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Towards global flood mapping with machine learning based on the Harmonized Landsat-Sentinel 2 data

Floods are the largest natural hazard in terms of life loss and economic damage, regardless of their cause. In the United States alone, floods cause billions of dollars in property damage, with an estimate exceeding $78 billion due to fluvial floods …

Preliminary comparison and evaluation of soil moisture simulated in GFSv15 and GFSv16

Accurate estimation of land surface states is critical for improving prediction of coupled global weather and climate forecast systems, especially in regions with strong land-atmosphere interactions (e.g., semi-arid/”hot spots”). Soil moisture …

Can we detect more ephemeral floods with higher density harmonized Landsat 8/Sentinel 2 data compared to just one sensor?

Floods, defined as water that temporarily submerges land for over 72 hours or longer, are the largest natural hazard in terms of life loss and economic damage. Effective and immediate disaster response management can reduce the impact of floods but it requires near real-time information on flood occurrence, typically derived based on Earth Observation data.

The Effects of Climate and Human Drivers on Changes in Surface Water in the Southeastern United States

Water stress is a global concern as a changing climate leads to variations in weather patterns and agricultural and urban areas continue to use water-intensive practices. Understanding spatial and temporal factors of surface water dynamics is key to better managing our resources and limiting the effects of water stress

A Review of Geospatial Content in IEEE Visualization Publications

Geospatial analysis is crucial for addressing many of the world’s most pressing challenges. In this work, we explore this important intersection – between geospatial analytics and visualization – by examining a set of recent IEEE VIS Conference papers (a selection from 2017-2019) to assess the inclusion of geospatial data and geospatial analyses within these papers.

In-season wheat sown area mapping for Afghanistan using high resolution optical and RADAR images in cloud platform

Afghanistan has only 11% of arable land while wheat is the major crop with 80% of total cereal planted area. The production of wheat is therefore highly critical to the food security of the country with population of 35 million among which 30% are …

Simulation of the Hyperspectral Data from Multispectral Data Using Open Source Programming Environment

Multispectral remote sensing (MSS) sensors have been generally utilized for acquiring and extracting information of Land Use Land (LULC) Cover features in the past few decades. MSS sensor generally acquires data in the small window of spectral bands …

The influence of habitat characteristics on amphibian species richness in two river basins of Romania

We present the distribution and aquatic habitat use of amphibian communities in two river basins of Transylvania (Romania) on a medium spatial scale; the middle section of Târnava Mare Valley and the Upper section of the Olt Valley. We used between …