Remote Sensing In Brazil's...mentioning

confidence: 99%

Delimitation of water areas using remote sensing in Brazil’s semiarid region

Almeida

Araújo

Soares

et al. 2023

Rev. Bras. Ciênc. Ambient.

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Remote sensing techniques are of fundamental importance to investigate the changes occurred in the terrestrial mosaic over the years and contribute to the decision-making by increasing efficient environmental and water management. This article aimed to detect, demarcate and quantify the hydric area of Poço da Cruz reservoir, located in Ibimirim, Pernambuco, semiarid region of Brazil, with modeling based on Landsat 8/OLI satellite multispectral images from 2015 to 2020, and to relate it with data from the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) satellites average rainfall. For this purpose, the Modified Normalized Difference Water Index (MNDWI) was modeled, being produced georeferenced theme maps and extracted only the pixels represented by positive spectral values, which represent water targets. The open-access software Quantum Geographic Information System (QGIS, version 2.18.16) was used for all stages of digital image processing and connection with complementary databases on the theme maps elaboration. In the results, changes in the spatial distribution of Poço da Cruz were evidenced and analyzed using precipitation data from the CHIRPS product, allowing a better understanding of the rainfall behavior in the region and its influence. The MNDWI was lined with the CHIRPS product, in which the spatial correlation between the rainy event and the water area’s delimitation is documented, especially in October 2017 (minimum values) and October 2020 (maximum values).

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