Satellite data provide the only viable means for extensive monitoring of remote and large freshwater systems, such as Amazon floodplain lakes. However, an accurate atmospheric correction is required to retrieve water constituents based on surface reflectance ( R W ). In this paper, we assessed three methods (Second Simulation a Signal in Solar Spectrum (6SV), ACOLITE Sen2Cor) applied image acquired by MultiSpectral Instrument (MSI) on-board European Space Agency’s Sentinel-2A platform using...

The PlanetScope CubeSat constellation is providing unprecedented global coverage, visible to near infrared, atmospherically corrected, 3 m imagery. revisit interval between successive overpasses varies in space and time a complex manner because of variety factors particularly the different sensor orbits. temporal availability imagery quantified this study considering all publicly available images acquired globally for 12 month period from December 1st 2019 November 30th 2020. A total 175.8...

Abstract Multiangle Implementation of Atmospheric Correction (MAIAC) is a new Moderate Resolution Imaging Spectroradiometer (MODIS) algorithm that combines time series approach and image processing to derive surface reflectance atmosphere products, such as aerosol optical depth (AOD) columnar water vapor (CWV). The quality assessment MAIAC AOD at 1 km resolution still lacking across South America. In the present study, critical 550 was performed using ground‐truth data from 19 Aerosol...

High spatial resolution commercial satellite data provide new opportunities for terrestrial monitoring. The recent availability of near-daily 3 m observations provided by the PlanetScope constellation enables mapping small and spatially fragmented burns that are not detected at coarser resolution. This study demonstrates, first time, potential automated burned area mapping. sensors have no onboard calibration or short-wave infrared bands, variable overpass times, making them challenging to...

The tasseled cap transformation (TCT) has been widely used to decompose satellite multi-spectral information into "brightness", "greenness", and "wetness" components. Published TCT coefficients for the Landsat sensor series have mainly derived using top of atmosphere (TOA) reflectance sparse data sets. Studies derive surface (SR) are lacking. In this study, were independently Landsat-8 Operational Land Imager (OLI) SR TOA Gram-Schmidt orthogonalization (GSO) method. To ensure that robust...

Due to increasing algae bloom occurrence and water degradation on a global scale, there is demand for quality monitoring systems based remote sensing imagery. This paper describes the scientific, theoretical, methodological background creating cloud-computing interface Google Earth Engine (GEE) which allows end-users access related products with high spatial (30 m) temporal (~5 day) resolution. The proposed methodology uses Sentinel-2 images corrected atmospheric sun-glint effects generate...

Satellite remote sensing data have been used for water quality mapping, but accurate reflectance retrieval is dependent on multiple procedures, such as atmospheric and adjacency corrections. For the latter, physical-based methods are to minimize effects caused by neighboring land targets close pixels, implementation requires environmental parameters, aerosol optical depth horizontal range (i.e., distance in meters) of effect (HAdj). Generally, HAdj empirically defined users can lead...

Secchi Disk Depth (Zsd) is one of the most fundamental and widely used water-quality indicators quantifiable via optical remote sensing. Despite decades research, development, demonstrations, currently, there no operational model that enables retrieval Zsd from rich archive Landsat, long-standing civilian Earth-observation program (1972 – present). Devising a robust requires comprehensive in situ dataset for testing validation, enabling consistent mapping across optically varying global...

Abstract 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 rigorously validated using situ measured reflectance. This letter quantifies demonstrates quality SR products by harnessing a sizeable global dataset ( N = 1100). We found that 8/9 green red bands marginally meet targeted...

Urban reservoirs are important for drinking water services and urban living. However, potentially toxic cyanobacteria blooms frequently present due to human pollution might threaten the supply. Conveniently, can be monitored by remote sensing-based approaches based on spectral features of C-Phycocyanin (PC). Furthermore, methods leveraging Machine Learning Algorithms (MLA) PC estimation from hyperspectral data have highlighted potential estimate more accurately - even at low concentrations....

Wetland inventory maps are essential information for the conservation and management of natural wetland areas. The classification framework is crucial successful mapping complex wetlands, including model selection, input variables training procedures. In this context, deep neural network (DNN) a powerful technique remote sensing image classification, but application has not been discussed in previous literature, especially using commercial WorldView-3 data. This study developed new DNN...

Inland and coastal environments are complex ecosystems composed of suspended dissolved materials, affecting light propagation within the water column. Satellite-based quality research relies on optical properties provided by sensors board polar orbit satellites since 1980's. Specifically, Geostationary (GEO) ocean colour offer high temporal resolution (e.g. every 15-minute observations), moderate spatial (0.5–1 km) at regional scale, making them a promising alternative to orbiting for...

Detecting and quantifying cyanobacteria algal bloom occurrence plays an important role in preventing public health risks understanding aquatic ecosystem dynamics. Satellite remote sensing has been used as data source to estimate biomass based on pigment concentration. Phycocyanin (PC) is a unique of inland water widely proxy for biomass. Based the PC absorption feature around 620 nm, scientific efforts have made develop bio-optical models orbital satellite observations, but proposed limit...

Remote sensing plays an important role in the monitoring of inland waters. Recently, Cubesats have become alternative data source for studies that require high spatiotemporal resolutions. However, radiometric quality those was never evaluated water studies. This letter presents experimental results to assess Sensing Reflectance (Rrs) from commercial PlanetScope (PS) CubeSat constellation. The assessment performed using situ Rrs measured at 37 field stations on distinct lakes across Lower...