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Lampiran

Bagian dari skripsi Pemodelan Simpanan Karbon Mangrove Berbasis Citra Sentinel 2A di Muara Sungai Cipunegara, Subang, Jawa Barat · Daftar isi

Lampiran 1.Tallysheet Pengukuran Parameter Biomassa Mangrove

|:-----------------------|:----| | Nama Surveyor : | | | Lokasi : | | | Nomor Petak ukur : | | | Koordinat Petak ukur : | |

NoNama LokalNama IlmiahStrataKeliling (cm)DBH (m)
PlotJenisKeliling_cmDBH_cmW_kgC_kg
:-----:---------------------------------:-------:--------:-------:
P1Avicennia alba67.1821.38153.2176.61
P1Avicennia alba82.4126.23253.84126.92
P1Avicennia alba50.7316.1576.5438.27
P1Avicennia alba40.2512.8143.2121.61
P1Avicennia marina88.3428.12473.53236.76
P1Avicennia marina75.6224.07328.48164.24
P1Rhizophora mucronata43.8713.96121.4160.71
P1Rhizophora mucronata80.1625.52581.98290.99
P10Avicennia alba60.7519.34119.4959.75
P10Avicennia alba55.1317.5594.0147.00
P10Avicennia alba55.2617.5994.5647.28
P10Avicennia marina70.2822.37276.50138.25
P10Avicennia marina73.2223.31304.48152.24
P10Avicennia marina77.6924.73350.03175.01
P10Rhizophora mucronata58.818.72260.02130.01
P11Avicennia alba78.7925.08227.18113.59
P11Avicennia alba87.5527.87294.78147.39
P11Avicennia alba85.6327.26279.06139.53
P11Avicennia marina75.4224.01326.44163.22
P11Avicennia marina80.1525.51376.66188.33
P11Rhizophora mucronata41.2813.14103.6451.82
P12Avicennia alba100.3731.95413.17206.59
P12Avicennia alba86.527.53286.12143.06
P12Avicennia alba87.8427.96297.19148.60
P12Avicennia marina96.4730.71582.49291.25
P12Avicennia marina93.0929.63535.62267.81
P12Avicennia marina89.4128.46487.13243.57
P12Avicennia marina83.5226.59414.98207.49
P12Rhizophora mucronata56.3617.94232.89116.44
P13Avicennia alba55.9117.8097.3348.66
P13Avicennia alba54.8217.4592.7146.35
P13Avicennia marina57.8718.42175.0787.53
P13Avicennia marina56.5718.01165.9582.98
P13Avicennia marina63.7420.29219.74109.87
P14Avicennia alba79.8425.41234.73117.36
P14Avicennia alba76.2824.28209.71104.86
P14Avicennia alba78.4924.98225.04112.52
P14Avicennia marina83.3526.53413.00206.50
P14Avicennia marina80.2525.54377.77188.88
P14Avicennia marina73.9623.54311.77155.89
P14Rhizophora mucronata47.2915.05147.5873.79
P15Avicennia alba138.644.12917.18458.59
P15Avicennia marina138.0643.951353.64676.82
P15Sonneratia alba70.0622.301.310.65
P15Sonneratia alba70.0322.291.310.65
P15Sonneratia alba69.6522.171.300.65
P15Sonneratia alba68.2221.721.280.64
P16Avicennia alba55.8117.7696.9048.45
P16Avicennia alba58.0918.49106.9853.49
P16Avicennia alba52.6516.7683.9041.95
P16Avicennia marina67.8521.60254.53127.27
P16Avicennia marina75.0523.89322.69161.34
P16Avicennia marina70.2622.36276.31138.16
P16Avicennia marina67.4921.48251.37125.68
P16Rhizophora mucronata73.8723.51470.58235.29
P17Avicennia alba83.3126.52260.75130.37
P17Avicennia alba85.8127.31280.51140.26
P17Avicennia marina70.0122.28274.01137.00
P17Avicennia marina73.2223.31304.48152.24
P17Rhizophora mucronata29.79.4544.0322.02
P18Avicennia alba46.4114.7761.4330.72
P18Avicennia alba47.0814.9963.6531.82
P18Avicennia alba52.6616.7683.9441.97
P18Avicennia marina57.6118.34173.2286.61
P18Avicennia marina59.7119.01188.4494.22
P18Avicennia marina51.4816.39132.9466.47
P18Rhizophora mucronata41.9813.36108.2854.14
P19Avicennia alba83.1226.46259.28129.64
P19Avicennia alba77.1424.55215.60107.80
P19Avicennia alba76.4224.33210.66105.33
P19Avicennia marina78.0124.83353.43176.71
P19Avicennia marina75.4724.02326.95163.48
P19Rhizophora mucronata43.7413.92120.4860.24
P2Avicennia alba55.8317.7796.9948.49
P2Avicennia alba48.2615.3667.6633.83
P2Avicennia marina83.4726.57414.40207.20
P2Avicennia marina75.0923.90323.09161.55
P2Rhizophora mucronata47.6115.15150.1975.09
P2Rhizophora mucronata43.1413.73116.2358.11
P20Avicennia alba72.6323.12185.7892.89
P20Avicennia alba71.1822.66176.7588.38
P20Avicennia alba70.3422.39171.6485.82
P20Avicennia marina64.4120.50225.21112.61
P20Avicennia marina63.8320.32220.47110.23
P20Avicennia marina67.421.45250.58125.29
P20Avicennia marina65.0520.71230.51115.25
P20Rhizophora mucronata37.4411.9280.4140.20
P21Avicennia alba96.6330.76376.17188.08
P21Avicennia alba96.630.75375.88187.94
P21Avicennia marina98.2431.27607.95303.97
P21Avicennia marina92.9629.59533.86266.93
P21Rhizophora mucronata59.7919.03271.55135.78
P22Avicennia alba66.4721.16149.2474.62
P22Avicennia alba60.9319.39120.3760.18
P22Avicennia alba67.3921.45154.4077.20
P22Avicennia marina80.5525.64381.10190.55
P22Avicennia marina76.3724.31336.20168.10
P22Avicennia marina83.9126.71419.55209.78
P22Rhizophora mucronata63.1620.10313.16156.58
P23Avicennia alba79.6225.34233.13116.57
P23Avicennia alba74.2723.64196.3298.16
P23Avicennia marina72.222.98294.60147.30
P23Avicennia marina66.321.10241.07120.53
P23Avicennia marina62.7319.97211.63105.82
P23Rhizophora mucronata39.2912.5191.1545.57
P24Avicennia alba77.8524.78220.54110.27
P24Avicennia alba72.8823.20187.3793.68
P24Avicennia alba76.9124.48214.02107.01
P24Avicennia marina69.6822.18270.98135.49
P24Avicennia marina80.0325.47375.33187.67
P24Avicennia marina71.5422.77288.30144.15
P24Avicennia marina78.3424.94356.96178.48
P24Rhizophora mucronata37.7612.0282.2141.10
P25Avicennia alba94.8130.18358.90179.45
P25Avicennia alba91.8629.24331.94165.97
P25Avicennia marina90.3428.76499.14249.57
P25Avicennia marina89.0828.36482.91241.46
P25Rhizophora mucronata51.6616.44185.7092.85
P3Avicennia alba130.7241.61793.67396.83
P3Avicennia alba90.4628.79319.58159.79
P3Avicennia alba65.1920.75142.2471.12
P3Avicennia marina72.5523.09297.97148.98
P3Avicennia marina60.3819.22193.4596.73
P3Rhizophora mucronata75.8324.14503.74251.87
P3Rhizophora mucronata65.4420.83343.41171.70
P3Rhizophora mucronata47.2815.05147.5073.75
P4Sonneratia alba35.3411.250.710.36
P4Sonneratia alba52.1216.591.000.50
P4Sonneratia alba62.7519.971.190.59
P4Sonneratia alba43.4113.820.850.43
P4Sonneratia alba50.8916.200.980.49
P4Sonneratia alba33.6810.720.680.34
P5Avicennia alba137.7443.84903.18451.59
P5Avicennia marina139.2844.331381.94690.97
P5Sonneratia alba65.3920.811.230.61
P5Sonneratia alba65.1720.741.230.61
P5Sonneratia alba65.9721.001.240.62
P5Sonneratia alba66.821.261.250.63
P5Sonneratia alba69.9922.281.310.65
P5Sonneratia alba69.6722.181.300.65
P6Avicennia alba127.9340.72752.47376.23
P6Avicennia marina133.6942.551254.99627.50
P6Sonneratia alba65.3920.811.230.61
P6Sonneratia alba68.5221.811.280.64
P6Sonneratia alba53.0116.871.020.51
P6Sonneratia alba67.8321.591.270.64
P6Sonneratia alba45.7814.570.900.45
P6Sonneratia alba69.9922.281.310.65
P7Avicennia alba85.8127.31280.51140.26
P7Avicennia alba82.9826.41258.20129.10
P7Avicennia marina79.0525.16364.61182.31
P7Avicennia marina81.1925.84388.26194.13
P7Sonneratia alba42.7713.610.840.42
P7Sonneratia alba47.5315.130.930.46
P8Avicennia alba64.0120.38135.9767.98
P8Avicennia alba93.1129.64343.21171.61
P8Avicennia alba103.4632.93445.32222.66
P8Avicennia marina93.1929.66536.97268.49
P8Avicennia marina91.0428.98508.28254.14
P8Sonneratia alba52.4616.701.010.51
P8Sonneratia alba46.4814.800.910.45
P8Sonneratia alba68.6921.861.280.64
P9Avicennia alba94.2630.00353.78176.89
P9Avicennia alba95.9630.55369.76184.88
P9Avicennia marina87.6827.91465.25232.62
P9Avicennia marina90.1128.68496.15248.08
P9Rhizophora mucronata44.8614.28128.6664.33

Lampiran 2. Tabel Perhitungan Biomassa dan Karbon Mangrove

Lampiran 3. Tabel Uji Regresi Linier

PlotNDVIIRECITRVIAGBAGCSplit
P10.881477540.944251763.98427402203.221681295.51419017Train
P20.908358281.342171144.56334533116.855057754.92187711Train
P30.898519061.167490994.32529004274.1561826128.8534058Test
P40.858578050.761886333.62520020.542050310.254763646Train
P50.949003641.399776.18211027229.2677773107.7558553Train
P60.94364551.239294475.87278695201.446597794.6799009Test
P70.86620070.961365763.73467016129.335279260.78758122Train
P80.896633481.072895514.28352937197.295383792.72883034Train
P90.955007071.238298046.59176976181.360448985.23941101Train
P100.91660111.053510134.793864149.908169470.45683964Train
P110.894518181.105007544.23799631160.775551775.56450931Train
P120.956649311.973958986.71828633324.959448152.7309406Test
P130.746582540.596487992.6252840275.0796355535.28742871Train
P140.904125641.156206764.45652731191.959312690.22087691Train
P150.910049491.3744254.60808526227.6004872106.972229Train
P160.887532791.153697374.09670129186.326519287.57346403Train
P170.843597260.812973083.43329288116.378148354.69772968Test
P180.878762190.821564123.9365598681.1905727238.15956918Test
P190.898889930.934187594.33363857148.640095769.86084498Train
P200.932188061.185584165.3379147154.135055272.44347595Test
P210.948483591.436395816.15000656216.5409329101.7742385Train
P220.918066461.118058714.83839121187.40208688.07898042Train
P230.915333961.117009014.7562824126.790183659.59138629Test
P240.920728191.209738514.92236236199.569429193.79763169Train
P250.904405751.096866144.46337993185.859894787.35415051Test

Lampiran 4. Output Pemodelan Scikitlearn

============================================================
SCIKIT-LEARN REGRESSION EVALUATION REPORT
============================================================
MODEL 1: SINGLE INDEX: NDVI
------------------------------------------------------------
Model Parameters:
Coefficient (NDVI ) : 321.7727
Intercept : -209.2286
Equation : y = 321.7727 * (NDVI) + (-209.2286)
Regression Metrics (Test Set):
R-squared (R2) : 0.3453
Explained Variance : 0.3475
Mean Absolute Error : 21.3506 ton/ha
Mean Squared Error : 990.5747 ton/ha
Root Mean Sq. Error : 31.4734 ton/ha
Max Error : 66.7836 ton/ha
============================================================
MODEL 2: SINGLE INDEX: IRECI
------------------------------------------------------------
Model Parameters:
Coefficient (IRECI) : 77.9298
Intercept : -7.2491
Equation : y = 77.9298 * (IRECI) + (-7.2491)
Regression Metrics (Test Set):
R-squared (R2) : 0.7387
Explained Variance : 0.7416
Mean Absolute Error : 12.6965 ton/ha
Mean Squared Error : 395.4019 ton/ha
Root Mean Sq. Error : 19.8847 ton/ha
Max Error : 51.8698 ton/ha
============================================================
MODEL 3: SINGLE INDEX: TRVI
------------------------------------------------------------
Model Parameters:
Coefficient (TRVI ) : 15.6557
Intercept : 7.8132
Equation : y = 15.6557 * (TRVI) + (7.8132)
Regression Metrics (Test Set):
R-squared (R2) : 0.4288
Explained Variance : 0.4328
Mean Absolute Error : 21.5043 ton/ha
Mean Squared Error : 864.2562 ton/ha
Root Mean Sq. Error : 29.3982 ton/ha
Max Error : 64.3134 ton/ha
============================================================
MODEL 4: DOUBLE INDEX: NDVI & IRECI
------------------------------------------------------------
Model Parameters:
Coefficient (NDVI ) : 13.8548
Coefficient (IRECI) : 75.4039
Intercept : -16.8688
Equation : y = 13.8548 * (NDVI) + 75.4039 * (IRECI) + (-16.8688)
Regression Metrics (Test Set):
R-squared (R2) : 0.7347
Explained Variance : 0.7377
Mean Absolute Error : 12.8639 ton/ha
Mean Squared Error : 401.3861 ton/ha
Root Mean Sq. Error : 20.0346 ton/ha
Max Error : 52.2211 ton/ha
============================================================
MODEL 5: DOUBLE INDEX: NDVI & TRVI
------------------------------------------------------------
Model Parameters:
Coefficient (NDVI ) : 252.0041
Coefficient (TRVI ) : 3.8904
Intercept : -164.4373
Equation : y = 252.0041 * (NDVI) + 3.8904 * (TRVI) + (-164.4373)
Regression Metrics (Test Set):
R-squared (R2) : 0.3811
Explained Variance : 0.3841
Mean Absolute Error : 21.2144 ton/ha
Mean Squared Error : 936.4345 ton/ha
Root Mean Sq. Error : 30.6012 ton/ha
Max Error : 65.7767 ton/ha
============================================================
MODEL 6: DOUBLE INDEX: IRECI & TRVI
------------------------------------------------------------
Model Parameters:
Coefficient (IRECI) : 81.6197
Coefficient (TRVI ) : -1.0512
Intercept : -6.5443
Equation : y = 81.6197 * (IRECI) + -1.0512 * (TRVI) + (-6.5443)
Regression Metrics (Test Set):
R-squared (R2) : 0.7429
Explained Variance : 0.7455
Mean Absolute Error : 12.4044 ton/ha
Mean Squared Error : 389.0553 ton/ha
Root Mean Sq. Error : 19.7245 ton/ha
Max Error : 51.5752 ton/ha
============================================================

Lampiran 5. Srip Kode Analisis

Bahasa Pemrograman : Python versi 3.

Pustaka yang digunakan : geemap, scikit-learn, matplotlib, pandas, numpy, cartoee, cartopy, os, earth-engine-api

Platform eksekusi kode : Google Collaboratory (Runtime python3: CPU)

Fungsi : Pemetaan dan Permodelan Karbon Mangrove

Lisensi akun : Non-komersial (Riset)

Tautan skrip : https://colab.research.google.com/drive/1spUyhpK4LdA8APk65yOcm81S_5mL2fG-?usp=sharing

Akun GEE : ee-defaniarman

Format file kode : ipynb*,* py,

Lampiran 6. Dokumentasi Program Komputasi

Lampiran 6. Dokumentasi Program Komputasi

Lampiran 7. Dokumentasi Survei Lapangan

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