iidentifiant
stringlengths
15
32
dates
stringlengths
9
10
Latitude
float64
4.04
9.99
Longitude
float64
-8.09
-2.74
biomass_mg_ha
float64
0.91
391
Beoue_20211005_001
2021-10-05
6.54761
-7.86824
110.680135
Beou_20211006_003
2021-10-06
6.54644
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108.786649
IFA_20211006_002
2021-10-06
6.51058
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48.061017
IFA_20211006_001
2021-10-06
6.50404
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160.546132
IF_20211007_001
2021-10-07
6.5218
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106.446295
IF_20211007_002
2021-10-07
6.51786
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178.112036
ONI_20211008_001
2021-10-08
6.45959
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182.073821
ONI_20211008_002
2021-10-08
6.45204
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122.295755
ONI_20211008_003
2021-10-08
6.45076
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382.268786
PSAKASSOU_2021109_001
2021-10-9
6.42845
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263.173239
ZEAGLO_20211009_002
2021-10-09
6.54907
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144.22296
PBodokro_20211011_001
2021-10-11
6.40762
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188.404592
ONI_20211012_001
2021-10-12
6.45887
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211.126115
ONI_20211012_002
2021-10-12
6.45097
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140.036452
ZEAGLO_20211014_001
2021-10-14
6.54318
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95.714548
ZEAGLO_20211014_002
2021-10-14
6.54288
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30.504177
ZEAGLO_20211015_001
2021-10-15
6.53669
-7.84513
137.270083
ZEAGLO_20211015_002
2021-10-15
6.53041
-7.84469
78.442148
BEOUE_20211005_002
2021-10-05
6.54645
-7.86836
220.187006
ZEAGLO_20211016_001
2021-10-16
6.52451
-7.84375
134.230335
ZEAGLO_20211016_002
2021-10-16
6.50101
-7.85195
107.81396
BEOUE_20211005_003
2021-10-05
6.54515
-7.86683
126.664515
MEDIBLY_20211019_001
2021-10-19
6.49467
-8.08778
183.582418
MEDIBLY_20211019_002
2021-10-19
6.48818
-8.07889
18.186418
ZOUAN_20211020_001
2021-10-20
6.54719
-7.61427
194.392091
SCA_ANI_P80_20211026_002
2021-10-26
6.66829
-3.62905
111.592334
SCA_ANI_P82_20211026_001
2021-10-26
6.68797
-3.6504
119.379509
SCA_ANI_P188_20211027_001
2021-10-27
6.67358
-3.649
115.787403
SCA_ANI_P131_20211027_002
2021-10-27
6.68558
-3.64509
81.424264
SCA_ANI_P41_20211028_001
2021-10-28
6.67996
-3.6885
168.293431
SCA_ANI_P85_20211028_002
2021-10-28
6.68897
-3.69699
126.711793
SCA_ANI_P83_20211028_003
2021-10-28
6.69001
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163.326869
SCA_DRA_P398_20211029_001
2021-10-29
6.70524
-3.6374
245.010386
SCA_DRA_P662_20211029_002
2021-10-29
6.7066
-3.63924
125.038569
SCA_DRA_p434_20211030_001
2021-10-30
6.69638
-3.64031
173.534998
SCA_DRA_P400_20211030_002
2021-10-30
6.69824
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123.997478
SCA_ANI_P69_20211101_001
2021-11-01
6.65033
-3.65052
128.090994
SCA_ANI_P165_20211101_002
2021-11-01
6.63931
-3.64906
260.325751
SCA_ANI_P111_20211102_001
2021-11-02
6.63962
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144.853222
SCA_ANI_P58_20211102_002
2021-11-02
6.63712
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112.587935
SCA_ANI_P606_20211103_001
2021-11-03
6.67572
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257.585208
SCA_ANI_P110_20211103_002
2021-11-03
6.674
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305.017349
SCA_ANI_P139_20211104_001
2021-11-04
6.66735
-3.70744
247.106914
SCA_SAT_P555_20211104_002
2021-11-04
6.66247
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124.054621
SCA_ANI_P157_20211105_001
2021-11-05
6.67939
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86.862115
SC_ANI_P195_20211105_002
2021-11-05
6.68008
-3.70221
181.708138
SCA_ANI_P179_20211106_001
2021-11-06
6.66809
-3.6973
154.873313
SCA_ANI_P213_20211106_002
2021-11-06
6.6788
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84.319678
SCA_DRA_P431_20211107_001
2021-11-07
6.71014
-3.6375
221.59387
SCA_DRA_P463_20211107_002
2021-11-07
6.70904
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95.853669
REMA_MEBI_S831_20211109_001
2021-11-09
5.87131
-3.60011
30.676427
REMA_MEBI_S832_20211109_002
2021-11-09
5.86635
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63.567427
REMA_MEBI_S833_20211109_003
2021-11-09
5.85688
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33.333833
REMA_BIEBI_S834_20211110_001
2021-11-10
6.05652
-3.5485
74.337562
REMA_TOLIE_S835_20211110_002
2021-11-10
6.04919
-3.53181
183.912406
REMA_TOLIE_S836_20211110_003
2021-11-10
6.01418
-3.50448
208.407124
REMA_BETTIE_S837_20211111_001
2021-11-11
6.08055
-3.51217
133.817363
REMA_BETTIE_S838_20211111_002
2021-11-11
6.03649
-3.46692
83.314621
REMA_BETTIE_S839_20211111_003
2021-11-11
6.03653
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114.693277
REMA_BIEBI_S840_20211112_001
2021-11-12
6.06809
-3.60138
106.773915
REMA_DJANGOBO_S841_20211112_002
2021-11-12
6.13326
-3.55221
164.036609
REMA_BIEBI_S842_20211113_001
2021-11-13
6.02652
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140.794642
REYA_KOSSANDJI_S843_20211113_002
2021-11-13
5.77815
-3.61372
205.66926
REYA_KOSSANDJI_S844_20211113_003
2021-11-13
5.7857
-3.61357
25.133459
REMA_BIEBI_S847_20211114_003
2021-11-14
6.06452
-3.58255
54.87754
REMA_TOLIE_846_20211114_002
2021-11-14
6.02047
-3.50857
391.127554
REMA_BIEBI_S845_20211114_001
2021-11-14
6.06332
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160.548047
REYA_KOSSANDJI_S849_20211115_002
2021-11-15
5.80795
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29.388722
REYA_KOSSANDJI_S848_20211115_001
2021-11-15
5.81459
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141.428534
SCO_SAN_P137_20211125_001
2021-11-25
5.76124
-3.11848
172.832788
REYA_KOSSANDJI_S850_20211115_003
2021-11-15
5.80083
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87.557824
SCO_SAN_P59_20211126_001
2021-11-26
5.755114
-3.10882
232.920066
SCO_SAN_P679_20211126_002
2021-11-26
5.78861
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177.970739
SCO_KET_P432_20211127_003
2021-11-27
5.9152
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200.447568
SCO_KET_P436_20211127_002
2021-11-27
5.91328
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236.408577
SCO_KET_P424_20211127_001
2021-11-27
5.91187
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144.834223
SCO_KET_P473_20211129_001
2021-11-29
5.91345
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SCO_KET_P677_20211129_002
2021-11-29
5.90845
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SCO_KET_P676_20211129_003
2021-11-29
5.90753
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SCO_KET_P678_20211130_001
2021-11-30
5.90477
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SCO_KET_P680_20211130_002
2021-11-30
5.90354
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SCO_KET_P681_20211130_003
2021-11-30
5.89186
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SCO_KET_P368_20211201_001
2021-12-01
5.84861
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SCO_KET_P412_20211201_002
2021-12-01
5.84873
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SCO_KET_P417_20211201_003
2021-12-01
5.84767
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SCO_KET_P682_20211202_001
2021-12-02
5.86516
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SCO_KET_P683_20211202_002
2021-12-02
5.86675
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SCO_KET_P684_20211202_003
2021-12-02
5.86928
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SCO_SAN_P134_20211203_001
2021-12-03
5.78843
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SCO_SAN_P102_20211207_002
2021-12-07
5.7831
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SCO_SAN_P117_20211207_001
2021-12-07
5.7824
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228.133455
SCO_SAN_P71_20211207_003
2021-12-07
5.78451
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171.165232
SCO_SAN_P49_20211208_001
2021-12-08
5.78553
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141.08369
SCO_SAN_P80_20211208_002
2021-12-08
5.78563
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183.369247
Ecam_Gba_P30_20221212_001
2022-12-12
5.42603
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Ecam_Gba_P31_20221212_002
2022-12-12
5.42659
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80.620209
Ecam_Gba_P32_20221212_003
2022-12-12
5.42744
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60.974153
Ecam_Gba_P33_20221212_004
2022-12-12
5.4283
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90.56039
Ecam_Gba_P34_20221212_005
2022-12-12
5.42856
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75.664312
Ecam_Gba_P35_20221213_001
2022-12-13
5.42505
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106.99018

The forest aboveground biomass (AGB) represents a crucial biophysical parameter within forest ecosystems, providing valuable information for sustainable forest management and accurate estimation of carbon stocks in a vegetal ecosystem, which plays a significant role in global climate evolution. However, the scarcity of datasets regarding AGB remains an unresolved issue in Africa. This gap leads to the absence of locally developed models to estimate AGB in African tropical forests, especially those in Côte d'Ivoire that have not received sufficient attention.

The formation of the biomass dataset was carried out in two stages, the first which consisted of a field trip to measure the parameters necessary for calculating the biomass in 263 plots in Ivory Coast. The measurements taken are : height, diameter at chest height, density and scientific name of the trees. Once these measurements were carried out, the second step consisted of calculating the biomass itself using an allometric equation. The final dataset has one dimension of (263,4), with the following columns: iidentifiant: identifier of the plot, dates: date of the field measurement, Latitude, Longitude which represent the coordinates of centroid of the plot and biomass_mg_ha: the biomass of the plot in (t/ha). These measurements were carried out between 2021 and 2023 in different regions of Côte d'Ivoire distributed on the map below. map_field_mesure.png

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