Extract vegetation phenology by phenofit (v0.2.7) at 95 flux sites.
There are two data files:
pheno_flux95_prim ((GPP_DT) v0.2.6.9000).rda: vegetation carbon phenology from GPP_DTpheno_flux95_prim ((GPP_NT) v0.2.6.9000).rda: vegetation carbon phenology from GPP_NT
For each file, two variables are in there:
df_gpp_prim: vegetation carbon phenological metrics extracted from flux sites GPP observationsdf_VI_prim: vegetation greenness phenological metrics extracted from MODIS remote sensing vegetation indexes
load("INPUT/pheno_flux95_prim ((GPP_NT) v0.2.6.9000).rda")
# load("INPUT/pheno_flux95_prim ((GPP_DT) v0.2.6.9000).rda")
print(df_gpp_prim)
# site meth flag origin TRS1.sos TRS1.eos TRS2.sos TRS2.eos
# 1: DE-Seh AG 2008_1 2008-01-01 69 203 82 199
# 2: DE-Seh AG 2009_1 2009-01-01 76 203 86 191
# 3: DE-Seh AG 2010_1 2010-01-01 148 301 154 294
# 4: DE-Seh Beck 2008_1 2008-01-01 70 203 83 199
# 5: DE-Seh Beck 2009_1 2009-01-01 75 201 86 191
# ---
# 2538: CZ-BK2 Elmore 2012_1 2012-01-01 114 214 118 212
# 2539: CZ-BK2 Zhang 2009_1 2009-01-01 105 215 115 213
# 2540: CZ-BK2 Zhang 2010_1 2010-01-01 114 206 123 202
# 2541: CZ-BK2 Zhang 2011_1 2011-01-01 101 201 108 197
# 2542: CZ-BK2 Zhang 2012_1 2012-01-01 112 213 119 210
# TRS5.sos TRS5.eos TRS6.sos TRS6.eos TRS8.sos TRS8.eos TRS9.sos TRS9.eos
# 1: 105 191 111 189 125 185 136 181
# 2: 103 174 108 169 118 159 125 153
# 3: 163 278 166 273 171 261 174 250
# 4: 105 191 110 189 124 185 135 181
# 5: 101 177 105 173 115 163 121 156
# ---
# 2538: 122 206 124 202 126 190 130 176
# 2539: 131 205 135 201 147 191 157 187
# 2540: 138 192 142 188 151 180 158 174
# 2541: 120 187 123 183 131 173 139 166
# 2542: 130 202 133 198 141 188 148 180
# DER.sos DER.pop DER.eos UD SD DD RD Greenup Maturity Senescence
# 1: 105 169 191 72 136 180 204 58 157 174
# 2: 107 140 169 80 127 151 198 69 133 141
# 3: 166 182 281 151 176 257 302 144 181 246
# 4: 105 166 192 75 133 181 203 70 139 176
# 5: 102 139 175 80 121 157 197 75 127 150
# ---
# 2538: 122 146 NA 115 129 199 NA 109 135 154
# 2539: 131 184 NA 108 154 196 NA 103 159 188
# 2540: 139 163 197 118 157 178 NA 113 160 174
# 2541: 120 162 195 103 136 173 NA 99 142 165
# 2542: 130 172 NA 115 146 191 NA 110 150 181
# Dormancy GSL
# 1: 209 86
# 2: 208 71
# 3: 312 115
# 4: 207 86
# 5: 202 76
# ---
# 2538: NA 84
# 2539: NA 74
# 2540: NA 54
# 2541: NA 67
# 2542: NA 72
print(df_VI_prim)
# sate type_VI site group meth flag origin TRS1.sos TRS1.eos
# 1: combined EVI AT-Neu 1 AG 2003_1 2003-01-01 97 357
# 2: combined EVI AT-Neu 1 AG 2004_1 2004-01-01 108 366
# 3: combined EVI AT-Neu 1 AG 2005_1 2005-01-01 98 346
# 4: combined EVI AT-Neu 1 AG 2006_1 2006-01-01 117 347
# 5: combined EVI AT-Neu 1 AG 2007_1 2007-01-01 100 362
# ---
# 643422: Terra NDVI_pc ZM-Mon 9 Zhang 2014_1 2014-01-01 267 530
# 643423: Terra NDVI_pc ZM-Mon 9 Zhang 2015_1 2015-01-01 265 524
# 643424: Terra NDVI_pc ZM-Mon 9 Zhang 2016_1 2016-01-01 270 533
# 643425: Terra NDVI_pc ZM-Mon 9 Zhang 2017_1 2017-01-01 264 510
# 643426: Terra NDVI_pc ZM-Mon 9 Zhang 2018_1 2018-01-01 317 527
# TRS2.sos TRS2.eos TRS5.sos TRS5.eos TRS6.sos TRS6.eos TRS8.sos TRS8.eos
# 1: 107 331 125 285 130 273 143 247
# 2: 122 339 149 292 156 279 172 252
# 3: 108 326 126 290 130 279 140 253
# 4: 132 321 156 280 163 269 176 246
# 5: 104 336 115 288 118 274 124 242
# ---
# 643422: 279 511 299 479 305 470 318 447
# 643423: 280 506 305 476 312 467 332 446
# 643424: 287 513 316 481 325 471 345 449
# 643425: 277 493 301 465 309 457 327 439
# 643426: 326 508 341 476 346 466 356 443
# TRS9.sos TRS9.eos DER.sos DER.pop DER.eos UD SD DD RD Greenup
# 1: 154 231 123 199 272 97 151 225 346 86
# 2: 181 234 156 200 279 113 185 231 355 98
# 3: 146 234 130 158 292 103 148 243 344 93
# 4: 185 231 163 202 268 124 188 228 334 111
# 5: 129 218 116 138 287 NA 130 228 358 NA
# ---
# 643422: 331 427 299 393 479 272 326 439 524 267
# 643423: 340 426 304 342 476 268 342 440 519 261
# 643424: 363 429 316 377 480 274 357 439 527 268
# 643425: 344 421 299 390 466 260 338 430 505 253
# 643426: 364 422 341 400 476 320 362 436 524 316
# Maturity Senescence Dormancy GSL
# 1: 165 200 370 160
# 2: 199 216 384 143
# 3: 157 174 368 164
# 4: 201 218 356 124
# 5: 137 154 182 173
# ---
# 643422: 331 395 428 180
# 643423: 341 427 526 171
# 643424: 375 427 534 165
# 643425: 345 420 512 164
# 643426: 366 405 530 135column variables:
sate: MODIS satellites, one of “combined” “Aqua”, and “Terra”type_VI: vegetation indexes, one of “EVI”, “NDVI”, “EVI_pc” and “NDVI_pc”group: 3*3 grids id,5is the central gridmeth: curve fitting methods, one offlag: growing season idorigin: first date of this yearothers: vegetation phenological metrics extracted by phenofit