Identification of Potentially Unmanageable Ice Features

2017 ◽  
Author(s):  
Svetlana Shafrova ◽  
Dmitri Matskevitch ◽  
Curtis Holub ◽  
Ted Kokkinis
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Near Field ◽  
Remote Sensing Data ◽  
Data Interpretation ◽  
Dual Frequency ◽  
Sensing Technology ◽  
Field Reconnaissance ◽  
Remote Sensing Systems ◽  
Remote Sensing Methods

Satellite remote sensing technology plays an important role in ice monitoring and characterization in support of ice management operations for Arctic floating drilling that previously have been described by industry to include three stages: (1) far-field reconnaissance for potentially unmanageable ice features (2) mid-field verification of ice breakability and (3) near-field ice floe size reduction. The paper discusses the application of satellite remote sensing methods for identification of Potentially Unmanageable Ice Features (PUIF) as well as challenges associated with satellite data interpretation and feature tracking. Examples of PUIF identification using both publicly and commercially available satellite imagery and other remote sensing data collected during the Oden Arctic Technology Research Cruise 2015 (OATRC 2015) are presented and the challenges with the PUIF detection and monitoring are discussed. In addition, airborne remote sensing systems for PUIF identification, both existing (such as Electromagnetic Induction (EMI)) and under development (such as dual frequency radar, multi-band synthetic aperture radar), are discussed and their capabilities contrasted and compared to satellite-based methods. Furthermore, potential ways of optimally combining airborne and satellite remote sensing are proposed.

Satellite remote sensing in the policy sphere

2019 ◽  
pp. 133-147
Author(s):  
Nathalie Pettorelli
Keyword(s):  
Remote Sensing ◽  
Natural Resources ◽  
Satellite Remote Sensing ◽  
Natural Capital ◽  
Remote Sensing Data ◽  
Resource Monitoring ◽  
Biodiversity Indicators ◽  
Sensing Technology ◽  
Essential Biodiversity Variables ◽  
Natural Resource Monitoring

This chapter focuses on the interface between satellite remote sensing and policy relevant to the management of natural resources, looking at ways for this technology to support decision making at the national to international scale. First, it briefly introduces (1) the main international conventions that are relevant to the management of natural resources and that could easily benefit from an increased consideration for satellite remote sensing technology, and (2) the main platforms facilitating the integration of satellite remote sensing data at the convention level. Second, it introduces the most popular conceptual frameworks that are being considered to help coordinate and structure natural resource monitoring efforts worldwide, namely the essential biodiversity variables framework, the biodiversity indicators framework, the ecosystem services framework, and the natural capital accounting framework. The final part highlights current challenges and lists a series of possible ways forward.

Future directions and challenges ahead

2019 ◽  
pp. 148-160
Author(s):  
Nathalie Pettorelli
Keyword(s):  
Remote Sensing ◽  
Environmental Management ◽  
Satellite Data ◽  
Satellite Remote Sensing ◽  
Multiple Scales ◽  
Remote Sensing Data ◽  
Future Directions ◽  
Sensing Technology ◽  
Ecosystem Accounting ◽  
Expected Benefits

This final chapter is dedicated to discussing possible new ways forward, aiming to highlight future opportunities and challenges likely to be connected with the continued development of remote sensing technology and associated algorithms to manipulate, visualise, and interpret satellite data. The first section discusses future directions in remote sensing, looking at upcoming sensors and expected benefits for the environmental management community; introducing the concept of big data analysis and its potential to drive a step-change in analytical processes; and detailing upcoming opportunities associated with the rise of nanosatellites and unmanned aerial vehicles. The second part of the chapter focuses on upcoming opportunities associated with the use of satellite remote sensing data for natural resource management, discussing how satellite data could support the development of rewilding as an alternative to traditional biodiversity conservation approaches; the assessment of collapse risk for ecosystems around the world; ecosystem accounting initiatives; and the enforcement of environmental policy at multiple scales. The third part details the challenges associated with building a consensus on how to prioritise satellite missions and data collection; and reflects on upcoming issues related to validation, capacity building, and scale. The chapter ends with a general conclusion that summarises some of the key principles that underpin the future success of satellite remote sensing in environmental management.

scholarly journals Vehicle Emission Detection in Data-Driven Methods

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Zheng He ◽  
Gang Ye ◽  
Hui Jiang ◽  
Youming Fu
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Remote Sensing Data ◽  
Vehicle Emission ◽  
Fuel Type ◽  
Essential Information ◽  
Sensing Technology ◽  
Main Component ◽  
Emission Detection ◽  
Remote Sensing Methods

Environmental protection is a fundamental policy in many countries, where the vehicle emission pollution turns to be outstanding as a main component of pollutions in environmental monitoring. Remote sensing technology has been widely used on vehicle emission detection recently and this is mainly due to the fast speed, reality, and large scale of the detection data retrieved from remote sensing methods. In the remote sensing process, the information about the fuel type and registration time of new cars and nonlocal registered vehicles usually cannot be accessed, leading to the failure in assessing vehicle pollution situations directly by analyzing emission pollutants. To handle this problem, this paper adopts data mining methods to analyze the remote sensing data to predict fuel type and registration time. This paper takes full use of decision tree, random forest, AdaBoost, XgBoost, and their fusion models to successfully make precise prediction for these two essential information and further employ them to an essential application: vehicle emission evaluation.

scholarly journals Using integrated remote sensing methods in the Nagyerdő Natura 2000 area

2014 ◽  
pp. 19-24
Author(s):  
Éva Bozsik ◽  
Tünde Fórián ◽  
Balázs Deák ◽  
Péter Riczu ◽  
János Fehér ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Monitoring System ◽  
Laser Scanning ◽  
Remote Sensing Data ◽  
Natura 2000 ◽  
Airborne Lidar ◽  
Sensing Technology ◽  
Data Collecting ◽  
Collecting Methods ◽  
Remote Sensing Methods

The more widely use of GIS, remote sensing technology provides appropriate data acquisition and data processing tools to build several national and international biodiversity monitoring system of environmental protection and natur conservation. The ChangeHabitats 2 is a similar international project, which uses airborne hyperspectral and airborne laser scanning (airborne LiDAR) sources beyond traditional data collection methods to build a monitoring system of Natura 2000 habitats. The goal of our research, on one hand, was to separate the most typical species of trees which can be found in the largest coverage in the research plots of Debreceni Nagyerdő Nature Reserve from field and airborne remote sensing data, use image classification that based on spectral and geometry (height) characteristics of the trees. On the other hand our goal was to evaluate the efficient use of the integration of mobilGIS, airborne hyperspectral and airborne LiDAR data collecting methods to complement or substitut of the traditional, field data collecting methods. We used ArcGIS 10.2 and Exelis 5.0 GIS software for data evaluation, in which the mosaicing, the selection of plots and the spectral image processing were carried out.

Monitoring land use change in the Lake Taupo catchment between 1975, 1990 and 2002 using satellite remote sensing data

2007 ◽  
pp. 17-22
Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Native Vegetation ◽  
Lake Water Quality ◽  
Livestock Farming ◽  
Slow Decline

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management

Small-scale vegetation mapping of large territories: perspectives of using modern remote sensing and GIS technologies, the Indian experiences

1996 ◽  
pp. 51-54 ◽  
Author(s):  
N. V. M. Unni
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Forest Cover ◽  
Human Life ◽  
Remote Sensing Data ◽  
Modern World ◽  
Small Scale ◽  
Vegetation Map ◽  
Gis Technologies ◽  
Forest Cover Mapping

The recognition of versatile importance of vegetation for the human life resulted in the emergence of vegetation science and many its applications in the modern world. Hence a vegetation map should be versatile enough to provide the basis for these applications. Thus, a vegetation map should contain not only information on vegetation types and their derivatives but also the geospheric and climatic background. While the geospheric information could be obtained, mapped and generalized directly using satellite remote sensing, a computerized Geographic Information System can integrate it with meaningful vegetation information classes for large areas. Such aft approach was developed with respect to mapping forest vegetation in India at. 1 : 100 000 (1983) and is in progress now (forest cover mapping at 1 : 250 000). Several review works reporting the experimental and operational use of satellite remote sensing data in India were published in the last years (Unni, 1991, 1992, 1994).

Satellite Remote Sensing and the Management of Natural Resources

2019 ◽  
Author(s):  
Nathalie Pettorelli
Keyword(s):  
Remote Sensing ◽  
Resource Management ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Satellite Data ◽  
Satellite Remote Sensing ◽  
Habitat Restoration ◽  
Remote Sensing Data ◽  
Ecological Knowledge ◽  
Postgraduate Students

This book intends to familiarise prospective users in the environmental community with satellite remote sensing technology and its applications, introducing terminology and principles behind satellite remote sensing data and analyses. It provides a detailed overview of the possible applications of satellite data in natural resource management, demonstrating how ecological knowledge and satellite-based information can be effectively combined to address a wide array of current natural resource management needs. Topics considered include the use of satellite data to monitor the various dimensions of biodiversity; the use of this technology to track pressures on biodiversity such as invasive species, pollution, and illegal fishing; the utility of satellite remote sensing to inform the management of protected areas, translocation, and habitat restoration; and the contribution of satellite remote sensing towards the monitoring of ecosystem services and wellbeing. The intended audience is ecologists and environmental scientists; the book is targeted as a handbook and is therefore also suitable for advanced undergraduate and postgraduate students in the biological and ecological sciences, as well as policy makers and specialists in the fields of conservation biology, biodiversity monitoring, and natural resource management. The book assumes no prior technical knowledge of satellite remote sensing systems and products. It is written so as to generate interest in the ecological, environmental management, and remote sensing communities, highlighting issues associated with the emergence of truly synergistic approaches between these disciplines.

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