Slide 1

Crop Mapping in Stanislaus County using GIS and Remote SensingRamesh Gautam, Jean Woods, Simon Eching, Mohammad Mostafavi

Land Use Section, Division of Statewide Integrated Water Management

California Department of Water Resources

Usefulness of Land Use MappingQuantify crop acreage based on crop typesEstimate evapotranspirationDetermine urban landscape acreageInput for groundwater and surface water modelsVerify fields fallowed for water transfersMap urban growth patternsEstimate economic impacts of flooding

Why Remote Sensing Based Crop Mapping is NeededReduce the extent of required field mapping by identifying permanent cropsAccurately assess crop acreageEstimate annual crop water use for the California Water Plan Accurately estimate evapotranspiration on a field levelDetermine the annual extent of fallowingVerify fields fallowed for water transfersStudy Area

Stanislaus CountyArea: 1,515 sq milePopulation: 515,000Overall Crop Mapping StrategyAll CropsDecision Tree Based ClassificationOrchards Non-Orchards LCRAS Based ClassificationTime series based Vegetation Index AnalysisCorn, Mixed Pasture, Fallow, Dry Beans, Tomato, MelonsAlfalfaAutocorrelation & LIDARVineyards Classify orchards from non-orchard cropsGray Level Co-occurrence Matrix Algorithm was used to classify orchardsTextural patterns distinguish orchards from other crops eCognition Developer software was used to develop the algorithmDecision Tree Classification TechniqueData ProcessingTextural parameters are analyzed to evaluate the fields having coarse texture versus fine texture

First Level of Classification: Results

Recently planted orchards were classified in next level as shown in next slideNon-orchardsOrchardsBare land and new orchardsFarmsteadsUrban areaPoultry farmsHighways/RoadsLEGEND

How recently planted orchards have been captured in second level of classification Non-orchardsOrchardsBare land and new orchardsFarmsteadsUrban areaPoultry farmsHighways/RoadsLEGENDSecond Level of Classification: Results

Non-orchardsOrchardsBare land and new orchardsFarmsteadsUrban areaPoultry farmsHighways/RoadsLEGENDFinal Classification

Mapping Orchards in Stanislaus CountyMapping Non-Orchards using Lower Colorado River Accounting System (LCRAS)Ground Truth SurveyCollect Crop Attributes(12% of Total Fields)QC Ground Truth DataUpdate Field Border DatabaseDevelop Personal Geo-database of Ground-truth data in ArcGISRandomly Select Training Data (60%)Perform Image Segmentation in eCognition Developer for Training DataCreate Signatures in Erdas ImagineData ProcessingUsing eCognition Developer software, crop fields are segmented into polygons of similar spectral characteristics.

LCRAS Classification Method ContdLANDSAT-5 ImageBands 1-5 and 7Perform Supervised Classification of Spectral CharacteristicsIdentify Crops at the Field Level Based on ClassificationPerform Accuracy AssessmentRe-evaluate signature setsIdentify Mislabeled Fields Based on Ground TruthOverall Classification 90%?YesEndNoYear 2010 Crop Map, Stanislaus County, California

Staff Time Requirements for Crop ClassificationQuestions?