11 Matching Annotations
  1. Aug 2022
    1. he US National Institute of Standards andTechnology (NIST) has begun the process of stan-dardizing and deploying quantum-safe public-keycryptography

      This is an example of politics being biased by technology.



  2. Mar 2021
    1. Potential Impact on Organizations and Individuals

      Low = limited moderate = serious high = severe or catastrophic

    2. Security Objectives

      FISMA outlines three objectives around security:

      1. Confidentiality'
      2. Integrity
      3. Availability

      The low, medium, and high refer what risk of potential impact would the data have in any of the three got breached.

    1. OMB Circular A-130,Managing Information as a Strategic Resource [OMB A-130], addresses responsibilities for protecting federal information resources and for managing personally identifiable information (PII).

      How we have to manage PII

    1. retain all the practices from NIST 800-171, and find a way for DIB members of varying cyber-sophistication to participate without POAMs.

      history of cmmc, two requirements and the connection to nist-800-171

    1. blication has been developed by NIST to further its statutory responsibilities under the Federal Information Security Management Act (FISMA), Public Law (P.L.) 107-347.

      Find the FISMA act

  3. Jul 2020
  4. Feb 2017
    1. Only 23 studies actually integrated both active and passive data sources into the ITCD procedure since 2000 (Figure 2).

      Only a small fraction of studies combine LiDAR and Hyperspectral data for the crown delineation phase of analysis.

    2. Another limitation is that few approaches take full advantage of the information contained within remotely sensed data, e.g., using only one band of multispectral imagery [29] or only the canopy height model derived from LiDAR data [30]. Significant amounts of information are dismissed or neglected during data preparation or processing. The integration of multispectral data and discrete LiDAR data is commonly used to improve tree species classification [10] and fusion of passive and active remotely sensed data may reduce commission and omission errors in ITCD results [31].

      Excellent point about the importance of integrating all available data to make the best possible crown delineations. In the case of the National Ecological Observatory Network Airborne Observation Platform methods that leverage the LiDAR, hyperspectral, and high-resolution RGB photographic data should have the potential to outperform methods that ignore components of this data.

    3. Comparison of methods continues to be complicated by both choice of reference data and assessment metric; it is imperative to establish a standardized two-level assessment framework to evaluate and compare ITCD algorithms in order to provide specific recommendations about suitable applications of particular algorithms.

      An important call for standardized reference data and assessment for moving individual tree crown delineation forward.