Envelope-Based Grid-Point Approach: Efficient Runtime Complexity for Remote Sensing Coverage Analysis

Low Cost UAV-based Remote Sensing for Autonomous Wildlife Monitoring

In recent years, developments in unmanned aerial vehicles, lightweight on-board computers, and low-cost thermal imaging sensors offer a new opportunity for wildlife monitoring. In contrast with traditional methods now surveying endangered species to obtain population and location has become more cost-effective and least time-consuming. In this paper, a low-cost UAV-based remote sensing platform...

Information Management for Grid-Based Remote Sensing Problem Solving Environment

The aim of this work is to design and then implement a Configuration Repository for a grid-based Problem Solving Environment (PSE), specialized to describe applications and data belonging to the remote sensing field. In a distributed environment the information system plays a central role in order to enhance scheduling algorithms and, more generally, to address grid-aware application requiremen...

SIG-DDS: a Grid-based Remote Sensing Data Distribution System

Data distribution is one of the most important steps for the remote sensing applications; it depends on the Remote Sensing Data Distribution System (RS-DDS). The conventional RS-DDS such as GCMD Mapserver [1] or CEOP [2] often provides a web based user interface and supports little data types only. Although the WCS [3]/WFS [4]/WMS [5] purposed by OGC try to make it possible for applications to ...

Remote sensing based on hyperspectral data analysis

Online Change Point Detection for Remote Sensing Time Series Online Change Point Detection for Remote Sensing Time Series

Lack of the global knowledge of land-cover changes limits our understanding of the earth system, hinders natural resource management and also compounds risks. Remote sensing data provides an opportunity to automatically detect and monitor land-cover changes. Although changes in land cover can be observed from remote sensing time series, most traditional change point detection algorithms do not ...