h01_ilwis_miras

8/14/2019 H01_ILWIS_MIRAS

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BENY HARJADI, Peneliti Madya BPK Solo iii

DAFTAR ISI

No. Hal

JUDUL MIRAS... .i

KATA PENGANTAR. .ii

DAFTAR ISI.. .iii

I. PERINTAH ILWIS. 1

II. SIMBOL DI NAVIGATOR ILWIS 5

III. DATA SATELIT DIGITAL... 9

IV. INFORMASI DATA.. 10

V. SLOPE-ASPECT 11

VI. DIGITIZING ILWIS. 14

VII. ALBEDO. 16

VIII. LAND EVALUATION 17

IX. CALCULATE (PERHITUNGAN). 18X. SINGKATAN 21

X. LATIHAN SOAL EVALUASI LAHAN.. 24


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BENY HARJADI, Peneliti Madya BPK Solo 1

I. PERINTAH ILWIS

OPERATION TREE

(GROUP)

OPERATION LIST

(ALFABET)I. SHOW 1.Aggregat Map Open Object 2.Anaglyph

II. PIXEL INFO 3.Anisotropic Kriging

Pixel Information 4.Apply 3 D

III. EDIT 5.Area Numbering

Edit Object 6.Attribute Map of Point Map

IV. VISUALIZATION 7.Attribute Map of Polygon

Show 8.Attribute Map of Raster Map

Table Map 9.Attribute Map of Segment

Show Map List 10. Autocorrection-semivari

Display 3 D 11. Classify

Applay 3 D 12. Cluster

Show Stereo Pair 13. Co Kriging

V. VECTOR OPERATIONS 14. Color Composite

Unique 15. Color Composite Interactive

Polygone 16. Color Separation

Segments 17. Correlation Matrix

Points 18. Cross

Transform Coordinat 19. Cross Variogram

VI. RASTER OPERATION 20. Densify Segment Coord

Map Calculation 21. Denstripe TM

Attribute Map of Raster 22. Display 3 D Cross 23. Distance Calculation

Aggregate Map 24. Edit

Distance Calculation 25. Epipolar Stereo Pair

Iteration 26. Export


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Point to Raster 58. New Layout

Point Density 59. New Map List

X. VECTORIZE 60. New Object Collection

Raster to Polygon 61. New Point Map

Raster to Segment 62. New Raster Map

Raster to Point 63. New Representation

Polygon to Segment 64. New Rose Diagram

Polygon to Point 65. New Sample Set

Segment to Polygon 66. New Script

Segment to Point 67. New Segment Map

XI. TABLE OPERATION 68. New Table

Transpose Table 69. Pattern Analysis

Table Change Domain 70. Pixel Info

Table to Point 71. Point Density

Table Glue 72. Point to Raster

XII. DEM HYDRO-PROCESSING 73. Point to Segment

(HYDROLOGIC FLOW) 74. Polygon to Raster

DEM Visualization 75. Polygon to Segment

Flow Determination 76. Principal Components

Flow Modification 77. R 2

Variable Threshold Extraction 78. Raster to Point

Network and Catchment Extraction 79. Raster to Polygon

Compound Parameter Extraction 80. Raster to Segment

Statistical Parameter Extraction 81. Resample

XIII. CREATE 82. Sample Map

New Raster Map 83. Segment Density

New Segment Map 84. Segment to Point

New Point Map 85. Segment to Polygon

New Layout 86. Segment to Raster

New Table 87. Show

New 2 Dimension Table 88. Sample Haze Correction


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New Graph 89. Slicing

New Rose Diagram 90. Slide Show

New Domain 91. Slope

New Representation 92. Spatial Correlation

New Georeference 93. Stereoscope

New Coordinate System 94. Stretch

New Map List 95. Sub Map of Point Map

New Sample Set 96. Sub Map of Raster Map

New Filter 97. Sub Map of Segment Map

New Function 98. Table Change Domain

New Script 99. Table Glue

New Object Collection 100. Table to Point

New Directory 101. Transform Coordinates

XIV. IMPORT/EXPORT 102. Transform Points

Import Map 103. Transform Polygon

Import Table 104. Transform Segments

Import Via GeoGateway 105. Transpose Table

Import General Raster 106. Trend Surface

Export 107. Tunnel Segments

XV. SCRIPT 108. Unique ID

NDVI 109. Variance-Covariance

R 2 110. Variogram Surface

Slope


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II. SIMBOL DI NAVIGATOR ILWIS

Koordinat Sistem Proyeksi

Raster

Georeferensi


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Data Statistik dan Grafik

Warna poligon

Tabel (Tabulasi data)

]


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Folder File

Citra satelit dan kanal/band

Segment Garis


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Sampel Set Klasifikasi Berbantuan

Titik Koordinat Lapangan

Map Komposisi

Vektor Poligon

Script Pernyataan Faktorial

Domain Class atau Group


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III. DATA SATELIT DIGITAL

Lon. : 77o 50 58.74 E

Lat. : 30

o

25 17.57 N

Raster : Geometric Correction

Import

Type : Genetic Binary

Media : File

Look-in : Imagery L-3

Output : Sat.data

Record length : 6120Row : 6066 Bands : 4

Col : 5974

Ok


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IV. INFORMASI DATA

Infromation :

File Open pixel information File

Add Map = 4 Add Map = 3 Add Map = 2

Nomer Band Landsat 1 2 3 4 5 6 7

Panjang Gelombang 0.45-

0.52

0.52-

0.60

0.63-

0.69

0.76-

0.90

1.55-

1.75

10.04-

12.50

12.08-

12.35

Nama Band Blue Green Red NIR MIR Thermal FIR

NDVI = (NIR-R)/(NIR+R) = (B4-B3)/(B4+B3)

RVI = IR/R

TVI = (NDVI + 0.5)1/2

Komposisi Warna :

Operation List (OL) Color Composite

Red (R) = 4 Green (G) = 3

Blue (B) = 2


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V. SLOPE ASPECT

A. Bahan Peta Dasar :1. Soil Map (SOIL)

2. Contour Map

B. Analisis Slope-Aspect3. DEM (raster)

Operation Interpolation

Interpolation Contour

4. Masker DEM dengan Soil MapFormula : M_DEM = iff (isundef (SOIL), ?, DEM)

5. Dx, Dy Image Processing Filter Operation

Linear : df Dx---------Dx.df Dy---------Dy

6. Slope-AspectFormula Slope (Prosen)----SlopePCT=100xHYP(Dx,Dy)/PIXEL SIZE DEM

Degree (Derajat)Slope DEG=RadDeg (ATAN)slope PCT/100))

Formula AspectTR = ATAN2(Dx,Dy))+PI

TD = Raddeg(AspectTR)

7. Classification (SLICING)

Operation Image processing

Slicingo Raster Mapo Output :o Domain :

Give and create Group : Edit Add item

Show


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SLOPE ASPECT

A 0 - 4 N 22.5

B 4 8 NE 67.5

C 8 15 E 112.5

D 15 25 SE 157.5E 25 35 S 202.5

F 35 45 SW 247.5

G 45 65 W 292.5

H 65 - 85 NW 337.5

I > 85 N2 361

RESAMPLE

Change pixel size dari 23.5 cm menjadi 50 cm

Operations Image processing

Resample Mapo Nearest Neighberhoodo Bilinearo Bicubic

HELP

Help Search

Ketik : Slope Map List Topics

o How to Calculate Slopeo Contour Interpolation

SINGLE BAND CLASSIFICATION

Operation Tree (OT) Import via Geo Gateway

Nama File (NF) : (Georeference)

Operation List (OL) Slicing

Raster Map : NF Output Raster Map : ----- Domain : -----

o Group

Operation Tree (OT) NDVI

Optionso Show Histogramo Right Click : Statistik


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Operation Tree (OT) Image processing

Filter Stretch Slicing

o

Color Separationo Color Composite Interactiveo Color Compositeo Clustero Sample Mapo Classify

Resampleo Epipolar Stereo Pairo Stereo Pair from DTM


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VI. DIGITIZING ILWIS

1. Persiapan Data Digital

Operation Tree (OT) Import/Export

2. Koordinat

Operation List (OL) New Coordinat System

Everest

Indian

Coordinat System Lat/Lon :

o Long : Max = 78.15Min = 78.00

o Lat : Max = 30.0Min = 30.15

3. Georeference

Operation List (OL) New Georeference Tic Point

Nameo Coordinat Systemo Grey : NF

Back Ground :

o Long : Max = 77o

55Min = 77

o50

o Lat : Max = 30o 25Min = 30o 20

Sigma < 0.5

Open Add Tie Point Change Lat/Lon Row (Lat)/Col (Lon)

4. Digitizing Create Segment Map

NF Create domain : NF

Class

Open Add Tic


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VII. ALBEDO

Albedo12_Jan99 = 0.051+(0.798*M_jan99c1)+(0.188*M_jan99c2)

MASK-------- M_jan99c1=iff(isundef(gluse),?,rja99c1)

Glues = iff(isundef(gujarea),?,finluse)

Finluse = iff(isundef(lusef7),?,gluse)

Guj_Mask = MapResample(boundary,mpr,unique,grf,nearestneighbour)

Land Surface Temperature--- LST_jan=M_rja99c4+3.33*(M_rja99c4-M_rja99c5)LST = T4 + 3.33*(T4 T5)------------Price (1984)

LST = CTv +(1+C)Tbs------------------Kerr et al (1992)


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VIII. LAND EVALUATION

Diawali dengan pembuatan Tabel SOILs

File Create

NF = Soil_1 Do = Soil (File Soil.map)

Coloumn Add Coloumn

Soildep (SOILDEPTH)o Domain = Soildepo Classo Ok

Add Coloumn

Text (TEXTURE)o Domain = Texto Classo Ok

Add Coloumn Coafrag (COARSEFRAG)

o Domain = Coafrago Classo Ok

Add Coloumn Drain (DRAINAGE)

o

Domain = Draino Classo Ok

File Create

Table : NT

Add Coloumn New Coloumn : NC

o

Domain = NCo Classo Ok

< 5

5 1010 25

25 45

45 65> 65

Well

Mod=WellModerateExcessive

SoilSoil_1

NCNew Table (NT)


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IX. CALCULATE (PERHITUNGAN)

A. Calculate Peta Kesesuaian Gandum :1. Soil Depth

Soildepth1=iff(soildep>=90,1,iff(inrange(soildep,40,90),2,iff(inrange(soildep,20,40),3,4)))

2. TextureText1=iff(text=l,1,iff(text=sl,2,iff(text=scl,3,4)))

3. Coarse Fragment

Cofrag1=iff(coafrag=slight,1,iff(coafrag=moderate,2,iff(coafrag=severe,3,4)))

4. Suitable for WHEAT

a. Combination : soildepth, texture, coarse fragmentDetxfrg = Max (soildepth1, text1, cofrag1)b. Combination : drainase, erosionDocros = Max (drain1, eros1)

c. Maxximum dari cimbination a dan bWheat1 = Max (detxfrg, docros)

5. Map : Peta dari Wheat (Penyebaran Tanaman Gandum)

Wheat1 = Soil.Soil_1.wheat1 = Map*Table*Coloumn

B. Calculate Peta Tingkat Kesesuaian Jenis :

1. Slope SuitabilitySlsuit=iff(slope


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C. Calculate ET LOSS

File Create

Tableo NF : Schemeo

Dom : Scheme

CROSS (Scheme-Crop) Scheme Crop

JOINING TABLE (Scheme) Coloumn

Join

Table

Scheme-Crop

ET Loss1 Table Scheme-Crop

ET Loss = 8*Kc*10 = mmET Loss1 = (ET Loss + Area)/100 = m3

D. Calculate Percolation

CROSS (Scheme-Crop) Scheme Crop

File Create

Table NF : Soil

Do : Soil

Joining Table = Soil + Sc_So Coloumn Join Table

Sc_So

Texture

Formula Scheme Crop

E. Calculate Water Loss

CROSS Scheme + Canal (Sc Cn) Scheme + Distance (Sc Ds)

Formula = (Distance * 0.2)+(192.7*0.01)


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X. SINGKATANAgRISTARS : Agriculture and Resource Inventory Survey Through Aerospace RSAIS : Airborne Imaging SpectrometerAIS & LUS : All India Soil and Land Use Survey

AMSS : Advanced Multispectral ScannerARIES : Australian Resource Information SatelliteARIMA : Auto Regressive Integrated Moving AverageARISE : Agriculture Resource Inventory Survey ExperimentARVI : Atmospherically Resistant Vegetation IndexASAS : Advanced Solid State Array SpectrometerAVHRR : Advanced Very High Resolution RadiometerAVHRR : Advance Very High Resolution RadiometricAVIRIS : Airborne Visible Infra Red Imaging SpectrometerAWiFS : Advanced Wide Field SensorBES : Bureau of Economics and StatisticsBT : Brightness TemperatureCACA : Cotton Acrage and Condition AssessmentCAIS : Compact Airborne Imaging SpectrometerCAPE : Crop Acreage and Production EstimationCAPE : Crop Acreage and Production EstimateCASI : Compact Airborne Spectrographic ImagerCAZRI : Central Arid Zone Research InstituteCBWE : Corn Blight Watch ExperimentCGMS : Crop Growth and Monitoring SystemCGMS : Crop Growth Monitoring System

CIR : Colour Infra RedCIS : Crop Information SystemCITARS : Corp Identification Technology Assessment for Remote SensingCWSI : Crop Water Stress IndexDAC : Department of Agriculture and CooperationDAIS : Digital Airborne Imaging SpectrometerDARD : Departement of Agriculture and Revenue DepartmentDES : Directorate of Economic and StatisticsDFBD : Digital Field Boundary Data SystemDIP : Digital Image ProcessingDN :

Digital NumberDOS : Departement of SpaceDSS : Dicission Support SystemEMIS : Environmental Management Information SystemEMS : Electro Magnetic SpectrumENVI : Environemental Visual InterpretationENVIS : Environmental Information SystemEOS : Earth Observing system


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ERTS-1 : Earth Resources Technology Satellite (Landsat-1)FAO : Food Agriculture OrganisationFASAL : Forecasting Agriculture output using Space Agro-meteorology and Land

Based ObservationFCC : False Colour Composite

Geo-LIMIS : Geographically Encoded Locust Impact Minimization Infromation SystemGERIS : Geophysical Environment Research Imaging SpectrometerGI : Greenness IndexGIEWS : Global Information and Early Warning SystemGIS : Geographic Information SystemGMLC : Gaussion Maximum Likelihood ClassificationGNP : Gross National ProductGPR : Ground Penetrate (Data) RadarGPS : Global Positioning SystemGVI : Green Vegetation IndexHIRIS : High Resolution Imaging SpectrometerHIRIS : High Resolution Imaging SpectrometerHIS : Hyper Spectral ImagerHRV : High Resolution VisibleHYDICE : Hyperspectral Data Image CollectionICAR : Indian Council of Agriculture ResearchIHS : Intensity Hue SaturationIPM : Integrated Pest ManagementIRS : Indian Remote Sensing SatelliteISRO : Indian Space Research OrganisationLACIE : Large Area Crop Inventory Experiment

LAI : Leaf Area IndexLISS : Linear Imaging Self ScanningMARS : Monitoring Agriculture Through Remote SensingMDMC : Minimum Distance to Mean ClassificationMIR : Middle Infra RedMLA : Multi Linear ArrayMODIS : Moderate Resolution Imaging SpectrometerMSS : Multi Spectral ScannerMXL : Maximum Likelihood ClassifierNASA : The National Aeronautics and Space Administration

NASA: National Atmospheric and Space AdministrationNATMO : National Atlas and Thematic Mapping Organisation

NBSS&LUP : National Bureau of Soil Survey and Land Use PlanningNDVI : Normalized Difference Vegetation IndexNIR : Near Infra RedNOAA : The National Oceanic and Atmospheric AdministrationNRSA : National Remote Sensing AgencyNSI : Non-such Index


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NSS : National Sample SurveysNSSD : National Sample Survey OrganisationOIF : Optimum Index FactorPA : Precision AgriculturePAN : Panchromatic

PC : Personal ComputerPC : Parallelpiped ClassifierPCA : Principal Component AnalysisPLA : Panchromatic Linear ArrayPVI : Perpendicular vegetation IndexRDBMS : Relation Data Base Management SystemRGB : Red Green BlueRISAT : Radar Imaging SatelliteRSAM : Remote Sensing Application MissionRSAM : Remote Sensing Application MissionRVI : Ratio Vegetation IndexSAC : Space Applications CentreSAR : Synthetic Aperture RadarSAVI : Soil Adjusted Vegetation IndexSBI : Soil Brightness IndexSDD : Stress Degree DaySDSI : Satellite Derived Stress IndexSLUB : State Land Use BoardsSOI : Survey of IndiaSPOT : Satellite Pour lObservation de la TerreSRTM Shuttle Radar Thematic Mapper

SSLR : Settlement Survey and Land RecordSWI : Soil Wetness IndexTCI : Temperature Condition IndexTCPO : Town and Country Planning OrganisationTIR : Thermal Infra RedTM : Thematic SystemTVI : Transformed Vegetation IndexUSDA : The United State Departement of AgricultureUSGS : United Stated of Geoscience SurveyVCI : Vegetation Condition Index

VIBGYOR: Violet, Indigo, Blue, Green, Yellow, Orange, RedVIN : Vegetation Index Numbering

VNIR : Visible Near Infra RedVRT : Variable Rate TechnologyWBM : Wet BiomassWI : Wetness IndexWiFS : Wide Field SensorsYVI : Yellow Stuff Vegetation Index


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X. LATIHAN SOAL EVALUASI LAH

NO Map

Unit

Surface

Texture

Coarse

Fragmen

Soil Depth

(cm)

Effective Dra

1 P111 Sl 15 % > 150 63 W

2 P112 Csl 35 % > 150 21 W

3 P113 Csl 25 % > 150 30 W

4 P12 Sl 20 % > 150 45 W

5 P211 Sl 3 % > 150 95 W

6 P212 Sl 8 % > 150 60 W

7 P213 Csl 10 % > 150 55 W

8 P214 Sl 20 % > 150 55 W

9 P22 L 3 % > 150 100 Mod10 P311 L - > 150 160 W

11 P312 Sl 3 % > 150 160 W

12 P32 Sl 7 % > 150 160 W

13 P33 L 5 % > 150 160 W

14 F13 Csl 3 % > 150 55 W

15 M1 Sl 65 % > 150 32 exce

16 M2 Csl 50 % > 150 28 exce


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Aspect1:MapSlicing(ASPECTD,Aspect)

ASPECTD:RADDEG(ATAN2(DX,DY)+PI)


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F_aspect:iff(geology=AP,N,Aspect)

F_aspect1:iff(geology=rv,rv,F_Aspect)


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V_aspect1:F_aspect1.Aspect.V_aspect

SLOPDEG:RADDEG(ATAN(SLOPEPCT/100))


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SLOPEPCT:100*HYP(DX.DY)/10

SlopeABC:MapSlicing(SLOPEPCT.SlopeABC)


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SlopeLMH:MapSlicing(SLOPEPCT,SLopeLMH)

Slopelmh1:MapFilter(SlopeLMH.mpr,MAJORITY.fil)


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LuLMH:Landuse.Landuse.CLLU

V_luse:LuLMH.V_LUSE.V_Luse


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VLU:V_LUSE.V_LUSE.V_LUSE

V Slo e:Slo eLMH.V Slo e.V Slo e


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Soil:MapRatserizePolygon(SOIL.mpa.unique.grf)

SoilLMH:Soil.Soil.CLTX


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V_Soil:SoilLMH.V_Soil.V_Soil

DensityLHM:SubWtrshd.Dr_density.Dd


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V_density:DensityLHM.V_density.V_density

VD:V_DENSITY.V_density.V_density


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SES:V_Aspect1*V_density*V_luse*V_slope*V_soil

SES_S:MapSlicing(SES,SES_S)


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F_SES:iff(gology=rv,River,SES_S)

SES1:iff(Landuse=settlement,settlement,F_SES)


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SubWtrsh:MapRasterizePolygon(SubWtrshd.mpa,unique.grf

SES2:iff(Landuse=barren/scrub,barren/scrub,SES1)


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SES_SWP:MapSlicing(SES_SW_P,SES_SWP)

SES_SW_P:subwtrshd.SES_SW_Prio.SES_SW


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SOILASPECT

LANDUSE

SES_SW

DRAINASESubW_SES

V_soil

V_slopeV_LUSE

V_densityV_Aspect

Watershed_bi:MapRasterizeSegement(Watershed_bi.mps,unique.grf)


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Gambar 2. Model MMF (Morgan, Morgan & Finney)

Land Use Tanah Curah Hjn

DEM

Lereng (o)

Lereng (%)

Interpolasi

Kontur

Liss IV

Peta

Topografi

Hjn harian

FAKTOR SIFAT

TANAH

1. Kelembaban tanahpada 1/3 bar (MS)

2. Bobot jenis (BD)3. Indek erodibilitas

tanah (K)

FAKTOR

PENGG.LAHAN

1.Pengelolaantanaman (C)2.Intercepsi dan

aliran batang (A)

3.Evapotranspirasi(Et/Eo)

4.Kedl. akar (RD)

Intensitas

(I=mm/hr)

Energi Kinetik

(E=j/m2)

Alr.permukaan

(Q=mm)Rc=100*MS*BD*RD*(Et/Eo)0.5

Dampak pukulan air hujan (kg/m2)

F= K*(E*exp (-0.05*A)* 10-3

F=K*(E*e-0.05*A

)*10-3

Kapasitas angkut alir permukaan (kg/m2)

G = C*Q2*SinS*10

-3

G = C*Q2*Sin(degrade(slopedeg))*10

-3

Minim Kehilangan TanahMin_SL = min (G,F)

= kg/m2

Kehilangan TanahMin_SL * 10

= ton/ha


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SOIL_F:iff(landuse=River bed,River bed,Soil)

SOIL_F:iff(landuse=River bed,River bed,Soil)


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SO_SL:MapCross(SOIL_F.mpr,Soilloss_F1.mpr.SO_SL.tbt1)


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F_erosion_m2:MapFilter(F_erosion1_m1.mpr,MAJORITY.fil)


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SLSW:Subwtrshd.M_SW.SLSW


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SLSO:SOIL_F.M_SO.SLSO

LU_SL:MapCross(Landuse.mpr,Soilloss.mpr,Soilloss_F1,LU_SL.tbt1)


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F_Luse:iff(isundef(Landuse03),F_Luse,Landuse03)

Landuse:F_Luse1.F_Luse.F_Luse


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SubWtrshd:MapRasterizePolygon(SubWtrshd.mpa,unique.grf)


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SW_SL:MapCross(SubWtrshd.mpr,Soilloss_F1.mpr,SW_SL.tbt1)


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FCC SLOPE LU/LC

SOIL MAP PRIORITISATIONSUGGESTED

F - VALUESG - VALUES

Soil Loss


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Klasifikasi perubahan

LULC suatu DAS dari

citra satelit

NDVI

MMF

K-FACTOR LS-FACTOR

CP-FACTOR


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BIODATA BENY HARJADI

Data Diri :Nama : Ir. Beny Harjadi, MSc.

Tempat/Tanggal Lahir: Surakarta, 17 Maret 1961

NIP/Karpeg : 19610317.199002.1.001/ E.896711

Pangkat/Golongan : Pembina / IVb

Jabatan : Peneliti Madya

Riwayat Pendidikan :

TK : TK Aisyiyah Premulung, Surakarta (1967)SD : SD Negeri 94 Premulung, Surakarta (1973)

SMP : SMP Negeri IX Jegon Pajang, Surakarta (1976)

SMA : SMA Muhammadiyah I, Surakarta (1980)

S1 : IPB (Institut Pertanian Bogor), Jurusan Tanah/Fak.Pertanian,BOGOR (1987)Kursus LRI (Land Resources Inventory) kerjasama dengan New Zealand selama 9 bulan

untuk Inventarisasi Sumber Daya Lahan (1992), INDONESIA-NEW

ZEALAND

S2 : ENGREF (cole Nationale du Gnie Rural, des Eaux et des Forst), JurusanPenginderaan Jauh Satelit/ Fak.Kehutanan, Montpellier, PERANCIS (1996)

PGD : Post Graduate Diplome Penginderaan Jauh, di IIRS (Indian Institute of RemoteSensing) di danai dari CSSTEAP (Centre for Space Science & TechnologyEducation in Asia and The Pasific) Affiliated to the United Nations (UN/PBB :Perserikatan Bangsa-Bangsa), Dehradun INDIA (2005).

Riwayat Pekerjaan :1. Staf Balai Teknologi Pengelolaan Daerah Aliran Sungai (DAS), Surakarta

(1989).

2. Ajun Peneliti Madya Bidang Konservasi Tanah dan Air pada BTPDAS-WIB(Balai Teknologi Pengelolaan DAS Wilayah Indonesia Bagian Barat), 1998.

3. Peneliti Muda Bidang Konservasi Tanah dan Air pada BTPDAS-WIB (BalaiTeknologi Pengelolaan DAS Wilayah Indonesia Bagian Barat), 2001.

4. Peneliti Madya Bidang Konservasi Tanah dan Air pada BP2TPDAS-IBB (BalaiLitbang Teknologi Pengelolaan DAS - Indonesia Bagian Barat), 2005.

5. Peneliti Madya Bidang Pedologi dan Penginderaan Jauh pada BPK (BalaiPenelitian Kehutanan) Solo, 2006

Riwayat Organisasi :1. Menwa Mahawarman, Jawa Barat (1980 1985)2. HMI (Himpunan Mahasiswa Islam), (1980 1983)3. Ketua ROHIS BP2TPDAS-IBB, 2 periode (2000-2006)

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