A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform

Spatiotemporal residual noise in terrestrial earth observation products, often caused by unfavorable atmospheric conditions, impedes their broad applications. Most users prefer to use gap-filled remote sensing products with time series reconstruction (TSR) algorithms. Applying currently available implementations of TSR to large-volume...

A high-resolution record of surface melt on Antarctic ice shelves using multi-source remote sensing data and deep learning

While the influence of surface melt on Antarctic ice shelf stability can be large, the duration and affected area of melt events are often small. Therefore, melt events are difficult to capture with remote sensing, as satellite sensors always face the trade-off between spatial and temporal resolution. To overcome this limitation, we developed...

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...

Crop Water Productivity Mapping and Benchmarking Using Remote Sensing and Google Earth Engine Cloud Computing

Scarce water resources present a major hindrance to ensuring food security. Crop water productivity (WP), embraced as one of the Sustainable Development Goals (SDGs), is playing an integral role in the performance-based evaluation of agricultural systems and securing sustainable food production. This study aims at developing a cloud-based...

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...

Eleven years of mangrove–mudflat dynamics on the mud volcano-induced prograding delta in east java, indonesia: Integrating uav and satellite imagery

This article presents a novel approach to explore mangrove dynamics on a prograding delta by integrating unmanned aerial vehicle (UAV) and satellite imagery. The Porong Delta in Indonesia has a unique geographical setting with rapid delta development and expansion of the mangrove belt. This is due to an unprecedented mud load from the LUSI...

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...

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...

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...

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...