Multi-Source Data Modelling to Understand the Effects of Tourism Demand on Air Quality in Italy

The goal of this research is to model and understand the effects of tourism demand on air quality by performing data integration on multi-source data. This research is aimed at researchers and practitioners aiming to perform multidisciplinary research in the fields of data science and geoscience, presenting the methods and challenges that arise...

High resolution water consumption in the Mountain Aquifer Based on SEBAL Model Earth Engine Implementation

This study aimed to generate accurate evapotranspiration (ETA) data for the Mountain Aquifer region using the SEBAL model in Google Earth Engine (GEE) with a resolution of 30 m. The analysis provided valuable insights into evapotranspiration's spatial and temporal dynamics and its relationship with land use characteristics. Significant spatial...

Assessing beach width dynamics through earth observations

Coasts are constantly under the pressure of hydrodynamic conditions such as waves, tides, and storms. In the Netherlands, sand nourishments are executed every few years in order to maintain the country’s sandy beaches for purposes of safety, recreation, and ecology. In order to determine where to carry out these nourishments, the whole sandy...

Soccer Fields as Rainfall Detectors using Machine Learning: The case of Ghana

Agriculture is an important source of income for many countries in the Global South, where it may account for as much as 25% of GDP. Precipitation is crucial for agriculture in countries like Ghana, where ~95% of farming is rainfed. Accurate rainfall observations are limited in Ghana. The sparse rain gauge network and the lack of weather radars...

Sustainability of groundwater resources in Kumasi, Ghana: Estimating potential groundwater recharge using a water-balance approach and remote-sensing data in Google Earth Engine

Groundwater use has seen a significant increase in the rapidly urbanising city of Kumasi, Ghana, due to its reliability, general good quality, and low-cost development. Conversion of vegetated to urban land along with the challenges of growing groundwater abstraction has put the groundwater system at risk. This study aims to assess how the...

Estimating new reservoir locations with the use of a hydrological model for small holder cotton farmers in Maharashtra, India

For cotton cultivation, large amounts of water are necessary. One of the countries facing water challenges related to cotton cultivation is India. India experiences a monsoon weather pattern causing large amount of rain from June to October and no rain during the other months. One of the challenges India’s small holder cot- ton farmers face is...

Deriving Beach Grain Size from Satellite Imagery: A multimethod approach for deriving intertidal beach slopes and sediment grain sizes for different coastal environments

The world's coasts are at risk: an estimated 24% of the world's beaches are eroding. Extreme events such as storms continuously threaten the coastal region and pose a serious risk of coastal flooding. Under the influence of climate change, the seaward pressures are only expected to increase. Sea level rise is accelerating, storm intensities and...

Multi-case Evaluation of Empirical Methods for Satellite-Derived Bathymetry

Research on the physical, ecological and environmental processes in the coastal zone often rely on the availability of accurate bathymetric information. The traditional method to acquire these data is by conducting depth soundings from a vessel, which is a very accurate way for measuring bottom elevations in all kinds of water, but has as a...

Spatiotemporal snow pattern in the Qilian Mountains from 2001 to 2018

In many parts of the world, water retained in snowpack and glaciers are critical to the stability of downstream ecosystems and human society. This study sets out to quantify, map, and explain the spatiotemporal pattern of annual snow cover duration, which are quantified by regional differences in the number of annual snow cover days (Dsc) and...

Estimating snow cover decline using the RSLE in Google Earth Engine: A Caucasus case study

Snow in mountainous areas is of great importance for the water supply in many catchments. To get data on snow cover, ground station data is not enough and, in many catchments, not available. Therefore, satellite data is used to measure snow cover. In this thesis the MODIS daily snow cover dataset (MOD10A1) is used. These images are obstructed by...

River-width determination by the use of optical remote sensing missions: A research based on the determination of sub-pixel accurate river-widths using optical remote sensing

River data on discharge and characteristics is essential for water management and water supply, as well as for flood prediction and flood control (Pan, Wang, and Xi 2016). In practice, many watersheds are ungauged due to high costs, inaccessibility and even due to political instability (Pan, Wang, and Xi 2016). For this reason, measuring...

The application of the FAO WaPOR data portal to monitor efficient water use in agriculture: A case study on the Eastern Nile River Basin

Water scarcity has been a growing problem for many places around the world as water usage has been increasing with double the rate of population growth in the twentieth century. As agriculture accounts for 70 percent of global freshwater withdrawals, fresh water availability will thus face even greater stress (World Bank, 2013). Sustainable...

Coastline evolution around African seaports: An evidence database from space

Seaports are important maritime commercial facilities and key hubs for national and global trades. There is a growing need for seaborne transport and, hence, seaport facilities, especially in emerging economies due to economic and population growth, such as in Africa. In sedimentary environments, port construction may induce coastal impacts...

Classifying Mangroves in Vietnam using Radar and Optical Satellite Remote Sensing: Processing Sentinel-1 and Sentinel-2 Imagery in Google Earth Engine

Mangroves are forest ecosystems growing in (sub)tropical saline coastal environments. With their unique root structure they serve as important natural coastal protection and provide habitats with excellent conditions for cultivating fish, shrimp and crab species. Despite all benefits mangrove forests are disappearing at alarming rates around the...

The physical processes influencing morphodynamics in braided rivers: A case study on the Ayeyarwady River

The Ayeyarwady River is a river with large hydrological variations and an abundance of relatively fine non-cohesive sediment, causing the dynamic behaviour of the river with fast shifting channels. This dynamic behaviour, together with the large hydrological variations, is the source of a frequently flooding river with a moderate navigability....

Deriving a global identification tool of sandy beaches using satellite images

The objective of this research is to explore the feasibility of detecting sandy beaches at a high spatial level, using satellite images. A pixel-based classification scheme of the four classes selected (sand, mud, vegetation and gravel) is conducted, using Landsat 8 Top-of-Atmosphere images (years 2014 and 2015) and Google Earth Engine. Moreover...