Daniel Andrade Maciel

National Institute for Space Research, Brazil | inpe · Remote Sensing Division

Remote sensing imagery are fundamental to increasing the knowledge about sediment dynamics in the middle-lower Amazon floodplains. Moreover, they can help to understand both how climate change and how land use and land cover changes impact the sediment exchange between the Amazon River and floodplain lakes in this important and complex ecosystem. T...

Remote sensing plays an important role in the monitoring of inland waters. Recently, Cubesats have become an alternative data source for studies that require high spatiotemporal resolutions. However, the radiometric quality of those data was never evaluated for inland water studies. This letter presents the experimental results to assess the qualit...

Using remote sensing for monitoring trophic states of inland waters relies on the calibration of chlorophyll-a (chl-a) bio-optical algorithms. One of the main limiting factors of calibrating those algorithms is that they cannot accurately cope with the wide chl-a concentration ranges in optically complex waters subject to different trophic states....

The modeling of underwater light field is essential for the understanding of biogeochemical processes, such as photosynthesis, carbon fluxes, and sediment transports in inland waters. Water-column light attenuation can be quantified by the diffuse attenuation coefficient of the downwelling irradiance (K d) using semi-analytical algorithms (SAA). Ho...

As the largest river basin on Earth, the Amazon is of major importance to the world's climate and water resources. Over the past decades, advances in satellite-based remote sensing (RS) have brought our understanding of its terrestrial water cycle and the associated hydrological processes to a new era. Here, we review major studies and the various...

Thermal sensor systems, although they are being used in different scenarios, generate images with low spatial resolution and without features definition which impairs their handling and interpretation. Therefore, the great challenge for the user is to obtain quality information as accurately as possible with the resources available. In this context...

Originally developed for terrestrial science and applications, the US Geological Survey Landsat surface reflectance (SR) archive spanning ~ 40 yr of observations has been increasingly utilized in large‐scale water‐quality studies. These products, however, have not been rigorously validated using in situ measured reflectance. This letter quantifies...

Our study introduces the RF-CMAP: a novel approach for land use and land cover change analysis. It combines the Random Forest (RF) and the Compound Maximum a Posteriori (CMAP) algorithms, reducing invalid land cover transitions, and outperforming the traditional Random Forest in discordant areas. Validated in a Brazilian basin, it shows great poten...

Water transparency is an important water quality measurement as a proxy to the amount of suspended and dissolved constituents in the water. In the Amazon basin, the water bodies are mainly controlled by annual flooding pulse, which drives the suspended sediments and phytoplankton dynamics in white, organic matter in black waters, and phytoplankton...

The purpose of this work is to evaluate two methods of atmospheric correction (AC) applied to multispectral images from the Operational Land Imager (OLI) in order to retrieve the orange contraband (590-635 nm). It is useful to obtain spectral information related to the presence of phycocyanin (PC) in inland waters. This pigment concentration indica...

Trophic State Index (TSI) is a widely used metric to assess water quality and identify potential health risks for water resources use. This study tested the Random Forest (RF) and Decision Tree (DT) algorithms to classify the TSI in the Billings and Ibitinga reservoirs, São Paulo, Brazil using Sentinel-2 images. The model inputs were derived from i...

Hydrological Connectivity (HC) of small floodplain lakes is rarely investigated using remote sensing techniques. This paper explores the application of planet mosaics to estimate the HC between the middle Juruá River and its floodplain lakes. Remote Sensing features from 41 floodplain lakes and related main river reaches were provided by a time ser...

The development of algorithms for remote sensing of water quality (RSWQ) requires a large amount of in situ data to account for the bio-geo-optical diversity of inland and coastal waters. The GLObal Reflectance community dataset for Imaging and optical sensing of Aquatic environments (GLORIA) includes 7,572 curated hyperspectral remote sensing refl...

Most previous studies of landslide susceptibility mapping (LSM) have not contemplated spatial heterogeneity and the commonly used models for LSM are aspatial, which could reduce model performance. Therefore, aiming to evaluate the applicability of spatial algorithms to predict landslide susceptibility, the performance of Geographical Random Forest...

The Amazon Basin is the largest on the planet, and its aquatic ecosystems affect and are affected by the Earth’s processes. Specifically, Amazon aquatic ecosystems have been subjected to severe anthropogenic impacts due to deforestation, mining, dam construction, and widespread agribusiness expansion. Therefore, the monitoring of these impacts has...

Secchi Disk Depth (Zsd) is one of the widely used water quality measurements. Controlled by variations in Optically Active Constituents, it is a key index of overall water quality. In-situ measurements of Zsd lacks spatiotemporal coverage which could be solved using remote sensing data, such as from the Sentinel-2/MSI. However, inland waters have h...

Este trabalho faz uma análise exploratória da ocorrência de floração de algas no reservatório de Ibitinga/SP por meio do uso da classificação contínua fuzzy. A função de pertinência linear fuzzy foi aplicada a uma série histórica de imagens do MSI/Sentinel-2 (entre dezembro/2018 e junho/2020) contendo os valores do índice espectral Normalized Diffe...

As the largest river basin on Earth, the Amazon is of major importance to the world's climate and water resources. Over the past decades, advances in satellite-based remote sensing (RS) have brought our understanding of its terrestrial water cycle and the associated hydrological processes to a new era. Here, we review major studies and the various...

The composition of phytoplankton and the concentration of pigments in their cells make their absorption and specific absorption coefficients key parameters for bio-optical modeling. This study investigated whether the multispectral vertical diffuse attenuation coefficient of downward irradiance (Kd) gradients could be a good framework for accessing...

Due to increasing algae bloom occurrence and water degradation on a global scale, there is a demand for water quality monitoring systems based on remote sensing imagery. This paper describes the scientific, theoretical, and methodological background for creating a cloud-computing interface on Google Earth Engine (GEE) which allows end-users to acce...

Human activities on a global scale have significantly contributed to the change in quality of water bodies by increasing the nutrients levels. Under these circumstances, algae have proliferated rapidly and their concentrations are above normal levels. The lack of in situ data, in Latin American countries, for example, limits the capacity of water q...

Wetland inventory maps are essential information for the conservation and management of natural wetland areas. The classification framework is crucial for successful mapping of complex wetlands, including the model selection, input variables and training procedures. In this context, deep neural network (DNN) is a powerful technique for remote sensi...

The diffuse attenuation coefficient of downwelling irradiance (K d) is an essential parameter for inland waters research by remotely sensing the water transparency. Lately, K d semi-analytical algorithms substituted the empirical algorithms widely employed. The purpose of this research was to reparametrize a semi-analytical algorithm to estimate K...

A floresta amazônica é considerada um dos maiores reservatórios de carbono da Terra. No entanto, mudanças antrópicas indiscriminadas no uso e cobertura da terra, como a conversão da floresta em áreas agrícolas e pastagens, provocam grandes impactos ambientais na floresta. A utilização de técnicas que auxiliam o mapeamento do uso e cobertura da terr...

Optical water types (OWTs) can represent diverse ranges of Chlorophyll-a (Chl-a), total suspended matter (TSM), and colored dissolved organic matter (CDOM) concentrations, which make them extremely useful for monitoring water quality, for example, detecting eutrophic conditions or tuning remote sensing algorithms. In this study, the objective is to...

Traditionally, water conditions of coffee areas are monitored by measuring the leaf water potential (ΨW) throughout a pressure pump. However, there is a demand for the development of technologies that can estimate large areas or regions. In this context, the objective of this study was to estimate the ΨW by surface reflectance values and vegetation...

Despite its extensive native forest cover, land uses such as extensive pasture and forest cultivation are present in the Environmental Protection Area of the Serra da Mantiqueira (EPA-SM). Also noteworthy is the absence of a management plan, with a lack of environmental studies on its dynamics of land use and land cover. This paper aimed to evaluat...

The objective of this study was to analyze the seasonal changes in the flood duration in the Curuai Lake, in response to the extreme droughts occurring in the past two decades. The Aqua MODIS sensor was applied to map flood duration impact on open waters of Curuai Lake floodplains, from 2002 to 2017. For that, year-round permanent open water areas...

Currently, images from unmanned aerial vehicles (UAVs) are being used due to their high spatial and temporal resolution. Studies comparing different mobile data acquisition platforms, such as satellites, are important due to the limited spatial and temporal resolution of some satellites as well of the presence of clouds in such images. The objectiv...

Imagens do sensor Sentinel-2/MSI, lançado em 2015, apresentam características promissoras para o monitoramento da qualidade d'água. Este estudo teve como objetivo desenvolver um modelo empírico que permitisse estimar as concentrações de sólidos totais suspensos (TSS) em superfície, nos rios Paraná, Paranapanema e Tietê, a partir de imagens do senso...

Remote sensing (RS) images can improve the knowledge on the exchanges of sediment between the main rivers and floodplains as it provides a synoptic view of water bodies, at local and regional scales. The monitoring of total suspended solids (TSS) is important because the proportion of organic to inorganic particles varies in time and space and is l...

p>The objective of this study was to identify meteorological variables related to the sensorial quality of the coffees from Mantiqueira region in Minas Gerais. Meteorological conditions are strongly related to the coffee’s sensorial characteristics, however, there aren’t many studies quantifying this relation. Air temperature and rainfall data were...

Remote sensing (RS) is a key tool for deepening the knowledge on the spatial and temporal dynamics of sediment exchange between Amazon River and their floodplains. Moreover, RS image can help to understand how both climate change and land use and land cover changes influence the sediment exchange between the Amazon River and floodplain lakes. In th...

In Brazil, coffee production has great economic and social importance. Despite this fact, there is still a shortage of information regarding its spatial distribution, crop management and environment. The aim of this study was to carry out spectral monitoring of coffee lands and to characterize their environments using geotechnologies. Coffee fields...

In Brazil, coffee production has great economic and social importance. Despite this fact, there is still a shortage of information regarding its spatial distribution, crop management and environment. The aim of this study was to carry out spectral monitoring of coffee lands and to characterize their environments using geotechnologies. Coffee fields...

INTRODUÇÃO O Brasil apresenta uma expressiva diversidade de ecossistemas florestais, devido a grande área física e a diversidade de climas e solos existentes em seu território. O Estado de Minas Gerais é possuidor da maior variedade de formações vegetais do país, em decorrência de suas diversas condições geológicas, topográficas e climáticas. A veg...