4._Observational_Capacity_Simulation_Results_Table.xlsx
XLSX spreadsheet 24 KB Posted
- Attached to
- Satellite Data Purchase Project
- Solicitation number
- 0000027246
- Issued by
- Sacramento County, Sacramento City, California
About this file
The provided document is an Excel spreadsheet related to a State and Local contract opportunity for the State of California to procure satellite data and environmental indicators. The contract opportunity is focused on procuring services and earth observation data from small satellite constellations operated by non-government entities. The contract opportunity involves the jurisdictions of Sacramento County and Sacramento City, with a range of observation frequencies and spatial/temporal completeness values specified in the spreadsheet. No other details about the contract opportunity, such as response dates, award dates, or contract terms, are provided.
The spreadsheet itself appears to contain simulation results for observational capacity, with frequency, possible points, spatial completeness, and temporal completeness data for 344 different observation sites or sensors. The data suggests a mix of 10-day, bi-annual, and monthly observation frequencies, with corresponding completeness scores. No pricing, set-aside, or funding information is included in the provided materials.
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Text version
Sheet1
| ID | Frequency | Possible Points | Spatial Completeness | Temporal Completeness |
| 1 | 10 days | 3.75 | ||
| 2 | 10 days | 3.75 | ||
| 3 | 10 days | 3.75 | ||
| 4 | 10 days | 3.75 | ||
| 5 | bi-annual | 0.1 | ||
| 6 | 10 days | 3.75 | ||
| 7 | 10 days | 3.75 | ||
| 8 | 10 days | 3.75 | ||
| 9 | 10 days | 3.75 | ||
| 10 | 10 days | 3.75 | ||
| 11 | 10 days | 3.75 | ||
| 12 | 10 days | 3.75 | ||
| 13 | 10 days | 3.75 | ||
| 14 | bi-annual | 0.1 | ||
| 15 | 10 days | 3.75 | ||
| 16 | 10 days | 3.75 | ||
| 17 | 10 days | 3.75 | ||
| 18 | 10 days | 3.75 | ||
| 19 | 10 days | 3.75 | ||
| 20 | 10 days | 3.75 | ||
| 21 | 10 days | 3.75 | ||
| 22 | 10 days | 3.75 | ||
| 23 | 10 days | 3.75 | ||
| 24 | 10 days | 3.75 | ||
| 25 | 10 days | 3.75 | ||
| 26 | 10 days | 3.75 | ||
| 27 | bi-annual | 0.1 | ||
| 28 | bi-annual | 0.1 | ||
| 29 | bi-annual | 0.1 | ||
| 30 | bi-annual | 0.1 | ||
| 31 | bi-annual | 0.1 | ||
| 32 | bi-annual | 0.1 | ||
| 33 | bi-annual | 0.1 | ||
| 34 | bi-annual | 0.1 | ||
| 35 | bi-annual | 0.1 | ||
| 36 | bi-annual | 0.1 | ||
| 37 | bi-annual | 0.1 | ||
| 38 | bi-annual | 0.1 | ||
| 39 | bi-annual | 0.1 | ||
| 40 | bi-annual | 0.1 | ||
| 41 | bi-annual | 0.1 | ||
| 42 | bi-annual | 0.1 | ||
| 43 | bi-annual | 0.1 | ||
| 44 | bi-annual | 0.1 | ||
| 45 | bi-annual | 0.1 | ||
| 46 | bi-annual | 0.1 | ||
| 47 | bi-annual | 0.1 | ||
| 48 | bi-annual | 0.1 | ||
| 49 | bi-annual | 0.1 | ||
| 50 | bi-annual | 0.1 | ||
| 51 | bi-annual | 0.1 | ||
| 52 | bi-annual | 0.1 | ||
| 53 | bi-annual | 0.1 | ||
| 54 | bi-annual | 0.1 | ||
| 55 | bi-annual | 0.1 | ||
| 56 | bi-annual | 0.1 | ||
| 57 | bi-annual | 0.1 | ||
| 58 | bi-annual | 0.1 | ||
| 59 | bi-annual | 0.1 | ||
| 60 | bi-annual | 0.1 | ||
| 61 | bi-annual | 0.1 | ||
| 62 | bi-annual | 0.1 | ||
| 63 | bi-annual | 0.1 | ||
| 64 | bi-annual | 0.1 | ||
| 65 | bi-annual | 0.1 | ||
| 66 | bi-annual | 0.1 | ||
| 67 | bi-annual | 0.1 | ||
| 68 | bi-annual | 0.1 | ||
| 69 | bi-annual | 0.1 | ||
| 70 | bi-annual | 0.1 | ||
| 71 | bi-annual | 0.1 | ||
| 72 | bi-annual | 0.1 | ||
| 73 | bi-annual | 0.1 | ||
| 74 | bi-annual | 0.1 | ||
| 75 | bi-annual | 0.1 | ||
| 76 | bi-annual | 0.1 | ||
| 77 | bi-annual | 0.1 | ||
| 78 | bi-annual | 0.1 | ||
| 79 | bi-annual | 0.1 | ||
| 80 | bi-annual | 0.1 | ||
| 81 | bi-annual | 0.1 | ||
| 82 | bi-annual | 0.1 | ||
| 83 | bi-annual | 0.1 | ||
| 84 | bi-annual | 0.1 | ||
| 85 | bi-annual | 0.1 | ||
| 86 | bi-annual | 0.1 | ||
| 87 | bi-annual | 0.1 | ||
| 88 | bi-annual | 0.1 | ||
| 89 | bi-annual | 0.1 | ||
| 90 | bi-annual | 0.1 | ||
| 91 | bi-annual | 0.1 | ||
| 92 | bi-annual | 0.1 | ||
| 93 | bi-annual | 0.1 | ||
| 94 | bi-annual | 0.1 | ||
| 95 | bi-annual | 0.1 | ||
| 96 | bi-annual | 0.1 | ||
| 97 | bi-annual | 0.1 | ||
| 98 | bi-annual | 0.1 | ||
| 99 | bi-annual | 0.1 | ||
| 100 | bi-annual | 0.1 | ||
| 101 | bi-annual | 0.1 | ||
| 102 | bi-annual | 0.1 | ||
| 103 | bi-annual | 0.1 | ||
| 104 | bi-annual | 0.1 | ||
| 105 | bi-annual | 0.1 | ||
| 106 | bi-annual | 0.1 | ||
| 107 | bi-annual | 0.1 | ||
| 108 | bi-annual | 0.1 | ||
| 109 | bi-annual | 0.1 | ||
| 110 | bi-annual | 0.1 | ||
| 111 | bi-annual | 0.1 | ||
| 112 | bi-annual | 0.1 | ||
| 113 | bi-annual | 0.1 | ||
| 114 | bi-annual | 0.1 | ||
| 115 | bi-annual | 0.1 | ||
| 116 | bi-annual | 0.1 | ||
| 117 | bi-annual | 0.1 | ||
| 118 | bi-annual | 0.1 | ||
| 119 | bi-annual | 0.1 | ||
| 120 | bi-annual | 0.1 | ||
| 121 | bi-annual | 0.1 | ||
| 122 | bi-annual | 0.1 | ||
| 123 | bi-annual | 0.1 | ||
| 124 | bi-annual | 0.1 | ||
| 125 | bi-annual | 0.1 | ||
| 126 | bi-annual | 0.1 | ||
| 127 | bi-annual | 0.1 | ||
| 128 | bi-annual | 0.1 | ||
| 129 | bi-annual | 0.1 | ||
| 130 | bi-annual | 0.1 | ||
| 131 | bi-annual | 0.1 | ||
| 132 | bi-annual | 0.1 | ||
| 133 | bi-annual | 0.1 | ||
| 134 | bi-annual | 0.1 | ||
| 135 | bi-annual | 0.1 | ||
| 136 | bi-annual | 0.1 | ||
| 137 | bi-annual | 0.1 | ||
| 138 | bi-annual | 0.1 | ||
| 139 | bi-annual | 0.1 | ||
| 140 | bi-annual | 0.1 | ||
| 141 | bi-annual | 0.1 | ||
| 142 | bi-annual | 0.1 | ||
| 143 | bi-annual | 0.1 | ||
| 144 | bi-annual | 0.1 | ||
| 145 | bi-annual | 0.1 | ||
| 146 | bi-annual | 0.1 | ||
| 147 | bi-annual | 0.1 | ||
| 148 | bi-annual | 0.1 | ||
| 149 | bi-annual | 0.1 | ||
| 150 | bi-annual | 0.1 | ||
| 151 | bi-annual | 0.1 | ||
| 152 | bi-annual | 0.1 | ||
| 153 | bi-annual | 0.1 | ||
| 154 | bi-annual | 0.1 | ||
| 155 | bi-annual | 0.1 | ||
| 156 | bi-annual | 0.1 | ||
| 157 | bi-annual | 0.1 | ||
| 158 | bi-annual | 0.1 | ||
| 159 | bi-annual | 0.1 | ||
| 160 | bi-annual | 0.1 | ||
| 161 | bi-annual | 0.1 | ||
| 162 | bi-annual | 0.1 | ||
| 163 | bi-annual | 0.1 | ||
| 164 | bi-annual | 0.1 | ||
| 165 | bi-annual | 0.1 | ||
| 166 | bi-annual | 0.1 | ||
| 167 | bi-annual | 0.1 | ||
| 168 | bi-annual | 0.1 | ||
| 169 | bi-annual | 0.1 | ||
| 170 | bi-annual | 0.1 | ||
| 171 | bi-annual | 0.1 | ||
| 172 | bi-annual | 0.1 | ||
| 173 | bi-annual | 0.1 | ||
| 174 | bi-annual | 0.1 | ||
| 175 | bi-annual | 0.1 | ||
| 176 | bi-annual | 0.1 | ||
| 177 | bi-annual | 0.1 | ||
| 178 | bi-annual | 0.1 | ||
| 179 | bi-annual | 0.1 | ||
| 180 | bi-annual | 0.1 | ||
| 181 | bi-annual | 0.1 | ||
| 182 | bi-annual | 0.1 | ||
| 183 | bi-annual | 0.1 | ||
| 184 | bi-annual | 0.1 | ||
| 185 | bi-annual | 0.1 | ||
| 186 | bi-annual | 0.1 | ||
| 187 | bi-annual | 0.1 | ||
| 188 | bi-annual | 0.1 | ||
| 189 | bi-annual | 0.1 | ||
| 190 | bi-annual | 0.1 | ||
| 191 | bi-annual | 0.1 | ||
| 192 | bi-annual | 0.1 | ||
| 193 | bi-annual | 0.1 | ||
| 194 | bi-annual | 0.1 | ||
| 195 | bi-annual | 0.1 | ||
| 196 | bi-annual | 0.1 | ||
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| 198 | bi-annual | 0.1 | ||
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| 200 | bi-annual | 0.1 | ||
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| 228 | bi-annual | 0.1 | ||
| 229 | bi-annual | 0.1 | ||
| 230 | bi-annual | 0.1 | ||
| 231 | bi-annual | 0.1 | ||
| 232 | bi-annual | 0.1 | ||
| 233 | bi-annual | 0.1 | ||
| 234 | bi-annual | 0.1 | ||
| 235 | bi-annual | 0.1 | ||
| 236 | bi-annual | 0.1 | ||
| 237 | bi-annual | 0.1 | ||
| 238 | bi-annual | 0.1 | ||
| 239 | bi-annual | 0.1 | ||
| 240 | bi-annual | 0.1 | ||
| 241 | bi-annual | 0.1 | ||
| 242 | bi-annual | 0.1 | ||
| 243 | bi-annual | 0.1 | ||
| 244 | bi-annual | 0.1 | ||
| 245 | bi-annual | 0.1 | ||
| 246 | bi-annual | 0.1 | ||
| 247 | bi-annual | 0.1 | ||
| 248 | bi-annual | 0.1 | ||
| 249 | bi-annual | 0.1 | ||
| 250 | bi-annual | 0.1 | ||
| 251 | bi-annual | 0.1 | ||
| 252 | bi-annual | 0.1 | ||
| 253 | bi-annual | 0.1 | ||
| 254 | bi-annual | 0.1 | ||
| 255 | bi-annual | 0.1 | ||
| 256 | bi-annual | 0.1 | ||
| 257 | bi-annual | 0.1 | ||
| 258 | bi-annual | 0.1 | ||
| 259 | bi-annual | 0.1 | ||
| 260 | bi-annual | 0.1 | ||
| 261 | bi-annual | 0.1 | ||
| 262 | bi-annual | 0.1 | ||
| 263 | bi-annual | 0.1 | ||
| 264 | bi-annual | 0.1 | ||
| 265 | bi-annual | 0.1 | ||
| 266 | bi-annual | 0.1 | ||
| 267 | bi-annual | 0.1 | ||
| 268 | bi-annual | 0.1 | ||
| 269 | bi-annual | 0.1 | ||
| 270 | bi-annual | 0.1 | ||
| 271 | bi-annual | 0.1 | ||
| 272 | bi-annual | 0.1 | ||
| 273 | bi-annual | 0.1 | ||
| 274 | bi-annual | 0.1 | ||
| 275 | bi-annual | 0.1 | ||
| 276 | bi-annual | 0.1 | ||
| 277 | bi-annual | 0.1 | ||
| 278 | bi-annual | 0.1 | ||
| 279 | bi-annual | 0.1 | ||
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| 286 | bi-annual | 0.1 | ||
| 287 | bi-annual | 0.1 | ||
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| 289 | bi-annual | 0.1 | ||
| 290 | bi-annual | 0.1 | ||
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| 292 | bi-annual | 0.1 | ||
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| 294 | bi-annual | 0.1 | ||
| 295 | bi-annual | 0.1 | ||
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| 297 | bi-annual | 0.1 | ||
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| 299 | bi-annual | 0.1 | ||
| 300 | bi-annual | 0.1 | ||
| 301 | bi-annual | 0.1 | ||
| 302 | bi-annual | 0.1 | ||
| 303 | bi-annual | 0.1 | ||
| 304 | bi-annual | 0.1 | ||
| 305 | bi-annual | 0.1 | ||
| 306 | bi-annual | 0.1 | ||
| 307 | bi-annual | 0.1 | ||
| 308 | bi-annual | 0.1 | ||
| 309 | bi-annual | 0.1 | ||
| 310 | bi-annual | 0.1 | ||
| 311 | bi-annual | 0.1 | ||
| 312 | bi-annual | 0.1 | ||
| 313 | bi-annual | 0.1 | ||
| 314 | bi-annual | 0.1 | ||
| 315 | bi-annual | 0.1 | ||
| 316 | bi-annual | 0.1 | ||
| 317 | bi-annual | 0.1 | ||
| 318 | bi-annual | 0.1 | ||
| 319 | 3 days | 11 | ||
| 320 | 3 days | 11 | ||
| 321 | 3 days | 11 | ||
| 322 | 3 days | 11 | ||
| 323 | 3 days | 11 | ||
| 324 | 3 days | 11 | ||
| 325 | 3 days | 11 | ||
| 326 | monthly | 0.95 | ||
| 327 | monthly | 0.95 | ||
| 328 | bi-annual | 0.1 | ||
| 329 | bi-annual | 0.1 | ||
| 330 | bi-annual | 0.1 | ||
| 331 | bi-annual | 0.1 | ||
| 332 | bi-annual | 0.1 | ||
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| 337 | bi-annual | 0.1 | ||
| 338 | bi-annual | 0.1 | ||
| 339 | bi-annual | 0.1 | ||
| 340 | bi-annual | 0.1 | ||
| 341 | bi-annual | 0.1 | ||
| 342 | bi-annual | 0.1 | ||
| 343 | bi-annual | 0.1 | ||
| 344 | bi-annual | 0.1 |
File details come from the government source that posted it. Updated .