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JECAM JECAMGEOGLAM Science Meeting Brussels Belgium 16 17 November 2015 Investigators Dr Chi Farn Chen CSRSR NCU Taiwan Mr Horng Yuh Gua TARI Taiwan Dr Nguyen Thanh Son CSRSR NCU ID: 819386

data rice crop taiwan rice data taiwan crop yield soil classification 1000 jecam accuracy field modis radarsat 2014 tari

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JECAM Taiwan TARI siteJECAM/GEOGLAM Sc
JECAM Taiwan TARI siteJECAM/GEOGLAM Science MeetingBrussels, Belgium16-17 November, 2015Investigators:Dr. Chi-Farn Chen, CSRSR, NCU, TaiwanMr. Horng-Yuh

Gua, TARI, TaiwanDr. Nguyen Thanh Son,
Gua, TARI, TaiwanDr. Nguyen Thanh Son, CSRSR, NCU, TaiwanDr. Cheng-Ru Chen, CSRSR, NCU, TaiwanMr. Tsz Feng Lin, TARI, TaiwanSite description•Area: 3,070 km

2•64 townships•Rice calendar:ïƒ
2•64 townships•Rice calendar:1stcrop: Feb − Jul2ndcrop: Jul − Dec•Growing cycle: 110 − 130 daysSite description•Topography: Pla

in•Soil type: Silt loam•Drainag
in•Soil type: Silt loam•Drainage class/ irrigation: Moderate –imperfect•Field size: 0.5 − 1.1 ha •Climate: Subtropicalmonsoon/ Typhoon/ Dro

ught •Agricultural method: Tradition
ught •Agricultural method: Traditional farmingCrop identification and crop area estimation•Aerial photo –Rice field •Optical satellite image–FORM

OSAT-2, SPOT, Landsat and so on.•D
OSAT-2, SPOT, Landsat and so on.•Data fusion –SPOT/MODIS, Landsat/ MODIS •SAR –Radarsat-2 2014 (SOAR-JECAM Project)SVM classification result wi

th Lansat 8/MODIS data fusion in 2013S
th Lansat 8/MODIS data fusion in 2013SAR data: Radarsat-2•Provided by SOAR-JECAM project •1 February~15 October,2014 •Mode:VV + HV•1strice

cropping season (Feb.~ Jul.)•Res. :
cropping season (Feb.~ Jul.)•Res. : 5 mRice backscattering characteristicsNormalized Difference Singma-0 IndexClassification resultRiceNon-riceTotalRef

erenced datarice8611391000non-r
erenced datarice8611391000non-rice1068941000total96710332000Producer Accuracy (%)86.189.3User Accuracy (%)89.086.5Overall Accuracy (%)87.7K

appa coefficient0.75Threshold-base
appa coefficient0.75Threshold-based classification results of the 1stcrop in 2014Image classification resultRice referenced mapIn situ Data•Land cover

map •Soil database•Government st
map •Soil database•Government statistical data•Yield samplingRecord formrecordCropExcel join to shapefileLand cover map of thecentral-west part

of TaiwanSand micro-photoCharacteris
of TaiwanSand micro-photoCharacteristic CurveWet/dry colour12Soil database derived from soil survey programs Yield surveySun DriedSample DW(ω)Sampling

Harvesting9 hills of 1 SampleThrashin
Harvesting9 hills of 1 SampleThrashingWeighing5 temporal radar images (Radarsat-2)PreprocessingMultiple regression analysisGeometry correction for investiga

ting dataR² = 0.785450060070080090
ting dataR² = 0.78545006007008009001000110012001300600800100012001400Yield EstimationGround TrustYield Estimation Accuracy 85-90%Prediction of pa

ddy rice yield by multi-temporal rada
ddy rice yield by multi-temporal radar imagesEstimating the yield of a townshipResearch plan and collaboration•Use UAV , VGIS (volunteer geographic informati

onsystem) and IOT/sensor network to co
onsystem) and IOT/sensor network to collect field data.•Method validation.•New data: ALOS 2, Sentinel 1/ 2 •Crop yield model comparison•The methods

are still improved for mapping other s
are still improved for mapping other short-term crops.•We have participated in a collaborative project with scientists from other study sites.Thank youfor