environmental monitoring and rest or at ion requires efficient access to large amounts of spatial information. the geographic information system (gis) and remotely sensed data are related to both physical and man-mad e features. in order to handle this task, the environmental scienc es section (ess) created the environmental data atlas (eda) that uses spatial keys to link all data sources to a ...

For about two decades remote sensing (RS) data in the form of multi-spectral air photography, ground based weather radar as well as geostationary and polar orbiting satellite data have been available for use in hydrology. It is the intention of this paper to advocate the use of RS data in the field of hydrological modelling. It is shown that the main field of application of RS data in hydrologi...

   Today, remote sensing technology is used in all scientific and informing fields around the world, and it has achieved to very satisfying results. In the present study, by using remote sensing technology and application of satellite photographs the coefficient of curve number was estimated with high accuracy and pick discharge of the flood was calculated with a good accuracy. In this study, i...

Characterizations of up to date information of the Earth's surface are an important application providing insights to urban planning, resources monitoring and environmental studies. A large number of change detection (CD) methods have been developed to solve them by utilizing remote sensing (RS) images. The advent of high resolution (HR) remote sensing images further provides challenges to trad...

The rapid development of remote sensing (RS) technology has resulted in the proliferation of high-resolution images. There are challenges involved in not only storing large volumes of RS images but also in rapidly retrieving the images for ocean disaster analysis such as for storm surges and typhoon warnings. In this paper, we present an efficient retrieval of massive ocean RS images via a Clou...

In recent years, object detection based on deep learning has been widely applied and developed. When using methods to process remote sensing images, the trade-off between speed accuracy of models is necessary, because images pose additional difficulties such as complex backgrounds, small objects, dense distribution task. This paper proposes YOLO-RS, an optimized algorithm YOLOv4 address challen...

A large volume of remote sensing (RS) data has been generated with the deployment satellite technologies. The facilitates research in ecological monitoring, land management and desertification, etc. characteristics RS (e.g., enormous volume, single-file size demanding requirement fault tolerance) make Hadoop Distributed File System (HDFS) an ideal choice for storage as it is efficient, scalable...

The purpose of the paper is to find a new approach to measure 3D green biomass of urban forest and to testify its precision. In this study, the 3D green biomass could be acquired on basis of a remote sensing inversion model in which each standing wood was first scanned by Terrestrial Laser Scanner to catch its point cloud data, then the point cloud picture was opened in a digital mapping data a...

High nitrogen fertiliser applications are very common in many densely populated areas as in the North China Plain (NCP). A still growing population and an ongoing economic progress enforce that process. Remote sensing methods can help to optimize the N-management for diagnosing crop N status on a field and regional level. For that purpose, spectral and agronomic data were collected during the v...