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Figure 2-11. Example of a stratified, nonbiased sampling schema for the Dry Lake Solar Energy Zone. 40 • REGIONAL MITIGATION STRATEGY FOR THE DRY LAKE SOLAR ENERGY ZONE • TECHNICAL NOTE 444
Remote sensing technologies provide several benefits. They support the collection of spatially comprehensive datasets that are not otherwise readily available. In addition, the collection of data from a satellite or aircraft is nonintrusive, a very valuable feature for assessing ecologically and culturally sensitive areas. Semiautomated data processing of remotely sensed images can be a cost-effective way to reliably detect and identify features and quantify parameters over large areas more frequently. This feature is desirable for monitoring spatially heterogeneous and temporally dynamic arid and semiarid environments. Historic archives of remotely sensed data permit retrospective assessments and are thus suitable for long-term monitoring (Washington-Allen et al. 2006). Figure 2-12. Example of a stratified, nonbiased sampling schema for the Gold Butte Area of Critical Environmental Concern. REGIONAL MITIGATION STRATEGY FOR THE DRY LAKE SOLAR ENERGY ZONE • TECHNICAL NOTE 444 • 41
Page 1 and 2: Regional Mitigation Strategy for th
Page 3 and 4: Regional Mitigation Strategy for th
Page 5 and 6: TABLE OF CONTENTS ABSTRACT_________
Page 7 and 8: The “Regional Mitigation Strategy
Page 9 and 10: 1.2 Background I n 2012, the BLM an
Page 11 and 12: 1.4 Stakeholder Involvement in the
Page 13 and 14: Range. A full description of the la
Page 15 and 16: plant communities of regional impor
Page 17 and 18: Figure 2-4. Dry Lake Solar Energy Z
Page 19 and 20: Figure 2-6. Land cover types in the
Page 21 and 22: Geospatial Data 1. Landscape Condit
Page 23 and 24: Table 2-3 (continued). Solar Energy
Page 25 and 26: 2.3 Summary of Solar Development Im
Page 27 and 28: 2.4.2 Minimization 2.4.2.1 Summary
Page 29 and 30: documented (see Appendix A, Impact
Page 31 and 32: • Manage desert tortoise habitat
Page 33 and 34: Step 1: Select Mitigation Action(s)
Page 35 and 36: 2.8 Evaluation of Mitigation Locati
Page 37 and 38: Figure 2-10. Gold Butte Area of Cri
Page 39 and 40: Mitigation Goals and Tasks Reason W
Page 41 and 42: 2.9 Mitigation Effectiveness Monito
Page 43 and 44: (MacKinnon et al. 2011) and supplem
Page 45: are evaluated. These data are also
Page 49 and 50: 2.10 Implementation Strategy This p
Page 51 and 52: References BLM (Bureau of Land Mana
Page 53 and 54: Resource/ Issue Are impacts compreh
Page 55 and 56: Resource/ Issue Are impacts compreh
Page 57 and 58: Appendix B: Regional and Dry Lake S
Page 59 and 60: Tier 3 Conceptual Model, Dry Lake S
Page 61 and 62: Resource/ Issue Unavoidable Impacts
Page 63 and 64: Appendix D: BLM Screening of Candid
Page 65 and 66: # Criteria SEZ Candidate Sites Note
Page 67 and 68: # Criteria SEZ Candidate Sites Note
Page 69 and 70: Appendix E: Mitigation of Visual Re
Page 71 and 72: The Dry Lake SEZ is located within
Page 73 and 74: This distribution indicates that Sc
Page 75 and 76: for determining VRM Class objective
Page 77 and 78: Figure 7. BLM Southern Nevada Distr
Page 79 and 80: Sensitivity. Distribution of sensit
Page 81 and 82: VRM Class Objectives: The majority
Page 83: Desert National Wildlife Refuge, th

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