Satellite Earth Observations in Environmental Problem-Solving

Young, Oran R.; Onoda, Masami

doi:10.1007/978-981-10-3713-9_1

Cited by 12 publications

(9 citation statements)

References 5 publications

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“…Because the Multispectral satellite sensors are always downloaded in individual bands, the layer stacking tool was used to build the composite satellite image bands depending on the nature of every sensor. Based on the sensor properties in optical satellites, several atmospheric issues (e.g., clouds) can decrease the accuracy of the data (Elfadaly, Lasaponara, et al, 2017; Elfadaly, Wafa, et al, 2017; Elfadaly et al, 2018; Young & Onoda, 2017). Therefore, some pre‐processing data enhancement steps were applied using SNAP and ENVI basic tools such as data calibration, atmospheric correction and dark‐object subtraction (Chang et al, 2008).…”

Section: Methodsmentioning

confidence: 99%

Tracking the effects of the long‐term changes on the coastal archaeological sites of the Mediterranean using remote sensing data: The case study from the northern shoreline of Nile Delta of Egypt

Elfadaly

Abutaleb

Naguib

et al. 2023

Archaeological Prospection

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Climate change effects along with anthropogenic activities present the main factors that threaten the existence of heritage sites across the north Nile Delta of Egypt close to the coastline of the Mediterranean Sea. Observing the changes in the landscape close to the archaeological sites is an important issue for decision‐makers in terms of reducing the negative impact of natural events and human activities. The coastal heritage sites are becoming strongly threatened by the rising sea level phenomena that will happen due to global warming. Focusing on the distribution of the archaeological sites, this study aims to detect the areas at risk of shoreline erosion or accretion in the northern shoreline of the Nile Delta. In this study, the changes in the northern shoreline of the Nile Delta were observed and calculated during the last hundred years based on the integration between the old topographic maps from surveys in 1900, 1925 and 1945, optical satellite images captured by Landsat in 1972, 1986 and 2000; Sentinel2 2021; and the Radar SRTM data. The results of this study showed that the changes were enormous with a great shoreline erosion process over the last 121 years recorded along the shoreline in the periods between 1900–1925, 1925–1945, 1945–1972, 1972–1986, 1986–2000 and 2000–2021. The areas eroded were about 5.3, 4.7, 5.6, 8.9, 2.5 and 5.4 km2, respectively. Such negative movements caused the loss of two heritage sites, and the expected changes will lead to the loss of additional heritage sites in the next 500 years. Furthermore, a model was suggested for protecting the coastal heritage sites threatened by the risk of submergence. This study can help the decision‐makers to detect the coastal archaeological sites at risk and create innovative solutions for protecting these irreplaceable heritage sites.

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Section: Methodsmentioning

confidence: 99%

Tracking the effects of the long‐term changes on the coastal archaeological sites of the Mediterranean using remote sensing data: The case study from the northern shoreline of Nile Delta of Egypt

Elfadaly

Abutaleb

Naguib

et al. 2023

Archaeological Prospection

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“…Earth Observation (EO) satellite data are necessary for environmental monitoring and gathering vital information about various Earth layers [1]. Specifically, EO data are widely used to monitor the atmosphere including air pollution [2] and temperature [3], the oceans considering sea pollution and ocean acidity [4], and ground, such as deforestation [5] and forest fire [6], as well as to detect climatic changes [7].…”

Section: Background and Motivationmentioning

confidence: 99%

Data Compression-Aware Performance Analysis of Dask and Spark for Earth Observation Data Processing

Lalayan¹

2023

MPCS

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High-performance computing is a good choice for handling Big Earth Observation data, allowing the processing of the data in a distributed and performance-efficient way using in-memory computing frameworks. The data compression technique reduces the amount of storage and network transfer time and improves processing performance. The article aims to investigate the effectiveness of widely used distributed data processing frameworks in conjunction with lossless data compression techniques, to find the optimal compression method and processing framework for specific earth observation workflows. Normalized Difference Vegetation Index has been evaluated for the territory of Armenia, obtaining data from the Sentinel satellite and considering the supported compression methods to compare the performance of in-memory Dask and Spark frameworks. Experiments show that the Zstandard compression method and the Dask framework are the best choices for such workflows.

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“…Satellite crop detection technology is focused on the detection of different types of crops in the field in the early stage before harvesting. There exists a large area of domains where such technologies can be used [1][2][3][4][5]. As examples, we can mention:…”

Section: Introductionmentioning

confidence: 99%

Crop Detection Using Time Series of Sentinel-2 and Sentinel-1 and Existing Land Parcel Information Systems

Snevajs

Zadražil

Onckelet³

et al. 2022

Remote Sensing

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Satellite crop detection technologies are focused on the detection of different types of crops in fields. The information of crop-type area is more useful for food security than the earlier phenology stage is. Currently, data obtained from remote sensing (RS) are used to solve tasks related to the identification of the type of agricultural crops; additionally, modern technologies using AI methods are desired in the postprocessing stage. In this paper, we develop a methodology for the supervised classification of time series of Sentinel-2 and Sentinel-1 data, compare the accuracies based on different input datasets and find how the accuracy of classification develops during the season. In the EU, a unified Land Parcel Identification System (LPIS) is available to provide essential field borders. To increase usability, we also provide a classification of the entire field. This field classification also improves overall accuracy.

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Satellite Earth Observations in Environmental Problem-Solving

Cited by 12 publications

References 5 publications

Tracking the effects of the long‐term changes on the coastal archaeological sites of the Mediterranean using remote sensing data: The case study from the northern shoreline of Nile Delta of Egypt

Tracking the effects of the long‐term changes on the coastal archaeological sites of the Mediterranean using remote sensing data: The case study from the northern shoreline of Nile Delta of Egypt

Data Compression-Aware Performance Analysis of Dask and Spark for Earth Observation Data Processing

Crop Detection Using Time Series of Sentinel-2 and Sentinel-1 and Existing Land Parcel Information Systems

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