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https://www.tips.osmre.gov/software/remoteSensingSupportTeam.shtm
The TIPS Remote Sensing Team includes members from the States and OSM offices. The team works together to promote the use of remote sensing technology to implement the Surface Mining Control and Reclamation Act of 1977 (SMCRA).
https://www.mdpi.com/journal/remotesensing/special_issues/Remote_Sensing_Support_Environmental_Policy
The use of remote sensing for environmental policy development is now quite common and well-documented, as images from remote sensing platforms are often used to focus attention on emerging environmental issues and spur debate on potential policy solutions. However, its use in policy [...]
https://famit.nwcg.gov/applications/RAWS/RSFWSUservices
The mission of the Remote Sensing / Fire Weather Support Unit (RSFWSU) is to service and support Remote Automatic Weather Stations (RAWS) according to interagency agreements and the Interagency Wildland Fire Weather Station Standards & Guidelines (PMS 426-3).
https://www.sciencedirect.com/science/article/pii/S0924271610001140
Linear support vector machines were reported to be useful in classification of hyperspectral remote sensing data whose elements had been extracted using a technique called kernel principal component analysis (KPCA) (Fauvel et al., 2009). Although only the basic SVM was employed in the set of experiments, the improved feature provided a significant clue on the effectiveness of SVMs especially …Cited by: 1798
https://www.mdpi.com/journal/remotesensing
The utilization of advanced remote sensing methods to monitor the coastal wetlands is essential for conservation and sustainable development. With multiple polarimetric channels, the polarimetric synthetic aperture radar (PolSAR) is increasingly employed in land cover classification and information extraction, as it has more scattering information than regular SAR images.
https://ieeexplore.ieee.org/document/1323134
Aug 16, 2004 · Abstract: This paper addresses the problem of the classification of hyperspectral remote sensing images by support vector machines (SVMs). First, we propose a theoretical discussion and experimental analysis aimed at understanding and assessing the potentialities of SVM classifiers in hyperdimensional feature spaces.Cited by: 2788
https://www.quora.com/How-does-remote-sensing-work-and-what-is-its-application-to-GIS
May 14, 2017 · Remote sensing is the art and science of making measurements of the earth using sensors on airplanes or satellites. These sensors collect data in the form of images and provide specialized capabilities for manipulating, analyzing, and visualizing those images. Remote sensed imagery is integrated within a GIS.
https://www.sciencedirect.com/science/article/pii/S0034425707001721
Oct 30, 2007 · Two primary conclusions may be drawn from this brief review of current and future remote sensing applications in support of NFIs. First, satellite imagery has contributed greatly to the ability of NFIs to produce more timely, cost efficient, and precise inventory estimates and has greatly facilitated construction of the spatial products that are in increasing demand.Cited by: 354
https://en.wikipedia.org/wiki/Remote_sensing
Within the scope of the combat against desertification, remote sensing allows researchers to follow up and monitor risk areas in the long term, to determine desertification factors, to support decision-makers in defining relevant measures of environmental management, and to assess their impacts.
https://www.napsgfoundation.org/wp-content/uploads/2013/02/NAPSG-Remote-Sensing-Webcast-022213.pdf
Remote Sensing 101 •Remote sensing is a growing and dynamic area encompassing a growing number of sources. •Remote sensing information can include imagery, elevation information (lidar or IFSAR), video, thermal or other types of sensors •Remote sensing can also include imagery collected by individuals, stationary cameras, vehicles and drones.
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