|
|
|
|
|
Lilai Jin, Sarah J. Higgins, James A. Thompson, Michael P. Strager, Sean E. Collins and Jason A. Hubbart
Saturated hydraulic conductivity (Ksat) is a hydrologic flux parameter commonly used to determine water movement through the saturated soil zone. Understanding the influences of land-use-specific Ksat on the model estimation error of water balance compon...
ver más
|
|
|
|
|
|
|
|
|
|
|
Altayeb A. Obaid, Elhadi M. Adam, K. Adem Ali and Tamiru A. Abiye
The Vaal Dam catchment, which is the source of potable water for Gauteng province, is characterized by diverse human activities, and the dam encounters significant nutrient input from multiple sources within its catchment. As a result, there has been a r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weiying Wang and Toshihiro Osaragi
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cristina Torrecillas, Andres Payo, Manuel Cobos, Helen Burke, Dave Morgan, Helen Smith and Gareth Owen Jenkins
This study represents the first attempt to map the sediment thickness spatial distribution along the Andalusian coastal zone by integrating various publicly available datasets. While prior studies have presented bedform- and sediment-type syntheses, none...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuhuan Wu and Yonghong Wu
Salient object detection (SOD) aims to identify the most visually striking objects in a scene, simulating the function of the biological visual attention system. The attention mechanism in deep learning is commonly used as an enhancement strategy which e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jie Li, Zhengchuan Sun, Qin Gao and Yanbin Qi
Under the backdrop of the ?double-carbon? target, the primary grain-producing regions in China are confronted with the tasks of mitigating pollution and carbon emissions and ensuring food security. This paper explores the eco-efficiency of cropland utili...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zijia Zheng, Yizhu Jiang, Qiutong Zhang, Yanling Zhong and Lizheng Wang
The timely monitoring of urban water bodies using unmanned aerial vehicle (UAV)-mounted remote sensing technology is crucial for urban water resource protection and management. Addressing the limitations of the use of satellite data in inferring the wate...
ver más
|
|
|
|
|
|
|
|
|
|
|
Benjamin Burrichter, Julian Hofmann, Juliana Koltermann da Silva, Andre Niemann and Markus Quirmbach
This study presents a deep-learning-based forecast model for spatial and temporal prediction of pluvial flooding. The developed model can produce the flooding situation for the upcoming time steps as a sequence of flooding maps. Thus, a dynamic overview ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Karel Macku, Jaroslav Burian and Hynek Vodicka
Although quality of life is a phenomenon with a significant geographical component, its assessment is often only based on non-spatial statistical data. In Czechia, there are currently several assessments of quality of life at the level of municipalities,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Iwona Kaczmarek, Adam Iwaniak and Aleksandra Swietlicka
Classification is one of the most-common machine learning tasks. In the field of GIS, deep-neural-network-based classification algorithms are mainly used in the field of remote sensing, for example for image classification. In the case of spatial data in...
ver más
|
|
|
|
|
|